Text-to-Image
Diffusers
ONNX
Safetensors
OpenVINO
English
StableDiffusionXLPipeline
stable-diffusion-xl
stable-diffusion-xl-diffusers
stable-diffusion
Instructions to use aegon-h/sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aegon-h/sdxl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aegon-h/sdxl", 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:
- 1c2b2199419a697452c3742e0646f7f60774e7cd6d9c2fc2db2d5c064e3b02ee
- Size of remote file:
- 2.78 GB
- SHA256:
- 5ea09303caf1385a6701d372684c246755cd23f546bfdec2fb1038b5a7891c57
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