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
- Draw Things
- DiffusionBee

- Xet hash:
- 4020f2f0eb1c0ab9737f27e140e045ca17b8839f489fb9eb66ab44e417c6de11
- Size of remote file:
- 1.21 MB
- SHA256:
- d14b3faa3a324f8f5e2cb52720e72ba60d03eb78e880d2ea5622d45eae43eeb9
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