Instructions to use Jeroenvv1985/URPM13_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jeroenvv1985/URPM13_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("Jeroenvv1985/URPM13_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:
- c31e6ea69f2129cde3af5e81d618a63e0d546826a340ab3221f5b95c02d634e6
- Size of remote file:
- 492 MB
- SHA256:
- beda061b7f18999847d5d2dce355d85b40e7b0e6ea75d7897c99a3ab093d115f
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