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
Upload NOTICE with huggingface_hub
Browse files
NOTICE
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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),
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distributed under the MIT License as declared by its publisher.
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This repository is a mirror republished by TinyPine. The files are byte for byte those of the
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source repository. Not affiliated with or endorsed by the upstream authors.
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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),
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distributed under the MIT License as declared by its publisher.
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This repository is a mirror republished by TinyPine. The files are byte for byte those of the
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source repository. Not affiliated with or endorsed by the upstream authors.
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