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 text_encoder/pytorch_model.bin from AIARTCHAN/MIX-Pro-V4: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/AIARTCHAN/MIX-Pro-V4/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://AIARTCHAN/MIX-Pro-V4/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AIARTCHAN/MIX-Pro-V4/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- c14badedbd27f05c72eeb0a703bfdda9c36daef0ffa2f7e88afc2aad413a5d63
- Size of remote file:
- 492 MB
- SHA256:
- ad4b1a5064654891e485fde567a97c42414f39d0c9017c9642fefef967dd766b
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