Instructions to use coreco/seek.art_MEGA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use coreco/seek.art_MEGA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("coreco/seek.art_MEGA", 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
add gradio demo
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by akhaliq HF Staff - opened
README.md
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We also recommend an inference tool supporting prompt weighting and high resolution optimization / fixing for best results. We suggest [InvokeAI](https://github.com/invoke-ai/InvokeAI) as a sensibly licensed and fully featured open-source inference tool.
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### Examples
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<img src="https://huggingface.co/coreco/seek.art_MEGA/resolve/main/examples.png" style="max-width: 800px;" width="100%"/>
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We also recommend an inference tool supporting prompt weighting and high resolution optimization / fixing for best results. We suggest [InvokeAI](https://github.com/invoke-ai/InvokeAI) as a sensibly licensed and fully featured open-source inference tool.
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### Gradio
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We support a [Gradio](https://github.com/gradio-app/gradio) Web UI to run seek.art_MEGA:
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[](https://huggingface.co/spaces/akhaliq/seek.art_MEGA)
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### Examples
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<img src="https://huggingface.co/coreco/seek.art_MEGA/resolve/main/examples.png" style="max-width: 800px;" width="100%"/>
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