Local image generation on Mac: 10 models compared (SD 1.5 → Flux dev → Qwen-Image → Gemini)

Reddit r/LocalLLaMA / 5/3/2026

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Key Points

The article compares 10 local image-generation models on a Mac (M1 Max, 64GB) using criteria like photorealism, text rendering, and cultural accuracy, including Japanese/Asian prompts.
Qwen-Image Lightning using 8-step distillation delivered higher-quality outputs than its full model while running about 9x faster (around 10 minutes vs 93 minutes for the tested workload).
Flux dev ranked as the top local option for photorealism, but it showed a strong English-centric bias that distorted culturally specific details (e.g., changing Japanese food/places into non-Japanese equivalents).
Gemini produced the best kanji rendering and stronger cultural context, but it runs in the cloud rather than locally.
SDXL Turbo was extremely fast (about 5 seconds) but had noticeably rougher image quality, and the author found the biggest surprise was the large cultural-accuracy gap likely tied to training-data geography rather than model size.

Tested 10 image generation models on M1 Max 64GB for photorealism, text rendering, and cultural accuracy (Japanese/Asian content).

Key findings:

Qwen-Image Lightning (8-step distillation) beats the full model in quality while being 9x faster (10min vs 93min)
Flux dev is the best local model for photorealism, but has strong English-centric bias (puts cilantro in ramen, turns izakayas into teahouses)
Gemini nails kanji rendering and cultural context, but it's cloud
SDXL Turbo generates in 5 seconds but quality is rough

The cultural accuracy gap surprised me most. Training data geography matters way more than model size for non-English content.

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