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  "aboutHtml": "<p>Ming Image 0.1 Design Layer adalah model gambar ke gambar dari inclusionAI untuk memisahkan desain yang telah diratakan menjadi lapisan RGBA. Pilih ID persis inclusionai/ming-image-0.1-design-layer dengan metode Images pada POST /v1/images/generations. Perannya adalah menerima komposisi yang sudah ada dan rencana lapisan tertulis, lalu mengembalikan keluaran gambar terpisah untuk setiap lapisan.</p><p>Berikan tepat satu gambar referensi melalui input_references dan jelaskan apa yang perlu dipisahkan di prompt. Representasi referensi yang didokumentasikan menerima URL gambar HTTP(S) atau URL data base64. Rencana lapisan yang berguna dapat membedakan latar belakang, objek utama, dan dekorasi latar depan, dengan menjelaskan elemen terlihat yang perlu dikelompokkan. Gunakan desain aktual yang telah diratakan sebagai referensi agar pemisahan terikat pada komposisi yang ingin Anda edit.</p><p>Profil khusus model menetapkan input_references ke satu referensi dan n ke 1. Pengaturan permintaan tersebut menjelaskan satu pemisahan yang diminta; perilaku model yang didokumentasikan mengembalikan satu gambar per lapisan. Simpan setiap gambar dalam respons, alih-alih menganggap item data pertama sebagai keseluruhan hasil. Prompt perlu menyampaikan pengelompokan elemen yang diinginkan, sedangkan lapisan yang dikembalikan menyediakan kumpulan keluaran aktual untuk diperiksa.</p><p>Pilihan output_format yang didukung adalah png dan webp. Dimensi keluaran mengikuti gambar masukan. Nilai size dan aspect_ratio yang eksplisit ditolak untuk edisi ini, jadi siapkan gambar referensi dengan dimensi yang diperlukan untuk komposisi dan jangan tentukan kontrol tersebut. Pemilih persis ini mengidentifikasi edisi Design Layer, yang masukannya berupa desain yang sudah ada dan keluarannya terdiri dari lapisan gambar.</p><p>Pembuatan menggunakan respons gambar lengkap dan profil khusus model ini tidak mendukung streaming. Dekode setiap gambar b64_json yang dikembalikan atau ambil setiap URL gambar yang dikembalikan, dengan mempertahankan format keluaran aktual saat menyimpan berkas. Simpan lapisan bersama gambar sumber dan rencana lapisan. Dalam editor yang mendukung lapisan, periksa area transparan, pemisahan elemen yang berdekatan, dan komposisi keseluruhan yang dirangkai ulang sebelum membuat perubahan lokal.</p><p>Hasilnya berupa sekumpulan lapisan gambar raster. Hasil ini dapat mendukung penataan ulang, penggantian elemen visual satu per satu, atau pengomposisian lanjutan dalam editor, dengan sumber yang tetap tersimpan untuk perbandingan. Periksa tulisan dan tepi objek yang melintasi batas lapisan agar pemisahan yang dipilih tetap berguna bagi revisi yang diinginkan.</p>",
  "aboutText": "Ming Image 0.1 Design Layer adalah model gambar ke gambar dari inclusionAI untuk memisahkan desain yang telah diratakan menjadi lapisan RGBA. Pilih ID persis inclusionai/ming-image-0.1-design-layer dengan metode Images pada POST /v1/images/generations. Perannya adalah menerima komposisi yang sudah ada dan rencana lapisan tertulis, lalu mengembalikan keluaran gambar terpisah untuk setiap lapisan.\n\nBerikan tepat satu gambar referensi melalui input_references dan jelaskan apa yang perlu dipisahkan di prompt. Representasi referensi yang didokumentasikan menerima URL gambar HTTP(S) atau URL data base64. Rencana lapisan yang berguna dapat membedakan latar belakang, objek utama, dan dekorasi latar depan, dengan menjelaskan elemen terlihat yang perlu dikelompokkan. Gunakan desain aktual yang telah diratakan sebagai referensi agar pemisahan terikat pada komposisi yang ingin Anda edit.\n\nProfil khusus model menetapkan input_references ke satu referensi dan n ke 1. Pengaturan permintaan tersebut menjelaskan satu pemisahan yang diminta; perilaku model yang didokumentasikan mengembalikan satu gambar per lapisan. Simpan setiap gambar dalam respons, alih-alih menganggap item data pertama sebagai keseluruhan hasil. Prompt perlu menyampaikan pengelompokan elemen yang diinginkan, sedangkan lapisan yang dikembalikan menyediakan kumpulan keluaran aktual untuk diperiksa.\n\nPilihan output_format yang didukung adalah png dan webp. Dimensi keluaran mengikuti gambar masukan. Nilai size dan aspect_ratio yang eksplisit ditolak untuk edisi ini, jadi siapkan gambar referensi dengan dimensi yang diperlukan untuk komposisi dan jangan tentukan kontrol tersebut. Pemilih persis ini mengidentifikasi edisi Design Layer, yang masukannya berupa desain yang sudah ada dan keluarannya terdiri dari lapisan gambar.\n\nPembuatan menggunakan respons gambar lengkap dan profil khusus model ini tidak mendukung streaming. Dekode setiap gambar b64_json yang dikembalikan atau ambil setiap URL gambar yang dikembalikan, dengan mempertahankan format keluaran aktual saat menyimpan berkas. Simpan lapisan bersama gambar sumber dan rencana lapisan. Dalam editor yang mendukung lapisan, periksa area transparan, pemisahan elemen yang berdekatan, dan komposisi keseluruhan yang dirangkai ulang sebelum membuat perubahan lokal.