Instructions to use AIARTCHAN/MIX-Pro-V4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AIARTCHAN/MIX-Pro-V4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AIARTCHAN/MIX-Pro-V4", 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 AIARTCHAN/MIX-Pro-V4: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/AIARTCHAN/MIX-Pro-V4/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://AIARTCHAN/MIX-Pro-V4/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/AIARTCHAN/MIX-Pro-V4/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 0eb2ceb4cbd1b77ff8fa8f79e96081aeccacaad56283a2aa0e0126ce3298876c
- Size of remote file:
- 335 MB
- SHA256:
- 23386bc3f77b4e81a866f67d47906e49a3e93c1e7baf6c4cd8539c35c7af04a6
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