Instructions to use optimum-intel-internal-testing/tiny-stable-diffusion-torch-custom-variant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use optimum-intel-internal-testing/tiny-stable-diffusion-torch-custom-variant with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("optimum-intel-internal-testing/tiny-stable-diffusion-torch-custom-variant", 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:
- 635820c47d9e74fa63974a19d583634bbcba28e404dca4bb89a88aaa7f3c7ad0
- Size of remote file:
- 283 kB
- SHA256:
- 103860291b96610a23d9dda96f6a3c4e6c6dd67e5984a0d5e7c8e62769ac6412
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