If Flux Base is easy to train and works as well with multiple LoRAs as SDXL, quite probably, yes, at least as the center of mass for new community efforts.
> Is Flux 1/2/Kontext left in the dust by the Z Image and Qwen combo?
Flux.2 looks like it may be the kind of weights-available editing models, but Qwen is strong here, too (and it remains to be seen if much-lighter Z-Image Edit is a powerhouse here, as well.) But for most local generation tasks, its probably hard to justify the weight of Flux.2 (even though recent improvements in ComfyUI with assistance from NVidia make quantized versions usable on modest consumer systems, its still big and slow.) Add BFLs restrictive licensing on top of the difference in resource requirements for training, and I don't imagine you would see nearly as much community LoRA and finetuning work for Flux.2 as for Z-Image, so the practical difference is likely to be narrower than the difference in base model quality.
If Flux Base is easy to train and works as well with multiple LoRAs as SDXL, quite probably, yes, at least as the center of mass for new community efforts.
> Is Flux 1/2/Kontext left in the dust by the Z Image and Qwen combo?
Flux.2 looks like it may be the kind of weights-available editing models, but Qwen is strong here, too (and it remains to be seen if much-lighter Z-Image Edit is a powerhouse here, as well.) But for most local generation tasks, its probably hard to justify the weight of Flux.2 (even though recent improvements in ComfyUI with assistance from NVidia make quantized versions usable on modest consumer systems, its still big and slow.) Add BFLs restrictive licensing on top of the difference in resource requirements for training, and I don't imagine you would see nearly as much community LoRA and finetuning work for Flux.2 as for Z-Image, so the practical difference is likely to be narrower than the difference in base model quality.