Instructions to use Muapi/dance-art with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/dance-art with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/dance-art") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- af23fd3fc02c80d5497c7ad46a07e14850c64cefcfbb398893b86cbffd7a3f33
- Size of remote file:
- 200 kB
- SHA256:
- 4151c461d1610fb439356e3de94c7c6b498ce11e2db0925ed1ef4627e7cb8a4c
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