Upscaling with Ultimate SD Upscale/ Tile Controlnet SD Upscale &amp; Anima Models基于 Ultimate SD Upscale 或 Tile Controlnet 与 Anima 模型的放大工作流Thanks @L_A_X for the tile ControlnetCNTile Upscale Parameter Notes - Prompt: Use the original image's prompt. - Denoising Strength: Recommended range is 0.25 – 0.75. - Steps: Adjust according to denoising strength, typically 6 – 20+ steps. - Upscaled resolution: 1536–2560. - Sampler: er_sde is recommended. - Controlnet strength: 0.4–1.0; recommended strength 0.7 and cn ended at0.8.- Plz download CN model from here: <a target="_blank" rel="ugc" href="https://civarchive.com/models/2708551">https://civarchive.com/models/2708551</a> USDU Upscale Parameter Notes - Prompt: original image's prompt - Denoising Strength: Recommended range is 0.15 – 0.35. - Steps: Adjust according to denoising strength, typically 6 – 15 steps. - Tile Size: AP3 1280, Anima Base 1536. - Sampler: er_sde recomandedCNTile 放大参数说明 - 提示词：使用原图的提示词。 - 重绘幅度（Denoising Strength）：建议范围 0.25～0.75。 - 步数（Steps）：根据重绘幅度调整，通常为 6～20+ 步。 - 放大后分辨率：1536～2560。 - 采样器（Sampler）：推荐使用 er_sde。 - ControlNet 强度（CN strength）：范围 0.4～1.0，推荐 0.7且在0.8结束(CN tile模型在这里下载:<a target="_blank" rel="ugc" href="https://civarchive.com/models/2708551">https://civarchive.com/models/2708551</a>USDU Upscale 参数说明 - 提示词：原图生成时的提示词 - 重绘幅度（Denoise）：建议设置在 0.15～0.35 之间。 - 步数（Steps）：根据重绘幅度调整，推荐 6～15 步。 - 切片基础尺寸（Tile Size）：AP3 1280, Anima Base 1536. - 采样器（Sampler）：推荐使用er_sde Update Log - 26/04/12: Version 1.1 updated to preview3. - 26/04/18: Version 1.1 added a Lora loader and adjusted parameters; - 26/05/14: Version 1.2 introduced the following QoL (Quality of Life) nodes: - Auto tile sizing - Comparison preview - Save with metadata - 26/06/21: Version 1.2a adjusted baseline parameters for improved default performance.- 26/06/21: add first controlnet tile upscale experimental workflow

Anima USDU/CNTile Upscale workflow (Anima 放大工作流)

updated to review3 which support up to 2048p

animaUSDUCntileUpscale_usduv11.zip

animaUltimateSD_v11.zip

Files with SHA256: 939cfd3990005313e43e54ec4a5229b33d126be19ed8740ed12ad10f1b0c563d