Instructions to use kingjones777/Ming-Image-0.1-Design-ROCm-INT8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kingjones777/Ming-Image-0.1-Design-ROCm-INT8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kingjones777/Ming-Image-0.1-Design-ROCm-INT8", 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 samples/poster_jazz.png from kingjones777/Ming-Image-0.1-Design-ROCm-INT8: direct link, hf CLI and curl.
- Browser
- Download file 609 kB
-
https://huggingface.co/kingjones777/Ming-Image-0.1-Design-ROCm-INT8/resolve/main/samples/poster_jazz.png
- Command line
-
hf download hf://kingjones777/Ming-Image-0.1-Design-ROCm-INT8/samples/poster_jazz.png
-
curl -L -o poster_jazz.png https://huggingface.co/kingjones777/Ming-Image-0.1-Design-ROCm-INT8/resolve/main/samples/poster_jazz.png
609 kB

- Xet hash:
- 8d830aeaa35c2e570fae96e801da55897eb909865203ebe8fe091f906a97fe97
- Size of remote file:
- 609 kB
- SHA256:
- 1e7083ba5d40fb97b4269148b127f780a21aae6c7ebc534adb3c1ffc6fd7b3b5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.