Instructions to use stablediffusionapi/kimchimix-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/kimchimix-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/kimchimix-v2", 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 stablediffusionapi/kimchimix-v2: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/stablediffusionapi/kimchimix-v2/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/kimchimix-v2/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/stablediffusionapi/kimchimix-v2/resolve/main/vae/diffusion_pytorch_model.bin
167 MB
- Xet hash:
- 462d301a53310cf1f4fc8195363e674939ed93abedc8c81a9145c751207d6963
- Size of remote file:
- 167 MB
- SHA256:
- d8d7fba3d336e3c96e0464e5b1b3a50951c5c38c41253d43c856d37acc72972f
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