Any-to-Any
Transformers
Diffusers
Safetensors
text-to-image
image-editing
image-understanding
vision-language
multimodal
unified-model
teacher-model
diffusion
Instructions to use Skywork/Unipic3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Skywork/Unipic3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Skywork/Unipic3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_class_name": "QwenImageEditPipeline", | |
| "_diffusers_version": "0.35.0.dev0", | |
| "processor": [ | |
| "transformers", | |
| "Qwen2VLProcessor" | |
| ], | |
| "scheduler": [ | |
| "diffusers", | |
| "FlowMatchEulerDiscreteScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "Qwen2_5_VLForConditionalGeneration" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "Qwen2Tokenizer" | |
| ], | |
| "transformer": [ | |
| "diffusers", | |
| "QwenImageTransformer2DModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKLQwenImage" | |
| ] | |
| } | |