End of training

README.md

@@ -2,21 +2,16 @@
 ---
 license: creativeml-openrail-m
 base_model: stabilityai/stable-diffusion-2-1
-instance_prompt: a photo of <new1> Shih Tzu
 tags:
 - stable-diffusion
 - stable-diffusion-diffusers
 - text-to-image
 - diffusers
-- custom-diffusion
+- textual_inversion
 inference: true
 ---
     
-# Custom Diffusion - briannlongzhao/14
+# Textual inversion text2image fine-tuning - briannlongzhao/14
+These are textual inversion adaption weights for stabilityai/stable-diffusion-2-1. You can find some example images in the following. 
 
-These are Custom Diffusion adaption weights for stabilityai/stable-diffusion-2-1. The weights were trained on a photo of <new1> Shih Tzu using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following. 
 
-
-
-
-For more details on the training, please follow [this link](https://github.com/huggingface/diffusers/blob/main/examples/custom_diffusion).

learned_embeds.safetensors

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logs/textual_inversion/1706453945.1587198/events.out.tfevents.1706453945.node-0.2597.1

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logs/textual_inversion/1706453945.6462321/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_name: Shih Tzu
+dataloader_num_workers: 0
+enable_xformers_memory_efficient_attention: true
+gradient_accumulation_steps: 4
+gradient_checkpointing: false
+hub_model_id: null
+hub_token: null
+idx: 14
+initializer_token: Shih Tzu
+learnable_property: object
+learning_rate: 0.008
+local_rank: -1
+logging_dir: logs
+lr_num_cycles: 1
+lr_scheduler: constant
+lr_warmup_steps: 0
+max_train_steps: 35
+mixed_precision: fp16
+no_safe_serialization: false
+num_train_epochs: 5
+num_validation_images: 4
+num_vectors: 1
+output_dir: /mnt/default/textual_inversion_models_medium/14
+placeholder_token: <Shih Tzu>
+pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1
+push_to_hub: true
+repeats: 1
+report_to: tensorboard
+resolution: 512
+resume_from_checkpoint: null
+revision: null
+save_as_full_pipeline: false
+save_steps: 500
+scale_lr: true
+seed: null
+tokenizer_name: null
+train_batch_size: 4
+train_data_dir: /mnt/default/imagenet/images/train_medium/n02086240
+validation_epochs: null
+validation_prompt: null
+validation_steps: 100
+wnid: n02086240

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text_encoder/config.json

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   "num_hidden_layers": 23,
   "pad_token_id": 1,
   "projection_dim": 512,
-  "torch_dtype": "float16",
+  "torch_dtype": "float32",
   "transformers_version": "4.28.1",
-  "vocab_size": 49408
+  "vocab_size": 49409
 }

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vae/config.json

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 {
   "_class_name": "AutoencoderKL",
   "_diffusers_version": "0.25.1",
-  "_name_or_path": "/home/aiscuser/.cache/huggingface/hub/models--stabilityai--stable-diffusion-2-1/snapshots/5cae40e6a2745ae2b01ad92ae5043f95f23644d6/vae",
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   "act_fn": "silu",
   "block_out_channels": [
     128,

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