Instructions to use hawkwang/alvan_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hawkwang/alvan_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("hawkwang/alvan_model") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 594b245572bacfeb85a9dda39a25a8c768bd17edde72f193f7759aea3bb0bb5e
- Size of remote file:
- 6.58 MB
- SHA256:
- a318de13515c13878e4e1a069420f69bd883854f727701d76061004a6acbcc81
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