Instructions to use ckpt/anything-v3-vae-swapped with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ckpt/anything-v3-vae-swapped with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ckpt/anything-v3-vae-swapped", 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
Commit History
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Add `scale_factor` to vae config. (#2)
- Add `scale_factor` to vae config. (39173f7b4fa66fae9b144c88373933e207d64004) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>45af84d
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ckpt and pt
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