\n\nHasilnya berupa sekumpulan lapisan gambar raster. Hasil ini dapat mendukung penataan ulang, penggantian elemen visual satu per satu, atau pengomposisian lanjutan dalam editor, dengan sumber yang tetap tersimpan untuk perbandingan. Periksa tulisan dan tepi objek yang melintasi batas lapisan agar pemisahan yang dipilih tetap berguna bagi revisi yang diinginkan.",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">inclusionAI: Ming Image 0.1 Design Layer</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Tutup\">×</button></div><div class=\"idline\"><span>inclusionAI /</span><code>inclusionai/ming-image-0.1-design-layer</code><button type=\"button\" id=\"copy-id\">Salin ID</button></div><nav class=\"card-jump-nav\" aria-label=\"Bagian kartu model\"><button type=\"button\" data-card-jump=\"overview\">Mulai</button><button type=\"button\" data-card-jump=\"methods\">Masukan &amp; metode</button><button type=\"button\" data-card-jump=\"pricing\">Paket</button><button type=\"button\" data-card-jump=\"examples\">Contoh</button><button type=\"button\" data-card-jump=\"results\">Hasil</button><button type=\"button\" data-card-jump=\"aliases\">Alias</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"Metode API\"><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-0\" data-card-method=\"Ultra|images|/v1/images/generations|inclusionai%2Fming-image-0.1-design-layer\">Gambar</button></div><div id=\"card-method-content\" role=\"tabpanel\" aria-labelledby=\"card-method-tab-0\"><section class=\"card-section\" data-card-section=\"overview\"><h3 tabindex=\"-1\">Mulai</h3><p class=\"mdesc-full\">Ming Image 0.1 Design Layer memisahkan satu gambar desain yang telah diratakan menjadi lapisan gambar RGBA terpisah. Berikan tepat satu referensi dan prompt yang menjelaskan rencana lapisan yang diinginkan. Edisi ini mengembalikan lapisan gambar untuk komposisi lanjutan, mendukung PNG atau WebP, dan mempertahankan dimensi gambar masukan.</p><dl class=\"card-io\" data-card-io><div><dt>Masukan yang diterima</dt><dd>Teks · Gambar</dd></div><div><dt>Hasil</dt><dd>Gambar</dd></div></dl><details class=\"card-about\"><summary>Tentang model</summary><p class=\"note-s\" data-model-method-boundary>Deskripsi ini mencakup kemampuan model. Masukan, keluaran, dan opsi yang tersedia di Ailoot tercantum di bawah untuk metode yang dipilih.</p><div class=\"mabout\" id=\"m-about\"><p>Ming Image 0.1 Design Layer adalah model gambar ke gambar dari inclusionAI untuk memisahkan desain yang telah diratakan menjadi lapisan RGBA. Pilih ID persis inclusionai/ming-image-0.1-design-layer dengan metode Images pada POST /v1/images/generations. Perannya adalah menerima komposisi yang sudah ada dan rencana lapisan tertulis, lalu mengembalikan keluaran gambar terpisah untuk setiap lapisan.</p><p>Berikan tepat satu gambar referensi melalui input_references dan jelaskan apa yang perlu dipisahkan di prompt. Representasi referensi yang didokumentasikan menerima URL gambar HTTP(S) atau URL data base64. Rencana lapisan yang berguna dapat membedakan latar belakang, objek utama, dan dekorasi latar depan, dengan menjelaskan elemen terlihat yang perlu dikelompokkan. Gunakan desain aktual yang telah diratakan sebagai referensi agar pemisahan terikat pada komposisi yang ingin Anda edit.</p><p>Profil khusus model menetapkan input_references ke satu referensi dan n ke 1. Pengaturan permintaan tersebut menjelaskan satu pemisahan yang diminta; perilaku model yang didokumentasikan mengembalikan satu gambar per lapisan. Simpan setiap gambar dalam respons, alih-alih menganggap item data pertama sebagai keseluruhan hasil. Prompt perlu menyampaikan pengelompokan elemen yang diinginkan, sedangkan lapisan yang dikembalikan menyediakan kumpulan keluaran aktual untuk diperiksa.</p><p>Pilihan output_format yang didukung adalah png dan webp. Dimensi keluaran mengikuti gambar masukan. Nilai size dan aspect_ratio yang eksplisit ditolak untuk edisi ini, jadi siapkan gambar referensi dengan dimensi yang diperlukan untuk komposisi dan jangan tentukan kontrol tersebut. Pemilih persis ini mengidentifikasi edisi Design Layer, yang masukannya berupa desain yang sudah ada dan keluarannya terdiri dari lapisan gambar.</p><p>Pembuatan menggunakan respons gambar lengkap dan profil khusus model ini tidak mendukung streaming. Dekode setiap gambar b64_json yang dikembalikan atau ambil setiap URL gambar yang dikembalikan, dengan mempertahankan format keluaran aktual saat menyimpan berkas. Simpan lapisan bersama gambar sumber dan rencana lapisan. Dalam editor yang mendukung lapisan, periksa area transparan, pemisahan elemen yang berdekatan, dan komposisi keseluruhan yang dirangkai ulang sebelum membuat perubahan lokal.</p><p>Hasilnya berupa sekumpulan lapisan gambar raster. Hasil ini dapat mendukung penataan ulang, penggantian elemen visual satu per satu, atau pengomposisian lanjutan dalam editor, dengan sumber yang tetap tersimpan untuk perbandingan. Periksa tulisan dan tepi objek yang melintasi batas lapisan agar pemisahan yang dipilih tetap berguna bagi revisi yang diinginkan.