Instructions to use udg/hdxx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use udg/hdxx 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/hdxx", 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:
- be9925c775e6b4f4fecd7a7261beb7b4cf22339d2490c2b169410ae6f23f63a0
- Size of remote file:
- 335 MB
- SHA256:
- 4a7212ccf6f76070efa644d7160e4eb529385b48d7bacc8611cf38360bda65fb
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