Instructions to use Deci/DeciDiffusion-v1-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Deci/DeciDiffusion-v1-0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Deci/DeciDiffusion-v1-0", 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
- Draw Things
- DiffusionBee
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README.md
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- **Weights License:** The weights are released under the [CreativeML Open RAIL++-M License](https://huggingface.co/Deci/DeciDiffusion-v1-0/blob/main/LICENSE-WEIGHTS.md)
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### Model Sources
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- **Blog:** [A technical overview and comparison to Stable Diffusion 1.5](https://deci.ai/blog/decidiffusion-1-0-3x-faster-than-stable-diffusion-same-quality/)
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- **Demo:** [Experience DeciDiffusion in action](https://huggingface.co/spaces/Deci/DeciDiffusion-v1-0)
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## Model Architecture
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- **Weights License:** The weights are released under the [CreativeML Open RAIL++-M License](https://huggingface.co/Deci/DeciDiffusion-v1-0/blob/main/LICENSE-WEIGHTS.md)
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### Model Sources
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- **Blog:** [A technical overview and comparison to Stable Diffusion 1.5](https://deci.ai/blog/decidiffusion-1-0-3x-faster-than-stable-diffusion-same-quality/?utm_campaign=repos&utm_source=hugging-face&utm_medium=model-card&utm_content=decidiffusion-v1)
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- **Demo:** [Experience DeciDiffusion in action](https://huggingface.co/spaces/Deci/DeciDiffusion-v1-0)
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## Model Architecture
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