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Tersedia di Ailoot · masukan &amp; metode</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · Images</b> <code>POST /v1/images/generations</code></summary><dl class=\"method-capabilities\"><div><dt>Masukan</dt><dd><code>text</code>, <code>image</code></dd></div><div><dt>Keluaran</dt><dd><code>image</code></dd></div><div><dt>Format keluaran</dt><dd>Berkas gambar</dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Kolom</th><th>Jenis</th><th>Persyaratan</th><th>Nilai &amp; batasan</th><th>Bawaan</th></tr></thead><tbody><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>string</code></td><td data-cell-label=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Wajib</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span><div>inclusionai/ming-image-0.1-design-layer</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">prompt</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>string</code></td><td data-cell-label=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Wajib</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">stream</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>boolean</code></td><td data-cell-label=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Opsional</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span><div>false</div></td><td data-cell-label=\"Bawaan\" data-default=\"known\"><span class=\"card-cell-label\">Bawaan</span>false</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">input_references</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>array</code></td><td data-cell-label=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Wajib</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">n</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>integer</code></td><td data-cell-label=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Opsional</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span><div>Minimum: 1</div><div>Maksimum: 1</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr><tr><th data-cell-label=\"Kolom\" scope=\"row\"><span class=\"card-cell-label\">Kolom</span><code class=\"card-field-name\">output_format</code></th><td data-cell-label=\"Jenis\" data-field-type><span class=\"card-cell-label\">Jenis</span><code>string</code></td><td data-cell-label=\"Persyaratan\"><span class=\"card-cell-label\">Persyaratan</span>Opsional</td><td data-cell-label=\"Nilai &amp; batasan\"><span class=\"card-cell-label\">Nilai &amp; batasan</span><div>png, webp</div></td><td data-cell-label=\"Bawaan\" data-default=\"unspecified\"><span class=\"card-cell-label\">Bawaan</span>—</td></tr></tbody></table></div><details class=\"note-s\" data-method-contract><summary>Parameter metode dan siklus hidup</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parameter</th><th>Kontrak</th></tr></thead><tbody><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>content_type</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>application/json</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>required</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>model, prompt, input_references</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>optional</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>stream, n, output_format</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>material_types</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>text, image</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>conditions</code></th><td data-cell-label=\"Kontrak\"><span class=\"card-cell-label\">Kontrak</span>Use stream:false or omit stream. The complete buffered JSON result contains all generated images.</td></tr></tbody></table></div><p>Siklus hidup: <code>synchronous_result_then_owned_library</code></p><p class=\"note-s\"><code>GET /v1/media/assets</code></p><p class=\"note-s\"><code>GET /v1/media/assets/{asset_id}</code></p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Paket</h3><div class=\"card-result-process\" data-billing-basis><h5>Cara menghitung biaya akhir</h5><p class=\"note-s\">Tarif yang ditampilkan memperkirakan biaya sebelum pembuatan. Biaya akhir dihitung dari biaya yang tercatat untuk proses pembuatan awal. Durasi keluaran yang terukur dan kuantitas perkiraan bukanlah kuantitas akhir yang ditagihkan.</p></div><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Referensi tarif tidak menambah opsi permintaan. Parameter yang didukung tercantum pada metode yang dipilih.</p><dl data-price-conditions><dt>Mode Fast</dt><dd>Tidak ditentukan <span class=\"note-s\">Saat mode fast dipilih</span></dd><dt>Mode Flex</dt><dd>Tidak ditentukan <span class=\"note-s\">Saat mode flex dipilih</span></dd><dt>Upaya penalaran maksimum</dt><dd>Tidak ditentukan <span class=\"note-s\">Saat upaya penalaran maksimum menggunakan penyesuaian default</span></dd></dl></div><div data-declared-tariff-pricing><h4>Perkiraan tarif untuk perbandingan</h4><h4>Harga menurut konfigurasi</h4><p class=\"note-s\">Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Konfigurasi</th><th>Jadwal tarif</th><th>Jumlah perkiraan</th><th>Biaya</th></tr></thead><tbody><tr><th data-cell-label=\"Konfigurasi\" scope=\"row\"><span class=\"card-cell-label\">Konfigurasi</span>Tarif dasar token</th><td data-cell-label=\"Jadwal tarif\"><span class=\"card-cell-label\">Jadwal tarif</span>Tarif dasar</td><td data-cell-label=\"Jumlah perkiraan\"><span class=\"card-cell-label\">Jumlah perkiraan</span>—</td><td data-cell-label=\"Biaya\"><span class=\"card-cell-label\">Biaya</span><div><span>Masukan · Token masukan · Perkiraan hanya untuk perbandingan</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Keluaran · Token keluaran · Perkiraan hanya untuk perbandingan</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Masukan · Pembacaan cache · Perkiraan hanya untuk