CIVITAI / Workflows

WAI-ANIMA Image-to-Image | Controlled Anime Style Refinement Workflow

This workflow is designed for WAI-ANIMA image-to-image generation and controlled anime-style refinement. Its main purpose is to take an existing image as the visual foundation, then use the WAI-ANIMA model pipeline to redraw, enhance, stylize, or push the image toward a cleaner anime key visual while still keeping the original composition as an anchor. Compared with a pure text-to-image workflow, this setup gives creators more control because the input image is not discarded. The uploaded image is loaded into the workflow, resized through a pixel-scaling node, encoded into latent space through the Qwen image VAE, and then processed through the WAI-ANIMA generation model. This means the final result is guided by both the source image and the written prompt, making it useful for style conversion, anime redraws, character enhancement, composition preservation, and prompt-based visual refinement. The workflow uses waiANIMA_v10 as the main UNet model, qwen_3_06b_base as the text encoder, and qwen_image_vae as the VAE. This combination is aimed at anime-style image generation with stronger prompt understanding and cleaner visual rendering. The workflow is compact, direct, and easy to modify, making it suitable for creators who want a simple but practical Anima image-to-image setup instead of a large multi-stage graph. The input image is scaled to around a 1-megapixel working size through image_scale_pixel_v2. This helps normalize the image before it enters the latent process, avoiding extremely small or oversized inputs that may reduce stability. After that, VAEEncode converts the image into latent space, allowing the sampler to modify the image with controlled denoise rather than generating from a blank latent. The sampler section uses ClownsharKSampler_Beta with a 30-step beta-style sampling route, CFG control, and a moderate denoise setting. This is important for image-to-image work. If denoise is too low, the result may barely change. If denoise is too high, the original structure can be lost. The setup here is meant to balance source-image preservation with visible anime-style transformation. The positive prompt in the workflow is built around a high-quality anime key visual: adult anime beauty, Anima style, fantasy atmosphere, cinematic composition, detailed clothing, dramatic scale, and polished illustration finish. The negative prompt suppresses commo