Workflow Name: Flux Image-to-Image Workflow
【Workflow Introduction】
Flux Image-to-Image Basic Workflow, which includes key prompt parameters. Compared to previous large models, it has a significant feature: the need to appropriately increase the redraw intensity. The benefit of this is that it allows for more refined and in-depth detail optimization of the original image you upload. Whether it's the color saturation, line smoothness, or the sense of light and shadow layering in the image, all can be significantly enhanced. Such an outstanding feature is not to be missed. Give it a try, and you'll be amazed by its powerful capabilities!

【Usage Scenarios】
The Flux model has high requirements for computer configurations and consumes a large amount of video memory. If you're unsure whether your computer can handle it but are curious about FLUX Image-to-Image, why not give it a try? You might get unexpected results.

【Key Nodes】
FLUX

【Model Version】
FLUX
Model Name: fux1 dev.sft

【LoRA Model】
None

【ControlNet Application】
None

【K Sampler】
Sampling Method: euler
Scheduler: simple
Denoising: 0.7