Image-Text-to-Image
Transformers
Safetensors
qwen3_vl
image-text-to-text
sdnq
hidream-o1-image
qwen3vl
image-generation
4-bit precision
Instructions to use WaveCut/HiDream-O1-Image-Dev-SDNQ-4bit-dynamic-uint4-th1e-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WaveCut/HiDream-O1-Image-Dev-SDNQ-4bit-dynamic-uint4-th1e-2 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("WaveCut/HiDream-O1-Image-Dev-SDNQ-4bit-dynamic-uint4-th1e-2") model = AutoModelForMultimodalLM.from_pretrained("WaveCut/HiDream-O1-Image-Dev-SDNQ-4bit-dynamic-uint4-th1e-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 21,991 Bytes
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