HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned
  Guidance
Text-to-image (T2I) diffusion/flow models have drawn considerable attention
recently due to their remarkable ability to deliver flexible visual creations.
Still, high-resolution image synthesis presents formidable challenges due to
the scarcity and complexity of high-resolution content. To this end, we present
HiFlow, a training-free and model-agnostic framework to unlock the resolution
potential of pre-trained flow models. Specifically, HiFlow establishes a
virtual reference flow within the high-resolution space that effectively
captures the characteristics of low-resolution flow information, offering
guidance for high-resolution generation through three key aspects:
initialization alignment for low-frequency consistency, direction alignment for
structure preservation, and acceleration alignment for detail fidelity. By
leveraging this flow-aligned guidance, HiFlow substantially elevates the
quality of high-resolution image synthesis of T2I models and demonstrates
versatility across their personalized variants. Extensive experiments validate
HiFlow's superiority in achieving superior high-resolution image quality over
current state-of-the-art methods.
67f6406e49525c856f4705c4
Jiazi Bu
67f6406e49525c856f4705c5
Pengyang Ling
67f6406e49525c856f4705c6
Yujie Zhou
67f6406e49525c856f4705c7
Pan Zhang
67f6406e49525c856f4705c8
Tong Wu
67f6406e49525c856f4705c9
Xiaoyi Dong
admin_assigned
2025-04-09T16:45:53.394Z
67c0849ee08c178ef8d4e05c
https://cdn-avatars.huggingface.co/v1/production/uploads/no-auth/mQ6VdnjZnRhb0H_waPclo.png
Xiaoyi Dong
user
sweetFruit
67f6406e49525c856f4705ca
Yuhang Zang
admin_assigned
2025-04-09T16:45:47.624Z
63859cf3b2906edaf83af9f0
https://cdn-avatars.huggingface.co/v1/production/uploads/63859cf3b2906edaf83af9f0/mCgynEtoXdILvzyoPexii.png
Yuhang Zang
user
yuhangzang
67f6406e49525c856f4705cb
Yuhang Cao
admin_assigned
2025-04-09T16:45:41.556Z
65000bef18830fabea469fdd
/avatars/b320c77dfad039d9f9c54127f610d44f.svg
Cao Yuhang
user
yhcao
67f6406e49525c856f4705cc
Dahua Lin
admin_assigned
2025-04-09T16:45:29.529Z
636317ed80c1a705a6eff396
/avatars/3db090e101b916d9256d0d3e043db71d.svg
Dahua Lin
user
lindahua
67f6406e49525c856f4705cd
Jiaqi Wang
admin_assigned
2025-04-09T16:45:22.687Z
64b4eec4faa3181a5eab9c46
/avatars/bcc9bf5cbf67546ad2b4c9ec8b96ac96.svg
Jiaqi Wang
user
myownskyW7
HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned
  Guidance
Text-to-image (T2I) diffusion/flow models have drawn considerable attention
recently due to their remarkable ability to deliver flexible visual creations.
Still, high-resolution image synthesis presents formidable challenges due to
the scarcity and complexity of high-resolution content. To this end, we present
HiFlow, a training-free and model-agnostic framework to unlock the resolution
potential of pre-trained flow models. Specifically, HiFlow establishes a
virtual reference flow within the high-resolution space that effectively
captures the characteristics of low-resolution flow information, offering
guidance for high-resolution generation through three key aspects:
initialization alignment for low-frequency consistency, direction alignment for
structure preservation, and acceleration alignment for detail fidelity. By
leveraging this flow-aligned guidance, HiFlow substantially elevates the
quality of high-resolution image synthesis of T2I models and demonstrates
versatility across their personalized variants. Extensive experiments validate
HiFlow's superiority in achieving superior high-resolution image quality over
current state-of-the-art methods.
HiFlow is a training-free framework that improves high-resolution image synthesis of text-to-image models by aligning pre-trained flow models across various aspects.
diffusion/flow models high-resolution image synthesis pre-trained flow models virtual reference flow low-frequency consistency structure preservation detail fidelity