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 text_encoder_3/model.safetensors from hf-internal-testing/tiny-sd35-pipe: direct link, hf CLI and curl.
- Browser
- Download file 277 kB
-
https://huggingface.co/hf-internal-testing/tiny-sd35-pipe/resolve/main/text_encoder_3/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-sd35-pipe/text_encoder_3/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-sd35-pipe/resolve/main/text_encoder_3/model.safetensors
277 kB
- Xet hash:
- 7bef57c065e82970ba8267567498335ad1a48164b3cf684a38781b5299ecc37c
- Size of remote file:
- 277 kB
- SHA256:
- a3ff1d3d80459481c9847d35de9a618835224139a4de455b40fcfe6f8544193b
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