Instructions to use s3nh/artwork-arcane-stable-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use s3nh/artwork-arcane-stable-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("s3nh/artwork-arcane-stable-diffusion", 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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I present you fine tuned model of stable-diffusion-v1-5, which heavily based of
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work of great artworks from Arcane.
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### Arcabe based Artwork Diffusion Model
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I present you fine tuned model of stable-diffusion-v1-5, which heavily based of
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work of great artworks from Arcane.
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