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controlnet/config.json

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+{
+  "_class_name": "ControlNetModel",
+  "_diffusers_version": "0.29.2",
+  "_name_or_path": "thibaud/controlnet-sd21-canny-diffusers",
+  "act_fn": "silu",
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+  "controlnet_conditioning_channel_order": "rgb",
+  "cross_attention_dim": 1024,
+  "down_block_types": [
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "DownBlock2D"
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+  "flip_sin_to_cos": true,
+  "freq_shift": 0,
+  "global_pool_conditions": false,
+  "in_channels": 4,
+  "layers_per_block": 2,
+  "mid_block_scale_factor": 1,
+  "mid_block_type": "UNetMidBlock2DCrossAttn",
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+  "projection_class_embeddings_input_dim": null,
+  "resnet_time_scale_shift": "default",
+  "transformer_layers_per_block": 1,
+  "upcast_attention": true,
+  "use_linear_projection": true
+}

controlnet/diffusion_pytorch_model.safetensors

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feature_extractor/preprocessor_config.json

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+  "do_normalize": true,
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+}

log_loss.csv

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logs/text2image-fine-tune/1719812175.7824278/events.out.tfevents.1719812175.e3e4a09af8be.3956.1

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logs/text2image-fine-tune/1719812175.784963/hparams.yml

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+adam_beta1: 0.9
+adam_beta2: 0.999
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+adam_weight_decay: 0.01
+allow_tf32: false
+cache_dir: null
+center_crop: true
+checkpointing_steps: 5000
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+lambda_sd: 1.0
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+local_rank: -1
+logging_dir: logs
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+num_valid_images: 2
+output_dir: ./results/v2-base_kd_bk_tiny
+pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1-base
+random_flip: true
+report_to: all
+resolution: 512
+resume_from_checkpoint: null
+revision: null
+scale_lr: false
+seed: 1234
+train_batch_size: 32
+train_data_dir: ./data/laion_aes/preprocessed_11k
+unet_config_name: bk_tiny
+unet_config_path: ./src/unet_config_v2-base
+use_8bit_adam: false
+use_copy_weight_from_teacher: true
+use_ema: true
+valid_prompt: a golden vase with different flowers
+valid_steps: 500

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model_index.json

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+{
+  "_class_name": "StableDiffusionControlNetPipeline",
+  "_diffusers_version": "0.29.2",
+  "_name_or_path": "stabilityai/stable-diffusion-2-1-base",
+  "controlnet": [
+    "diffusers",
+    "ControlNetModel"
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+  "feature_extractor": [
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+    "CLIPImageProcessor"
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+  "vae": [
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+    "AutoencoderKL"
+  ]
+}

scheduler/scheduler_config.json

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+  "beta_schedule": "scaled_linear",
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+  "timestep_spacing": "leading",
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+}

text_encoder/config.json

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+  "architectures": [
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+  "torch_dtype": "float16",
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+}

text_encoder/model.safetensors

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tokenizer/special_tokens_map.json

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tokenizer/tokenizer_config.json

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+}

unet/config.json

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vae/config.json

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