End of training
Browse files- .gitattributes +4 -0
- README.md +99 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scaler.pt +3 -0
- checkpoint-500/scheduler.bin +3 -0
- image_0.png +3 -0
- image_1.png +3 -0
- image_2.png +3 -0
- image_3.png +3 -0
- logs/dreambooth-sd3-lora/1740873573.5442185/events.out.tfevents.1740873573.g338.1309467.1 +3 -0
- logs/dreambooth-sd3-lora/1740873573.5632293/hparams.yml +77 -0
- logs/dreambooth-sd3-lora/1740873878.9930742/events.out.tfevents.1740873878.g338.1310293.1 +3 -0
- logs/dreambooth-sd3-lora/1740873879.006852/hparams.yml +77 -0
- logs/dreambooth-sd3-lora/events.out.tfevents.1740873573.g338.1309467.0 +3 -0
- logs/dreambooth-sd3-lora/events.out.tfevents.1740873878.g338.1310293.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
.gitattributes
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@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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image_0.png filter=lfs diff=lfs merge=lfs -text
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image_1.png filter=lfs diff=lfs merge=lfs -text
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image_2.png filter=lfs diff=lfs merge=lfs -text
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image_3.png filter=lfs diff=lfs merge=lfs -text
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README.md
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+
---
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+
base_model: stabilityai/stable-diffusion-3-medium-diffusers
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+
library_name: diffusers
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+
license: other
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+
instance_prompt: a photo of a young canola plant that is about 20 days old. It has
|
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+
five leaves that are starting to develop
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+
widget:
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+
- text: A photo of a young canola plant, about 20 to 29 days old with five developing
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leaves. It is growing in dark, nutrient-rich soil. It is contained within a smooth,
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+
bright blue cylindrical cup on a bright blue background
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output:
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+
url: image_0.png
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+
- text: A photo of a young canola plant, about 20 to 29 days old with five developing
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+
leaves. It is growing in dark, nutrient-rich soil. It is contained within a smooth,
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+
bright blue cylindrical cup on a bright blue background
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+
output:
|
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+
url: image_1.png
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+
- text: A photo of a young canola plant, about 20 to 29 days old with five developing
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+
leaves. It is growing in dark, nutrient-rich soil. It is contained within a smooth,
|
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+
bright blue cylindrical cup on a bright blue background
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+
output:
|
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+
url: image_2.png
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+
- text: A photo of a young canola plant, about 20 to 29 days old with five developing
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+
leaves. It is growing in dark, nutrient-rich soil. It is contained within a smooth,
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+
bright blue cylindrical cup on a bright blue background
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+
output:
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url: image_3.png
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tags:
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+
- text-to-image
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+
- diffusers-training
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+
- diffusers
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+
- lora
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- template:sd-lora
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- sd3
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- sd3-diffusers
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---
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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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+
|
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+
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+
# SD3 DreamBooth LoRA - rdeinla/test-can-2
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<Gallery />
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## Model description
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These are rdeinla/test-can-2 DreamBooth LoRA weights for stabilityai/stable-diffusion-3-medium-diffusers.
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The weights were trained using [DreamBooth](https://dreambooth.github.io/) with the [SD3 diffusers trainer](https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/README_sd3.md).
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+
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Was LoRA for the text encoder enabled? False.
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## Trigger words
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+
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You should use `a photo of a young canola plant that is about 20 days old. It has five leaves that are starting to develop` to trigger the image generation.
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## Download model
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[Download the *.safetensors LoRA](rdeinla/test-can-2/tree/main) in the Files & versions tab.
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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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```py
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from diffusers import AutoPipelineForText2Image
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import torch
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pipeline = AutoPipelineForText2Image.from_pretrained(stabilityai/stable-diffusion-3-medium-diffusers, torch_dtype=torch.float16).to('cuda')
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+
pipeline.load_lora_weights('rdeinla/test-can-2', weight_name='pytorch_lora_weights.safetensors')
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+
image = pipeline('A photo of a young canola plant, about 20 to 29 days old with five developing leaves. It is growing in dark, nutrient-rich soil. It is contained within a smooth, bright blue cylindrical cup on a bright blue background').images[0]
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+
```
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+
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### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
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+
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- **LoRA**: download **[`diffusers_lora_weights.safetensors` here 💾](/rdeinla/test-can-2/blob/main/diffusers_lora_weights.safetensors)**.
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+
- Rename it and place it on your `models/Lora` folder.
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+
- On AUTOMATIC1111, load the LoRA by adding `<lora:your_new_name:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/).
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+
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For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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+
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## License
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+
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Please adhere to the licensing terms as described [here](https://huggingface.co/stabilityai/stable-diffusion-3-medium/blob/main/LICENSE.md).
