Instructions to use lilpotat/urp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lilpotat/urp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lilpotat/urp", 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
ckpt
Browse files
uberRealisticPornMer_urpMv1_ema.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:1a4d731ca67e6615ac9685e5d60717d8036d638a6ee5485e1dceb79fcf0eb266
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size 4265355622
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