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 text_conditioner/config.json from aina-tech/Anima-Lightning: direct link, hf CLI and curl.
- Browser
- Download file 333 Bytes
-
https://huggingface.co/aina-tech/Anima-Lightning/resolve/main/text_conditioner/config.json
- Command line
-
hf download hf://aina-tech/Anima-Lightning/text_conditioner/config.json
-
curl -L -o config.json https://huggingface.co/aina-tech/Anima-Lightning/resolve/main/text_conditioner/config.json
333 Bytes
| { | |
| "_class_name": "AnimaTextConditioner", | |
| "_diffusers_version": "0.39.0.dev0", | |
| "min_sequence_length": 512, | |
| "mlp_ratio": 4.0, | |
| "model_dim": 1024, | |
| "num_attention_heads": 16, | |
| "num_layers": 6, | |
| "source_dim": 1024, | |
| "target_dim": 1024, | |
| "target_vocab_size": 32128, | |
| "use_layer_norm": false, | |
| "use_self_attention": true | |
| } | |