Instructions to use EnD-Diffusers/OsenayanMixPDXL_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/OsenayanMixPDXL_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("EnD-Diffusers/OsenayanMixPDXL_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
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 8ca725b60bf4bf616758423696e6a1627bc4c92064b71e86551daf25c5d8ded3
- Size of remote file:
- 246 MB
- SHA256:
- 3adf81d9cc0f9da6ca7a3a6bf7312753a36daa14eef40dd16271020e74d02d63
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