Commit
•
ca6d4f2
1
Parent(s):
b632b25
End of training
Browse files- README.md +66 -0
- feature_extractor/preprocessor_config.json +44 -0
- logs/text2image-fine-tune/1716539935.653415/events.out.tfevents.1716539935.nl636qq4nt.179.1 +3 -0
- logs/text2image-fine-tune/1716539935.6564825/hparams.yml +53 -0
- logs/text2image-fine-tune/1716539995.7352464/events.out.tfevents.1716539995.nl636qq4nt.212.1 +3 -0
- logs/text2image-fine-tune/1716539995.7384048/hparams.yml +53 -0
- logs/text2image-fine-tune/1716540949.4804423/events.out.tfevents.1716540949.nl636qq4nt.425.1 +3 -0
- logs/text2image-fine-tune/1716540949.4835627/hparams.yml +53 -0
- logs/text2image-fine-tune/1716541399.0247946/events.out.tfevents.1716541399.nl636qq4nt.462.1 +3 -0
- logs/text2image-fine-tune/1716541399.0279002/hparams.yml +53 -0
- logs/text2image-fine-tune/1716541464.0978334/events.out.tfevents.1716541464.nl636qq4nt.488.1 +3 -0
- logs/text2image-fine-tune/1716541464.1016912/hparams.yml +53 -0
- logs/text2image-fine-tune/1716542075.03962/events.out.tfevents.1716542075.nl636qq4nt.531.1 +3 -0
- logs/text2image-fine-tune/1716542075.045276/hparams.yml +53 -0
- logs/text2image-fine-tune/1716542336.4469888/events.out.tfevents.1716542336.nl636qq4nt.584.1 +3 -0
- logs/text2image-fine-tune/1716542336.4501567/hparams.yml +53 -0
- logs/text2image-fine-tune/1716542393.8142512/events.out.tfevents.1716542393.nl636qq4nt.610.1 +3 -0
- logs/text2image-fine-tune/1716542393.8173552/hparams.yml +53 -0
- logs/text2image-fine-tune/1716542435.2836442/events.out.tfevents.1716542435.nl636qq4nt.636.1 +3 -0
- logs/text2image-fine-tune/1716542435.2867408/hparams.yml +53 -0
- logs/text2image-fine-tune/1716547503.442844/events.out.tfevents.1716547503.nl636qq4nt.932.1 +3 -0
- logs/text2image-fine-tune/1716547503.446342/hparams.yml +53 -0
- logs/text2image-fine-tune/events.out.tfevents.1716539935.nl636qq4nt.179.0 +3 -0
- logs/text2image-fine-tune/events.out.tfevents.1716539995.nl636qq4nt.212.0 +3 -0
- logs/text2image-fine-tune/events.out.tfevents.1716540949.nl636qq4nt.425.0 +3 -0
- logs/text2image-fine-tune/events.out.tfevents.1716541399.nl636qq4nt.462.0 +3 -0
- logs/text2image-fine-tune/events.out.tfevents.1716541464.nl636qq4nt.488.0 +3 -0
- logs/text2image-fine-tune/events.out.tfevents.1716542075.nl636qq4nt.531.0 +3 -0
- logs/text2image-fine-tune/events.out.tfevents.1716542336.nl636qq4nt.584.0 +3 -0
- logs/text2image-fine-tune/events.out.tfevents.1716542393.nl636qq4nt.610.0 +3 -0
- logs/text2image-fine-tune/events.out.tfevents.1716542435.nl636qq4nt.636.0 +3 -0
- logs/text2image-fine-tune/events.out.tfevents.1716547503.nl636qq4nt.932.0 +3 -0
- model_index.json +38 -0
- safety_checker/config.json +28 -0
- safety_checker/model.safetensors +3 -0
- scheduler/scheduler_config.json +15 -0
- text_encoder/config.json +25 -0
- text_encoder/model.safetensors +3 -0
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +24 -0
- tokenizer/tokenizer_config.json +30 -0
- tokenizer/vocab.json +0 -0
- unet/config.json +68 -0
- unet/diffusion_pytorch_model.safetensors +3 -0
- vae/config.json +34 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
- val_imgs_grid.png +0 -0
README.md
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---
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license: creativeml-openrail-m
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library_name: diffusers
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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- diffusers-training
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base_model: runwayml/stable-diffusion-v1-5
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inference: true
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---
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Text-to-image finetuning - nbadrinath/ikea_10
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This pipeline was finetuned from **runwayml/stable-diffusion-v1-5** on the **nbadrinath/ikea_all_images** dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['red chair']:
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![val_imgs_grid](./val_imgs_grid.png)
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## Pipeline usage
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You can use the pipeline like so:
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```python
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from diffusers import DiffusionPipeline
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import torch
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pipeline = DiffusionPipeline.from_pretrained("nbadrinath/ikea_10", torch_dtype=torch.float16)
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prompt = "red chair"
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image = pipeline(prompt).images[0]
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image.save("my_image.png")
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```
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## Training info
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These are the key hyperparameters used during training:
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* Epochs: 1
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* Learning rate: 1e-05
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* Batch size: 1
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* Gradient accumulation steps: 4
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* Image resolution: 512
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* Mixed-precision: fp16
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## Intended uses & limitations
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#### How to use
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```python
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# TODO: add an example code snippet for running this diffusion pipeline
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```
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#### Limitations and bias
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[TODO: provide examples of latent issues and potential remediations]
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## Training details
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[TODO: describe the data used to train the model]
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feature_extractor/preprocessor_config.json
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{
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"_valid_processor_keys": [
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"images",
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"do_resize",
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"size",
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"resample",
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"do_center_crop",
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"crop_size",
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"do_rescale",
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"rescale_factor",
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"do_normalize",
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"image_mean",
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"image_std",
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"do_convert_rgb",
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"return_tensors",
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"data_format",
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"input_data_format"
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],
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"crop_size": {
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"height": 224,
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"width": 224
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},
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"do_center_crop": true,
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.48145466,
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0.4578275,
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0.40821073
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],
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"image_processor_type": "CLIPImageProcessor",
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"image_std": [
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0.26862954,
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0.26130258,
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0.27577711
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],
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"shortest_edge": 224
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}
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}
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logs/text2image-fine-tune/1716539935.653415/events.out.tfevents.1716539935.nl636qq4nt.179.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:113554dc3a1c68ef347e94a88efc6921c83f3200f0d5a580ce42e0e53825407e
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size 2330
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logs/text2image-fine-tune/1716539935.6564825/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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cache_dir: null
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caption_column: text
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center_crop: true
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checkpointing_steps: 500
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checkpoints_total_limit: null
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dataloader_num_workers: 0
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dataset_config_name: null
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dataset_name: nbadrinath/ikea_all_images
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dream_detail_preservation: 1.0
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dream_training: false
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enable_xformers_memory_efficient_attention: true
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gradient_accumulation_steps: 4
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gradient_checkpointing: true
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hub_model_id: null
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hub_token: null
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image_column: image
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input_perturbation: 0