perbandingan</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Masukan · Penulisan cache · Perkiraan hanya untuk perbandingan</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Masukan · Penulisan cache, 1 jam · Perkiraan hanya untuk perbandingan</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div></td></tr><tr><th data-cell-label=\"Konfigurasi\" scope=\"row\"><span class=\"card-cell-label\">Konfigurasi</span>Estimated generation cost</th><td data-cell-label=\"Jadwal tarif\"><span class=\"card-cell-label\">Jadwal tarif</span>—</td><td data-cell-label=\"Jumlah perkiraan\"><span class=\"card-cell-label\">Jumlah perkiraan</span>estimasi satu kali pembuatan</td><td data-cell-label=\"Biaya\"><span class=\"card-cell-label\">Biaya</span><div><span>Masukan · Perkiraan biaya pembuatan · Perkiraan hanya untuk perbandingan</span> <b>$0.98304</b> <span class=\"price-unit\">estimasi sebelum pembuatan</span></div><p class=\"note-s\">This estimate is not an additional charge or a fixed rate for the completed generation.</p></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. <a href=\"/docs/id/billing/reserve/\">Cara kerja cadangan dan penyelesaian tagihan →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">Contoh permintaan</h3><h4>Ailoot Ultra · Images</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Pilihan kode\"><button class=\"cg-tab\" id=\"model-code-14-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-14-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · buat sekali dan simpan hasil secara lengkap</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Salin kode\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-14-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-14-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\nexport AILOOT_API_KEY\n: &quot;${AILOOT_IMAGE_URL:?Set an actual customer material or documented value}&quot;\nexport AILOOT_IMAGE_URL\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np=json.loads(&#39;{&quot;model&quot;: &quot;inclusionai/ming-image-0.1-design-layer&quot;, &quot;prompt&quot;: &quot;A calm studio product photograph with a plain background.&quot;, &quot;input_references&quot;: [{&quot;type&quot;: &quot;image_url&quot;, &quot;image_url&quot;: {&quot;url&quot;: &quot;YOUR_ACCESSIBLE_IMAGE_URL&quot;}}]}&#39;)\np[&#39;input_references&#39;][0][&#39;image_url&#39;][&#39;url&#39;]=os.environ[&#39;AILOOT_IMAGE_URL&#39;]\nPath(&quot;request.json&quot;).write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">Terima dan simpan hasil</h3><h4>Ailoot Ultra · Images</h4><p class=\"note-s\">Unduh setiap gambar yang dikembalikan atau simpan konten Base64-nya</p><ul class=\"card-result-paths\"><li><code>GET /v1/media/assets</code></li><li><code>GET /v1/media/assets/{asset_id}</code></li></ul><div class=\"card-result-process\" data-all-results><h5>Simpan semua hasil yang selesai</h5><p class=\"note-s\">Simpan setiap gambar yang selesai; ambil setiap URL yang dikembalikan atau dekode konten Base64-nya.</p><p class=\"note-s\">Retain every returned image and field. Use owned content_url values and actual asset_id records; refresh the same asset when a link expires.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Jika respons asli perlu diperiksa</h5><p class=\"note-s\">Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.</p></div></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">Alias</h3><h4>Alias model</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=inclusionai%2Fming-image-0.1-design-layer&amp;route=Ultra&amp;caller=inclusionai%2Fming-image-0.1-design-layer&amp;fmt=images\"><code>inclusionai/ming-image-0.1-design-layer</code></a></span></p><h4>Alias jalur metode</h4><p class=\"note-s\">Gunakan jalur metode yang ditampilkan di atas.</p><h4>ID pemanggil terkait</h4><p class=\"note-s\"><a href=\"#m=inclusionai%2Fming-image-0.1-design-layer&amp;route=Ultra&amp;caller=inclusionai%2Fming-image-0.1-design-layer&amp;fmt=images\"><code>inclusionai/ming-image-0.1-design-layer</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "inclusionai/ming-image-0.1-design-layer",
        "fmt": "images",
        "http": "POST",
        "path": "/v1/images/generations",
        "request_model_id": "inclusionai/ming-image-0.1-design-layer",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|images|/v1/images/generations|inclusionai%2Fming-image-0.1-design-layer",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "billing_basis": {
          "basis": "original_invoice_usd",
          "description": "The displayed rates estimate the cost before generation. The final charge is calculated from the cost recorded for the original generation. Measured output duration and forecast quantities are not the final billable quantity.",
          "forecast_quantity_is_estimate": true,
          "physical_output_is_billable_quantity": false,
          "version": "original_invoice_usd_v1"
        },
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "example_body": {
              "input_references": [
                {
                  "image_url": {
                    "url": "YOUR_ACCESSIBLE_IMAGE_URL"
                  },
                  "type": "image_url"
                }
              ],
              "model": "inclusionai/ming-image-0.1-design-layer",
              "prompt": "A calm studio product photograph with a plain background."
