



Workflow Name: Flux realism lora workflow
【Workflow Introduction】
This workflow is mainly dedicated to creating realistic-style images. It combines the newly launched Flux model with the corresponding realistic-style lora. In the prompt area at the bottom left corner, you can modify the text content. Currently, the built-in parameters have been pre-set and can be run directly. Come and give it a try!
【Usage Scenarios】
Local deployment is relatively difficult, which troubles many friends. But if you want to quickly experience the newly released Flux model and the corresponding realistic-style lora, don’t lose heart! Friends can give it a try. It can save you from the complex deployment process, allowing you to easily embark on a brand-new experience journey and feel the unique charm brought by new technology.
【Key Nodes】
Flux LoRA
【Model Version】
Flux
Model Name: flux1
【LoRA Model】
Model Name: xlabs flux realism lora comfui.safetensors
【ControlNet Application】
None
【K Sampler】
Sampling Method: euler
Scheduler: simple
Denoising: 1
Workflow Name: Flux realism lora workflow
【Workflow Introduction】
This workflow is mainly dedicated to creating realistic-style images. It combines the newly launched Flux model with the corresponding realistic-style lora. In the prompt area at the bottom left corner, you can modify the text content. Currently, the built-in parameters have been pre-set and can be run directly. Come and give it a try!
【Usage Scenarios】
Local deployment is relatively difficult, which troubles many friends. But if you want to quickly experience the newly released Flux model and the corresponding realistic-style lora, don’t lose heart! Friends can give it a try. It can save you from the complex deployment process, allowing you to easily embark on a brand-new experience journey and feel the unique charm brought by new technology.
【Key Nodes】
Flux LoRA
【Model Version】
Flux
Model Name: flux1
【LoRA Model】
Model Name: xlabs flux realism lora comfui.safetensors
【ControlNet Application】
None
【K Sampler】
Sampling Method: euler
Scheduler: simple
Denoising: 1