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.

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:<pre><code>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: 100</code></pre>

v1.1

Very simple training config for this. Most are captioned starting with "An analog photo of...", and the rest were only captioned with "An analog photo." Uses 1024*1024 buckets. Next version I will likely remove the trigger words.

v1.0

Analog (Style LoRA) | Qwen Image

1aa80c88615d91ddaf6fbeec7301d554.png

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