Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use Chenhsing/sdxl-part-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Chenhsing/sdxl-part-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Chenhsing/sdxl-part-model", 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:
- add8c16fada327e72b8b67c17b3d5f987b7791ed219693c113cbcd9b22f872a9
- Size of remote file:
- 1.27 MB
- SHA256:
- 6cb69dacb0552aa4dee3efbbee3df7877166e80231c10df29edd293b12b693ce
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