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
- Draw Things
- DiffusionBee
- Xet hash:
- 735dbf7501d79d489d658cf3f4768b595d57fa7820baacf544ed80f84a4dd0a3
- Size of remote file:
- 492 MB
- SHA256:
- e8e5daced2daaeefcd0ff2c6b1be1bf6d854f40000eeecdc35f6c8c034115b8c
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