Riverflow 2.5 Pro is the Pro profile of Sourceful’s Riverflow 2.5 image generation and editing family, aimed at creative work where control and final image quality matter. A text brief can create a visual, while reference images supply the product, artwork or scene to edit. The family’s distinguishing approach plans several editing steps, reviews candidates and corrects them toward the requested result rather than treating the first image as the complete workflow.
For a campaign image, prepare the product references and brand direction before describing the scene. Specify the product features that distinguish one SKU from another, the arrangement, lighting and space needed for copy. A useful brief can place three labelled products into one coherent composition while keeping their colours, sizes and visible identity distinct. For a single-product lifestyle scene, identify which reference provides the object and which supplies the mood or setting, then state what should be preserved during the transformation.
Riverflow 2.5 adds a custom scoring rubric to its reasoning and review process. Describe the criteria that matter to the artifact: product identity, label readability, composition, scene plausibility or the amount of space for a headline. After editing steps, the reasoning model can assess candidates against that rubric and decide how to continue. A packaging-oriented result and an expressive campaign visual need different review priorities, so keep the generation instruction separate from the criteria used to judge it.
Thinking effort controls how much iterative work and how strict a review the family applies before accepting an image. The 2.5 producer workflow ranges from low to xhigh: lower effort supports early exploration, while more effort is useful when the brief needs additional refinement. More internal review does not remove the need to inspect the finished asset. For a demanding product layout, make the important details and acceptance criteria explicit so extra editing work has a clear goal.
Font Control accepts up to two custom font files and uses the supplied lettering, spacing and weight as guidance. Provide the exact words to render, the role of each text block and the corresponding font reference. A headline and a short supporting caption can use different fonts without leaving the typographic hierarchy implicit. Inspect the actual letters and numbers in the output, particularly where a package label or product name identifies the item, rather than treating a font reference as proof that every glyph is correct.
The 2.5 family provides normal, solid-colour and transparent background output modes, including transparent PNG for compositing, with export options at 1K, 2K and up to 4K. Select the artifact for its placement: a cutout for assembly into another design, a controlled solid background for consistent product sets or a completed scene for a campaign. Prepare the output shape and text placement together so increasing delivery detail does not solve a composition that puts the main subject in the wrong place.
Pro remains distinct from the Fast profile and from the earlier Riverflow 2.0 generation. The 2.5 family builds on 2.0’s multi-step foundation with deeper review control, custom judging and expanded background and export choices. A useful final review compares the image with the product references, rubric and typography, then changes the specific instruction or criterion responsible for a mismatch. Keep the selected image with its brief and references so the next edit can refine the same creative direction rather than losing its established identity.
", "aboutText": "Riverflow 2.5 Pro is the Pro profile of Sourceful’s Riverflow 2.5 image generation and editing family, aimed at creative work where control and final image quality matter. A text brief can create a visual, while reference images supply the product, artwork or scene to edit. The family’s distinguishing approach plans several editing steps, reviews candidates and corrects them toward the requested result rather than treating the first image as the complete workflow.\n\nFor a campaign image, prepare the product references and brand direction before describing the scene. Specify the product features that distinguish one SKU from another, the arrangement, lighting and space needed for copy. A useful brief can place three labelled products into one coherent composition while keeping their colours, sizes and visible identity distinct. For a single-product lifestyle scene, identify which reference provides the object and which supplies the mood or setting, then state what should be preserved during the transformation.\n\nRiverflow 2.5 adds a custom scoring rubric to its reasoning and review process. Describe the criteria that matter to the artifact: product identity, label readability, composition, scene plausibility or the amount of space for a headline. After editing steps, the reasoning model can assess candidates against that rubric and decide how to continue. A packaging-oriented result and an expressive campaign visual need different review priorities, so keep the generation instruction separate from the criteria used to judge it.\n\nThinking effort controls how much iterative work and how strict a review the family applies before accepting an image. The 2.5 producer workflow ranges from low to xhigh: lower effort supports early exploration, while more effort is useful when the brief needs additional refinement. More internal review does not remove the need to inspect the finished asset. For a demanding product layout, make the important details and acceptance criteria explicit so extra editing work has a clear goal.\n\nFont Control accepts up to two custom font files and uses the supplied lettering, spacing and weight as guidance. Provide the exact words to render, the role of each text block and the corresponding font reference. A headline and a short supporting caption can use different fonts without leaving the typographic hierarchy implicit. Inspect the actual letters and numbers in the output, particularly where a package label or product name identifies the item, rather than treating a font reference as proof that every glyph is correct.\n\nThe 2.5 family provides normal, solid-colour and transparent background output modes, including transparent PNG for compositing, with export options at 1K, 2K and up to 4K. Select the artifact for its placement: a cutout for assembly into another design, a controlled solid background for consistent product sets or a completed scene for a campaign. Prepare the output shape and text placement together so increasing delivery detail does not solve a composition that puts the main subject in the wrong place.\n\nPro remains distinct from the Fast profile and from the earlier Riverflow 2.0 generation. The 2.5 family builds on 2.0’s multi-step foundation with deeper review control, custom judging and expanded background and export choices. A useful final review compares the image with the product references, rubric and typography, then changes the specific instruction or criterion responsible for a mismatch. Keep the selected image with its brief and references so the next edit can refine the same creative direction rather than losing its established identity.", "editorialOverlay": { "copy_fields": null, "copy_sha256": null, "copy_source": null, "html_sha256": "1b1a4cc5e1b761b01818562733ad328e66b58685e82e83b01d42156c758619d2", "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06", "raw_model_unchanged": true, "schema": "ailoot-native-model-editorial-v1" }, "locale": "en", "methods": [ { "html": "sourceful/riverflow-v2.5-proRiverflow 2.5 Pro is Sourceful’s quality-focused image generation and editing profile for product and campaign creative. Its family combines multi-step editing, custom judging and font control, helping a detailed brief preserve brand identity and the intended layout.
