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 Settings
- Draw Things
- DiffusionBee
enable inference widget
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by akhaliq HF Staff - opened
README.md
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license: creativeml-openrail-m
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This is a Stable Diffusion model trained on Yoji Shinkawa's artworks from Metal Gear Solid and Death Stranding game series.
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This was made with dreambooth extension for Automatic 111 using 47 images and 4000 steps.
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language:
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- en
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license: creativeml-openrail-m
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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inference: true
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This is a Stable Diffusion model trained on Yoji Shinkawa's artworks from Metal Gear Solid and Death Stranding game series.
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This was made with dreambooth extension for Automatic 111 using 47 images and 4000 steps.
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