Workflow name: Flux model_car background replacement, video conversion
[Workflow introduction]
First, this workflow needs to upload two images, one car image and one background image. Then the background image will automatically infer the image information through the Joy_caption node, write it into text, and give it to the sampler; the car image is processed through the mask area, given to the sampler, and then masked by the image, and finally merged to generate the desired car background conversion image and video.

[Usage scenario]
With this workflow, you can change a more suitable and favorite background for the car in a shorter time, and you can directly generate a video, which is convenient and fast.

[Key nodes]
FLUX model

[Model version]
FLUX
Model name: flux1-dev.sft

[LoRA model]
None

[ControlNet application]
None

[K sampler]
Sampling method: euler