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:
- 7fedac56fef9571b4a77e403a65c0e6331a526e863bdb843ad9e347c4843dd47
- Size of remote file:
- 68.4 MB
- SHA256:
- 4e188888e37e2327648a16b32a589fed5c514501437fedb4aeb591475d6e5655
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