Instructions to use gustavokch/urpm-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gustavokch/urpm-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("gustavokch/urpm-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
- Xet hash:
- c63f5450af838b00e1384b3fb4f0006d198acaa3f3e77500fa8b9c97bbaa8151
- Size of remote file:
- 492 MB
- SHA256:
- d8e24759ac6c07fb68add14899bc187f1163615b6303f12100c9dbfc72ac5a3a
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