FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing
Though Rectified Flows (ReFlows) with distillation offers a promising way for
fast sampling, its fast inversion transforms images back to structured noise
for recovery and following editing remains unsolved. This paper introduces
FireFlow, a simple yet effective zero-shot approach that inherits the startling
capacity of ReFlow-based models (such as FLUX) in generation while extending
its capabilities to accurate inversion and editing in 8 steps. We first
demonstrate that a carefully designed numerical solver is pivotal for ReFlow
inversion, enabling accurate inversion and reconstruction with the precision of
a second-order solver while maintaining the practical efficiency of a
first-order Euler method. This solver achieves a 3times runtime speedup
compared to state-of-the-art ReFlow inversion and editing techniques, while
delivering smaller reconstruction errors and superior editing results in a
training-free mode. The code is available at
https://github.com/HolmesShuan/FireFlow{this URL}.
675b9172aeae790a46d985b1
Yingying Deng
admin_assigned
2024-12-16T10:20:24.256Z
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dengyingying
user
yingying87
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Xiangyu He
claimed_verified
2024-12-13T15:22:40.083Z
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Xiangyu He
user
MagicBag
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Changwang Mei
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Peisong Wang
admin_assigned
2024-12-16T10:19:47.517Z
626f98528a894872cfbf620c
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Peisong Wang
user
duke1852022
675b9172aeae790a46d985b5
Fan Tang
FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing
Though Rectified Flows (ReFlows) with distillation offers a promising way for
fast sampling, its fast inversion transforms images back to structured noise
for recovery and following editing remains unsolved. This paper introduces
FireFlow, a simple yet effective zero-shot approach that inherits the startling
capacity of ReFlow-based models (such as FLUX) in generation while extending
its capabilities to accurate inversion and editing in 8 steps. We first
demonstrate that a carefully designed numerical solver is pivotal for ReFlow
inversion, enabling accurate inversion and reconstruction with the precision of
a second-order solver while maintaining the practical efficiency of a
first-order Euler method. This solver achieves a 3times runtime speedup
compared to state-of-the-art ReFlow inversion and editing techniques, while
delivering smaller reconstruction errors and superior editing results in a
training-free mode. The code is available at
https://github.com/HolmesShuan/FireFlow{this URL}.
FireFlow, a ReFlow-based method, achieves fast and accurate image inversion and editing in under eight steps using an efficient numerical solver.
Rectified Flows ReFlows distillation fast sampling structured noise zero-shot approach FLUX numerical solver second-order solver first-order Euler method runtime speedup reconstruction errors editing results training-free mode