kingjones777/Ming-Image-0.1-Design-ROCm-INT8

text-to-image model by kingjones777

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inclusionAI/Ming-Image-0.1-Design (text-to-image for UI, posters and infographics, RGBA output) made to run on AMD ROCm, with the routed experts of its 17B-parameter MoE language model stored as weight-only INT8, and wired to the prompt enhancer its model card names: Ling-3.0-flash-VL (served from our ROCmFP4 build). Everything below was measured on one AMD Ryzen AI Max+ 395 (Radeon 8060S, gfx1151) — see Reproduction. Nothing here was run on CUDA. Inference on this box is deterministic: the same prompt and seed produced a byte-identical PNG twice, in BF16 and in INT8, so every difference below is caused by the quantization (or by the fast-attention option), not by run-to-run noise. cos / rel L2 compare the conditioning tensors the diffusion transformer receives (the MLLM output — the only part that is quantized). SSIM is windowed 7×7 on luminance; PSNR over RGB. PYTHON=/path/to/python selects the interpreter (it needs a ROCm build of PyTorch and…

kingjones777/Ming-Image-0.1-Design-ROCm-INT8 on Hugging Face A short preview, not the full document.

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Model overview

kingjones777/Ming-Image-0.1-Design-ROCm-INT8 is a text-to-image model repository published by kingjones777 on Hugging Face. The source reports the diffusers library.

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Model facts

Task: text-to-image
Library: diffusers
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: 6,154,901,056
Architecture: Not reported
License: mit
Access: Not gated by Hugging Face
Created: 2026-09-23T06:14:38.000Z
Last modified: 2026-09-23T06:17:30.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: inclusionAI/Ming-Image-0.1-Design

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