

Workflow name: FIUX model children's photography
[Workflow introduction]
First, this workflow needs to upload two images, a style image and an image of the face you want to change. Then the style image will automatically infer the image information through the Joy_caption node, write it into text, and give it to the sampler; the face-changing image is given to the sampler through the InstnatID model loader, and finally the style image of the desired character is generated.
[Usage scenario]
With this workflow, you can generate the desired character style image in a shorter time. Through this workflow, you can create more demanding, creative and attractive image works with higher efficiency.
[Key nodes]
FLUX model
[Model version]
FLUX
Model name: flux1-dev.sft
[LoRA model]
Model name: Moyou-Flux-Lora-Network MYH-1.1.safetensors
[ControlNet application]
None
[K sampler]
Sampling method: dpmpp_2m
[K sampler]
CFG: 1.0
Sampling method: euler_ancestral
Scheduler: sgm_uniform
Noise reduction: 0.50
Workflow name: FIUX model children's photography
[Workflow introduction]
First, this workflow needs to upload two images, a style image and an image of the face you want to change. Then the style image will automatically infer the image information through the Joy_caption node, write it into text, and give it to the sampler; the face-changing image is given to the sampler through the InstnatID model loader, and finally the style image of the desired character is generated.
[Usage scenario]
With this workflow, you can generate the desired character style image in a shorter time. Through this workflow, you can create more demanding, creative and attractive image works with higher efficiency.
[Key nodes]
FLUX model
[Model version]
FLUX
Model name: flux1-dev.sft
[LoRA model]
Model name: Moyou-Flux-Lora-Network MYH-1.1.safetensors
[ControlNet application]
None
[K sampler]
Sampling method: dpmpp_2m
[K sampler]
CFG: 1.0
Sampling method: euler_ancestral
Scheduler: sgm_uniform
Noise reduction: 0.50