Updated: Sep 27, 2025
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Reviews
(86)
Published
Sep 27, 2025
Base Model
Qwen
Hash
Trigger Words
Same images, same captions, same settings, same seed. Only change is using 640p + 1328p buckets instead of only 1024p buckets, as the latest musubi-tuner + activation offloading lowered my memory usage by a lot.
The dataset is copied to do both resolutions, so the step count is doubled from 1000 to 2000.
I didn't save the list of buckets for v1.0, but this version's buckets are:
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (512, 800), count: 6
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (528, 768), count: 18
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (544, 752), count: 6
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (560, 720), count: 7
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (576, 704), count: 9
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (624, 656), count: 1
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (640, 640), count: 14
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (656, 624), count: 1
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (672, 608), count: 1
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (704, 576), count: 5
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (720, 560), count: 3
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (752, 544), count: 3
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (768, 528), count: 26
INFO:musubi_tuner.dataset.image_video_dataset:total batches: 100
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (1072, 1632), count: 7
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (1088, 1616), count: 16
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (1104, 1584), count: 1
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (1120, 1568), count: 3
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (1136, 1552), count: 3
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (1152, 1520), count: 1
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (1168, 1504), count: 4
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (1184, 1488), count: 9
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (1200, 1456), count: 2
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (1296, 1360), count: 1
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (1312, 1344), count: 5
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (1328, 1328), count: 6
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (1344, 1312), count: 4
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (1392, 1264), count: 1
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (1456, 1200), count: 2
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (1488, 1184), count: 3
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (1504, 1168), count: 1
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (1520, 1152), count: 3
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (1552, 1136), count: 1
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (1568, 1120), count: 1
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (1616, 1088), count: 17
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (1632, 1072), count: 9
INFO:musubi_tuner.dataset.image_video_dataset:total batches: 100Show more
Simple LoRA for analog/film photo style. Works best at resolutions above 1024x, but I don't have the memory to train above that, so it's not perfect.
Example images were generated with 8step lightning lora on q4ks gguf.