Instructions to use AkiKagura/mkgen-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AkiKagura/mkgen-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AkiKagura/mkgen-diffusion", 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 AkiKagura/mkgen-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/AkiKagura/mkgen-diffusion/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://AkiKagura/mkgen-diffusion/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AkiKagura/mkgen-diffusion/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 7de2bd1ac6d0341baa6918e0f1095762d2bf8e5256507eb81f526c5c821b797e
- Size of remote file:
- 492 MB
- SHA256:
- 47317ac3cc39d9376f91f4fa5d5ed76b8a18219e550fa113d4a43bac319a32a3
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