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+
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## Intended uses & limitations
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+
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#### How to use
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+
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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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+
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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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checkpoint-500/optimizer.bin
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checkpoint-500/pytorch_lora_weights.safetensors
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checkpoint-500/random_states_0.pkl
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checkpoint-500/scaler.pt
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checkpoint-500/scheduler.bin
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size 1000
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image_0.png
ADDED
![]() |
Git LFS Details
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image_1.png
ADDED
![]() |
Git LFS Details
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image_2.png
ADDED
![]() |
Git LFS Details
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image_3.png
ADDED
![]() |
Git LFS Details
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logs/dreambooth-sd3-lora/1740873573.5442185/events.out.tfevents.1740873573.g338.1309467.1
ADDED
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logs/dreambooth-sd3-lora/1740873573.5632293/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: 0.0001
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5 |
+
adam_weight_decay_text_encoder: 0.001
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6 |
+
allow_tf32: false
|
7 |
+
cache_dir: null
|
8 |
+
cache_latents: false
|
9 |
+
caption_column: null
|
10 |
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center_crop: false
|
11 |
+
checkpointing_steps: 500
|
12 |
+
checkpoints_total_limit: null
|
13 |
+
class_data_dir: null
|
14 |
+
class_prompt: null
|
15 |
+
dataloader_num_workers: 0
|
16 |
+
dataset_config_name: null
|
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+
dataset_name: null
|
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+
gradient_accumulation_steps: 1
|
19 |
+
gradient_checkpointing: false
|
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+
hub_model_id: null
|
21 |
+
hub_token: null
|
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+
image_column: image
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+
instance_data_dir: /project/6085367/SharedData/tuning_dp/diffusers/examples/dreambooth/Canola/20to29days/20to29-train-img2
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+
instance_prompt: a photo of the cotyledon leaves of a canola plant growing in a bright
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25 |
+
blue cup
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26 |
+
learning_rate: 0.000456
|
27 |
+
local_rank: 0
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28 |
+
logging_dir: logs
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29 |
+
logit_mean: 0.0
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30 |
+
logit_std: 1.0
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31 |
+
lora_blocks: null
|
32 |
+
lora_layers: null
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33 |
+
lr_num_cycles: 1
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34 |
+
lr_power: 1.0
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35 |
+
lr_scheduler: constant
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36 |
+
lr_warmup_steps: 8
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+
max_grad_norm: 1.0
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38 |
+
max_sequence_length: 77
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39 |
+
max_train_steps: 855
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+
mixed_precision: fp16
|
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+
mode_scale: 1.29
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+
num_class_images: 100
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+
num_train_epochs: 285
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44 |
+
num_validation_images: 4
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+
optimizer: AdamW
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+
output_dir: /project/6085367/SharedData/diffusers/examples/dreambooth/trained-sd3-outputs/test-can-2
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+
precondition_outputs: 1
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48 |
+
pretrained_model_name_or_path: stabilityai/stable-diffusion-3-medium-diffusers
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49 |
+
prior_generation_precision: null
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50 |
+
prior_loss_weight: 1.0
|
51 |
+
prodigy_beta3: null
|
52 |
+
prodigy_decouple: true
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53 |
+
prodigy_safeguard_warmup: true
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54 |
+
prodigy_use_bias_correction: true
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55 |
+
push_to_hub: true
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56 |
+
random_flip: false
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57 |
+
rank: 4
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58 |
+
repeats: 1
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59 |
+
report_to: tensorboard
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60 |
+
resolution: 768
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61 |
+
resume_from_checkpoint: null
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62 |
+
revision: null
|
63 |
+
sample_batch_size: 4
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64 |
+
scale_lr: false
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65 |
+
seed: 42
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66 |
+
text_encoder_lr: 5.0e-06
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67 |
+
train_batch_size: 2
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68 |
+
train_text_encoder: false
|
69 |
+
upcast_before_saving: false
|
70 |
+
use_8bit_adam: false
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+
validation_epochs: 3
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+
validation_prompt: A photo of a canola plant's cotyledon leaves. The canola plant
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+
is around 0 to 9 days old. It is growing in dark, nutrient-rich soil. It is contained
|
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+
within a smooth, bright blue cylindrical cup on a bright blue background
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75 |
+
variant: null
|
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+
weighting_scheme: logit_normal
|
77 |
+
with_prior_preservation: false
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logs/dreambooth-sd3-lora/1740873878.9930742/events.out.tfevents.1740873878.g338.1310293.1
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logs/dreambooth-sd3-lora/1740873879.006852/hparams.yml
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adam_beta1: 0.9
|
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adam_beta2: 0.999
|
3 |
+
adam_epsilon: 1.0e-08
|
4 |
+
adam_weight_decay: 0.0001
|
5 |
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adam_weight_decay_text_encoder: 0.001
|
6 |
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allow_tf32: false
|
7 |
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cache_dir: null
|
8 |
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cache_latents: false
|
9 |
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caption_column: null
|
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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_prompt: null
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dataloader_num_workers: 0
|
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dataset_config_name: null
|
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dataset_name: null
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gradient_accumulation_steps: 1
|
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gradient_checkpointing: false
|
20 |
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hub_model_id: null
|
21 |
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hub_token: null
|
22 |
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image_column: image
|
23 |
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instance_data_dir: /project/6085367/SharedData/tuning_dp/diffusers/examples/dreambooth/Canola/20to29days/20to29-train-img2
|
24 |
+
instance_prompt: a photo of a young canola plant that is about 20 days old. It has
|
25 |
+
five leaves that are starting to develop
|
26 |
+
learning_rate: 0.000456
|
27 |
+
local_rank: 0
|
28 |
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logging_dir: logs
|
29 |
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logit_mean: 0.0
|
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logit_std: 1.0
|
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lora_blocks: null
|
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lora_layers: 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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|
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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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validation_prompt: A photo of a young canola plant, about 20 to 29 days old with five
|
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developing leaves. It is growing in dark, nutrient-rich soil. It is contained within
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a smooth, bright blue cylindrical cup on a bright blue background
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|
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