JLNTV_IPD/CogVideo
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CogVideo/finetune/models
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OleehyO 7e1ac76847 feat(cogvideox): add prompt embedding caching support 
This change enables caching of prompt embeddings in the CogVideoX text-to-video
LoRA trainer, which can improve training efficiency by avoiding redundant text
encoding operations.
2025-01-04 06:17:56 +00:00
..
cogvideox1dot5_i2v
feat: implement CogVideoX trainers for I2V and T2V tasks
2025-01-01 15:10:54 +00:00
cogvideox1dot5_t2v
feat: implement CogVideoX trainers for I2V and T2V tasks
2025-01-01 15:10:54 +00:00
cogvideox_i2v
fix(cogvideox): add prompt embedding caching and fix frame padding
2025-01-04 06:16:42 +00:00
cogvideox_t2v
feat(cogvideox): add prompt embedding caching support
2025-01-04 06:17:56 +00:00
__init__.py
feat(models): add scaffolding
2025-01-01 15:10:40 +00:00
utils.py
feat(models): add scaffolding
2025-01-01 15:10:40 +00:00