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.caption.txt from kingjones777/Ming-Image-0.1-Design-ROCm-INT8: direct link, hf CLI and curl.
- Browser
- Download file 232 Bytes
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https://huggingface.co/kingjones777/Ming-Image-0.1-Design-ROCm-INT8/resolve/da1a4ff1b61a121919dae02d5bf151eca7aa316c/samples/e2e_daily_grind.caption.txt
- Command line
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hf download hf://kingjones777/Ming-Image-0.1-Design-ROCm-INT8@da1a4ff1b61a121919dae02d5bf151eca7aa316c/samples/e2e_daily_grind.caption.txt
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curl -L -o e2e_daily_grind.caption.txt https://huggingface.co/kingjones777/Ming-Image-0.1-Design-ROCm-INT8/resolve/da1a4ff1b61a121919dae02d5bf151eca7aa316c/samples/e2e_daily_grind.caption.txt
232 Bytes
| A landing page hero section for a coffee subscription service called Daily Grind: the headline Fresh beans every Monday, a short tagline, a Start your subscription button, and a photo of latte art on the right. Warm earthy palette. | |