            },
            "lifecycle": {
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets",
                  "query": {
                    "cursor": "actual returned next_cursor, when present",
                    "family": "image"
                  }
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/images/generations"
              },
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "owned_content": {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "Use the exact returned content_url. Refresh an expired link by reading the same existing asset."
              },
              "status": [],
              "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "Retain every returned image and field. Use owned content_url values and actual asset_id records; refresh the same asset when a link expires.",
              "family": "image",
              "format": "JSON with all URL or base64 outputs"
            },
            "parameters": [
              {
                "default_known": false,
                "enum": [
                  "inclusionai/ming-image-0.1-design-layer"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "prompt",
                "required": true,
                "type": "string"
              },
              {
                "default": false,
                "default_known": true,
                "enum": [
                  false
                ],
                "enum_known": true,
                "name": "stream",
                "required": false,
                "type": "boolean"
              },
              {
                "default_known": false,
                "enum_known": false,
                "items": {
                  "properties": {
                    "image_url": {
                      "properties": {
                        "url": {
                          "type": "string"
                        }
                      },
                      "required": [
                        "url"
                      ],
                      "type": "object"
                    },
                    "type": {
                      "const": "image_url"
                    }
                  },
                  "required": [
                    "type",
                    "image_url"
                  ],
                  "type": "object"
                },
                "maxItems": 1,
                "minItems": 1,
                "name": "input_references",
                "required": true,
                "type": "array"
              },
              {
                "default_known": false,
                "enum_known": false,
                "maximum": 1,
                "minimum": 1,
                "name": "n",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum": [
                  "png",
                  "webp"
                ],
                "enum_known": true,
                "name": "output_format",
                "required": false,
                "type": "string"
              }
            ],
            "request_schema": {
              "additionalProperties": true,
              "properties": {
                "input_references": {
                  "items": {
                    "properties": {
                      "image_url": {
                        "properties": {
                          "url": {
                            "type": "string"
                          }
                        },
                        "required": [
                          "url"
                        ],
                        "type": "object"
                      },
                      "type": {
                        "const": "image_url"
                      }
                    },
                    "required": [
                      "type",
                      "image_url"
                    ],
                    "type": "object"
                  },
                  "maxItems": 1,
                  "minItems": 1,
                  "type": "array"
                },
                "model": {
                  "enum": [
                    "inclusionai/ming-image-0.1-design-layer"
                  ],
                  "type": "string"
                },
                "n": {
                  "maximum": 1,
                  "minimum": 1,
                  "type": "integer"
                },
                "output_format": {
                  "enum": [
                    "png",
                    "webp"
                  ],
                  "type": "string"
                },
                "prompt": {
                  "type": "string"
                },
                "stream": {
                  "default": false,
                  "enum": [
                    false
                  ],
                  "type": "boolean"
                }
              },
              "required": [
                "model",
                "prompt",
                "input_references"
              ],
              "type": "object"
            },
            "schema_template": {
              "body": {
                "input_references": [
                  {
                    "image_url": {
                      "url": "YOUR_ACCESSIBLE_IMAGE_URL"
                    },
                    "type": "image_url"
                  }
                ],
                "model": "inclusionai/ming-image-0.1-design-layer",
                "prompt": "A calm studio product photograph with a plain background."
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "Use stream:false or omit stream. The complete buffered JSON result contains all generated images."
            ],
            "content_type": "application/json",
            "material_types": [
              "text",
              "image"
            ],
            "optional": [
              "stream",
              "n",
              "output_format"
            ],
            "required": [
              "model",
              "prompt",
              "input_references"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets",
                "query": {
                  "cursor": "actual returned next_cursor, when present",
                  "family": "image"
                }
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "cancel_endpoint": null,
            "create": {
              "http": "POST",
              "path": "/v1/images/generations"
            },
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "owned_content": {
              "http": "GET",
              "path": "/v1/media/assets/{asset_id}/content",
              "url_source": "Use the exact returned content_url. Refresh an expired link by reading the same existing asset."
