Text-to-Image
Diffusers
ONNX
OnnxStableDiffusionPipeline
unpaint
stable_diffusion_model
stable-diffusion
Instructions to use axodoxian/stable_diffusion_onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use axodoxian/stable_diffusion_onnx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("axodoxian/stable_diffusion_onnx", torch_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:
- 002c9e8301f4b369e5089c25a962245e903a592ce8dc71ee8dec9f482dcde34b
- Size of remote file:
- 99.1 MB
- SHA256:
- 9343d86c48db111b79685281e9d760c65e71fefe46a6175bba7aef6996e5059e
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