Instructions to use nitrosocke/Arcane-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nitrosocke/Arcane-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("nitrosocke/Arcane-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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license: creativeml-openrail-m
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This is the fine-tuned Stable Diffusion model trained on images from the TV Show Arcane.
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Use the tokens
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license: creativeml-openrail-m
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---
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This is the fine-tuned Stable Diffusion model trained on images from the TV Show Arcane.
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Use the tokens: ```arcane style``` in your prompts for the effect.
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Sample images used for training:
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Sample images from the model:
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