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Anima 2.9B Tiled High-Resolution Redraw

Updated: Nov 2, 2026

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04_Anima-2.9B_______.json

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Type
Workflows
Stats

26

Reviews

(1)

Published

Nov 2, 2026

Base Model

Anima

Hash
AutoV202969AEE9E

The Anima Model is licensed by CircleStone Labs LLC. Copyright CircleStone Labs LLC. IN NO EVENT SHALL CIRCLESTONE LABS LLC BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.

Built on NVIDIA Cosmos

04_ChatGPT Image 2026年8月18日 18_43_33 (4).png


RunningHub workflow page: https://www.runninghub.ai/zh-cn/post/2089343542203346946?inviteCode=rh-v1111

Anima 2.9B Tiled High-Resolution Redraw

Purpose: take an existing image to a much larger size by upscaling it, tiling it, and running a low-denoise redraw per tile with the Anima 2.9B checkpoint. This is the "chunked" high-resolution route: the model never sees the whole canvas at once, so memory stays bounded while detail is rebuilt tile by tile.

Graph (as saved)

27 nodes / 35 links.

  • UNETLoader Anima-2.9B-preview-v1.safetensors; CLIPLoader qwen_3_06b_base.safetensors (type stable_diffusion); VAELoaderKJ qwen_image_vae.safetensors.
  • Input: LoadImage, then UpscaleModelLoader 4x_NMKD-Siax_200k.pth + ImageUpscaleWithModel, then ImageScaleToTotalPixels (lanczos, 4.0 MP).
  • Tiling: TTP_Tile_image_size at 2x2 tiles with 0.35 overlap, TTP_Image_Tile_Batch / TTP_Image_Assy for batch and reassembly.
  • Redraw: VAEEncode, KSampler 28 steps / CFG 5 / res_multistep / linear_quadratic / denoise 0.20, then VAEDecodeTiled.
  • Caption helper: WD14Tagger|pysssss (wd-eva02-large-tagger-v3) + ShowText + string concat feed the prompt path.
  • SaveImage prefix Anima_2.9B/tiled_redraw.

How to use

Start from a clean source image. The 0.20 denoise is deliberately low: it adds detail without repainting the composition, and raising it will make tiles disagree with each other. The tile overlap is what hides seams; if you change the tile count, keep the overlap and re-check the seams.

Limits and not-verified items

No inference was run for this listing: no speed, VRAM, seam-quality or resolution claim is made; every value is quoted from the saved nodes. Weights, upscale model, tagger, VAE, encoder and input images are not bundled. The cover image is a promotional still, not a frame produced by this graph.

Tutorial: YouTube · Bilibili. Workflows supplied through AI-KSK; verify workflow, node, model, upscaler, tagger, image and cover rights separately. No blanket commercial or redistribution license is asserted.