This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below.
Riverflow 2.5 Pro is the Pro profile of Sourceful’s Riverflow 2.5 image generation and editing family, aimed at creative work where control and final image quality matter. A text brief can create a visual, while reference images supply the product, artwork or scene to edit. The family’s distinguishing approach plans several editing steps, reviews candidates and corrects them toward the requested result rather than treating the first image as the complete workflow.
For a campaign image, prepare the product references and brand direction before describing the scene. Specify the product features that distinguish one SKU from another, the arrangement, lighting and space needed for copy. A useful brief can place three labelled products into one coherent composition while keeping their colours, sizes and visible identity distinct. For a single-product lifestyle scene, identify which reference provides the object and which supplies the mood or setting, then state what should be preserved during the transformation.
Riverflow 2.5 adds a custom scoring rubric to its reasoning and review process. Describe the criteria that matter to the artifact: product identity, label readability, composition, scene plausibility or the amount of space for a headline. After editing steps, the reasoning model can assess candidates against that rubric and decide how to continue. A packaging-oriented result and an expressive campaign visual need different review priorities, so keep the generation instruction separate from the criteria used to judge it.
Thinking effort controls how much iterative work and how strict a review the family applies before accepting an image. The 2.5 producer workflow ranges from low to xhigh: lower effort supports early exploration, while more effort is useful when the brief needs additional refinement. More internal review does not remove the need to inspect the finished asset. For a demanding product layout, make the important details and acceptance criteria explicit so extra editing work has a clear goal.
Font Control accepts up to two custom font files and uses the supplied lettering, spacing and weight as guidance. Provide the exact words to render, the role of each text block and the corresponding font reference. A headline and a short supporting caption can use different fonts without leaving the typographic hierarchy implicit. Inspect the actual letters and numbers in the output, particularly where a package label or product name identifies the item, rather than treating a font reference as proof that every glyph is correct.
The 2.5 family provides normal, solid-colour and transparent background output modes, including transparent PNG for compositing, with export options at 1K, 2K and up to 4K. Select the artifact for its placement: a cutout for assembly into another design, a controlled solid background for consistent product sets or a completed scene for a campaign. Prepare the output shape and text placement together so increasing delivery detail does not solve a composition that puts the main subject in the wrong place.
Pro remains distinct from the Fast profile and from the earlier Riverflow 2.0 generation. The 2.5 family builds on 2.0’s multi-step foundation with deeper review control, custom judging and expanded background and export choices. A useful final review compares the image with the product references, rubric and typography, then changes the specific instruction or criterion responsible for a mismatch. Keep the selected image with its brief and references so the next edit can refine the same creative direction rather than losing its established identity.
POST /v1/images/generationstext, imageimage| Field | Type | Requirement | Values & limits | Default |
|---|---|---|---|---|
Fieldmodel | Typestring | RequirementRequired | Values & limits sourceful/riverflow-v2.5-pro | Default— |
Fieldprompt | Typestring | RequirementRequired | Values & limits Minimum length: 1 | Default— |
Fieldresolution | Typestring | RequirementOptional | Values & limits 1K, 2K, 4K | Default— |
Fieldaspect_ratio | Typestring | RequirementOptional | Values & limits 1:1, 4:3, 3:4, 3:2, 2:3, 16:9, 9:16, 21:9, auto | Default— |
Fieldoutput_format | Typestring | RequirementOptional | Values & limits png, jpeg, webp | Default— |
Fieldbackground | Typestring | RequirementOptional | Values & limits auto, transparent, opaque | Default— |
Fieldn | Typeinteger | RequirementOptional | Values & limits Minimum: 1 Maximum: 1 | Default— |
Fieldinput_references | Typearray | RequirementOptional | Values & limits Minimum items: 0 Maximum items: 10 | Default— |
Fieldprovider | Typeobject | RequirementOptional | Values & limits | Default— |
| Parameter | Contract |
|---|---|
Parametercontent_type | Contractapplication/json |
Parameterrequired | Contractmodel, prompt |
Parametermaterial_types | Contracttext, image |
Lifecycle: synchronous_result_then_owned_library
GET /v1/media/tasks/{task_id} · actual returned task_id or media library record
GET /v1/media/assets/{asset_id}/content
GET /v1/media/assets
GET /v1/media/assets/{asset_id}
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.
