End of training
Browse files- README.md +5 -8
- logs/dreambooth/1689330565.6708338/events.out.tfevents.1689330565.Robust-PowerEdge-T640.227912.1 +3 -0
- logs/dreambooth/1689330565.6727362/hparams.yml +58 -0
- logs/dreambooth/events.out.tfevents.1689330565.Robust-PowerEdge-T640.227912.0 +3 -0
- safety_checker/config.json +2 -2
- text_encoder/config.json +1 -1
- text_encoder/pytorch_model.bin +2 -2
- unet/diffusion_pytorch_model.bin +1 -1
- vae/config.json +1 -1
README.md
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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inference: true
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---
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#
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![img_0](./image_0.png)
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![img_1](./image_1.png)
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![img_2](./image_2.png)
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![img_3](./image_3.png)
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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- dreambooth
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inference: true
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---
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# DreamBooth - AaAsr/weight
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This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks dog using [DreamBooth](https://dreambooth.github.io/).
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You can find some example images in the following.
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DreamBooth for the text encoder was enabled: False.
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logs/dreambooth/1689330565.6708338/events.out.tfevents.1689330565.Robust-PowerEdge-T640.227912.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:50b4b46c1c84b13d95e3d8b5b0d8d47772935b21c792572f5c78416781d7e0d4
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size 2661
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logs/dreambooth/1689330565.6727362/hparams.yml
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adam_beta1: 0.9
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adam_beta2: 0.999
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adam_epsilon: 1.0e-08
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adam_weight_decay: 0.01
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allow_tf32: false
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center_crop: false
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checkpointing_steps: 500
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checkpoints_total_limit: null
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class_data_dir: null
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class_labels_conditioning: null
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class_prompt: null
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dataloader_num_workers: 0
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 1
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gradient_checkpointing: false
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hub_model_id: null
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hub_token: null
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instance_data_dir: dog
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instance_prompt: a photo of sks dog
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learning_rate: 5.0e-06
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local_rank: 0
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logging_dir: logs
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lr_num_cycles: 1
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lr_power: 1.0
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lr_scheduler: constant
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lr_warmup_steps: 0
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max_grad_norm: 1.0
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max_train_steps: 400
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mixed_precision: null
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num_class_images: 100
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num_train_epochs: 134
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num_validation_images: 4
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offset_noise: false
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output_dir: ./weight
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pre_compute_text_embeddings: false
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pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
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prior_generation_precision: null
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prior_loss_weight: 1.0
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push_to_hub: true
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report_to: tensorboard
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resolution: 512
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resume_from_checkpoint: null
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revision: null
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sample_batch_size: 4
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scale_lr: false
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seed: null
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set_grads_to_none: false
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skip_save_text_encoder: false
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text_encoder_use_attention_mask: false
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tokenizer_max_length: null
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tokenizer_name: null
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train_batch_size: 1
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train_text_encoder: false
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use_8bit_adam: false
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validation_images: null
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validation_prompt: null
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validation_steps: 100
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with_prior_preservation: false
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logs/dreambooth/events.out.tfevents.1689330565.Robust-PowerEdge-T640.227912.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:638dd2fd5c01136a420d8f8d88ddcf1226be1b53785d1bae84b5d17cb405515c
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size 33434
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safety_checker/config.json
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{
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"_commit_hash": "
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"_name_or_path": "/home/khf/.cache/huggingface/hub/models--CompVis--stable-diffusion-v1-4/snapshots/
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"architectures": [
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"StableDiffusionSafetyChecker"
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],
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{
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"_commit_hash": "b95be7d6f134c3a9e62ee616f310733567f069ce",
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"architectures": [
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"StableDiffusionSafetyChecker"
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],
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text_encoder/config.json
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{
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"_name_or_path": "/
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"architectures": [
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"CLIPTextModel"
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],
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{
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"_name_or_path": "CompVis/stable-diffusion-v1-4",
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"architectures": [
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"CLIPTextModel"
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],
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text_encoder/pytorch_model.bin
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unet/diffusion_pytorch_model.bin
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vae/config.json
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.18.0.dev0",
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"_name_or_path": "/home/khf/.cache/huggingface/hub/models--CompVis--stable-diffusion-v1-4/snapshots/
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"act_fn": "silu",
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"block_out_channels": [
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"_name_or_path": "/home/khf/.cache/huggingface/hub/models--CompVis--stable-diffusion-v1-4/snapshots/b95be7d6f134c3a9e62ee616f310733567f069ce/vae",
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