Instructions to use Anzhc/NAFNet-QwenVAE-DeGrid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Anzhc/NAFNet-QwenVAE-DeGrid with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Anzhc/NAFNet-QwenVAE-DeGrid", 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
Refer to https://huggingface.co/DraconicDragon/NAFNet-VAE-DeGrid for all descriptions :doro:
Just a little finetune, only slightly better. Trained on roughly similarly sized set of anime and realism (including film shots).

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