Instructions to use naclbit/trinart_stable_diffusion_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use naclbit/trinart_stable_diffusion_v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("naclbit/trinart_stable_diffusion_v2", 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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README.md
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## Please Note!
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This model is NOT the 19.2M images Characters Model on TrinArt, but an improved version of the original
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The first version of characters model has been publicly released on https://huggingface.co/naclbit/trinart_characters_19.2m_stable_diffusion_v1
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## Diffusers
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## Please Note!
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This model is NOT the 19.2M images Characters Model on TrinArt, but an improved version of the original Trin-sama Twitter bot model. This model is intended to retain the original SD's aesthetics as much as possible while nudging the model to anime/manga style.
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Other TrinArt models can be found at:
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https://huggingface.co/naclbit/trinart_derrida_characters_v2_stable_diffusion
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https://huggingface.co/naclbit/trinart_characters_19.2m_stable_diffusion_v1
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## Diffusers
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