End of training
Browse files- README.md +62 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scaler.pt +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-2000/optimizer.bin +3 -0
- checkpoint-2000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-2000/random_states_0.pkl +3 -0
- checkpoint-2000/scaler.pt +3 -0
- checkpoint-2000/scheduler.bin +3 -0
- checkpoint-3000/optimizer.bin +3 -0
- checkpoint-3000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-3000/random_states_0.pkl +3 -0
- checkpoint-3000/scaler.pt +3 -0
- checkpoint-3000/scheduler.bin +3 -0
- checkpoint-4000/optimizer.bin +3 -0
- checkpoint-4000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-4000/random_states_0.pkl +3 -0
- checkpoint-4000/scaler.pt +3 -0
- checkpoint-4000/scheduler.bin +3 -0
- checkpoint-5000/optimizer.bin +3 -0
- checkpoint-5000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-5000/random_states_0.pkl +3 -0
- checkpoint-5000/scaler.pt +3 -0
- checkpoint-5000/scheduler.bin +3 -0
- logs/dreambooth-lora-sd-xl/1731872491.4727373/events.out.tfevents.1731872491.lambda-hyperplane.44585.1 +3 -0
- logs/dreambooth-lora-sd-xl/1731872491.474487/hparams.yml +68 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1731872491.lambda-hyperplane.44585.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
README.md
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+
---
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license: openrail++
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library_name: diffusers
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tags:
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- text-to-image
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- stable-diffusion-xl
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- stable-diffusion-xl-diffusers
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- text-to-image
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- diffusers
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- lora
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- template:sd-lora
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: 'Thermal images: A pickup truck in the center of the image. The image
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was captured at a range of 1000 meters during the late morning hours.'
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widget: []
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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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# SDXL LoRA DreamBooth - Chengbin124/atr_i1co_background_finetuned_model
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<Gallery />
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## Model description
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These are Chengbin124/atr_i1co_background_finetuned_model LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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The weights were trained using [DreamBooth](https://dreambooth.github.io/).
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LoRA for the text encoder was enabled: False.
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Special VAE used for training: None.
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## Trigger words
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You should use Thermal images: A pickup truck in the center of the image. The image was captured at a range of 1000 meters during the late morning hours. to trigger the image generation.
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](Chengbin124/atr_i1co_background_finetuned_model/tree/main) them in the Files & versions tab.
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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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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: 0.0001
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adam_weight_decay_text_encoder: 0.001
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allow_tf32: false
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cache_dir: null
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caption_column: caption
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center_crop: false
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checkpointing_steps: 1000
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checkpoints_total_limit: null
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class_data_dir: null
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class_prompt: null
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dataloader_num_workers: 0
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dataset_config_name: null
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dataset_name: /home/chengbin_zhu/GenAi/GenModel/models/stability_ai/finetuning/i1co_images
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 3
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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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image_column: image
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instance_data_dir: null
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instance_prompt: 'Thermal images: A pickup truck in the center of the image. The image
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was captured at a range of 1000 meters during the late morning hours.'
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| 26 |
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learning_rate: 5.0e-06
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| 27 |
+
local_rank: -1
|
| 28 |
+
logging_dir: logs
|
| 29 |
+
lr_num_cycles: 1
|
| 30 |
+
lr_power: 1.0
|
| 31 |
+
lr_scheduler: constant
|
| 32 |
+
lr_warmup_steps: 0
|
| 33 |
+
max_grad_norm: 1.0
|
| 34 |
+
max_train_steps: 5000
|
| 35 |
+
mixed_precision: fp16
|
| 36 |
+
num_class_images: 100
|
| 37 |
+
num_train_epochs: 5000
|
| 38 |
+
num_validation_images: 4
|
| 39 |
+
optimizer: AdamW
|
| 40 |
+
output_dir: atr_i1co_background_finetuned_model
|
| 41 |
+
pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
|
| 42 |
+
pretrained_vae_model_name_or_path: null
|
| 43 |
+
prior_generation_precision: null
|
| 44 |
+
prior_loss_weight: 1.0
|
| 45 |
+
prodigy_beta3: null
|
| 46 |
+
prodigy_decouple: true
|
| 47 |
+
prodigy_safeguard_warmup: true
|
| 48 |
+
prodigy_use_bias_correction: true
|
| 49 |
+
push_to_hub: true
|
| 50 |
+
random_flip: false
|
| 51 |
+
rank: 4
|
| 52 |
+
repeats: 1
|
| 53 |
+
report_to: tensorboard
|
| 54 |
+
resolution: 1024
|
| 55 |
+
resume_from_checkpoint: null
|
| 56 |
+
revision: null
|
| 57 |
+
sample_batch_size: 4
|
| 58 |
+
scale_lr: false
|
| 59 |
+
seed: null
|
| 60 |
+
snr_gamma: null
|
| 61 |
+
text_encoder_lr: 5.0e-06
|
| 62 |
+
train_batch_size: 3
|
| 63 |
+
train_text_encoder: false
|
| 64 |
+
use_8bit_adam: false
|
| 65 |
+
validation_epochs: 50
|
| 66 |
+
validation_prompt: null
|
| 67 |
+
variant: null
|
| 68 |
+
with_prior_preservation: false
|
logs/dreambooth-lora-sd-xl/events.out.tfevents.1731872491.lambda-hyperplane.44585.0
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 419834
|
pytorch_lora_weights.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 3 |
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size 23390424
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