Instructions to use aina-tech/Anima-Lightning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aina-tech/Anima-Lightning with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aina-tech/Anima-Lightning", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Cosmos
How to use aina-tech/Anima-Lightning with Cosmos:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
|
Download NOTICE.md from aina-tech/Anima-Lightning: direct link, hf CLI and curl.
- Browser
- Download file 594 Bytes
-
https://huggingface.co/aina-tech/Anima-Lightning/resolve/main/NOTICE.md
- Command line
-
hf download hf://aina-tech/Anima-Lightning/NOTICE.md
-
curl -L -o NOTICE.md https://huggingface.co/aina-tech/Anima-Lightning/resolve/main/NOTICE.md
594 Bytes
Notice
Anima-Lightning is a 4-step distilled derivative model based on
circlestone-labs/Anima, which is itself based on
nvidia/Cosmos-Predict2-2B-Text2Image.
This repository contains distilled model weights and is not an official CircleStone Labs, Comfy Org, or NVIDIA release.
The upstream model is licensed by CircleStone Labs LLC under the CircleStone
Labs Non-Commercial License. See LICENSE.md for the full license terms.
Runtime note: this model uses the custom 4-step TDM trajectory documented in
distilled_generation_config.json, not the original full-step Anima sampler.