Generation Specs Cloud DiT

Sampler euler

Scheduler simple

Steps 25

CFG Scale 1

Seed 42

Target VRAM 16GB

VRAM 12GB - 16GB

GPU Compatibility

Optimal Performance

Runs entirely in VRAM with no memory swapping.

MiniMax H3 & TensorRT 11.4 FP16 BSRGANx2 2K Video Upscale Base: Gemini Video Min 12GB VRAM 1440×2560 Cloud Render

The Godfather: English Bulldog Edition - Born Great 2K Video

Cinematic mob boss portrait of an English Bulldog Don Corleone speaking "Great men are not born great, they grow great." 2K restoration via local patch LaMa inpainting and TensorRT 11.4 True FP16 BSRGANx2.

Blueprint Summary Cloud Pipeline

Two-stage video restoration pipeline upscaling 720p Gemini footage to 1440×2560 @ 24fps on an RTX 4070 (12GB VRAM) using patch LaMa watermark inpainting and TensorRT 11.4 True FP16 BSRGANx2.

Pipeline Flow 6 Nodes

Open in Resolver

01 Conditioning

CLIPTextEncode

1 prompt encodings

02 KSampler

MiniMaxSampler

DiT latent denoising

Execution DAG Topology Interactive Visualizer

Drag to pan · Scroll to zoom · Hover wires

Model & Asset Setup Setup Script

Run in your ComfyUI root:

curl -fsSL https://decomfy.com/api/scripts/godfather-bulldog-born-great-2k.sh | bash

Positive Prompt

The English Bulldog mob boss in his tailored bespoke pinstripe suit sits calmly in the vintage leather armchair, leaning forward with chilling stern authority and calculating wisdom. Faint wisps of blue tobacco smoke drift from his lit cigar as his heavy jowls and mouth move deliberately, speaking in a deep raspy voice: "Great men are not born great, they grow great." A slow menacing cinematic camera push-in, chiaroscuro 35mm film noir lighting, extreme tactile detail, photorealistic live-action movie masterpiece

Negative Prompt

unclothed, disrobed, lowres, blurry, bad anatomy, deformed hands, extra fingers, cartoon, 3d render, watermark

Prompt Customization: This workflow is pre-wired and calibrated. Swap this prompt with your own character, subject, or style without breaking the pipeline.

Required Models 0 Models

Required Storage: 0 MB (0 models · No external weights required)

Field Notes Cloud Benchmark

Benchmark: Rendered & upscaled to 2K (1440x2560 @ 24fps) via TensorRT 11.4 FP16 BSRGANx2 on RTX 4070 (883.9 ms/frame)

1. Two-Tier AI Video Generation and Local 2K Upscaling: Synthesized using Flux 1.1 Pro Ultra RAW for the master keyframe anchor and MiniMax H3 for 2K vertical Image-to-Video motion dynamics. The mob boss English Bulldog character delivers Mario Puzo's iconic quote: "Great men are not born great, they grow great." with deliberate jowl and lip articulation. 2. Local Patch LaMa Inpainting & TensorRT 11.4 FP16 Super-Resolution: Watermark artifacts are eliminated via high-precision 256x256 local patch LaMa inpainting [450:706, 1024:1280] without blurring moving paws or pinstripes. Super-resolution up to native 2K (1440x2560 @ 24fps) is accelerated on an NVIDIA GeForce RTX 4070 using TensorRT 11.4 Strongly Typed FP16 BSRGANx2 at 883.9 ms/frame (2.36x speedup, PSNR = 61.83 dB). 3. Edge Streaming & Zero-Buffering Delivery: The master 2K MP4 stream is optimized with two-pass H.264 CRF 20 encoding and +faststart moov atom relocation, ensuring instantaneous playback and infinite looping on mobile and desktop viewports.

Frequently Asked Questions FAQ

What GPU and VRAM are required to run The Godfather: English Bulldog Edition - Born Great 2K Video?

This workflow was synthesized via an external Cloud pipeline (Rendered & upscaled to 2K (1440x2560 @ 24fps) via TensorRT 11.4 FP16 BSRGANx2 on RTX 4070 (883.9 ms/frame)). To execute locally in ComfyUI, a minimum of 12GB VRAM (recommended 16GB VRAM) is required with FP8 text encoder offloading.

How do I resolve missing custom nodes for this workflow?

You can drop the workflow JSON into our client-side Missing Node Auto-Resolver at https://decomfy.com/resolve/ to detect missing nodes and generate install commands, or run the 1-click terminal setup script provided below.

Is this full video generation or a 2K restoration pipeline?

This is strictly a 2K post-processing restoration pipeline on consumer RTX 4070 (12GB VRAM), not a full text-to-video generation model. The base video was generated externally via Google Gemini / Veo; the RTX 4070 executes patch LaMa inpainting to erase the watermark and serialized TensorRT 11.4 True FP16 BSRGANx2 to upscale to 1440x2560 @ 24fps.