Instructions to use metric-space/test-test-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use metric-space/test-test-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("metric-space/test-test-diffusion", 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:
- 28f536c0be6136834814e5265ae4a64bf81ef0d61ba12de9ba15379e059f385e
- Size of remote file:
- 1.72 GB
- SHA256:
- 1022e163a3097297dc4bf6a5a4f2f649aac507e86e93bc4ba423baaf9ad495d2
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