Instructions to use mrcuddle/URPM-SD2.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mrcuddle/URPM-SD2.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mrcuddle/URPM-SD2.1", 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:
- 2dee5e090966aab90d8aab1a7bf61f7642228e9db9740fc508615b56f47a6c12
- Size of remote file:
- 335 MB
- SHA256:
- b0a47fc5b948ea4c837e342e50c781ebfd64b9d913ee8553af920a40bd004e77
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