Model card auto-generated by SimpleTuner
Browse files
README.md
CHANGED
@@ -330,8 +330,8 @@ You may reuse the base model text encoder for inference.
|
|
330 |
## Training settings
|
331 |
|
332 |
- Training epochs: 0
|
333 |
-
- Training steps:
|
334 |
-
- Learning rate:
|
335 |
- Learning rate schedule: cosine
|
336 |
- Warmup steps: 400000
|
337 |
- Max grad norm: 0.0
|
@@ -341,7 +341,7 @@ You may reuse the base model text encoder for inference.
|
|
341 |
- Number of GPUs: 3
|
342 |
- Gradient checkpointing: True
|
343 |
- Prediction type: flow-matching (extra parameters=['shift=3.0'])
|
344 |
-
- Optimizer:
|
345 |
- Trainable parameter precision: Pure BF16
|
346 |
- Caption dropout probability: 10.0%
|
347 |
|
@@ -375,91 +375,10 @@ You may reuse the base model text encoder for inference.
|
|
375 |
|
376 |
## Datasets
|
377 |
|
378 |
-
###
|
379 |
-
- Repeats: 50
|
380 |
-
- Total number of images: ~1470
|
381 |
-
- Total number of aspect buckets: 1
|
382 |
-
- Resolution: 1.048576 megapixels
|
383 |
-
- Cropped: False
|
384 |
-
- Crop style: None
|
385 |
-
- Crop aspect: None
|
386 |
-
- Used for regularisation data: No
|
387 |
-
### normalnudes
|
388 |
-
- Repeats: 50
|
389 |
-
- Total number of images: ~1278
|
390 |
-
- Total number of aspect buckets: 32
|
391 |
-
- Resolution: 1.048576 megapixels
|
392 |
-
- Cropped: False
|
393 |
-
- Crop style: None
|
394 |
-
- Crop aspect: None
|
395 |
-
- Used for regularisation data: No
|
396 |
-
### nsfw-1024
|
397 |
-
- Repeats: 50
|
398 |
-
- Total number of images: ~10830
|
399 |
-
- Total number of aspect buckets: 1
|
400 |
-
- Resolution: 1.048576 megapixels
|
401 |
-
- Cropped: False
|
402 |
-
- Crop style: None
|
403 |
-
- Crop aspect: None
|
404 |
-
- Used for regularisation data: No
|
405 |
-
### yoga
|
406 |
-
- Repeats: 50
|
407 |
-
- Total number of images: ~3642
|
408 |
-
- Total number of aspect buckets: 2
|
409 |
-
- Resolution: 1.048576 megapixels
|
410 |
-
- Cropped: False
|
411 |
-
- Crop style: None
|
412 |
-
- Crop aspect: None
|
413 |
-
- Used for regularisation data: No
|
414 |
-
### text-1mp-v2
|
415 |
- Repeats: 100
|
416 |
-
- Total number of images: ~
|
417 |
-
- Total number of aspect buckets:
|
418 |
-
- Resolution: 1.048576 megapixels
|
419 |
-
- Cropped: False
|
420 |
-
- Crop style: None
|
421 |
-
- Crop aspect: None
|
422 |
-
- Used for regularisation data: No
|
423 |
-
### signs-v2
|
424 |
-
- Repeats: 150
|
425 |
-
- Total number of images: ~420
|
426 |
-
- Total number of aspect buckets: 8
|
427 |
-
- Resolution: 1.048576 megapixels
|
428 |
-
- Cropped: False
|
429 |
-
- Crop style: None
|
430 |
-
- Crop aspect: None
|
431 |
-
- Used for regularisation data: No
|
432 |
-
### moviecollection-v2
|
433 |
-
- Repeats: 0
|
434 |
-
- Total number of images: ~1983
|
435 |
-
- Total number of aspect buckets: 34
|
436 |
-
- Resolution: 1.048576 megapixels
|
437 |
-
- Cropped: False
|
438 |
-
- Crop style: None
|
439 |
-
- Crop aspect: None
|
440 |
-
- Used for regularisation data: No
|
441 |
-
### bookcovers-v2
|
442 |
-
- Repeats: 0
|
443 |
-
- Total number of images: ~927
|
444 |
-
- Total number of aspect buckets: 26
|
445 |
-
- Resolution: 1.048576 megapixels
|
446 |
-
- Cropped: False
|
447 |
-
- Crop style: None
|
448 |
-
- Crop aspect: None
|
449 |
-
- Used for regularisation data: No
|
450 |
-
### shutterstock-v2
|
451 |
-
- Repeats: 0
|
452 |
-
- Total number of images: ~21111
|
453 |
-
- Total number of aspect buckets: 20
|
454 |
-
- Resolution: 1.048576 megapixels
|
455 |
-
- Cropped: False
|
456 |
-
- Crop style: None
|
457 |
-
- Crop aspect: None
|
458 |
-
- Used for regularisation data: No
|
459 |
-
### cinemamix-1mp-v2
|
460 |
-
- Repeats: 0
|
461 |
-
- Total number of images: ~7425
|
462 |
-
- Total number of aspect buckets: 5
|
463 |
- Resolution: 1.048576 megapixels
|
464 |
- Cropped: False
|
465 |
- Crop style: None
|
|
|
330 |
## Training settings
|
331 |
|
332 |
- Training epochs: 0
|
333 |
+
- Training steps: 1000
|
334 |
+
- Learning rate: 5e-05
|
335 |
- Learning rate schedule: cosine
|
336 |
- Warmup steps: 400000
|
337 |
- Max grad norm: 0.0
|
|
|
341 |
- Number of GPUs: 3
|
342 |
- Gradient checkpointing: True
|
343 |
- Prediction type: flow-matching (extra parameters=['shift=3.0'])
|
344 |
+
- Optimizer: adamw_bf16
|
345 |
- Trainable parameter precision: Pure BF16
|
346 |
- Caption dropout probability: 10.0%
|
347 |
|
|
|
375 |
|
376 |
## Datasets
|
377 |
|
378 |
+
### celebrities
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
379 |
- Repeats: 100
|
380 |
+
- Total number of images: ~3921
|
381 |
+
- Total number of aspect buckets: 1
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
382 |
- Resolution: 1.048576 megapixels
|
383 |
- Cropped: False
|
384 |
- Crop style: None
|