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StableDiffusionPipeline
open-diffusion
od-v1
openskyml
Instructions to use openskyml/open-diffusion-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openskyml/open-diffusion-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("openskyml/open-diffusion-v1", 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
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README.md
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### Model Sources
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- **Repository:** [click](https://huggingface.co/openskyml/open-diffusion-v1/tree/main)
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- **Demo
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## Uses
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### In Free Inference API:
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### Model Sources
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- **Repository:** [click](https://huggingface.co/openskyml/open-diffusion-v1/tree/main)
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- **Demo:**
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- [demo with Gradio](https://huggingface.co/spaces/openskyml/open-diffusion)
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- [demo with Docker](https://huggingface.co/spaces/openskyml/open-diffusion-docker)
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## Uses
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### In Free Inference API:
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