Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use patrickvonplaten/dog-example-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use patrickvonplaten/dog-example-demo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("patrickvonplaten/dog-example-demo", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.bin from patrickvonplaten/dog-example-demo: direct link, hf CLI and curl.
- Browser
- Download file 2.68 MB
-
https://huggingface.co/patrickvonplaten/dog-example-demo/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://patrickvonplaten/dog-example-demo/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/patrickvonplaten/dog-example-demo/resolve/main/vae/diffusion_pytorch_model.bin
2.68 MB
- Xet hash:
- f46eb80f349a53298a9f48bed2a60438895abb4ff786998db2261991be5e9c34
- Size of remote file:
- 2.68 MB
- SHA256:
- c72dcad38b28b1a0c043f0e0063feb9e303782f7898c6167af3a5652ecbc1cb5
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