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:
- 6711eaf2ee8e7eb63c02229c896b4298940f9fbc75aec62e2f21e728c1404555
- Size of remote file:
- 6.59 MB
- SHA256:
- 6a701b86f06f1d6f582c8483b6453a2d1b43c47bc2ada2269eeaf17a790d3408
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