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:
- 9904eca92f4bc4545a2dc3e6495f1c77ae549a02dfd2576f41440d68942575f0
- Size of remote file:
- 428 kB
- SHA256:
- c28d190ba5729c3bff3dfdfe0526cd8a9d64b448dd940311e52de761406e5cba
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