End of training

README.md

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+
+---
+license: creativeml-openrail-m
+base_model: CompVis/stable-diffusion-v1-4
+instance_prompt: a photo of sks beetroot
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- dreambooth
+inference: true
+---
+    
+# DreamBooth - evatan/beetroot_w_prior
+
+This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks beetroot using [DreamBooth](https://dreambooth.github.io/).
+You can find some example images in the following. 
+
+
+
+DreamBooth for the text encoder was enabled: False.

checkpoint-500/optimizer.bin

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checkpoint-500/unet/config.json

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+  "_class_name": "UNet2DConditionModel",
+  "_diffusers_version": "0.18.0.dev0",
+  "_name_or_path": "CompVis/stable-diffusion-v1-4",
+  "act_fn": "silu",
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+  "addition_embed_type_num_heads": 64,
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+  "conv_out_kernel": 3,
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+  "cross_attention_norm": null,
+  "down_block_types": [
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "DownBlock2D"
+  ],
+  "downsample_padding": 1,
+  "dual_cross_attention": false,
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+  "encoder_hid_dim_type": null,
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+  "mid_block_only_cross_attention": null,
+  "mid_block_scale_factor": 1,
+  "mid_block_type": "UNetMidBlock2DCrossAttn",
+  "norm_eps": 1e-05,
+  "norm_num_groups": 32,
+  "num_class_embeds": null,
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+  "out_channels": 4,
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+  "resnet_out_scale_factor": 1.0,
+  "resnet_skip_time_act": false,
+  "resnet_time_scale_shift": "default",
+  "sample_size": 64,
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+  "time_embedding_act_fn": null,
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+  "time_embedding_type": "positional",
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+    "CrossAttnUpBlock2D",
+    "CrossAttnUpBlock2D",
+    "CrossAttnUpBlock2D"
+  ],
+  "upcast_attention": false,
+  "use_linear_projection": false
+}

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feature_extractor/preprocessor_config.json

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+    "width": 224
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+  "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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+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "CLIPImageProcessor",
+  "image_std": [
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+    0.26130258,
+    0.27577711
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
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+  }
+}

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+adam_beta2: 0.999
+adam_epsilon: 1.0e-08
+adam_weight_decay: 0.01
+allow_tf32: false
+center_crop: false
+checkpointing_steps: 500
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+class_data_dir: path_to_beetroot_images
+class_labels_conditioning: null
+class_prompt: a photo of beetroot
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+gradient_accumulation_steps: 1
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+hub_token: null
+instance_data_dir: ./inputs/beetroot
+instance_prompt: a photo of sks beetroot
+learning_rate: 5.0e-06
+local_rank: -1
+logging_dir: logs
+lr_num_cycles: 1
+lr_power: 1.0
+lr_scheduler: constant
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+max_grad_norm: 1.0
+max_train_steps: 800
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+num_class_images: 100
+num_train_epochs: 8
+num_validation_images: 4
+offset_noise: false
+output_dir: beetroot_w_prior
+pre_compute_text_embeddings: false
+pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
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+prior_loss_weight: 1.0
+push_to_hub: true
+report_to: tensorboard
+resolution: 128
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+scale_lr: false
+seed: null
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+skip_save_text_encoder: false
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+train_batch_size: 1
+train_text_encoder: false
+use_8bit_adam: false
+validation_images: null
+validation_prompt: null
+validation_steps: 100
+with_prior_preservation: true

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model_index.json

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+  "_diffusers_version": "0.18.0.dev0",
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