CIVITAI / Workflows

Anima Preview3 | Tiled Upscale & High-Resolution Detail Refinement Workflow

This workflow is designed for Anima Preview3 tiled upscaling and high-resolution anime detail refinement. Its main purpose is to take an existing anime-style image, enlarge it, split it into manageable tiles, refine each local region with Anima Preview3, and then reconstruct the image into a cleaner high-resolution result. Instead of relying only on a basic pixel upscaler, this workflow combines traditional upscale, tile processing, prompt-assisted regeneration, VAE encoding / decoding, and final image assembly to produce a more polished output. The workflow uses anima-preview3-base.safetensors as the main generation model, qwen_3_06b_base.safetensors as the text encoder, and qwen_image_vae.safetensors as the VAE. It also includes an optional LoRA route, with Gundam_RX78_Flux used in the example setup, showing that the workflow can be adapted for mecha, armor, character, or specific style enhancement tasks. The initial enlargement stage uses 4x_NMKD-Siax_200k.pth, which helps expand the image before the Anima refinement stage begins. The core structure is a tiled enhancement pipeline. The source image is loaded, upscaled, resized to a larger total pixel target, and then divided into tiles through TTP_Tile_image_size and TTP_Image_Tile_Batch. Each tile becomes an independent local region that can be encoded, refined, decoded, and later reassembled. This is important because large anime images often lose detail or become unstable when processed in one full-frame pass. Tiled processing lets the workflow focus more generation attention on each region, improving local texture, line clarity, small mechanical details, clothing folds, hair strands, and background elements. The workflow also uses WD14 tagging. The tile or image content can be analyzed automatically, and the extracted tags can be used to help guide the refinement prompt. This makes the workflow useful when the creator wants the upscaler to understand what is in the image, not just enlarge it mechanically. For anime and illustration work, this can help keep character features, objects, and style direction more coherent during the enhancement stage. The sampling route uses ClownsharKSampler_Beta with a controlled denoise value. This is critical for tiled upscale work. If denoise is too high, each tile may redraw too aggressively and break consistency across the image. If denoise is too low, the imag