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/e2e_daily_grind.png from kingjones777/Ming-Image-0.1-Design-ROCm-INT8: direct link, hf CLI and curl.
- Browser
- Download file 1.08 MB
-
https://huggingface.co/kingjones777/Ming-Image-0.1-Design-ROCm-INT8/resolve/main/samples/e2e_daily_grind.png
- Command line
-
hf download hf://kingjones777/Ming-Image-0.1-Design-ROCm-INT8/samples/e2e_daily_grind.png
-
curl -L -o e2e_daily_grind.png https://huggingface.co/kingjones777/Ming-Image-0.1-Design-ROCm-INT8/resolve/main/samples/e2e_daily_grind.png
1.08 MB

- Xet hash:
- f3dabd7f164b1f2cc1dbd3275a982e5f94de28afb79a60785db6023719195516
- Size of remote file:
- 1.08 MB
- SHA256:
- 654d8f20a74959a987db7ea306c03618762f07a103fefdef39305818db2e91e8
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