I Ran 112 MiniMax H3 Tests on an RTX 3090 — Searching for the “Golden” Settings

I ran a 112-case MiniMax H3 quality sweep on an RTX 3090 last night trying to find the best combos . Kept the prompt, seed, reference image, RefMods, Sage setup, sampler, and scheduler stayed constant. I changed only the model/LoRA combination, native resolution, and step count. Anyone else have their golden combo? Hardware/software: - GPU: NVIDIA RTX 3090 - System RAM: 32 GB DDR4 - CUDA: 13.0 - ComfyUI: 0.34.4 - PyTorch: 2.9.1+cu130 Tested: - 0.4, 0.6, 0.8, and 0.98 MP - 6, 8, 10, and 12 steps - 7 model/LoRA combinations - 1-second requested duration per run Models Tested - C1 = minimax_h3_fused_refdelta_r1024_turbo8_mystic07_int8_convrot + no LoRA - C2 = Minimax_H3_fl2va_Pruned_Lightx2v_turbo_4step_v1.2_768p_INT8_comfyui + no LoRA - C3 = Minimax_H3_FL2VA_PRUNED_Turbo_8step_v1.0_768p_comfyui_INT8 + no LoRA https://huggingface.co/saejon/MinimaxH3/tree/main C4 = minimax_h3_ref2va_pruned_int8_convrot + minimax_h3_fl2v_turbo_4step_v1.1_768p_comfyui_bf16 - C5 = minimax_h3_ref2va_pruned_int8_convrot + minimax_h3_fl2v_turbo_4step_v1.2_768p_comfyui_bf16 - C6 = minimax_h3_ref2va_pruned_int8_convrot + minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16 - C7 = minimax_h3_ref2va_pruned_int8_convrot + minimax_h3_turbo_v4_step600_ema Best-looking result at each resolution - 0.4 MP: C4, 12 steps — approximately 246 seconds - 0.6 MP: C3, 12 steps — approximately 271 seconds - 0.8 MP: C3, 10 steps — approximately 256 seconds - 0.98 MP: C3, 12 steps — approximately 337 seconds Best speed/quality balance C3 at 0.8 MP and 6 steps rendered in approximately 166 seconds. However the audio wasn't good the 8 steps at 210 seconds turned out to be best.. submitted by /u/badincite [link] [comments]

Source: r/StableDiffusion | 2026-09-07

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