Instructions to use udg/dhperxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use udg/dhperxl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("udg/dhperxl", torch_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:
- caf394b1e845f64cfd6694ad1b75e05057496fe6303404b6d09f91ea29c0adbf
- Size of remote file:
- 335 MB
- SHA256:
- 4b80f2539240f14ee6c9c8dd78bcfadc754e72d7e971fc960a02cde99494dfa1
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