Use /runpod-volume mount point for RunPod network volumes

RunPod mounts network volumes at /runpod-volume, not /userdata.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

CLAUDE.md

@@ -11,7 +11,7 @@ ComfyUI-based image-to-video generation service deployed on RunPod Serverless. A
 ```
 RunPod API Request → handler.py → ComfyUI Server (port 8188) → GPU Inference → Response
                                         ↓
-                              Network Volume (/userdata) for models
+                              Network Volume (/runpod-volume) for models
 ```
 
 **Key flow in handler.py:**
@@ -38,7 +38,7 @@ CI/CD via Gitea Actions triggers on push to `main` branch.
 
 ```bash
 docker run --gpus all -p 8188:8188 \
-  -v /path/to/models:/userdata/models \
+  -v /path/to/models:/runpod-volume/models \
   comfyui-runpod:latest
 ```
 
@@ -77,7 +77,7 @@ docker run --gpus all -p 8188:8188 \
 
 ## Key Considerations
 
-- Models stored on RunPod Network Volume at `/userdata/models/`
+- Models stored on RunPod Network Volume at `/runpod-volume/models/`
 - Cold start ~30-60s for ComfyUI initialization
 - Large outputs (>10MB) returned as file paths, not base64
 - Workflow files in `workflows/` directory (API format)

Dockerfile

@@ -104,26 +104,27 @@ RUN (cd ComfyUI-KJNodes && pip install -r requirements.txt || true) && \
     rm -rf /root/.cache/pip /tmp/*
 
 # Create directories and symlinks to network volume
+# RunPod mounts network volumes at /runpod-volume
 WORKDIR /workspace/ComfyUI
-RUN mkdir -p /userdata/models/checkpoints \
-    /userdata/models/loras \
-    /userdata/models/vae \
-    /userdata/models/controlnet \
-    /userdata/models/clip \
-    /userdata/models/upscale_models \
-    /userdata/.cache/huggingface \
+RUN mkdir -p /runpod-volume/models/checkpoints \
+    /runpod-volume/models/loras \
+    /runpod-volume/models/vae \
+    /runpod-volume/models/controlnet \
+    /runpod-volume/models/clip \
+    /runpod-volume/models/upscale_models \
+    /runpod-volume/.cache/huggingface \
     /workspace/.cache
 
-# Symlink model directories to /userdata
-RUN rm -rf models/checkpoints && ln -s /userdata/models/checkpoints models/checkpoints && \
-    rm -rf models/loras && ln -s /userdata/models/loras models/loras && \
-    rm -rf models/vae && ln -s /userdata/models/vae models/vae && \
-    rm -rf models/controlnet && ln -s /userdata/models/controlnet models/controlnet && \
-    rm -rf models/clip && ln -s /userdata/models/clip models/clip && \
-    rm -rf models/upscale_models && ln -s /userdata/models/upscale_models models/upscale_models
+# Symlink model directories to /runpod-volume
+RUN rm -rf models/checkpoints && ln -s /runpod-volume/models/checkpoints models/checkpoints && \
+    rm -rf models/loras && ln -s /runpod-volume/models/loras models/loras && \
+    rm -rf models/vae && ln -s /runpod-volume/models/vae models/vae && \
+    rm -rf models/controlnet && ln -s /runpod-volume/models/controlnet models/controlnet && \
+    rm -rf models/clip && ln -s /runpod-volume/models/clip models/clip && \
+    rm -rf models/upscale_models && ln -s /runpod-volume/models/upscale_models models/upscale_models
 
 # Symlink HuggingFace cache
-RUN ln -s /userdata/.cache/huggingface /workspace/.cache/huggingface
+RUN ln -s /runpod-volume/.cache/huggingface /workspace/.cache/huggingface
 
 # Copy handler and workflows
 WORKDIR /workspace

handler.py

@@ -454,7 +454,7 @@ def handler(job: dict) -> dict:
             # Check size for video files
             if output_info["type"] == "video" and len(data) > 10 * 1024 * 1024:
                 # For large videos, save to network volume and return path
-                output_path = Path("/userdata/outputs") / output_info["filename"]
+                output_path = Path("/runpod-volume/outputs") / output_info["filename"]
                 output_path.parent.mkdir(parents=True, exist_ok=True)
                 output_path.write_bytes(data)
                 results.append({