Descriptions:
Nerdy Rodent runs a direct head-to-head comparison between FireRed Image Edit 1.0 and the Qwen Image Edit 2511 base model inside ComfyUI, using an FP8 quantized version of FireRed (sourced from Dr. BAF on Hugging Face) to fit within a 24 GB VRAM budget on an RTX 3090. The channel’s “rodent method” workflow — color-coded node groups for readability — is used throughout, encoding images via the latent encode method to avoid pixel shift and preserve output dimensions.
The key finding is that FireRed introduces a consistent whole-image pixel shift that the base Qwen model does not, and this shift persists whether using the four-step Lightning LoRA, the eight-step variant, or no LoRA at all — ruling out the LoRA as the cause. On the plus side, FireRed produces marginally better teeth generation and slightly less lip distortion in the test case (removing a mustache from a fish image). For creative transformation prompts like “the fish is swimming upwards toward the ocean surface,” FireRed performs credibly.
A secondary finding is LoRA ecosystem compatibility: while FireRed accepts Qwen Image Edit LoRAs such as the Lightning speed LoRA, the Next Scene LoRA produces noticeably degraded quality, suggesting FireRed’s compatibility with the broader Qwen LoRA library is inconsistent. The conclusion is that Qwen Image Edit 2511 remains the stronger choice for most workflows, particularly when LoRA reuse and pixel stability are priorities.
📺 Source: Nerdy Rodent · Published February 22, 2026
🏷️ Format: Comparison
