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 unet/diffusion_pytorch_model.bin from emilianJR/KenCanMix_V2: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/emilianJR/KenCanMix_V2/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://emilianJR/KenCanMix_V2/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/emilianJR/KenCanMix_V2/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- c31a127ce8584211de49b900f5e64e67cc73f7d15fea3ac332faa0a4854554eb
- Size of remote file:
- 3.44 GB
- SHA256:
- 8963b6452f16f1260038a1ed561e5db31451aa65b2de05bcff0e8bab254bc708
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