            },
            "status": [],
            "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/images/generations"
          },
          "method_aliases": [],
          "output": {
            "all_results": "Retain every returned image and field. Use owned content_url values and actual asset_id records; refresh the same asset when a link expires.",
            "family": "image",
            "format": "JSON with all URL or base64 outputs"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "basis": "This estimate is not an additional charge or a fixed rate for the completed generation.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Estimated generation cost",
            "units": [
              {
                "amount": "0.98304",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.98304",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\n: \"${AILOOT_IMAGE_URL:?Set an actual customer material or documented value}\"\nexport AILOOT_IMAGE_URL\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"inclusionai/ming-image-0.1-design-layer\", \"prompt\": \"A calm studio product photograph with a plain background.\", \"input_references\": [{\"type\": \"image_url\", \"image_url\": {\"url\": \"YOUR_ACCESSIBLE_IMAGE_URL\"}}]}')\np['input_references'][0]['image_url']['url']=os.environ['AILOOT_IMAGE_URL']\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "images",
        "http": "POST",
        "img_in": null,
        "img_out": null,
        "in": null,
        "input": [
          "text",
          "image"
        ],
        "label": "Images",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "out": null,
        "output": [
          "image"
        ],
        "path": "/v1/images/generations",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "original_invoice_usd",
          "cache_read_price": null,
          "cache_write_1h_price": null,
          "cache_write_price": null,
          "fast_multiplier": null,
          "flex_multiplier": null,
          "image_input_price": null,
          "image_output_price": null,
          "input_price": null,
          "intervals": null,
          "max_reasoning_effort_multiplier": null,
          "output_price": null,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "basis": "This estimate is not an additional charge or a fixed rate for the completed generation.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Estimated generation cost",
            "units": [
              {
                "amount": "0.98304",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.98304",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "request_model_id": "inclusionai/ming-image-0.1-design-layer",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "unit": "image",
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.98304",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "forecast_usd",
            "label": "Estimated generation cost",
            "native_amount_usd_per_unit": "0.98304",
            "native_quantity": 1,
            "public_unit_label": "estimate before generation",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "request_estimate"
          }
        ]
      }
    }
  ],
  "model_id": "inclusionai/ming-image-0.1-design-layer",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "cb03d311ece731e980333307f8fce721553cc7506fbb9dd244c0b1f7c7e2a4f3",
    "input_html_sha256": "6ae2779a5f8da2861b1f88e40ba72df7c81bfbc47fe1e795c512185112b4f0aa",
    "private_audit_sha256": "4ff450a6f65e733a94ddaa602bae3a9bf843ff3c016d220d38501160e9c2e9d6",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/id/inclusionai-ming-image-0-1-design-layer/",
    "description": "Ming Image 0.1 Design Layer memisahkan satu gambar desain yang telah diratakan menjadi lapisan gambar RGBA terpisah. Berikan tepat satu referensi dan prompt yang menjelaskan rencana lapisan yang diinginkan. Edisi ini mengembalikan lapisan gambar untuk komposisi lanjutan, mendukung PNG atau WebP, dan mempertahankan dimensi gambar masukan.",
    "locale": "id",
    "md_url": "https://ailoot.ai/models/id/inclusionai-ming-image-0-1-design-layer/index.md",
    "title": "inclusionAI: Ming Image 0.1 Design Layer — Ailoot",
    "url": "https://ailoot.ai/models/id/inclusionai-ming-image-0-1-design-layer/"
  },
  "rawModel": {
    "about": "Ming Image 0.1 Design Layer adalah model gambar ke gambar dari inclusionAI untuk memisahkan desain yang telah diratakan menjadi lapisan RGBA. Pilih ID persis inclusionai/ming-image-0.1-design-layer dengan metode Images pada POST /v1/images/generations. Perannya adalah menerima komposisi yang sudah ada dan rencana lapisan tertulis, lalu mengembalikan keluaran gambar terpisah untuk setiap lapisan.\n\nBerikan tepat satu gambar referensi melalui input_references dan jelaskan apa yang perlu dipisahkan di prompt. Representasi referensi yang didokumentasikan menerima URL gambar HTTP(S) atau URL data base64. Rencana lapisan yang berguna dapat membedakan latar belakang, objek utama, dan dekorasi latar depan, dengan menjelaskan elemen terlihat yang perlu dikelompokkan. Gunakan desain aktual yang telah diratakan sebagai referensi agar pemisahan terikat pada komposisi yang ingin Anda edit.\n\nProfil khusus model menetapkan input_references ke satu referensi dan n ke 1. Pengaturan permintaan tersebut menjelaskan satu pemisahan yang diminta; perilaku model yang didokumentasikan mengembalikan satu gambar per lapisan. Simpan setiap gambar dalam respons, alih-alih menganggap item data pertama sebagai keseluruhan hasil. Prompt perlu menyampaikan pengelompokan elemen yang diinginkan, sedangkan lapisan yang dikembalikan menyediakan kumpulan keluaran aktual untuk diperiksa.\n\nPilihan output_format yang didukung adalah png dan webp. Dimensi keluaran mengikuti gambar masukan. Nilai size dan aspect_ratio yang eksplisit ditolak untuk edisi ini, jadi siapkan gambar referensi dengan dimensi yang diperlukan untuk komposisi dan jangan tentukan kontrol tersebut. Pemilih persis ini mengidentifikasi edisi Design Layer, yang masukannya berupa desain yang sudah ada dan keluarannya terdiri dari lapisan gambar.\n\nPembuatan menggunakan respons gambar lengkap dan profil khusus model ini tidak mendukung streaming. Dekode setiap gambar b64_json yang dikembalikan atau ambil setiap URL gambar yang dikembalikan, dengan mempertahankan format keluaran aktual saat menyimpan berkas. Simpan lapisan bersama gambar sumber dan rencana lapisan. Dalam editor yang mendukung lapisan, periksa area transparan, pemisahan elemen yang berdekatan, dan komposisi keseluruhan yang dirangkai ulang sebelum membuat perubahan lokal.\n\nHasilnya berupa sekumpulan lapisan gambar raster. Hasil ini dapat mendukung penataan ulang, penggantian elemen visual satu per satu, atau pengomposisian lanjutan dalam editor, dengan sumber yang tetap tersimpan untuk perbandingan. Periksa tulisan dan tepi objek yang melintasi batas lapisan agar pemisahan yang dipilih tetap berguna bagi revisi yang diinginkan.",
