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ming_image_0.1_design_int8_convrot.safetensors

The INT8 file of Ming-Image 0.1 Design. 6.2 GB on disk, about 8.5 GB of VRAM to run without offloading. In ComfyUI it goes in models/diffusion_models.

6.2 GBmodels/diffusion_modelsMing-Image
Fileming_image_0.1_design_int8_convrot.safetensors
ModelMing-Image 0.1 Design (image model, 6.15B)
PrecisionINT8
Size6.2 GB
VRAM to fitabout 8.5 GB
FolderComfyUI/models/diffusion_models/
Loader nodeLoad Diffusion Model (UNETLoader)
SourceComfy-Org/Ming-Image on Hugging Face

Download ming_image_0.1_design_int8_convrot.safetensors (6.2 GB)

Where to put it

Put the file in ComfyUI/models/diffusion_models/ (portable version: ComfyUI_windows_portable/ComfyUI/models/diffusion_models/). Older guides say models/unet: that folder still works. Press R in ComfyUI or restart it, then pick the file in Load Diffusion Model (UNETLoader). Not for Mac: FP8 and INT8 files do not load on Apple Silicon.

If a workflow says “Value not in list” for that node, the workflow expects a file with another name. Click the node and choose this one.

Which graphics cards it fits

VRAMThis fileBest file for that card (RTX 40/50)
6 GBOffload onlyShort by 2.5 GB: runs with part of it in system RAM, slowerMing-Image-0.1-Design-Q3_K_M.gguf (5.1 GB)
8 GBOffload onlyShort by 0.5 GB: runs with part of it in system RAM, slowerMing-Image-0.1-Design-Q3_K_M.gguf (5.1 GB)
10 GBRuns wellFits in VRAM, 1.5 GB to sparethis file
12 GBRuns wellFits in VRAM, 3.5 GB to sparethis file
16 GBRuns wellFits in VRAM, 7.5 GB to spareming_image_0.1_design_bf16.safetensors (12.3 GB)
20 GBRuns wellFits in VRAM, 11.5 GB to spareming_image_0.1_design_bf16.safetensors (12.3 GB)
24 GBRuns wellFits in VRAM, 15.5 GB to spareming_image_0.1_design_bf16.safetensors (12.3 GB)
32 GBRuns wellFits in VRAM, 23.5 GB to spareming_image_0.1_design_bf16.safetensors (12.3 GB)
48 GBRuns wellFits in VRAM, 39.5 GB to spareming_image_0.1_design_bf16.safetensors (12.3 GB)

Need = file × 1 + 1.5 GB for the picture and 0.8 GB for Windows and the browser — the same rule as the rest of the site. INT8 files do not load on a Mac (Apple Silicon); use a 16-bit or GGUF file there.

Measured with this exact file

GPUTimeSizeStepsPeak VRAMSource
RTX 5060 Ti 16 GB7.4 s per image1024x10241213.6 GBmeasured by me, 2026-10-04
RTX 5060 Ti 16 GB44.9 s per image2048x20481214.4 GBmeasured by me, 2026-10-04

Time = sampling + VAE decode, after a warm-up run. Peak VRAM = memory in use on the whole card. How I measure.

What else you need

This file alone does not make a picture. With it you load:

RoleFileSizeFolder
Modelming_image_0.1_design_int8_convrot.safetensors6.2 GBmodels/diffusion_models
Text encoderming_image_0.1_ling_mini_2.0_int8_convrot.safetensors19.5 GBmodels/text_encoders
VAEming_image_vae_bf16.safetensors0.3 GBmodels/vae

25.9 GB in total. Smaller text-encoder versions and other options are on the Ming-Image page.

Other files of Ming-Image

FilePrecisionSizeVRAM to fit
ming_image_0.1_design_bf16.safetensors16-bit12.3 GB14.6 GB
Ming-Image-0.1-Design-Q8_0.ggufQ8_07.3 GB9.6 GB
Ming-Image-0.1-Design-Q6_K.ggufQ6_K6.8 GB9.1 GB
ming_image_0.1_design_int8_convrot.safetensorsINT86.2 GB8.5 GB
Ming-Image-0.1-Design-Q5_K_M.ggufQ5_K_M6.2 GB8.5 GB
Ming-Image-0.1-Design-Q4_K_M.ggufQ4_K_M5.9 GB8.2 GB
Ming-Image-0.1-Design-Q3_K_M.ggufQ3_K_M5.1 GB7.4 GB
Ming-Image-0.1-Design-Q2_K.ggufQ2_K4.7 GB7.0 GB

Same model, different compression. 8-bit files (FP8, INT8, Q8_0) look almost the same as 16-bit; below Q5 the loss starts to show.

Free workflow with this file

Drag the .json into ComfyUI. All free workflows →

Want the answer for your exact card? Check your GPU. Every file of every model: ComfyUI model files.

Size and source read from Hugging Face (2026-10-01).