Comfyui-Anima-Regional-Conditioning Paints Prompts in Bounded Regions

    
        By vramkickedin    
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            May 30, 2026 at 8:44 pm        
    
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        2 min read

Comfyui-Anima-Regional-Conditioning is a custom node for ComfyUI that brings regional text conditioning to Anima image generation models. It works by routing cross-attention so that masked parts of the image only respond to their assigned prompt, while self-attention can be limited to those same regions. This allows different descriptions to control separate areas of a single generated picture without merging prompts together.

Sen-sou created this node with programming help from Codex to solve a common workflow problem. The tool patches the diffusion model during sampling to temporarily replace attention operations, then restores them afterward. It was built as an alternative to existing solutions like sd-forge-couple, aiming for tighter mask boundaries and more reliable region separation.

Regional control with masked attention

Key Features

Assign unique prompts to different masked regions.
Route cross-attention based on spatial masks.
Limit self-attention mixing between separate areas.
Apply base conditioning to uncovered or all regions.
Blend unpatched output for global coherence.
Set start and end timesteps for the patch.
Adjustable strengths for both cross and self masking.
Chain multiple region nodes for complex layouts.

This tool is for anyone who needs precise composition in AI-generated images, such as artists placing objects in distinct zones. By keeping prompts from bleeding into the wrong areas, it reduces cleanup work and makes iterative design faster. The node is especially useful when working with Anima models where generic prompting often fails to respect sharp boundaries.

What to expect and current limits

The developer notes that the approach is still experimental and can produce uneven compositions, especially when masks overlap or require natural transitions. High self-attention mask strength often leads to visible edges or isolated-looking regions, and a careful blend of the base ratio and background prompt is recommended to keep the image coherent. The node supports only Anima models and resizes all masks to the internal token grid automatically.