Instructions to use lantianai/Anything_V3_DDIM_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lantianai/Anything_V3_DDIM_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("lantianai/Anything_V3_DDIM_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 Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.bin from lantianai/Anything_V3_DDIM_Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/lantianai/Anything_V3_DDIM_Diffusers/resolve/refs%2Fpr%2F2/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://lantianai/Anything_V3_DDIM_Diffusers@refs/pr/2/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/lantianai/Anything_V3_DDIM_Diffusers/resolve/refs%2Fpr%2F2/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- b5faa7ec9064a81c30d92dbe103fd25e1acaad8384c900887bccf244d7ad7bf5
- Size of remote file:
- 335 MB
- SHA256:
- 4ede7dc689878cfa4bfdb1811e39cd30d097616e4d321ffa63b9fa24b10486b8
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