Update README.md

README.md

@@ -59,7 +59,7 @@ pipeline_tag: text-to-image
   - Training Speed (Benchmark: 39 imgs, 0.26MP, r16):
     - OneTrainer: 910 steps, 1.12 s/it (`Local Batch Size: 3, LR: 0.0003`) → ~0.37s/img (17m 43s)
     - Fizgig(Batch-Size: Not Supported): 2730 steps, 1.25 it/s (`Gradient Accumulation: 3, LR: 0.0001`) → ~0.83s/img (36m 17s)
-    - Fizgig-Advanced(Batch-Size: Supported): 910 steps, 2.08 s/it (`Batch Size: 3, LR: 0.0003`) → ~0.69s/img (31m 10s)
+    - Fizgig-Advanced(Batch-Size: Supported): 910 steps, 2.07 s/it (`Batch Size: 3, LR: 0.0003`) → ~0.69s/img (31m 20s)
     - *(Note on Speed & Formats: OneTrainer used the official sharded Diffusers format (bfloat16), while Fizgig used the ComfyUI single-file format (int8). Although int8/fp8 usually compute faster on modern GPUs, the benchmark shows Fizgig is slower here—likely due to software-level framework overheads. Fizgig also supports the original bf16 Diffusers shards.)*
   - Showcase & Card Image Parameters:
     - Model: -