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
- Draw Things
- DiffusionBee
quality-tags
A hypernetwork dedicated for quality enhancing (instead of using quality tags)
This hypernetwork model is intended for replacing quality annotation tags like 4K, ultra-detailed, masterpiece etc...
You can use this model to make detailed art style images without these tags.
(2025/03/09) Updated. 7th Layers compatible.
Example image informations.
Prompt: 1 girl, white hat with blue ribbon, whire summer dress, corsage, sea, beach, sunlight
Base model: 7th_Anime_v3
Note that the prompt doesn't contains tags which suggesting about qualities.
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Model tree for atsushi015/hypernetwork-quality-tags
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hakurei/waifu-diffusion