    "alias_of": null,
    "aliases": [],
    "author": "inclusionAI",
    "ctx": null,
    "formats": [
      "images"
    ],
    "id": "inclusionai/ming-image-0.1-design-layer",
    "input": [
      "image",
      "text"
    ],
    "kind": "image",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "billing_basis": {
          "basis": "original_invoice_usd",
          "description": "The displayed rates estimate the cost before generation. The final charge is calculated from the cost recorded for the original generation. Measured output duration and forecast quantities are not the final billable quantity.",
          "forecast_quantity_is_estimate": true,
          "physical_output_is_billable_quantity": false,
          "version": "original_invoice_usd_v1"
        },
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "example_body": {
              "input_references": [
                {
                  "image_url": {
                    "url": "YOUR_ACCESSIBLE_IMAGE_URL"
                  },
                  "type": "image_url"
                }
              ],
              "model": "inclusionai/ming-image-0.1-design-layer",
              "prompt": "A calm studio product photograph with a plain background."
            },
            "lifecycle": {
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets",
                  "query": {
                    "cursor": "actual returned next_cursor, when present",
                    "family": "image"
                  }
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/images/generations"
              },
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "owned_content": {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "Use the exact returned content_url. Refresh an expired link by reading the same existing asset."
              },
              "status": [],
              "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "Retain every returned image and field. Use owned content_url values and actual asset_id records; refresh the same asset when a link expires.",
              "family": "image",
              "format": "JSON with all URL or base64 outputs"
            },
            "parameters": [
              {
                "default_known": false,
                "enum": [
                  "inclusionai/ming-image-0.1-design-layer"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "prompt",
                "required": true,
                "type": "string"
              },
              {
                "default": false,
                "default_known": true,
                "enum": [
                  false
                ],
                "enum_known": true,
                "name": "stream",
                "required": false,
                "type": "boolean"
              },
              {
                "default_known": false,
                "enum_known": false,
                "items": {
                  "properties": {
                    "image_url": {
                      "properties": {
                        "url": {
                          "type": "string"
                        }
                      },
                      "required": [
                        "url"
                      ],
                      "type": "object"
                    },
                    "type": {
                      "const": "image_url"
                    }
                  },
                  "required": [
                    "type",
                    "image_url"
                  ],
                  "type": "object"
                },
                "maxItems": 1,
                "minItems": 1,
                "name": "input_references",
                "required": true,
                "type": "array"
              },
              {
                "default_known": false,
                "enum_known": false,
                "maximum": 1,
                "minimum": 1,
                "name": "n",
                "required": false,
                "type": "integer"
              },
              {
                "default_known": false,
                "enum": [
                  "png",
                  "webp"
                ],
                "enum_known": true,
                "name": "output_format",
                "required": false,
                "type": "string"
              }
            ],
            "request_schema": {
              "additionalProperties": true,
              "properties": {
                "input_references": {
                  "items": {
                    "properties": {
                      "image_url": {
                        "properties": {
                          "url": {
                            "type": "string"
                          }
                        },
                        "required": [
                          "url"
                        ],
                        "type": "object"
                      },
                      "type": {
                        "const": "image_url"
                      }
                    },
                    "required": [
                      "type",
                      "image_url"
                    ],
                    "type": "object"
                  },
                  "maxItems": 1,
                  "minItems": 1,
                  "type": "array"
                },
                "model": {
                  "enum": [
                    "inclusionai/ming-image-0.1-design-layer"
                  ],
                  "type": "string"
                },
                "n": {
                  "maximum": 1,
                  "minimum": 1,
                  "type": "integer"
                },
                "output_format": {
                  "enum": [
                    "png",
                    "webp"
                  ],
                  "type": "string"
                },
                "prompt": {
                  "type": "string"
                },
                "stream": {
                  "default": false,
                  "enum": [
                    false
                  ],
                  "type": "boolean"
                }
              },
              "required": [
                "model",
                "prompt",
                "input_references"
              ],
              "type": "object"
            },
            "schema_template": {
              "body": {
                "input_references": [
                  {
                    "image_url": {
                      "url": "YOUR_ACCESSIBLE_IMAGE_URL"
                    },
                    "type": "image_url"
                  }
                ],
                "model": "inclusionai/ming-image-0.1-design-layer",
                "prompt": "A calm studio product photograph with a plain background."
