Blender to ComfyUI AI Renderer 2.0 Workflow | Cinematic Video Output

Turn Blender renders into rich, cinematic AI-driven animations fast.

Who it's for: creators who want this pipeline in ComfyUI without assembling nodes from scratch. Not for: one-click results with zero tuning — you still choose inputs, prompts, and settings.

Open preloaded workflow on RunComfy

Open preloaded workflow on RunComfy (browser)

Why RunComfy first
- Fewer missing-node surprises — run the graph in a managed environment before you mirror it locally.
- Quick GPU tryout — useful if your local VRAM or install time is the bottleneck.
- Matches the published JSON — the zip follows the same runnable workflow you can open on RunComfy.

When downloading for local ComfyUI makes sense — you want full control over models on disk, batch scripting, or offline runs.

How to use (local ComfyUI)
1. Load inputs (images/video/audio) in the marked loader nodes.
2. Set prompts, resolution, and seeds; start with a short test run.
3. Export from the Save / Write nodes shown in the graph.

Expectations — First run may pull large weights; cloud runs may require a free RunComfy account.

Overview

Transform your Blender animations into cinematic AI outputs with this workflow. It reads depth, outline, and auxiliary passes to generate motion-consistent video sequences. Designed for animators and VFX artists, it accelerates the creative process while preserving structure and motion. Enjoy precise prompt control, visual fidelity, and seamless motion transfer. Perfect for creating polished, AI-rendered animations with detailed scenes and natural flow.

Important nodes:

Key nodes in Comfyui Blender to ComfyUI AI Renderer 2.0 workflow

• WanVacePhantomSimpleV2 (#3255)

• Orchestrates the Wan 2.1 VACE generation by routing model, VAE, prompts, control video, and reference frames. Adjust only the essentials: working width and height to match your control, and sequence length to match the target shot. If you use several strong references, keep prompts descriptive rather than over‑specific to avoid fighting the reference guidance.

• WanVideoVACEStartToEndFrame (#3261)

• Builds the control video that VACE follows. Provide a start image, optional end or reference stack, and the preprocessed control video. Set the number of frames using the Wan rule of 4n+1 so trimming stays consistent through the sampler; this avoids off‑by‑one artifacts at the tail.

• PreprocessSwitch (#3239)

• Selects which control feed reaches the sampler. Toggle between original frames, depth, canny, or pose depending on what you exported from Blender or built in Preprocess. Use depth when you need spatial fidelity, canny for clean composition control, and pose for character‑focused motion.

• VHS_LoadVideo (#93)

• Handles video ingest and exposes frame properties used across the graph. It is the reliable way to keep fps and sizing consistent from Blender through to render. If you need to trim or skip heads and tails, do it here so all downstream paths remain aligned.

• KSampler (#3253)

• Produces the final latent sequence given the Wan model and conditioning. If you change guidance strength or the sampler method, recheck the first and last 10 frames for stability, then render the full shot.

Notes

Blender to ComfyUI AI Renderer 2.0 Workflow | Cinematic Video Output — see RunComfy page for the latest node requirements.