Update app.py

app.py

@@ -41,7 +41,10 @@ LORA_REPO = os.environ.get("H3_LORA_REPO", "dagloop5/LoRA")
 # Each entry is (repo, filename) so a LoRA can come from any repo, not just LORA_REPO — the two Lightx2v files
 # live in lightx2v/Minimax-h3-Turbo, not dagloop5/LoRA.
 LORA_FILES = {
-    "lora1": (LORA_REPO, os.environ.get("H3_LORA_1_FILE", "minimax_h3_turbo_v4_step600_ema.safetensors")),
+    "lora1": (
+        os.environ.get("H3_LORA_I_REPO", "alibaba-pai/MiniMax-H3-Acc-LoRAs"),
+        os.environ.get("H3_LORA_I_FILE", "MiniMax-H3-FL2VA-Acc-8Step.safetensors"),
+    ),
     "loraa": (LORA_REPO, os.environ.get("H3_LORA_A_FILE", "Mylo_lora_epoch31.safetensors")),
     "lorab": (LORA_REPO, os.environ.get("H3_LORA_B_FILE", "VBVR_H3_attn_only.safetensors")),
     "lorac": (LORA_REPO, os.environ.get("H3_LORA_C_FILE", "HM-AIO-V2.5.safetensors")),
@@ -62,7 +65,7 @@ LORA_FILES = {
 # Display names, keyed the same as LORA_FILES — used in the UI slider labels, the per-request report line, and
 # the status line's failure list. Keep these two dicts' keys in sync when adding a LoRA.
 LORA_LABELS = {
-    "lora1": "Larryvrh-MiniMax-H3 Turbo LoRA",
+    "lora1": "MiniMax-H3-FL2VA-Acc-8Step",
     "loraa": "Anthro Enhancer",
     "lorab": "Reasoning Enhancer",
     "lorac": "HM-AIO", # hmmotion
@@ -1161,7 +1164,7 @@ with gr.Blocks(title="PlagueKind · MiniMax-H3") as demo:
             report = gr.Markdown()
             with gr.Accordion("Distilled / Turbo LoRAs", open=False):
                 lora_1_strength = gr.Slider(
-                    label="Larryvrh-MiniMax-H3 Turbo LoRA",
+                    label="MiniMax-H3-FL2VA-Acc-8Step",
                     minimum=0.0,
                     maximum=2.0,
                     step=0.05,