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 distilled_generation_config.json from aina-tech/Anima-Lightning: direct link, hf CLI and curl.
- Browser
- Download file 435 Bytes
-
https://huggingface.co/aina-tech/Anima-Lightning/resolve/main/distilled_generation_config.json
- Command line
-
hf download hf://aina-tech/Anima-Lightning/distilled_generation_config.json
-
curl -L -o distilled_generation_config.json https://huggingface.co/aina-tech/Anima-Lightning/resolve/main/distilled_generation_config.json
435 Bytes
| { | |
| "model_type": "anima_tdm_unify_step400", | |
| "dtype": "bfloat16", | |
| "steps": 4, | |
| "guidance_scale": 1.0, | |
| "scheduler_shift": 3.0, | |
| "raw_sigmas": [ | |
| 1.0, | |
| 0.75, | |
| 0.5, | |
| 0.25 | |
| ], | |
| "effective_sigmas": [ | |
| 1.0, | |
| 0.9, | |
| 0.75, | |
| 0.5, | |
| 0.0 | |
| ], | |
| "tdm_num_steps": 4, | |
| "max_sequence_length": 512, | |
| "width": 1024, | |
| "height": 1024, | |
| "custom_module": "anima_lightning_transformer.py", | |
| "negative_prompt": null | |
| } | |