Instructions to use atsushi015/hypernetwork-quality-tags with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use atsushi015/hypernetwork-quality-tags with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("atsushi015/hypernetwork-quality-tags", 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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# quality-tags
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A hypernetwork dedicated for quality enhancing (instead of using quality tags
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*(2025/03/09) Updated. 7th Layers compatible.*
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# quality-tags
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A hypernetwork dedicated for quality enhancing (instead of using quality tags)
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This hypernetwork is dedicated for replacing quality enhancer prompts such as "((masterpiece)), (ultra detailed eyes)" etc.
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*(2025/03/09) Updated. 7th Layers compatible.*
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