Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use osanseviero/widget-outputs-example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use osanseviero/widget-outputs-example with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("osanseviero/widget-outputs-example", dtype=torch.bfloat16, device_map="cuda") prompt = "Nice cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download unet/diffusion_pytorch_model.bin from osanseviero/widget-outputs-example: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/osanseviero/widget-outputs-example/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://osanseviero/widget-outputs-example/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/osanseviero/widget-outputs-example/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- be98b3e3402fefed90921692141daee2a4c2adc739ba570cd9fb0f1262376ced
- Size of remote file:
- 3.44 GB
- SHA256:
- c7da0e21ba7ea50637bee26e81c220844defdf01aafca02b2c42ecdadb813de4
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