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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
ComfyUI-AnimaFastTrain is an experimental ComfyUI custom node for quickly training in-memory Anima reference context tokens from one or more reference images.
Instead of creating a LoRA, checkpoint, embedding, or safetensors file, AnimaFastTrain learns temporary context tokens during the workflow and injects them into the Anima model’s cross-attention at generation time.
This makes it useful for experiments with character consistency, visual reference influence, and style transfer without writing trained weights to disk.
Main features:
- Trains lightweight reference context tokens directly inside ComfyUI
- Keeps everything in memory, no model files are saved
- Patches the Anima model during sampling
- Supports up to 3 reference images
- Adjustable token count, training steps, learning rate, dtype, and runtime strength
- Useful for quick style/identity experiments before committing to a full LoRA training run
Included nodes:
- AnimaFastTrain - Train Context Tokens
- AnimaFastTrain - Patch Model
Recommended workflow:
Checkpoint Loader -> LoRA Loader -> AnimaFastTrain Patch Model -> KSampler
Train the context tokens from a reference image, patch the final model after other model/LoRA patches, and then generate normally.
Install by cloning the repo or using comfy manager.
GitHub: