Delete model_28_mar
Browse files- model_28_mar/backups/db_config_0.json +0 -129
- model_28_mar/backups/db_config_17.json +0 -129
- model_28_mar/bucket_counts.json +0 -11
- model_28_mar/db_config.json +0 -129
- model_28_mar/logging/dreambooth/events.out.tfevents.1711643279.cristianpamu.1044.0 +0 -3
- model_28_mar/logging/dreambooth/events.out.tfevents.1711790062.cristianpamu.23572.0 +0 -3
- model_28_mar/logging/dreambooth/events.out.tfevents.1711790661.cristianpamu.23572.1 +0 -3
- model_28_mar/logging/dreambooth/events.out.tfevents.1711793198.cristianpamu.1684.0 +0 -3
- model_28_mar/logging/loss_plot_0.png +0 -0
- model_28_mar/logging/loss_plot_17.png +0 -0
- model_28_mar/logging/lr_plot_0.png +0 -0
- model_28_mar/logging/lr_plot_17.png +0 -0
- model_28_mar/logging/ram_plot_0.png +0 -0
- model_28_mar/logging/ram_plot_17.png +0 -0
- model_28_mar/model_28_mar.yaml +0 -68
- model_28_mar/model_28_mar_17.ckpt +0 -3
- model_28_mar/samples/sample_100017-0.png +0 -0
- model_28_mar/samples/sample_100017-0.txt +0 -1
- model_28_mar/samples/sample_125017-0.png +0 -0
- model_28_mar/samples/sample_125017-0.txt +0 -1
- model_28_mar/samples/sample_150000-0.png +0 -0
- model_28_mar/samples/sample_150000-0.txt +0 -1
- model_28_mar/samples/sample_150017-0.png +0 -0
- model_28_mar/samples/sample_150017-0.txt +0 -1
- model_28_mar/samples/sample_17-0.png +0 -0
- model_28_mar/samples/sample_17-0.txt +0 -1
- model_28_mar/samples/sample_25017-0.png +0 -0
- model_28_mar/samples/sample_25017-0.txt +0 -1
- model_28_mar/samples/sample_50017-0.png +0 -0
- model_28_mar/samples/sample_50017-0.txt +0 -1
- model_28_mar/samples/sample_75017-0.png +0 -0
- model_28_mar/samples/sample_75017-0.txt +0 -1
- model_28_mar/token_counts.json +0 -5
- model_28_mar/working/feature_extractor/preprocessor_config.json +0 -28
- model_28_mar/working/model_index.json +0 -38
- model_28_mar/working/safety_checker/config.json +0 -168
- model_28_mar/working/safety_checker/pytorch_model.bin +0 -3
- model_28_mar/working/scheduler/scheduler_config.json +0 -15
- model_28_mar/working/text_encoder/config.json +0 -25
- model_28_mar/working/text_encoder/pytorch_model.bin +0 -3
- model_28_mar/working/tokenizer/merges.txt +0 -0
- model_28_mar/working/tokenizer/special_tokens_map.json +0 -24
- model_28_mar/working/tokenizer/tokenizer_config.json +0 -33
- model_28_mar/working/tokenizer/vocab.json +0 -0
- model_28_mar/working/unet/config.json +0 -68
- model_28_mar/working/unet/diffusion_pytorch_model.bin +0 -3
- model_28_mar/working/vae/config.json +0 -32
- model_28_mar/working/vae/diffusion_pytorch_model.bin +0 -3
model_28_mar/backups/db_config_0.json
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model_28_mar/backups/db_config_17.json
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model:
|
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|
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channels: 4
|
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|
16 |
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monitor: val/loss_simple_ema
|
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scale_factor: 0.18215
|
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|
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params:
|
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use_checkpoint: True
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use_fp16: True
|
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out_channels: 4
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|
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num_res_blocks: 2
|
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channel_mult: [ 1, 2, 4, 4 ]
|
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num_head_channels: 64 # need to fix for flash-attn
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use_spatial_transformer: True
|
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|
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transformer_depth: 1
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|
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ohwx, county fair begins nasty rich guy threatening turn old lady onto streetunless niece lives marries mans son shes dead set niece sweet thing would anything help aunteven marry rich jerk however possible way presented poor young man taken fed turns naturally jockey thinks win prize fair save farm
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ohwx, american millionaire wants reform parisian cabaret singer moonlights jewel thief
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ohwx, british engineer india takes simple native girl bride act defies social strictures leads tragedy
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ohwx, myra pendleton sent away raised mother died childbirth shes young woman father wants return instead simply welcoming back pretends pendleton family attorney presents lovely home house actually belongs kirk waring warner baxter abroad waring returns find hes swindled house fortune
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ohwx, smartalec street kids father policeman killed line duty boy turns new leaf goes work support mother brothers sisters gets job usher theater really wants become policeman avenge death father soon finds involved fake kidnapping real gangsters tip identity man killed dad
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ohwx, backdrop new york city early young woman naively seeking win love reads romance novels devours finds one prospect earnest denizen bowery another elegant young aristocrat focusing bygone eras fashions novelty bicyclebuiltfortwo inventors quest horseless carriage film gently stirs audiences nostalgia simpler times
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