Instructions to use cdefghijkl/karedok with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cdefghijkl/karedok with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cdefghijkl/karedok", 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
- Xet hash:
- d82aa83d56b0304ee07969a45e105531b14e9c5fc63496e9279dccd4839689d2
- Size of remote file:
- 492 MB
- SHA256:
- b1e4c88beca148f9e21121b49747f8c2113df1c2669aadcc03ac891ae0399ac7
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