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", 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
- Xet hash:
- 5ea897ca0dccfbbeba0d30fcb5a43242ac8287dd9d0f4d07352cbeeba60dcd38
- Size of remote file:
- 5.74 MB
- SHA256:
- c69e435ef37a4e0fe3471d2c9488924bdf534cb51c08e9450420784d53336d73
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