Unverified50% confidenceFactExact time
The tester used a standard ComfyUI workflow configured with the ref2va int8 pruned base model, 1.2MP resolution, 20 steps, on a single RTX 5090.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/28/2026
First Seen
Valid until: 12/27/2026
Sources
Related Entities
Related Claims
UnverifiedThis test used the minimax_h3_fl2va_int8_convrot model running on a ComfyUI workflow.70% similarUnverifiedThe test device is a 128G compute module (referred to in the video as the Thor T5000) claimed to have performance twice that of the NVIDIA DGX Spark.67% similarUnverifiedThe RTX 6000 Ada's fourth-generation Tensor Cores support FP8 precision computation.65% similarUnverifiedComfyUI-INT4-Fast is a custom node package that brings INT4 (W4A4) quantized inference into the ComfyUI ecosystem, enabling even a 6GB VRAM RTX 3060 to run Flux-based Krea2 Turbo models.65% similarUnverifiedFor those pursuing maximum inference speed or running larger models, it is recommended to consider the RTX 4090, A6000, or newer Ada architecture cards.64% similar
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