Instructions to use pinecoresystems/Ming-Image-0.1-Design with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pinecoresystems/Ming-Image-0.1-Design with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("pinecoresystems/Ming-Image-0.1-Design", 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
Download NOTICE from pinecoresystems/Ming-Image-0.1-Design: direct link, hf CLI and curl.
- Browser
- Download file 376 Bytes
-
https://huggingface.co/pinecoresystems/Ming-Image-0.1-Design/resolve/main/NOTICE
- Command line
-
hf download hf://pinecoresystems/Ming-Image-0.1-Design/NOTICE
-
curl -L -o NOTICE https://huggingface.co/pinecoresystems/Ming-Image-0.1-Design/resolve/main/NOTICE
376 Bytes
| Ming-Image-0.1-Design is an unmodified copy of inclusionAI/Ming-Image-0.1-Design (https://huggingface.co/inclusionAI/Ming-Image-0.1-Design), | |
| distributed under the MIT License as declared by its publisher. | |
| This repository is a mirror republished by TinyPine. The files are byte for byte those of the | |
| source repository. Not affiliated with or endorsed by the upstream authors. | |