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 connector/model.safetensors from kingjones777/Ming-Image-0.1-Design-ROCm-INT8: direct link, hf CLI and curl.
- Browser
- Download file 3.09 GB
-
https://huggingface.co/kingjones777/Ming-Image-0.1-Design-ROCm-INT8/resolve/main/connector/model.safetensors
- Command line
-
hf download hf://kingjones777/Ming-Image-0.1-Design-ROCm-INT8/connector/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/kingjones777/Ming-Image-0.1-Design-ROCm-INT8/resolve/main/connector/model.safetensors
3.09 GB
- Xet hash:
- ef4bba0df20b3d86a76ea48f63ce8cbe484c23bc28aede11aa11e290899fe9e7
- Size of remote file:
- 3.09 GB
- SHA256:
- 1522edb909db45f90d3628aa5cb03805fba81aca1950dfe9385b057c6b636a47
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