Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use saitsharipov/dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use saitsharipov/dog with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("saitsharipov/dog", 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 unet/diffusion_pytorch_model.bin from saitsharipov/dog: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/saitsharipov/dog/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://saitsharipov/dog/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/saitsharipov/dog/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 1e39850ffb2c31bc63d0d534c7db91f390bd23ff60341a58965f33d6894ab5f9
- Size of remote file:
- 3.44 GB
- SHA256:
- b733483ccffd8f12b2fb37c50c07bfb5e543764c0ea254e74520310720f99697
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