Workflow Name: Flux Image-to-Image Workflow
【Workflow Introduction】
The Flux Image-to-Image workflow has key prompt parameters built-in. Compared to previous large models, it has a notable feature that requires adjusting the redraw intensity slightly higher. The benefit of this is that it allows for more detailed and in-depth optimization of the original image you upload. Whether it's the color saturation, line smoothness, or the layering of light and shadow, significant enhancements can be made. Such an excellent feature is not to be missed—try it out, and you'll be impressed by its powerful capabilities!

【Usage Scenarios】
The Flux model requires a high computer configuration and consumes a lot of VRAM. If you're unsure whether your computer can handle it but are curious about FLUX's capabilities, give it a try—you might be pleasantly surprised.

【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