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:
- 9026aad96d5ac8c0b948f662fe9030601b3e93c2d8c8a549dda00e09538f8647
- Size of remote file:
- 99 MB
- SHA256:
- 94bf86a568389001c97902981acbaac159a8f4287974ce22c14352e042e3f523
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