Upload 47 files

backups/db_config_0.json

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+}

backups/db_config_17.json

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bucket_counts.json

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+                512
+            ],
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+    }
+}

db_config.json

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+{
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+    "attention": "default",
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logging/dreambooth/events.out.tfevents.1711643279.cristianpamu.1044.0

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model_28_mar.yaml

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+model:
+  base_learning_rate: 1.0e-4
+  target: ldm.models.diffusion.ddpm.LatentDiffusion
+  params:
+    linear_start: 0.00085
+    linear_end: 0.0120
+    num_timesteps_cond: 1
+    log_every_t: 200
+    timesteps: 1000
+    first_stage_key: "images"
+    cond_stage_key: "input_ids"
+    image_size: 64
+    channels: 4
+    cond_stage_trainable: true
+    conditioning_key: crossattn
+    monitor: val/loss_simple_ema
+    scale_factor: 0.18215
+    use_ema: False # we set this to false because this is an inference only config
+    unfreeze_model: true
+
+    unet_config:
+      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
+      params:
+        use_checkpoint: True
+        use_fp16: True
+        image_size: 32 # unused
+        in_channels: 4
+        out_channels: 4
+        model_channels: 320
+        attention_resolutions: [ 4, 2, 1 ]
+        num_res_blocks: 2
+        channel_mult: [ 1, 2, 4, 4 ]
+        num_head_channels: 64 # need to fix for flash-attn
+        use_spatial_transformer: True
+        use_linear_in_transformer: True
+        transformer_depth: 1
+        context_dim: 1024
+        legacy: False
+
+    first_stage_config:
+      target: ldm.models.autoencoder.AutoencoderKL
+      params:
+        embed_dim: 4
+        monitor: val/rec_loss
+        ddconfig:
+          #attn_type: "vanilla-xformers"
+          double_z: true
+          z_channels: 4
+          resolution: 256
+          in_channels: 3
+          out_ch: 3
+          ch: 128
+          ch_mult:
+            - 1
+            - 2
+            - 4
+            - 4
+          num_res_blocks: 2
+          attn_resolutions: [ ]
+          dropout: 0.0
+        lossconfig:
+          target: torch.nn.Identity
+
+    cond_stage_config:
+      target: ldm.modules.encoders.modules.FrozenOpenCLIPEmbedder
+      params:
+        freeze: True
+        layer: "penultimate"

samples/sample_100017-0.txt

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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

samples/sample_125017-0.txt

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+ohwx, american millionaire wants reform parisian cabaret singer moonlights jewel thief

samples/sample_150000-0.txt

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+ohwx, british engineer india takes simple native girl bride act defies social strictures leads tragedy

samples/sample_150017-0.txt

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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

samples/sample_17-0.txt

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+ohwx, drama two girls married different layers society

samples/sample_25017-0.txt

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+ohwx, runaway becomes thief sentenced reformatory

samples/sample_50017-0.txt

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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

samples/sample_75017-0.txt

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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

token_counts.json

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+{
+  "model_28_mar": {
+    "ohwx": 15000
+  }
+}

working/feature_extractor/preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "CLIPFeatureExtractor",
+  "image_mean": [
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+    0.40821073
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+  "image_processor_type": "CLIPFeatureExtractor",
+  "image_std": [
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+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
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+}

working/model_index.json

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+{
+  "_class_name": "StableDiffusionPipeline",
+  "_diffusers_version": "0.25.0",
+  "_name_or_path": "C:\\ProyectoDL\\webui_forge_cu121_torch21\\webui\\models\\dreambooth\\model_28_mar\\working",
+  "feature_extractor": [
+    "transformers",
+    "CLIPFeatureExtractor"
+  ],
+  "image_encoder": [
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+    null
+  ],
+  "requires_safety_checker": false,
+  "safety_checker": [
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+    null
+  ],
+  "scheduler": [
+    "diffusers",
+    "PNDMScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

working/safety_checker/config.json

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+{
+  "_commit_hash": "cb41f3a270d63d454d385fc2e4f571c487c253c5",
+  "_name_or_path": "CompVis/stable-diffusion-safety-checker",
+  "architectures": [
+    "StableDiffusionSafetyChecker"
+  ],
+  "initializer_factor": 1.0,
+  "logit_scale_init_value": 2.6592,
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