feat(progress): gradio progress(track_tqdm=True) on all three handlers

DiffSynth uses tqdm for the diffusion step loop and RealESRGAN uses it for
the tile pass. Adding gr.Progress(track_tqdm=True) as a keyword parameter
on the three on_*_generate handlers lets Gradio auto-capture both without
threading a progress object through backend/modes.

app.py

@@ -106,7 +106,19 @@ def _esrgan_path() -> str:
     return hf_hub_download("lllyasviel/Annotators", "RealESRGAN_x4plus.pth")
 
 
-def on_t2i_generate(prompt, negative_prompt, model, steps, cfg, width, height, seed, lora_path, lora_strength):
+def on_t2i_generate(
+    prompt,
+    negative_prompt,
+    model,
+    steps,
+    cfg,
+    width,
+    height,
+    seed,
+    lora_path,
+    lora_strength,
+    progress=gr.Progress(track_tqdm=True),  # noqa: B008
+):
     try:
         lora_p = _coerce_lora(lora_path)
     except lora_mod.LoRAValidationError as e:
@@ -128,7 +140,17 @@ def on_t2i_generate(prompt, negative_prompt, model, steps, cfg, width, height, s
     return image, meta
 
 
-def on_controlnet_generate(prompt, input_image, preprocessor, controlnet_scale, steps, seed, lora_path, lora_strength):
+def on_controlnet_generate(
+    prompt,
+    input_image,
+    preprocessor,
+    controlnet_scale,
+    steps,
+    seed,
+    lora_path,
+    lora_strength,
+    progress=gr.Progress(track_tqdm=True),  # noqa: B008
+):
     try:
         lora_p = _coerce_lora(lora_path)
     except lora_mod.LoRAValidationError as e:
@@ -148,7 +170,16 @@ def on_controlnet_generate(prompt, input_image, preprocessor, controlnet_scale,
     return image, meta
 
 
-def on_upscale_generate(prompt, input_image, refine_steps, refine_denoise, seed, lora_path, lora_strength):
+def on_upscale_generate(
+    prompt,
+    input_image,
+    refine_steps,
+    refine_denoise,
+    seed,
+    lora_path,
+    lora_strength,
+    progress=gr.Progress(track_tqdm=True),  # noqa: B008
+):
     try:
         lora_p = _coerce_lora(lora_path)
     except lora_mod.LoRAValidationError as e:

tests/test_modes.py

@@ -79,9 +79,16 @@ def test_t2i_swaps_transformer_via_pool_index(fake_pipe):
     modes.call_t2i(
         fake_pipe,
         params=dict(
-            prompt="x", negative_prompt="", model="Base",
-            steps=25, cfg=4.0, width=1024, height=1024, seed=0,
-            lora_path=None, lora_strength=0.0,
+            prompt="x",
+            negative_prompt="",
+            model="Base",
+            steps=25,
+            cfg=4.0,
+            width=1024,
+            height=1024,
+            seed=0,
+            lora_path=None,
+            lora_strength=0.0,
         ),
     )
     assert fake_pipe.dit is base_dit
@@ -89,9 +96,16 @@ def test_t2i_swaps_transformer_via_pool_index(fake_pipe):
     modes.call_t2i(
         fake_pipe,
         params=dict(
-            prompt="x", negative_prompt="", model="Turbo",
-            steps=8, cfg=1.0, width=1024, height=1024, seed=0,
-            lora_path=None, lora_strength=0.0,
+            prompt="x",
+            negative_prompt="",
+            model="Turbo",
+            steps=8,
+            cfg=1.0,
+            width=1024,
+            height=1024,
+            seed=0,
+            lora_path=None,
+            lora_strength=0.0,
         ),
     )
     assert fake_pipe.dit is turbo_dit