Instructions to use hf-internal-testing/tiny-sd35-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-sd35-pipe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-sd35-pipe", 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
Download vae/diffusion_pytorch_model.safetensors from hf-internal-testing/tiny-sd35-pipe: direct link, hf CLI and curl.
- Browser
- Download file 22.7 kB
-
https://huggingface.co/hf-internal-testing/tiny-sd35-pipe/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-sd35-pipe/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/hf-internal-testing/tiny-sd35-pipe/resolve/main/vae/diffusion_pytorch_model.safetensors
22.7 kB
- Xet hash:
- 1a3ef970dd9e77c752344a9cc7f75f5a246378555e545a81eae2841d843a1607
- Size of remote file:
- 22.7 kB
- SHA256:
- 1540138f8b1fb8927b746d7fdd94204ad18a8343da29e26b212c417c1a718351
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.