Sourceful

Riverflow 2.6 Pro is the flagship model of Sourceful's Riverflow 2.6 lineup, a unified text-to-image and image-to-image family that treats generation as a production workflow: an integrated reasoning model plans multi-step edits and judges candidates before accepting a result, combining that reasoning with a mix of closed and open image diffusion models for accuracy and steerability. Reasoning effort is controllable via the reasoning parameter (low/medium/high/xhigh); higher levels do more editing passes and apply a stricter internal judge. Riverflow 2.6 adds custom output dimensions: pass size as WIDTHxHEIGHT (up to 16,384 px per edge, 16.8 megapixels total, 16:1 aspect ratio) instead of a preset, or keep using 1K/2K/4K with an aspect ratio (now including 5:4 and 4:5). It accepts up to 10 input images for editing. Pricing is dynamic: cost is finalized per job at completion based on billable processing, so it scales with reasoning effort, output size, and editing complexity rather than a fixed per-image rate. Additional features (via image_config): - Custom font rendering via font_inputs (max 2) to match brand lettering, spacing, and weight - Custom scoring via scoring_prompt and scoring_rubric, so the reasoning model evaluates and steers each candidate against the criteria you care about - Background control via background_mode (original, transparent, solid) and background_hex_color See the image generation docs for details: https://openrouter.ai/docs/features/multimodal/image-generation Note: Sourceful imposes a 4.5MB request size limit, therefore it is highly recommended to pass image URLs instead of Base64 data.

Riverflow V2.5 Pro is the most powerful variant of Sourceful's Riverflow 2.5 lineup, best for top-tier control and quality-sensitive outputs. The Riverflow 2.5 series is a unified text-to-image and image-to-image family that treats generation as a production workflow, using an integrated reasoning model to plan multi-step edits and judge candidates before accepting a result. Riverflow 2.5 combines their reasoning with a mix of closed and open image diffusion models to provide greater accuracy and steerability.Reasoning effort is controllable via the reasoning parameter (low/medium/high/xhigh) - higher levels do more editing passes and apply a stricter internal judge, with xhigh suited to batch runs that need high repeatability. It generates at 1K, 2K, and 4K resolution and accepts up to 10 input images for editing. Pricing is dynamic: cost is finalized per job at completion based on billable processing, so it scales with reasoning effort, resolution, and editing complexity rather than a fixed per-image rate. Additional features (via image_config): - Custom font rendering via font_inputs (max 2) to match brand lettering, spacing, and weight - Custom scoring via scoring_prompt and scoring_rubric, so the reasoning model evaluates and steers each candidate against the criteria you care about - Background control via background_mode (original, transparent, solid) and background_hex_color See the image generation docs for details: https://openrouter.ai/docs/features/multimodal/image-generation Note: Sourceful imposes a 4.5MB request size limit, therefore it is highly recommended to pass image URLs instead of Base64 data.

Riverflow V2.5 Fast is the speed-optimized variant of Sourceful's Riverflow 2.5 lineup, best for production deployments and latency-critical workflows. The Riverflow 2.5 series is a unified text-to-image and image-to-image family that treats generation as a production workflow, using an integrated reasoning model to plan multi-step edits and judge candidates before accepting a result. Riverflow 2.5 combines their reasoning with a mix of open image diffusion models to provide greater accuracy and steerability. Reasoning effort is controllable via the reasoning parameter (low/medium/high) - higher levels do more editing passes and apply a stricter internal judge, while lower levels return faster for early exploration. It generates at 1K and 2K resolution (no 4K) and accepts up to 4 input images for editing. Pricing is dynamic: cost is finalized per job at completion based on billable processing, so it scales with reasoning effort, resolution, and editing complexity rather than a fixed per-image rate. Additional features (via image_config): - Custom font rendering via font_inputs (max 2) to match brand lettering, spacing, and weight - Custom scoring via scoring_prompt and scoring_rubric, so the reasoning model evaluates and steers each candidate against the criteria you care about - Background control via background_mode (original, transparent, solid) and background_hex_color See the image generation docs for details: https://openrouter.ai/docs/features/multimodal/image-generation Note: Sourceful imposes a 4.5MB request size limit, therefore it is highly recommended to pass image URLs instead of Base64 data.

Riverflow V2 Pro is the most powerful variant of Sourceful's Riverflow 2.0 lineup, best for top-tier control and perfect text rendering. The Riverflow 2.0 series represents SOTA performance on image generation and editing tasks, using an integrated reasoning model to boost reliability and tackle complex challenges. Pricing is $0.15 per 1K/2K output image and $0.33 per 4K output image. Additional features: - Custom font rendering via font_inputs ($0.03/font, max 2) - Image enhancement via super_resolution_references ($0.20/reference, max 4) See the image generation docs for details: https://openrouter.ai/docs/features/multimodal/image-generation Note: Sourceful imposes a 4.5MB request size limit, therefore it is highly recommended to pass image URLs instead of Base64 data.

Riverflow V2 Fast is the fastest variant of Sourceful's Riverflow 2.0 lineup, best for production deployments and latency-critical workflows. The Riverflow 2.0 series represents SOTA performance on image generation and editing tasks, using an integrated reasoning model to boost reliability and tackle complex challenges. Pricing is $0.02 per 1K output image and $0.04 per 2K output image. Does not support 4K image output. Additional features: - Custom font rendering via font_inputs ($0.03/font, max 2) - Image enhancement via super_resolution_references ($0.20/reference, max 4) See the image generation docs for details: https://openrouter.ai/docs/features/multimodal/image-generation Note: Sourceful imposes a 4.5MB request size limit, therefore it is highly recommended to pass image URLs instead of Base64 data.