Upload app.py

app.py

@@ -90,6 +90,18 @@ SPATIAL_LORA_FILE = os.environ.get(
 )
 SPATIAL_LORA_SCALE = float(os.environ.get("H3_SPATIAL_LORA_SCALE", "0.4"))
 
+# HMBreasts V2: H3 anatomy adapter for chest size/shape control.
+# The weight is pulled directly from Hugging Face; there is no Civitai/API lookup.
+BREASTS_LORA_REPO = os.environ.get(
+    "H3_BREASTS_LORA_REPO",
+    "Hearmeman/minimax-h3-loras",
+)
+BREASTS_LORA_FILE = os.environ.get(
+    "H3_BREASTS_LORA_FILE",
+    "HMBreastsV2.safetensors",
+)
+BREASTS_LORA_SCALE = float(os.environ.get("H3_BREASTS_LORA_SCALE", "1.0"))
+
 CONDITIONER_SPACE = os.environ.get("H3_CONDITIONER", "multimodalart/qwen3vl-conditioner")
 # ``pack`` places the transformer at startup (66 GB on disk via the spaces pack); VAEs move on first GPU call.
 PLACEMENT = os.environ.get("H3_PLACEMENT", "pack").lower()
@@ -529,6 +541,13 @@ def load_and_apply_extra_loras(transformer) -> list[str]:
             "Spatial & Physics LoRA",
             SPATIAL_LORA_SCALE,
         ),
+        _apply_extra_lora(
+            transformer,
+            BREASTS_LORA_REPO,
+            BREASTS_LORA_FILE,
+            "HMBreasts V2 LoRA",
+            BREASTS_LORA_SCALE,
+        ),
     ]
 
 # ── Model loading ───────────────────────────────────────────────────────────