Fix GGUFQuantizationConfig import + pin diffusers 0.33 (LTX2 + GGUF)

app.py

@@ -81,7 +81,11 @@ def _download_gguf(dest: str) -> str:
 
 def _build_transformer(gguf_path: str):
     from diffusers import AutoModel
-    from diffusers.utils import GGUFQuantizationConfig
+
+    try:
+        from diffusers.utils import GGUFQuantizationConfig
+    except ImportError:  # newer diffusers moved it under utils.quantization_config
+        from diffusers.utils.quantization_config import GGUFQuantizationConfig
 
     kwargs = dict(
         quantization_config=GGUFQuantizationConfig(compute_dtype=torch.bfloat16),

requirements.txt

@@ -1,7 +1,9 @@
 # For ZeroGPU, gradio/spaces/huggingface_hub/torch are preinstalled and
 # platform-managed; the Dockerfile installs them explicitly.
-diffusers>=0.33
-transformers>=4.46
+# Pinned to 0.33: LTX2 pipelines + GGUFQuantizationConfig both live here;
+# newer diffusers moved GGUFQuantizationConfig out of diffusers.utils.
+diffusers==0.33.0
+transformers==4.49.0
 accelerate>=1.0
 gguf
 safetensors