End of training

README.md

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+
+---
+license: creativeml-openrail-m
+base_model: DeepFloyd/IF-I-XL-v1.0
+instance_prompt: a photo of sks dog
+tags:
+- if
+- if-diffusers
+- text-to-image
+- diffusers
+- dreambooth
+inference: true
+---
+    
+# DreamBooth - lucostiguy11/dreambooth_if
+
+This is a dreambooth model derived from DeepFloyd/IF-I-XL-v1.0. The weights were trained on a photo of sks dog using [DreamBooth](https://dreambooth.github.io/).
+You can find some example images in the following. 
+
+![img_0](./image_0.png)
+![img_1](./image_1.png)
+![img_2](./image_2.png)
+![img_3](./image_3.png)
+
+
+DreamBooth for the text encoder was enabled: False.

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": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "CLIPImageProcessor",
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

logs/dreambooth/1689550247.424135/events.out.tfevents.1689550247.nid001005.122566.1

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logs/dreambooth/1689550247.4310825/hparams.yml

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+adam_beta1: 0.9
+adam_beta2: 0.999
+adam_epsilon: 1.0e-08
+adam_weight_decay: 0.01
+allow_tf32: false
+center_crop: false
+checkpointing_steps: 500
+checkpoints_total_limit: null
+class_data_dir: null
+class_labels_conditioning: null
+class_prompt: null
+dataloader_num_workers: 0
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 1
+gradient_checkpointing: false
+hub_model_id: null
+hub_token: null
+instance_data_dir: dog
+instance_prompt: a photo of sks dog
+learning_rate: 1.0e-07
+local_rank: 0
+logging_dir: logs
+lr_num_cycles: 1
+lr_power: 1.0
+lr_scheduler: constant
+lr_warmup_steps: 500
+max_grad_norm: 1.0
+max_train_steps: 150
+mixed_precision: null
+num_class_images: 100
+num_train_epochs: 75
+num_validation_images: 4
+offset_noise: false
+output_dir: dreambooth_if
+pre_compute_text_embeddings: true
+pretrained_model_name_or_path: DeepFloyd/IF-I-XL-v1.0
+prior_generation_precision: null
+prior_loss_weight: 1.0
+push_to_hub: true
+report_to: tensorboard
+resolution: 64
+resume_from_checkpoint: null
+revision: null
+sample_batch_size: 4
+scale_lr: false
+seed: null
+set_grads_to_none: true
+skip_save_text_encoder: true
+text_encoder_use_attention_mask: true
+tokenizer_max_length: 77
+tokenizer_name: null
+train_batch_size: 4
+train_text_encoder: false
+use_8bit_adam: true
+validation_images: null
+validation_prompt: a photo of sks dog
+validation_steps: 25
+with_prior_preservation: false

logs/dreambooth/events.out.tfevents.1689550247.nid001005.122566.0

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model_index.json

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+  "_class_name": "IFPipeline",
+  "_diffusers_version": "0.19.0.dev0",
+  "_name_or_path": "DeepFloyd/IF-I-XL-v1.0",
+  "feature_extractor": [
+    "transformers",
+    "CLIPImageProcessor"
+  ],
+  "requires_safety_checker": true,
+  "safety_checker": [
+    "deepfloyd_if",
+    "IFSafetyChecker"
+  ],
+  "scheduler": [
+    "diffusers",
+    "DDPMScheduler"
+  ],
+  "text_encoder": [
+    null,
+    null
+  ],
+  "tokenizer": [
+    "transformers",
+    "T5Tokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "watermarker": [
+    "deepfloyd_if",
+    "IFWatermarker"
+  ]
+}

safety_checker/config.json

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watermarker/config.json

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+{
+  "_class_name": "IFWatermarker",
+  "_diffusers_version": "0.19.0.dev0",
+  "_name_or_path": "/lus/snx11253/luco/cse/.cache/huggingface/hub/models--DeepFloyd--IF-I-XL-v1.0/snapshots/c03d510e9b75bce9f9db5bb85148c1402ad7e694/watermarker"
+}

watermarker/diffusion_pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:febe0a7711807b6700cc91b38bbcaa129568a1915cff9b9ccfa25e5b700ad639
+size 62491