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:
- 77679e28782684b12c8618265302283be2c46e81091709e43292915aecd8e8dd
- Size of remote file:
- 6.59 MB
- SHA256:
- 0df2e1f9f085da08529585f80ef94d9c003d2b6ce4172cd89476b23a131bd030
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