Instructions to use WhiteAiZ/PonyXL_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WhiteAiZ/PonyXL_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("WhiteAiZ/PonyXL_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:
- b8a88047756635031b17b20df05d95e116ab0c36dc19f6e7c793c0358a8ddf48
- Size of remote file:
- 2.78 GB
- SHA256:
- ed9e41e821d5f0df9ddd480ba3fa18d5bc8b4412ad9a85179a186593135b4e4b
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