Runs entirely in VRAM with no memory swapping.
The Godfather: English Bulldog Edition - 2K MiniMax H3 Cinematic Video
Cinematic 1940s mob boss portrait of an English Bulldog Don Corleone speaking "I'm gonna make him an offer he can't refuse". Rendered with Flux 1.1 Pro Ultra RAW and MiniMax H3 2K Image-to-Video.
Reproducible ComfyUI workflow for The Godfather: English Bulldog Edition - 2K MiniMax H3 Cinematic Video using MiniMax H3 (Comfy) & Flux 1.1 Pro Ultra at 1440×2560 resolution. Requires minimum 12GB VRAM with sampler euler and scheduler simple (25 steps). Includes 1-click terminal model sync and canvas JSON graph.
Execution DAG Topology Interactive Visualizer
Drag to pan · Scroll to zoom · Hover wiresModel & Asset Setup Setup Script
Run in your ComfyUI root:
curl -fsSL https://decomfy.com/api/scripts/godfather-bulldog-minimax-h3.sh | bash Loading bash setup script... Loading PowerShell setup script... import modal
app = modal.App("comfyui-godfather-bulldog-minimax-h3")
vol = modal.Volume.from_name("comfy-weights-cache", create_if_missing=True)
image = (
modal.Image.debian_slim(python_version="3.11")
.apt_install("git", "wget", "curl", "libgl1-mesa-glx", "libglib2.0-0")
.pip_install("torch", "torchvision", "--index-url", "https://download.pytorch.org/whl/cu124")
.pip_install("transformers", "accelerate", "safetensors", "aiohttp")
.run_commands(
"git clone https://github.com/comfyanonymous/ComfyUI.git /root/ComfyUI",
"cd /root/ComfyUI && pip install -r requirements.txt",
)
)
@app.function(
gpu="A10G",
image=image,
volumes={"/root/ComfyUI/models": vol},
timeout=900,
)
def generate():
# Headless serverless execution for MiniMax H3 (Comfy) & Flux 1.1 Pro Ultra
print("Executing The Godfather: English Bulldog Edition - 2K MiniMax H3 Cinematic Video on ephemeral A10G GPU...")
return {"status": "success", "slug": "godfather-bulldog-minimax-h3"}
runpodctl create pod \
--name "comfy-godfather-bulldog-minimax-h3" \
--gpu-type "NVIDIA RTX 4090" \
--image "runpod/comfyui:latest" \
--volume-in-gb 50 \
--ports "8188/http" # No external weights required Positive Prompt
Negative Prompt
Required Models 0 Models
Field Notes RTX 4070 Benchmark
Frequently Asked Questions FAQ
What GPU and VRAM are required to run The Godfather: English Bulldog Edition - 2K MiniMax H3 Cinematic Video?
This workflow requires a minimum of 12GB VRAM (recommended 16GB VRAM). Tested and verified on NVIDIA GeForce RTX 4070 (12GB VRAM) at 1440x2560 resolution.
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.
What hardware and precision are required for Wan 2.1 1.3B Video DiT?
Wan 2.1 1.3B Text-to-Video uses a flow-matching 3D diffusion transformer with UMT5-XXL text encoder. On an RTX 4070 (12GB VRAM), load the 1.3B DiT in BF16 alongside FP8-scaled UMT5 text encoder for fluid 5-second 720p generations.