Instructions to use hf-internal-testing/tinier-stable-diffusion-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tinier-stable-diffusion-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/tinier-stable-diffusion-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
- Draw Things
- DiffusionBee
- Xet hash:
- 9e577617eb20b1206453b90e5585f7e45a789e94c89a7d105ccab943729531e7
- Size of remote file:
- 72.9 kB
- SHA256:
- 145d87e5f6478a44619b9be0964b9d4b7ea34ae9a442d1f3909b9a5d22591f8e
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