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Anima Reverse Prompt Simplified Workflow (Image → Tags → Anima Format) (6G VRAM can run it!)

Updated: Nov 12, 2026

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Workflows
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Published

Nov 11, 2026

Base Model
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AutoV2E3F8BCF65D

The CircleStone Model is licensed by CircleStone Labs LLC under the CircleStone Non-Commercial License. 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

anima1_00001__clean.png

Anima Reverse Prompt Simplified Workflow (6G VRAM can run it!)

Drop an image → auto reverse prompt → auto classify tags → output already in Anima format. No manual tagging.


🎮 Run it online (no install)

Global: https://www.runninghub.ai/user-center/1898017693566418945/webapp?inviteCode=rh-v1315

Click the link above to try it without downloading any model. If the results are good, deploy it to your local environment.

Register and bind my invitation code rh-v1315 to get an extra 1000 RH coins. You also get 100 points by logging in daily — usable for both image and video generation.

Video walkthrough:



📖 Full documentation — read this first

Node-by-node explanation, install steps, Python dependencies, llama.cpp setup, model placement, and how to fix red nodes:
https://icn01wg02kz3.feishu.cn/wiki/GrCtwn5tSignWokefrycOxe8nNf?from=from_copylink


📦 Required plugins (8)

1. ComfyUI-Danbooru-Anima-Prompt — the plugin this workflow is built for
https://github.com/Zove-try/ComfyUI-Danbooru-Anima-Prompt

2. ComfyUI-TaggerPlus — fast WD14 / PixAI tagger
https://github.com/Zove-try/ComfyUI-TaggerPlus

3. comfyUI-llama-TE — local Qwen3.5-VL reverse prompt
https://github.com/tl2012tl/comfyUI-llama-TE

4. Comfyui_Comfly
https://github.com/ainewsto/Comfyui_Comfly

5. rgthree-comfy
https://github.com/rgthree/rgthree-comfy

6. ComfyUI-Easy-Use
https://github.com/yolain/ComfyUI-Easy-Use

7. ComfyUI-KJNodes
https://github.com/kijai/ComfyUI-KJNodes

8. ComfyUI-Lora-Manager
https://github.com/willmiao/ComfyUI-Lora-Manager


🧩 Models used (4)

1. Anima Base v1.0 — the main model (2B, anime / illustration)
https://huggingface.co/circlestone-labs/Anima
All three files below live in the repo's split_files/ folder.
anima-base-v1.0.safetensors  →  ComfyUI/models/diffusion_models/
qwen_3_06b_base.safetensors  →  ComfyUI/models/text_encoders/
qwen_image_vae.safetensors  →  ComfyUI/models/vae/

2. Anima Turbo LoRA v0.1 — speed LoRA, cuts sampling to 4–8 steps
https://civitai.com/models/2560840/anima-turbo-lora
anima-turbo-lora-v0.1.safetensors  →  ComfyUI/models/loras/

3. Qwen3.5-9B-Uncensored-HauhauCS-Aggressive (GGUF) — local reverse prompting (Qwen TE line)
https://huggingface.co/botp/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive
Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q6_K.gguf
mmproj-Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-BF16.gguf
 →  both go in ComfyUI/models/LLM/

4. PixAI Tagger v1.0 — tagging model used by ComfyUI-TaggerPlus
https://huggingface.co/pixai-labs/pixai-tagger-v1.0
 →  ComfyUI/models/pixai_tagger/

All of the above are already inside the Quark pack — if you grab the pack you don't need any of these links.

Anima weights are released under CircleStone Labs' non-commercial license — check the repo before commercial use.
📌 Two versions included

V1.0 (Gelbooru) — uses the GelbooruBrowser node
V1.0 (Danbooru) — uses the DanbooruBrowser node

Everything else is identical. Pick whichever tag source you use more.


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