Any-to-Any
Transformers
Diffusers
Safetensors
English
llada2_moe
feature-extraction
multimodal
image-generation
image-understanding
image-editing
diffusion
Mixture of Experts
text-to-image
custom_code
Instructions to use inclusionAI/LLaDA2.0-Uni with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inclusionAI/LLaDA2.0-Uni with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("inclusionAI/LLaDA2.0-Uni", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "min_pixels": 262144, | |
| "max_pixels": 4194304, | |
| "do_rescale": true, | |
| "do_normalize": true, | |
| "do_resize": false, | |
| "patch_size": 16, | |
| "temporal_patch_size": 1, | |
| "merge_size": 1, | |
| "image_mean": [0.5, 0.5, 0.5], | |
| "image_std": [0.5, 0.5, 0.5], | |
| "image_processor_type": "GlmImageImageProcessor", | |
| "processor_class": "GlmImageProcessor", | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098 | |
| } | |