Instructions to use wangjian21/eagle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/eagle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("wangjian21/eagle") prompt = "eagle" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- ab6beebc1037c0136f8f6c85d13ca07339cf018a91919fce19a48f5e1d356895
- Size of remote file:
- 402 kB
- SHA256:
- ff8875f9326abe2cfb78cbb977ae67e6b6c1467b3c4f1ee695946bbc22981934
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