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:
- 31769bb7ef315e32890fc6917d515d89af5c8e0b6cb2c5f262cc4345c44bf11d
- Size of remote file:
- 510 kB
- SHA256:
- 63345491b6ffd48f743ad008a2982f5ad434cc9bdea2803eed9db10063f1c747
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