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:
- 0ee606750fcc77bcf4096684d6fabfd0f59ea84c6f303cee33331a1403933e03
- Size of remote file:
- 3.44 GB
- SHA256:
- c2f545a4f544f7e86f0105d6b3477aaed3e00003f6fd1985337f48fab7c4db8b
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