Instructions to use Ocean3/NuElement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ocean3/NuElement with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Ocean3/NuElement", 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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# Recipes
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## Nu Element 1
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| Model A | Model B | Hash (B) | Merge Type | Alpha | Sum | Weights |
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# License & Use
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This model is open access and available to all, with a [**modified CreativeML OpenRAIL-M**](https://huggingface.co/dreamlike-art/dreamlike-diffusion-1.0/blob/main/LICENSE.md) license further specifying rights and usage.
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# Recipes
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<img src="https://huggingface.co/Ocean3/NuElement/resolve/main/img/img5.png" title=recipes>
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## Nu Element 1
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# License & Use
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<img src="https://huggingface.co/Ocean3/NuElement/resolve/main/img/img6.png" title=recipes>
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This model is open access and available to all, with a [**modified CreativeML OpenRAIL-M**](https://huggingface.co/dreamlike-art/dreamlike-diffusion-1.0/blob/main/LICENSE.md) license further specifying rights and usage.
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