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:
- a47965c1fb2cdf5500d1c94e059d35680f9eba105484dfb878a18d7d15f38eee
- Size of remote file:
- 3.28 MB
- SHA256:
- 8c6f2fb4ea26c4bf8e32048f933171636fc61f62121bdcd1d66c4283db7f4a9f
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