Anima Base

ANIMA 1.0 (Anima Base Ultra) Text-to-Image Workflows

Overview

Anima is a ~2B-parameter anime / illustration text-to-image base model from CircleStone Labs, made in collaboration with Comfy Org. It is not SDXL-lineage. The architecture is NVIDIA Cosmos-Predict2-2B-Text2Image (a DiT / flow model), trained on several million anime images plus ~800k non-anime artistic images. It suits anime, manga, and illustrated characters and styles, not realism.

Key traits:

• Accepts Danbooru-style tags and/or natural language in the same prompt.
• Very low VRAM. It generates and trains on <6GB VRAM and runs on any PC that can run SDXL/Illustrious.
• License: CircleStone Labs Non-Commercial License, with NVIDIA Open Model License terms on the weights and derivatives. Generated images are usable commercially per the model card. Verify the current license text before relying on this.

ComfyUI loads it with standard split-file loaders, not a single checkpoint:

Verified from the pack's workflow JSON: CLIPLoader widget values are ["qwen_3_06b_base.safetensors", "stable_diffusion", "default"]. The HF model card describes standard loaders; the exact CLIP type string stable_diffusion is what the Aitrepreneur "Anima Base Ultra" workflow ships. Use it as-is.

Installation

The "Anima Base Ultra" pack (by Aitrepreneur) installs custom nodes and downloads all models. Models are mirrored on https://huggingface.co/Aitrepreneur/FLX/resolve/main; the official source is https://huggingface.co/circlestone-labs/Anima.

Custom nodes (git clone into ComfyUI/custom_nodes/)

Models (download URLs from the pack's .bat / .sh)

Base $HF = https://huggingface.co/Aitrepreneur/FLX/resolve/main, $YOLO11 = https://huggingface.co/Ultralytics/YOLO11/resolve/main. Append ?download=true.

comfyui_controlnet_aux fetches the DWPreprocessor/DepthAnythingV2 aux models (dw-ll_ucoco_384_bs5.torchscript.pt, yolox_l.onnx, depth_anything_v2_vitl.pth) on first use.

Key Nodes

Loaders

{
  "1": { "class_type": "UNETLoader", "inputs": { "unet_name": "anima-base-v1.0.safetensors", "weight_dtype": "default" }},
  "2": { "class_type": "CLIPLoader", "inputs": { "clip_name": "qwen_3_06b_base.safetensors", "type": "stable_diffusion", "device": "default" }},
  "3": { "class_type": "VAELoader", "inputs": { "vae_name": "qwen_image_vae.safetensors" }}
}

Anima Turbo LoRA (the shipped default — 12-step fast mode)

The pack applies it with rgthree Power Lora Loader. The plain ComfyUI equivalent is LoraLoaderModelOnly:

{
  "class_type": "LoraLoaderModelOnly",
  "inputs": { "model": ["1", 0], "lora_name": "anima-turbo-lora-v0.1.safetensors", "strength_model": 1.0 }
}

The pack ships three other LoRAs you can toggle in Power Lora Loader: anima-highres-aesthetic-boost, anima-preview-3-masterpieces-v5, anima_p3_rdbt_v0.29.b.122. In the non-turbo groups these three are enabled and the turbo LoRA is off; in the turbo groups only the turbo LoRA is on.

AnimaLLLiteApply_sdscripts (ControlNet + inpainting — from ComfyUI-Anima-LLLite)

Patches the MODEL. Anima uses LLLite-style control, not standard ControlNetApply conditioning. Inputs: model, image, mask; widget order [lllite_name, strength, start_percent, end_percent, preserve_wrapper]; output: patched MODEL. ComfyUI core now owns the old ID AnimaLLLiteApply (different signature: a MODEL_PATCH from ModelPatchLoader, no mask), so this pack uses the kohya-ss node ID AnimaLLLiteApply_sdscripts.

{
  "class_type": "AnimaLLLiteApply_sdscripts",
  "inputs": {
    "model": ["<model>", 0],
    "image": ["<control_or_source_image>", 0],
    "mask": ["<mask>", 0],
    "lllite_name": "anima-lllite-pose-1.safetensors",
    "strength": 1.0, "start_percent": 0.0, "end_percent": 1.0,
    "preserve_wrapper": true
  }
}

Settings

The base model and the turbo-LoRA path want different settings:

Sampler character, from the model card: er_sde gives a neutral style, flat colors, sharp lines; euler_ancestral gives softer, thinner lines; dpmpp_2m_sde_gpu is similar with more variety. The optional beta57 scheduler gives painterly looks.

Resolutions

The base model supports 512² to 1536². The pack recommends these to avoid distortion:

Prompt Style

Anima accepts Danbooru tags and natural language together. The pack's recommended formula:

masterpiece, best quality, score_7, safe, highres, official art,
1girl, solo,
@artist name,
clean lineart, detailed eyes, soft shading,

A young anime woman with long silver hair and blue eyes stands in a rainy neon city at night.
She wears a black futuristic jacket with glowing blue details. Medium close-up, wet pavement
reflections, soft background blur, cinematic lighting.

The order is quality tags, then subject/count tags, then an optional @artist name, then anime style tags, then 2 to 4 natural-language sentences describing subject, outfit, pose, composition, background, lighting, and mood. Use lowercase tags with spaces (not underscores), except score tags like score_7. Artist tags use @artist name; browse names at the community Anima Style Explorer (https://thetacursed.github.io/Anima-Style-Explorer/).

Recommended negative prompt:

worst quality, low quality, score_1, score_2, score_3, artist name, bad anatomy, bad hands,
missing fingers, extra fingers, extra arms, extra legs, duplicate, twins, text, watermark,
signature, simple background

Unlike Flux/Qwen, Anima does use a real negative prompt via a second CLIPTextEncode (CFG > 1 in base mode).