Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use bartuso/path_to_saved_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bartuso/path_to_saved_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("bartuso/path_to_saved_model", 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 bartuso/path_to_saved_model: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/bartuso/path_to_saved_model/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://bartuso/path_to_saved_model/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/bartuso/path_to_saved_model/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- a7910f54f2079eb91821dd845c28e67f264d779e904cda6d57d1608690f7d18b
- Size of remote file:
- 3.44 GB
- SHA256:
- 9930dabcf3904160d010eddbb72317b85fe3e02d1faf333202a726891c6c6f0c
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