Instructions to use Nilaier/Waifu-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nilaier/Waifu-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Nilaier/Waifu-Diffusers", 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
Updated model type
Browse filesI genuinely have no idea what kind of model they've used, but Haru said that his WD 1.4 model was trained on 2.1, so maybe this one too? I have to stop thinking about it too much.
README.md
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## Model Description
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The current model has been fine-tuned on a
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That allows Waifu Diffusion v1.4 to handle different resolutions much better than its previous models.
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## Model Description
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The current model has been fine-tuned on a Stable Diffusion 2.1 model with 110k anime-styled images using a technique known as aspect ratio bucketing.
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That allows Waifu Diffusion v1.4 to handle different resolutions much better than its previous models.
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