Instructions to use KawaiiApp/anythinv3-vae-handler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KawaiiApp/anythinv3-vae-handler with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KawaiiApp/anythinv3-vae-handler", 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
Update requirements.txt
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requirements.txt
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transformers
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ftfy
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accelerate
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diffusers@git+https://github.com/gamingflexer/diffusers
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transformers
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ftfy
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accelerate
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diffusers@git+https://github.com/gamingflexer/diffusers
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diffusers==0.11.1
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