Instructions to use Comfy-Org/Ming-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use Comfy-Org/Ming-Image with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Please upload - qwen3.8_27b_w4a8_convrot_qhead_mtp.safetensors
Please upload - qwen3.8_27b_w4a8_convrot_qhead_mtp.safetensors
It is this model https://huggingface.co/Comfy-Org/Qwen3.8-27B/blob/main/text_encoders/qwen3.8_27b_w4a8.safetensors
I have been using it but this model doesn't seem to support mtp
It is this model https://huggingface.co/Comfy-Org/Qwen3.8-27B/blob/main/text_encoders/qwen3.8_27b_w4a8.safetensors
I have been using it but this model doesn't seem to support mtp
Double checked and it definitely has the mtp layers.
Kijai is correct. qwen3.8_27b_w4a8.safetensors has MTP support.
By the way, I didn't rely solely on qwen3.8_27b_w4a8.safetensors for this workflow. To generate the precise prompt structure, or rather, the required JSON file I used Llama.cpp running Qwen 3.6. This is actually my go-to local combination now, and I regularly use it to write text and craft highly structured scripts and prompts for video models like LTX 2.5 and MiniMax H3. Having this kind of local pipeline gives you unmatched flexibility. Best of all, I run this entire setup on a completely standard RTX 3060 12GB. And I can get around 50t/sec for Qwen 3.6 35B MoE quant.