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learning_rate: 1.0e-05
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local_rank: -1
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logging_dir: logs
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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_samples: null
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max_train_steps: 10
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mixed_precision: fp16
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noise_offset: 0
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non_ema_revision: null
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num_train_epochs: 1
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output_dir: ikea_10
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prediction_type: null
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pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
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push_to_hub: true
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random_flip: 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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scale_lr: false
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seed: null
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snr_gamma: null
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tracker_project_name: text2image-fine-tune
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train_batch_size: 1
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train_data_dir: null
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use_8bit_adam: false
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use_ema: true
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validation_epochs: 5
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variant: null
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logs/text2image-fine-tune/1716539995.7352464/events.out.tfevents.1716539995.nl636qq4nt.212.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:069670a73c72ee3bf1d8f835a7043f05dc831669ef20202df5bf23f908626f44
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size 2330
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logs/text2image-fine-tune/1716539995.7384048/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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cache_dir: null
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caption_column: text
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center_crop: true
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checkpointing_steps: 500
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checkpoints_total_limit: null
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dataloader_num_workers: 0
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dataset_config_name: null
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dataset_name: nbadrinath/ikea_all_images
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dream_detail_preservation: 1.0
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dream_training: false
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enable_xformers_memory_efficient_attention: true
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gradient_accumulation_steps: 4
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gradient_checkpointing: true
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hub_model_id: null
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hub_token: null
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image_column: image
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input_perturbation: 0
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learning_rate: 1.0e-05
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local_rank: -1
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logging_dir: logs
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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_samples: null
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max_train_steps: 10
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mixed_precision: fp16
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noise_offset: 0
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non_ema_revision: null
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num_train_epochs: 1
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output_dir: ikea_10
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prediction_type: null
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pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
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push_to_hub: true
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random_flip: 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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scale_lr: false
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seed: null
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snr_gamma: null
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tracker_project_name: text2image-fine-tune
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train_batch_size: 1
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train_data_dir: null
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use_8bit_adam: false
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use_ema: true
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validation_epochs: 5
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variant: null
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logs/text2image-fine-tune/1716540949.4804423/events.out.tfevents.1716540949.nl636qq4nt.425.1
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version https://git-lfs.github.com/spec/v1
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logs/text2image-fine-tune/1716540949.4835627/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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cache_dir: null
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caption_column: text
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center_crop: true
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checkpointing_steps: 500
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checkpoints_total_limit: null
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dataloader_num_workers: 0
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dataset_config_name: null
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|
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|
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|
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|
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|
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|
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|
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|
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|
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}
|
text_encoder/model.safetensors
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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size 246144152
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tokenizer/merges.txt
ADDED
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tokenizer/special_tokens_map.json
ADDED
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2 |
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|
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|
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|
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|
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|
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|
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|
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|
15 |
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|
16 |
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|
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|
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|
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|
23 |
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|
24 |
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|
tokenizer/tokenizer_config.json
ADDED
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|
3 |
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|
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|
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|
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|
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|
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|
20 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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tokenizer/vocab.json
ADDED
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unet/config.json
ADDED
@@ -0,0 +1,68 @@
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|
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|
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|
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|
25 |
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|
26 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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}
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unet/diffusion_pytorch_model.safetensors
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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size 3438167536
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vae/config.json
ADDED
@@ -0,0 +1,34 @@
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|
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{
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"_class_name": "AutoencoderKL",
|
3 |
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"_diffusers_version": "0.28.0.dev0",
|
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"_name_or_path": "runwayml/stable-diffusion-v1-5",
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|
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"UpDecoderBlock2D"
|
33 |
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]
|
34 |
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}
|
vae/diffusion_pytorch_model.safetensors
ADDED
@@ -0,0 +1,3 @@
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|
1 |
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version https://git-lfs.github.com/spec/v1
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size 167335342
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val_imgs_grid.png
ADDED
![]() |