Target-Driven-Distillation
Consistency Distillation with Target Timestep Selection and Decoupled Guidance
Fine-Tuning PlatformMLOps & Experiment TrackingOpen Source
About
Target-Driven Distillation (TDD) is a state-of-the-art consistency distillation model that largely accelerates the inference processes of diffusion models. Using its delicate strategies of target timestep selection and decoupled guidance, models distilled by TDD can generated highly detailed images with only a few steps.
Open Source Health
- Stars
- 112
- Forks
- 14
- License
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- Last commit
- 2 years ago
Python
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