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
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Download NOTICE.md from aina-tech/Anima-Lightning: direct link, hf CLI and curl.
- Browser
- Download file 594 Bytes
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https://huggingface.co/aina-tech/Anima-Lightning/resolve/main/NOTICE.md
- Command line
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hf download hf://aina-tech/Anima-Lightning/NOTICE.md
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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. | |