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", 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:
- 2a599fa34aa7621109b3bc559fdf6186a45d5736eb4eca3f830eb878ce95a8a1
- Size of remote file:
- 3.29 MB
- SHA256:
- 0ed90af9487ce210264b10641e9a5f2b23117ba650eed4d746740664d3e2bbf6
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