CIVITAI / Workflows

Anima Tiled Upscale Workflow

This ComfyUI workflow is designed for Anima tiled upscaling, high-resolution image enhancement, and tile-based detail reconstruction. The main purpose of this workflow is to take an existing image, enlarge it, split it into manageable tiles, automatically describe each tile with Florence2, refine each tile through Anima Preview, and then reconstruct the final high-resolution image with improved clarity and detail. Unlike a simple one-click upscale workflow, this graph uses a multi-stage enhancement structure. It does not only increase image size. It first uses a traditional upscale model to enlarge the source image, then uses AI-based tile refinement to rebuild details locally. This makes the workflow useful for images that need more texture, cleaner edges, stronger local detail, and better final publishing quality. The workflow is built around Anima Preview, using anima-preview.safetensors as the main diffusion model. It also uses qwen_3_06b_base.safetensors as the text encoder and qwen_image_vae.safetensors as the VAE. The workflow includes an optional LoRA route through LoraLoader, which can be used to apply a specific style, model feature, or subject-related enhancement during the tile refinement stage. In the uploaded graph, the LoRA example is loaded with model and clip strengths around 0.85. The first stage starts with LoadImage. The user uploads the image that needs to be enlarged and refined. This can be an AI-generated image, anime artwork, character illustration, concept art, product-style render, social media cover, or any image that already has a good composition but needs higher resolution and better detail. The image is then passed into ImageUpscaleWithModel using 4x_NMKD-Siax_200k.pth. This is the first-stage traditional upscaler. It enlarges the image while preserving the original layout and structure. Traditional upscalers are stable and fast, but they often cannot add enough semantic detail. That is why this workflow continues with Anima-based tile refinement after the initial enlargement. After the first upscale, ImageScaleToTotalPixels is used to control the final working size. In the uploaded setup, the workflow uses Lanczos scaling and targets around 3 megapixels. This gives users a practical way to control output scale without manually calculating width and height. It also helps keep the workflow manageable before entering the ti