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
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Download README.md from pinecoresystems/Ming-Image-0.1-Design: direct link, hf CLI and curl.
- Browser
- Download file 2 kB
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https://huggingface.co/pinecoresystems/Ming-Image-0.1-Design/resolve/main/README.md
- Command line
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hf download hf://pinecoresystems/Ming-Image-0.1-Design/README.md
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curl -L -o README.md https://huggingface.co/pinecoresystems/Ming-Image-0.1-Design/resolve/main/README.md
2 kB
| license: mit | |
| base_model: inclusionAI/Ming-Image-0.1-Design | |
| # Ming-Image-0.1-Design (ungated mirror) | |
| Mirror of [inclusionAI/Ming-Image-0.1-Design](https://huggingface.co/inclusionAI/Ming-Image-0.1-Design), republished by TinyPine so its apps can | |
| install it from a repository under their own control. **The files are unmodified, byte for byte | |
| those of the source repository**; verify by comparing each file's sha256 against the source's LFS | |
| oid. Only the files TinyPine downloads are included: `assets/showcase.webp`, `assets/transparency_showcase.webp`, `assets/uiux_leaderboard.webp`, `connector/config.json`, `connector/generation_config.json`, `connector/model-00001-of-00002.safetensors`, `connector/model-00002-of-00002.safetensors`, `connector/model.safetensors.index.json`, `mllm/config.json`, `mllm/model-00001-of-00007.safetensors`, `mllm/model-00002-of-00007.safetensors`, `mllm/model-00003-of-00007.safetensors`, `mllm/model-00004-of-00007.safetensors`, `mllm/model-00005-of-00007.safetensors`, `mllm/model-00006-of-00007.safetensors`, `mllm/model-00007-of-00007.safetensors`, `mllm/model.safetensors.index.json`, `mllm/preprocessor_config.json`, `mllm/special_tokens_map.json`, `mllm/tokenizer.json`, `mllm/tokenizer_config.json`, `mlp/config.json`, `mlp/model.safetensors`, `scheduler/scheduler_config.json`, `transformer/config.json`, `transformer/diffusion_pytorch_model-00001-of-00005.safetensors`, `transformer/diffusion_pytorch_model-00002-of-00005.safetensors`, `transformer/diffusion_pytorch_model-00003-of-00005.safetensors`, `transformer/diffusion_pytorch_model-00004-of-00005.safetensors`, `transformer/diffusion_pytorch_model-00005-of-00005.safetensors`, `transformer/diffusion_pytorch_model.safetensors.index.json`, `vae/config.json`, `vae/diffusion_pytorch_model.safetensors`. | |
| Licence: MIT License. See `LICENSE` / `NOTICE` in this repository. The upstream model card is | |
| kept verbatim as `UPSTREAM-README.md`. | |
| Not affiliated with or endorsed by the upstream authors. | |