Blender + ComfyUI: Generate Cinematic Chess Scene with AI

Title: Blender + ComfyUI Pipeline for Cinematic Scene Generation Budget: $50 Fixed Experience Level: Entry Level I'm learning AI-assisted animation pipelines and need a starter workflow to study. SCOPE: 1. BLENDER SCRIPT Write a Python script that: - Creates a 3D chess board with pieces from a FEN string - Exports a grayscale depth map render from one camera angle - Exports a normal map render from the same camera angle - No materials, no textures, no humans — just geometry and depth 2. COMFYUI WORKFLOW Provide a JSON workflow that: - Takes the depth map + normal map from Blender as input - Uses ControlNet (Depth + Normal) to control scene layout - Generates a photorealistic chess scene with a non-specific human character sitting at the board - Character should look like a generic person, not a specific real individual - Uses IP-Adapter for general style guidance (not faceID) - Outputs one high-quality image DELIVERABLES: - Blender .py script with comments - ComfyUI workflow .json file - One screenshot showing the workflow running on your machine I DO NOT NEED: - A specific real person's likeness - Video animation - Deepfake or face-swap capabilities - Anything violating platform policies This is purely for learning how ControlNet + IP-Adapter pipelines work with Blender-generated geometry. TO APPLY: 1. Share a screenshot of a ComfyUI workflow you've built 2. Tell me which ControlNet models you recommend for depth control 3. Confirm you can test on your own machine before delivering