Instructions to use Evel/YoShin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Evel/YoShin with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Evel/YoShin", 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
Update README.md
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This was made with dreambooth extension for Automatic 111 using 47 images and 4000 steps.
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This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage. The CreativeML OpenRAIL License specifies:
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You can't use the model to deliberately produce nor share illegal or harmful outputs or content
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This was made with dreambooth extension for Automatic 111 using 47 images and 4000 steps.
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License:
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This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage. The CreativeML OpenRAIL License specifies:
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You can't use the model to deliberately produce nor share illegal or harmful outputs or content
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