Instructions to use diffusers/tiny-stable-diffusion-torch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/tiny-stable-diffusion-torch with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/tiny-stable-diffusion-torch", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from diffusers/tiny-stable-diffusion-torch: direct link, hf CLI and curl.
- Browser
- Download file 254 Bytes
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https://huggingface.co/diffusers/tiny-stable-diffusion-torch/resolve/main/README.md
- Command line
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hf download hf://diffusers/tiny-stable-diffusion-torch/README.md
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curl -L -o README.md https://huggingface.co/diffusers/tiny-stable-diffusion-torch/resolve/main/README.md
254 Bytes
metadata
license: apache-2.0
duplicated_from: hf-internal-testing/tiny-stable-diffusion-torch
from diffusers import StableDiffusionPipeline
pipe = StableDiffusionPipeline.from_pretrained("hf-internal-testing/tiny-stable-diffusion-torch")