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.fp16.bin from osanseviero/widget-outputs-example: direct link, hf CLI and curl.
- Browser
- Download file 1.72 GB
-
https://huggingface.co/osanseviero/widget-outputs-example/resolve/main/unet/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://osanseviero/widget-outputs-example/unet/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/osanseviero/widget-outputs-example/resolve/main/unet/diffusion_pytorch_model.fp16.bin
1.72 GB
- Xet hash:
- 30885914ed2cc676740bd1e6b24f0c1d62fbb4a6d3b8efdfce26ad1ed2bcf997
- Size of remote file:
- 1.72 GB
- SHA256:
- 30eb3dc47c90e4a55476332b284b2331774c530edbbb83b70cacdd9e7b91af92
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