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I tested native Uni3C ControlNet in ComfyUI on an RTX 3090: point-cloud camera rendering in Docker plus Wan 2.1 generation. Two real blockers fixed.
We tested the 4 most popular Z-Image Turbo fine-tunes with the same prompt and seed. Real finding: 2 of the 4 change pose and gaze, not just skin texture.
We tested three ways to condition a generation in ComfyUI with Krea 2: prompt, reference (ReferenceLatent) and mask. One did nothing -- pixel diff of zero.
We compared Z-Image Turbo in bf16 against its GGUF Q8_0 quantization in ComfyUI, same prompt and seed. GGUF wins on VRAM, but by far less than the 50% disk savings.
We tested all 9 official Krea 2 style LoRAs with the same prompt, seed and parameters in ComfyUI, with and without their trigger phrase. Includes the real finding: without the trigger, 7 of the 9 lose their specific character and converge to a similar generic style.
We tested COMFYCLAW, the research agent that edits ComfyUI graphs and self-corrects with a visual verifier, using Claude Code as backend on an RTX 3090.
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