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "Use stream:false or omit stream. The complete buffered JSON result contains all generated images."
            ],
            "content_type": "application/json",
            "material_types": [
              "text",
              "image"
            ],
            "optional": [
              "stream",
              "n",
              "output_format"
            ],
            "required": [
              "model",
              "prompt",
              "input_references"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets",
                "query": {
                  "cursor": "actual returned next_cursor, when present",
                  "family": "image"
                }
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "cancel_endpoint": null,
            "create": {
              "http": "POST",
              "path": "/v1/images/generations"
            },
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "owned_content": {
              "http": "GET",
              "path": "/v1/media/assets/{asset_id}/content",
              "url_source": "Use the exact returned content_url. Refresh an expired link by reading the same existing asset."
            },
            "status": [],
            "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/images/generations"
          },
          "method_aliases": [],
          "output": {
            "all_results": "Retain every returned image and field. Use owned content_url values and actual asset_id records; refresh the same asset when a link expires.",
            "family": "image",
            "format": "JSON with all URL or base64 outputs"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "basis": "This estimate is not an additional charge or a fixed rate for the completed generation.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Estimated generation cost",
            "units": [
              {
                "amount": "0.98304",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.98304",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\n: \"${AILOOT_IMAGE_URL:?Set an actual customer material or documented value}\"\nexport AILOOT_IMAGE_URL\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"inclusionai/ming-image-0.1-design-layer\", \"prompt\": \"A calm studio product photograph with a plain background.\", \"input_references\": [{\"type\": \"image_url\", \"image_url\": {\"url\": \"YOUR_ACCESSIBLE_IMAGE_URL\"}}]}')\np['input_references'][0]['image_url']['url']=os.environ['AILOOT_IMAGE_URL']\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "images",
        "http": "POST",
        "img_in": null,
        "img_out": null,
        "in": null,
        "input": [
          "text",
          "image"
        ],
        "label": "Images",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "out": null,
        "output": [
          "image"
        ],
        "path": "/v1/images/generations",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "original_invoice_usd",
          "cache_read_price": null,
          "cache_write_1h_price": null,
          "cache_write_price": null,
          "fast_multiplier": null,
          "flex_multiplier": null,
          "image_input_price": null,
          "image_output_price": null,
          "input_price": null,
          "intervals": null,
          "max_reasoning_effort_multiplier": null,
          "output_price": null,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
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                "native_unit": "generic_cache_creation_token",
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                "estimate_only": true,
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                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
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                "unit": "one_hour_cache_creation_token"
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            ]
          },
          {
            "basis": "This estimate is not an additional charge or a fixed rate for the completed generation.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
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            "label": "Estimated generation cost",
            "units": [
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                "label": "Estimated generation cost",
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            ]
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        ],
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        "tiers": [],
        "unit": "image",
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            "amount_unit": "usd_per_thousand_tokens",
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          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
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            "label": "Cache write",
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            "amount_unit": "usd_per_thousand_tokens",
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    ],
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      "in_label": null,
      "out": null,
      "out_label": null,
      "sort_in": null,
      "sort_out": null,
      "varies": true
    },
    "short": "Ming Image 0.1 Design Layer memisahkan satu gambar desain yang telah diratakan menjadi lapisan gambar RGBA terpisah. Berikan tepat satu referensi dan prompt yang menjelaskan rencana lapisan yang diinginkan. Edisi ini mengembalikan lapisan gambar untuk komposisi lanjutan, mendukung PNG atau WebP, dan mempertahankan dimensi gambar masukan."
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  "renderer_schema": {
    "method_order": "Original DTO methods order; every exact route/format/path/caller survives.",
    "prices": "Original public DTO fields and original native display HTML; no flattened or normalized offers."
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  "representationNotes": {
    "current_reference": {
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      "methods": [
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          "contract_json_pointer": "/methods/0/rawMethod/contract",
          "html_json_pointer": "/methods/0/html",
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        }
      ],
      "role": "current-semantic-reference"
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    "raw_input": {
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      "json_pointers": [
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        "/methods/0/rawMethod"
      ],
      "role": "historical-owner-input"
    },
    "schema": "ailoot-native-model-representations-v1"
  },
  "schema": "ailoot-static-model-facts-v1",
  "schema_version": 1,
  "shortText": "Ming Image 0.1 Design Layer memisahkan satu gambar desain yang telah diratakan menjadi lapisan gambar RGBA terpisah. Berikan tepat satu referensi dan prompt yang menjelaskan rencana lapisan yang diinginkan. Edisi ini mengembalikan lapisan gambar untuk komposisi lanjutan, mendukung PNG atau WebP, dan mempertahankan dimensi gambar masukan.",
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    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
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}