Image-Text-to-Text
MLX
Safetensors
English
qwen2_vl
mlx-vlm
apple-silicon
conversational
gui
vision-language-model
showui
gui-agents
vision-language-action
computer-use
grounding
6-bit
quantized
Instructions to use mlx-community/ShowUI-2B-6bit-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/ShowUI-2B-6bit-v2 with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("mlx-community/ShowUI-2B-6bit-v2") config = load_config("mlx-community/ShowUI-2B-6bit-v2") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 567 Bytes
7e2650b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | {
"do_convert_rgb": true,
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"image_mean": [
0.48145466,
0.4578275,
0.40821073
],
"image_processor_type": "Qwen2VLImageProcessor",
"image_std": [
0.26862954,
0.26130258,
0.27577711
],
"max_pixels": 12845056,
"merge_size": 2,
"min_pixels": 3136,
"patch_size": 14,
"processor_class": "Qwen2VLProcessor",
"resample": 3,
"rescale_factor": 0.00392156862745098,
"size": {
"max_pixels": 12845056,
"min_pixels": 3136
},
"temporal_patch_size": 2
}
|