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 mlp/config.json from pinecoresystems/Ming-Image-0.1-Design: direct link, hf CLI and curl.
- Browser
- Download file 330 Bytes
-
https://huggingface.co/pinecoresystems/Ming-Image-0.1-Design/resolve/main/mlp/config.json
- Command line
-
hf download hf://pinecoresystems/Ming-Image-0.1-Design/mlp/config.json
-
curl -L -o config.json https://huggingface.co/pinecoresystems/Ming-Image-0.1-Design/resolve/main/mlp/config.json
330 Bytes
| { | |
| "use_identity_mlp": true, | |
| "use_vlm_directvlm_condition": true, | |
| "use_learnable_token_condition": true, | |
| "diffusion_c_input_dim": 2560, | |
| "text_encoder_norm": false, | |
| "connector_norm": false, | |
| "img_gen_scales": [ | |
| 16 | |
| ], | |
| "selected_hidden_states_layers": [ | |
| 5, | |
| 12, | |
| 20 | |
| ], | |
| "diffusion_inner_dim": 3840 | |
| } | |