Instructions to use emilianJR/KenCanMix_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use emilianJR/KenCanMix_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("emilianJR/KenCanMix_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 emilianJR/KenCanMix_V2: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/emilianJR/KenCanMix_V2/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://emilianJR/KenCanMix_V2/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/emilianJR/KenCanMix_V2/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- d676323683fb728c7e4f7467ce5a0634c3dd6dbf6b4d64c2ab8b5b3c7dd15aec
- Size of remote file:
- 335 MB
- SHA256:
- ba15996ac361e9084d72fb1dd276fa04939f6ddae0bf7f7a6df2d9fc1cea5ba3
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