Instructions to use GDAOSU/Olbedo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GDAOSU/Olbedo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GDAOSU/Olbedo", 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
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## 🎫 License
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This code of this work is licensed under the Apache License, Version 2.0 (as defined in the [LICENSE](LICENSE.txt)).
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The Marigold pretrained and fine-tuned models are licensed under RAIL++-M License (as defined in the [LICENSE-MODEL](LICENSE-MODEL.txt)).
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The RGBX pretrained and fine-tuned models are licensed under ADOBE RESEARCH LICENSE(as defined in the [LICENSE-ADOBE](LICENSE-ADOBE.txt)).
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By downloading and using the code and
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## 🎫 License
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The dataset associated with this work is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0) (as defined in [LICENSE-DATA](LICENSE-DATA.txt)).
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This code of this work is licensed under the Apache License, Version 2.0 (as defined in the [LICENSE](LICENSE.txt)).
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The Marigold pretrained and fine-tuned models are licensed under RAIL++-M License (as defined in the [LICENSE-MODEL](LICENSE-MODEL.txt)).
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The RGBX pretrained and fine-tuned models are licensed under ADOBE RESEARCH LICENSE(as defined in the [LICENSE-ADOBE](LICENSE-ADOBE.txt)).
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By downloading and using the dataset, code and models you agree to the terms in [LICENSE-DATA](LICENSE-DATA.txt), [LICENSE](LICENSE.txt), [LICENSE-MODEL](LICENSE-MODEL.txt), and [LICENSE-ADOBE](LICENSE-ADOBE.txt) respectively.
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