Instructions to use openskyml/overall-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openskyml/overall-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/overall-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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@@ -32,6 +32,6 @@ The model was trained using Dreambooth Training based on the Stable Diffusion 1.
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- **Developed by:** [OpenSkyML](https://hf.co/openskyml)
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- **Model type:** [Text-to-Image](https://huggingface.co/models?pipeline_tag=text-to-image&sort=trending)
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- **License:** [Overall License]()
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#### Read more on [our paper]()
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- **Developed by:** [OpenSkyML](https://hf.co/openskyml)
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- **Model type:** [Text-to-Image](https://huggingface.co/models?pipeline_tag=text-to-image&sort=trending)
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- **License:** [Overall License](https://huggingface.co/openskyml/overall-v1/blob/main/OVERALL-LICENSE.txt)
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#### Read more on [our paper](https://huggingface.co/openskyml/overall-v1/blob/main/assets/papers/en.md)
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