Tariff references do not add request options. Supported parameters are listed for the selected method.
Match each charge to the conditions shown. Use one rate for each set of alternative configurations.
| Configuration | Rate schedule | Forecast quantity | Billing unit | Charge |
|---|---|---|---|---|
| ConfigurationBase token rates | Rate scheduleBase rate | Forecast quantity— | Billing unit— | Charge Input · Input tokens · Estimate for comparison only — / 1K tokens Output · Output tokens · Estimate for comparison only — / 1K tokens Input · Cache read · Estimate for comparison only — / 1K tokens Input · Cache write · Estimate for comparison only — / 1K tokens Input · Cache write, 1 hour · Estimate for comparison only — / 1K tokens |
| Configurationoutput image | Rate schedule— | Forecast quantity— | Billing unitper output image | Charge Output · output image · Estimate for comparison only $0.26 per output image |
| ConfigurationEstimated generation cost | Rate schedule— | Forecast quantityone generation estimate | Billing unit— | Charge Output · Estimated generation cost · Estimate for comparison only $0.26 estimate before generation This estimate is not an additional charge or a fixed rate for the completed generation. |
Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. How reservation and settlement work →
set -eu\n: "${AILOOT_API_KEY:?Set your Ailoot API key}"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np={'model': 'sourceful/riverflow-v2.5-pro', 'prompt': 'a red panda astronaut floating in space, studio lighting'}\n\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\npython3 - <<'PY_RESULT'\nimport base64, json, os, subprocess\nfrom pathlib import Path\nfrom urllib.parse import urlsplit, urljoin\n\ndef save_images(items):\n if not items: raise SystemExit("No completed images; retain the full response")\n for index, item in enumerate(items):\n encoded=item.get("b64_json")\n uri=item.get("url", "")\n if not encoded and uri.startswith("data:image/"):\n header, separator, encoded=uri.partition(",")\n if not separator or ";base64" not in header: raise SystemExit("Unsupported image data URI")\n if encoded:\n raw=base64.b64decode(encoded,validate=True)\n elif uri:\n uri=urljoin("https://api.ailoot.ai",uri)\n parsed=urlsplit(uri)\n if parsed.scheme!="https" or not parsed.netloc or parsed.username or parsed.password:\n raise SystemExit("Invalid returned image URL")\n owned=parsed.netloc=="api.ailoot.ai" and parsed.path.startswith("/v1/media/assets/") and parsed.path.endswith("/content")\n args=["curl","--fail-with-body","--silent","--show-error",uri]\n if owned: args += ["-H","Authorization: Bearer "+os.environ["AILOOT_API_KEY"]]\n temporary=Path(f"image-{index}.bin")\n subprocess.run(args+["-o",str(temporary)],check=True)\n raw=temporary.read_bytes()\n temporary.unlink()\n else: raise SystemExit("Image has neither bytes nor URL")\n if not raw: raise SystemExit("Empty image result")\n ext="png" if raw.startswith(b"\\x89PNG") else "jpg" if raw.startswith(b"\\xff\\xd8") else "webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else "svg" if raw.lstrip().startswith((b"<svg",b"<?xml")) else "bin"\n Path(f"image-{index}.{ext}").write_bytes(raw)\n print("Every returned image saved; complete response metadata retained")\nsave_images(json.loads(Path("result.json").read_text())["data"])\nPY_RESULT\nDownload each returned image or save its Base64 contents
GET /v1/media/tasks/{task_id}GET /v1/media/assets/{asset_id}/contentGET /v1/media/assetsGET /v1/media/assets/{asset_id}set -eu\n: "${AILOOT_API_KEY:?Set your Ailoot API key}"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n -H "Authorization: Bearer $AILOOT_API_KEY" -o owned-assets.json\n# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.\nSave every completed image; retrieve each returned URL or decode its Base64 contents.
Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.
Keep the returned X-Client-Request-ID for reconciliation. Read only actual returned task_id/asset_id values or the owned media library; never build a task URL from the operation ID and never resubmit creation.
| Field | Type |
|---|---|
Fieldcreated | Type |
Fielddata[].url | Type |
Fielddata[].b64_json | Type |
Fieldusage | Type |
Ailoot Ultra sourceful/riverflow-v2.5-pro
/v1/images