
Sourceful
Packaging focused AI imagery with precise editing control
Sourceful targets packaging and product design with AI tools tuned for print ready accuracy and brand consistency. Its visual models combine text to image generation with fine grained editing that respects layout, typography, and physical packaging constraints, which is essential when a design must move from screen to real world objects. As a provider on Runware, Sourceful gives teams a way to generate and refine packaging visuals inside the same infrastructure they use for broader image generation, which means product mockups, branded scenes, and detailed edits can live inside one coherent media pipeline.
Models by Sourceful

Riverflow 2 Preview Fast
Riverflow 2 Preview Fast is a lightweight edition tuned for speed and lower cost. It supports text-to-image generation for product visuals with strong brand accuracy. It also handles precise image editing so teams can refine packaging and marketing assets efficiently.

Riverflow 2 Preview Standard
Riverflow 2 Preview Standard targets production image pipelines. It balances realism with controllable detail and stable reference product handling. Ideal for brand visuals that require consistent styling, precise prompt response and smooth integration into creative tools.

Riverflow 2 Preview Max
Riverflow 2 Preview Max targets commercial image work that needs strict control over detail and lighting. It produces clean product renders with accurate reflections and sharp textures. Use it when you need consistent visual quality for campaigns or client deliveries.

Riverflow 1.1 Pro
Riverflow 1.1 Pro is a professional image editing model for precise retouching and layout safe changes. It supports multi image inputs, aspect ratio control and text guided edits. Use it to adjust lighting, replace objects or refine packaging visuals with consistent output.

Riverflow 1.1 Mini
Riverflow 1.1 Mini is a compact image editing model that targets speed and low cost while staying close to Riverflow 1.1 quality for most tasks. It is suited for bulk image transformations, iterative design workflows, and integration into production pipelines with tight latency limits.
