Instructions to use Nbardy/stable-diffusion-unclip-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nbardy/stable-diffusion-unclip-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Nbardy/stable-diffusion-unclip-diffusers", 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:
- 9d3a68e45523d7450447de4a67f3827d5570b8775d9a5cd9d0409ccf59103377
- Size of remote file:
- 3.46 GB
- SHA256:
- 721e0a2e3b08dd8cbb3c6fec41b107731e471a2b4a37acebb138e5fd5b7e34e5
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