Any-to-Any
Transformers
Diffusers
Safetensors
text-to-image
image-editing
image-understanding
vision-language
multimodal
autoregressive
unified-model
Instructions to use Skywork/UniPic2-Metaquery-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Skywork/UniPic2-Metaquery-9B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Skywork/UniPic2-Metaquery-9B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_class_name": "StableDiffusion3Conditioner", | |
| "_diffusers_version": "0.35.0.dev0", | |
| "connector_config": { | |
| "_attn_implementation": "flash_attention_2", | |
| "hidden_size": 1536, | |
| "intermediate_size": 8960, | |
| "num_attention_heads": 24, | |
| "num_hidden_layers": 24 | |
| }, | |
| "joint_attention_dim": 4096, | |
| "llm_hidden_size": 3584, | |
| "num_queries": 256, | |
| "pooled_projection_dim": 2048 | |
| } | |