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 t5_tokenizer/tokenizer.json from aina-tech/Anima-Lightning: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/aina-tech/Anima-Lightning/resolve/main/t5_tokenizer/tokenizer.json
- Command line
-
hf download hf://aina-tech/Anima-Lightning/t5_tokenizer/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/aina-tech/Anima-Lightning/resolve/main/t5_tokenizer/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.