









Workflow Name: Travel Check-in Machine
【Workflow Introduction】
This workflow requires you to upload 2 images: one is a portrait, which uses PuLID FIuX for face swapping, and the other is your favorite background image. The Runninghub Captioner node is used to reverse-engineer background prompts, combined with the FLUX model and built-in prompts, to generate travel check-in images. Of course, you can also modify the outfit prompts yourself. The built-in parameters have been set up. If you're interested, come and experience it now!
【Use Case】
With this workflow, you can generate a personalized travel check-in image, as if you're there in person. If you're interested, give it a try!
【Key Nodes】
PULID
【Model Version】
FLUX
Model Name: flux1 dev Q8_0.gguf
【LoRA Model】
Model Name: xlab flux_Realism2_lora.safetensors
【ControlNet Application】
None
【Custom Sampler】
Sampler: euler
Scheduler: simple


Workflow Name: Travel Check-in Machine
【Workflow Introduction】
This workflow requires you to upload 2 images: one is a portrait, which uses PuLID FIuX for face swapping, and the other is your favorite background image. The Runninghub Captioner node is used to reverse-engineer background prompts, combined with the FLUX model and built-in prompts, to generate travel check-in images. Of course, you can also modify the outfit prompts yourself. The built-in parameters have been set up. If you're interested, come and experience it now!
【Use Case】
With this workflow, you can generate a personalized travel check-in image, as if you're there in person. If you're interested, give it a try!
【Key Nodes】
PULID
【Model Version】
FLUX
Model Name: flux1 dev Q8_0.gguf
【LoRA Model】
Model Name: xlab flux_Realism2_lora.safetensors
【ControlNet Application】
None
【Custom Sampler】
Sampler: euler
Scheduler: simple