Source: https://ailoot.ai/models/en/sourceful-riverflow-v2-5-fast/ Canonical: https://ailoot.ai/models/en/sourceful-riverflow-v2-5-fast/ Language: en # Sourceful: Riverflow V2.5 Fast [Markdown](https://ailoot.ai/models/en/sourceful-riverflow-v2-5-fast/index.md) · [JSON](https://ailoot.ai/models/en/sourceful-riverflow-v2-5-fast/facts.json) ## [Sourceful: Riverflow V2.5 Fast](https://ailoot.ai/models/en/sourceful-riverflow-v2-5-fast/) Riverflow 2.5 Fast is Sourceful’s Fast profile for generating and editing product and marketing imagery. Use it to explore compositions and focused edits within the family’s reasoning-led workflow, with clear references, typography and review criteria. - [**Ailoot Ultra · Images** `POST /v1/images/generations` `sourceful/riverflow-v2.5-fast`](https://ailoot.ai/models/en/sourceful-riverflow-v2-5-fast/#method-0) About the model This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below. Riverflow 2.5 Fast is the Fast profile of Sourceful’s Riverflow 2.5 image generation and editing family. It suits early creative iteration and repeatable application steps where the brief needs a useful image candidate promptly. The family combines a written instruction and source images with a reasoning-led editing process that reviews candidates and makes corrections. Pro is the separate quality-focused profile of the same generation. For exploration, define one visual question per brief: the setting, the composition, the product arrangement or a focused change to an existing image. An original product reference should remain the anchor while the environment or crop changes around it. A useful catalogue task can explore a tabletop scene for a bottle, then compare whether the image leaves sufficient room for its approved heading. Keep the product identity and intended placement consistent across candidates so the comparison is about the creative choice rather than an accidental change of subject. The 2.5 family’s custom judging lets a rubric express what makes a candidate useful. Specify criteria such as recognisable packaging, readable lettering, coherent lighting and a practical crop. Keep that rubric distinct from the generation instruction: one describes the image to make, while the other sets the lens used to review it. Lower thinking effort is useful at the early exploration stage; additional review can then be directed at the criteria that the first candidate missed. Reference preparation is central to a focused edit. Identify which image supplies the product and which provides a setting, artwork or mood. State the element to change and the characteristics to preserve, such as a lid shape, label colour or readable product name. For a set of related variants, keep the lighting direction and style description stable while changing the one property that distinguishes each asset. The family’s context awareness supports product and campaign imagery, but the brief should still supply the facts and references that identify the item. Font Control can use up to two supplied custom font files in the 2.5 workflow. Give the exact headline and caption, their placement and the font role of each. A small number of well-defined text blocks makes the hierarchy easier to assess than a dense canvas with several conflicting directions. Review the spelling, numbers, line breaks and weight in the resulting image at the size where it will be used. The image is a rendered artifact, not an editable typesetting file or a functioning interface. The family includes normal, solid-colour and transparent background workflows. Prepare a transparent cutout when the image should be composited into another layout, or a controlled solid background when a product set needs a common visual base. Use a finished scene for a campaign image. Choose the available resolution and crop for the actual output placement, then check the visible product and text details rather than assuming that a larger canvas alone establishes their accuracy. Fast is separate from Pro and from the 2.0 generation. Riverflow 2.5 adds deeper reasoning, custom review criteria and improved font and background controls to the earlier multi-step approach. For a useful iteration loop, retain the candidate that fits the composition, identify the precise remaining issue and revise that part of the brief or rubric. Keep the selected image, source references and review criteria together so subsequent changes develop the same creative rather than restarting its identity. **Ailoot Ultra · Images** `POST /v1/images/generations` `sourceful/riverflow-v2.5-fast` [`sourceful/riverflow-v2.5-fast`](https://ailoot.ai/models/en/#m=sourceful%2Friverflow-v2.5-fast&route=Ultra&caller=sourceful%2Friverflow-v2.5-fast&fmt=images) Sourceful /`sourceful/riverflow-v2.5-fast` ### Overview Riverflow 2.5 Fast is Sourceful’s Fast profile for generating and editing product and marketing imagery. Use it to explore compositions and focused edits within the family’s reasoning-led workflow, with clear references, typography and review criteria. Accepted inputs Text · Images Results Images ### Available in Ailoot · inputs & methods **Ailoot Ultra · Images** `POST /v1/images/generations` Input types `text`, `image` Output types `image` | Field | Type | Requirement | Values & limits | Default | | --- | --- | --- | --- | --- | | Field`model` | Type`string` | RequirementRequired | Values & limits sourceful/riverflow-v2.5-fast | Default— | | Field`prompt` | Type`string` | RequirementRequired | Values & limits Minimum length: 1 | Default— | | Field`resolution` | Type`string` | RequirementOptional | Values & limits 1K, 2K | Default— | | Field`aspect_ratio` | Type`string` | RequirementOptional | Values & limits 1:1, 4:3, 3:4, 3:2, 2:3, 16:9, 9:16, 21:9, auto | Default— | | Field`output_format` | Type`string` | RequirementOptional | Values & limits jpeg | Default— | | Field`background` | Type`string` | RequirementOptional | Values & limits auto, transparent, opaque | Default— | | Field`n` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Maximum: 1 | Default— | | Field`input_references` | Type`array` | RequirementOptional | Values & limits Minimum items: 0 Maximum items: 4 | Default— | | Field`provider` | Type`object` | RequirementOptional | Values & limits | Default— | Method parameters and lifecycle | Parameter | Contract | | --- | --- | | Parameter`content_type` | Contractapplication/json | | Parameter`required` | Contractmodel, prompt | | Parameter`material_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}` ### Pricing ##### How the final charge is calculated 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. Fast mode Not specified When fast mode is selected Flex mode Not specified When flex mode is selected Maximum reasoning effort Not specified When maximum reasoning effort uses the default adjustment #### Estimated rates for comparison #### Prices by configuration 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 **$0.038** per output image | | ConfigurationEstimated generation cost | Rate schedule— | Forecast quantityone generation estimate | Billing unit— | Charge Output · Estimated generation cost · Estimate for comparison only **$0.038** estimate before generation This estimate is not an additional charge or a fixed rate for the completed generation. | Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/) ### Example requests #### Ailoot Ultra · Images curl ```bash set -eu : "${AILOOT_API_KEY:?Set your Ailoot API key}" export AILOOT_API_KEY python3 - <<'PY_REQUEST' import json,os from pathlib import Path p={'model': 'sourceful/riverflow-v2.5-fast', 'prompt': 'a red panda astronaut floating in space, studio lighting'} Path("request.json").write_text(json.dumps(p,ensure_ascii=False)) PY_REQUEST curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \ -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \ --data-binary @request.json -D response-headers.txt -o result.json python3 - <<'PY_RESULT' import base64, json, os, subprocess from pathlib import Path from urllib.parse import urlsplit, urljoin def save_images(items): if not items: raise SystemExit("No completed images; retain the full response") for index, item in enumerate(items): encoded=item.get("b64_json") uri=item.get("url", "") if not encoded and uri.startswith("data:image/"): header, separator, encoded=uri.partition(",") if not separator or ";base64" not in header: raise SystemExit("Unsupported image data URI") if encoded: raw=base64.b64decode(encoded,validate=True) elif uri: uri=urljoin("https://api.ailoot.ai",uri) parsed=urlsplit(uri) if parsed.scheme!="https" or not parsed.netloc or parsed.username or parsed.password: raise SystemExit("Invalid returned image URL") owned=parsed.netloc=="api.ailoot.ai" and parsed.path.startswith("/v1/media/assets/") and parsed.path.endswith("/content") args=["curl","--fail-with-body","--silent","--show-error",uri] if owned: args += ["-H","Authorization: Bearer "+os.environ["AILOOT_API_KEY"]] temporary=Path(f"image-{index}.bin") subprocess.run(args+["-o",str(temporary)],check=True) raw=temporary.read_bytes() temporary.unlink() else: raise SystemExit("Image has neither bytes nor URL") if not raw: raise SystemExit("Empty image result") 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"