Instructions to use kebab111/kemonoGDXN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kebab111/kemonoGDXN with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kebab111/kemonoGDXN", 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 text_encoder/pytorch_model.bin from kebab111/kemonoGDXN: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/kebab111/kemonoGDXN/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://kebab111/kemonoGDXN/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kebab111/kemonoGDXN/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- a5d63c05e89285723c9042c7edd41db5f878bad59cd1b85f695d57c93b81a13d
- Size of remote file:
- 492 MB
- SHA256:
- 15d49c9ff6b464c9e00dfd75e2c357a373d6bc1c87cad5c96b0b6adb3af821b1
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