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 transformer/diffusion_pytorch_model-00001-of-00005.safetensors from kingjones777/Ming-Image-0.1-Design-ROCm-INT8: direct link, hf CLI and curl.
- Browser
- Download file 2.99 GB
-
https://huggingface.co/kingjones777/Ming-Image-0.1-Design-ROCm-INT8/resolve/main/transformer/diffusion_pytorch_model-00001-of-00005.safetensors
- Command line
-
hf download hf://kingjones777/Ming-Image-0.1-Design-ROCm-INT8/transformer/diffusion_pytorch_model-00001-of-00005.safetensors
-
curl -L -o diffusion_pytorch_model-00001-of-00005.safetensors https://huggingface.co/kingjones777/Ming-Image-0.1-Design-ROCm-INT8/resolve/main/transformer/diffusion_pytorch_model-00001-of-00005.safetensors
2.99 GB
- Xet hash:
- 0a23fe2bf0dbe27f1fabdb780bb73d8fc526fa964ae8be02c84cb7c0f8b2d788
- Size of remote file:
- 2.99 GB
- SHA256:
- 1488ae867d45a4c184fa0df9fde68d8f7bd9c2dea52b611b77fc6bbd685d9d70
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