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
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license: creativeml-openrail-m
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# Seek.art MEGA is a general use model that significanlty improves up on 1.5 across dozens of styles, by [seek.art](https://seek.art/)
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This model was trained on nearly 10k high-quality public domain digital artworks with the goal of improving output quality across the board. We find the model to be highly flexible in its ability to mix various styles, subjects, and details. We recommend resolutions above 640px in one or other dimensions for best results.
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license: creativeml-openrail-m
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# Seek.art MEGA is a general use model that significanlty improves up on 1.5 across dozens of styles, created by Coreco at [seek.art](https://seek.art/)
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This model was trained on nearly 10k high-quality public domain digital artworks with the goal of improving output quality across the board. We find the model to be highly flexible in its ability to mix various styles, subjects, and details. We recommend resolutions above 640px in one or other dimensions for best results.
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