Text-to-Image
Diffusers
ONNX
ORTStableDiffusionXLPipeline
unpaint
stable_diffusion_model
stable-diffusion
Instructions to use axodoxian/stable_diffusion_xl_base_onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use axodoxian/stable_diffusion_xl_base_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_xl_base_onnx", 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
Add readme
Browse files
README.md
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---
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pipeline_tag: text-to-image
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tags:
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- unpaint
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- stable_diffusion_model
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- stable-diffusion
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- onnx
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library_name: diffusers
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model_description:
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- repo: stabilityai/stable-diffusion-xl-base-1.0
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---
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This is a Microsoft Olive optimized ONNX version of the model found here: https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0
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