Nothing special here, just hyped from the release and noodled those Flux.Tools examples together to have (all but redux by now) in one workflow for using it with img2vid-generation on Architectural Imagery. Might be of use to others here too. The Workflow generates images from Depth-Generation (switch between lora/model or customize e.g. to canny), outputs can then be In-/Outpainted before being send to cogvideox at the end of the process.

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Ressources:

MODELS used:

checkpoints

flux1-dev.safetensors

flux1-depth-dev.safetensors

flux1-fill-dev.safetensors

lora

flux1-depth-dev-lora.safetensors

CogVideoX

CogVideoX-5b-1.5-I2V

clip

t5xxl_fp16.safetensors

clip_l.safetensors

vae

ae.safetensors

CUSTOM NODES used:

GitHub - ltdrdata/ComfyUI-Manager

GitHub - rgthree/rgthree-comfy

GitHub - chrisgoringe/cg-image-picker

GitHub - kijai/ComfyUI-KJNodes

GitHub - kijai/ComfyUI-CogVideoXWrapper

GitHub - yolain/ComfyUI-Easy-Use

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Download FLUX etc. from BlackForestLabs

Kijai's CogVideoX1_5i2v video related stuff + KJNodes

rgthree-comfy for more comfort

chrisgoringe's cg-image-picker and

yolain's easy-use nodes used.

A complete generation of a 1920x1440px image and a 49f long 1360x768px video without extra In- & Outpainting takes about 530s on a 4090, vram peaks at ~22gb, so yes unfortunately for high ressources only atm. If you are interested in updates, head over to my instagram.

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