CIVITAI / Workflows

Anima Edit Image Editing and Local Inpainting Workflow

Watch the full video first if you want to understand how this Anima Edit workflow works in practice. The video shows how Anima Base can be used for image editing, local inpainting, outfit change, and reference-guided transformation, while keeping the workflow online and easy to test without rebuilding the full ComfyUI environment locally. This ComfyUI workflow is designed for Anima image editing and local transformation. Its main purpose is to take an existing image, define the edit direction through prompt and mask logic, then regenerate the target area while preserving the original image structure as much as possible. Instead of using Anima only for pure text-to-image generation, this workflow turns Anima into a practical editing pipeline for changing clothes, adjusting appearance, modifying a scene, testing character edits, and comparing different edit LoRA routes. The workflow is built around anima_baseV10.safetensors as the main model. It uses qwen_3_06b_base.safetensors as the text encoder and qwen_image_vae.safetensors as the VAE. The input image is loaded through LoadImage, then resized to a controlled 1024×1024 working canvas. This gives the editing process a stable base resolution and avoids random size mismatch problems. A key part of the workflow is the IC-style side-by-side editing structure. AILab_ICLoRAConcat combines the original image and edit target into a left-right layout, producing both an image and a base mask. This structure helps the model understand that the right side should become the edited result while the left side provides the original reference. The workflow also uses InpaintModelConditioning to prepare positive conditioning, negative conditioning, latent image, image pixels, and mask data for local inpainting. The workflow includes Anima-LLLite inpainting v2 through AnimaLLLiteApply. This module injects lightweight inpainting guidance into the Anima model, helping the model follow the image and mask more accurately during local edits. It is especially useful when the target is not to redraw the whole image, but to change a selected area while keeping identity, pose, framing, and background logic more stable. The graph also includes two edit LoRA routes: AnimaEditV1 and lora_edit_ZeroTwo. These are loaded through LoraLoaderModelOnly and connected into separate generation branches. This makes the workflow useful for testin