End of training
Browse files- README.md +78 -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-1500/optimizer.bin +3 -0
- checkpoint-1500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1500/random_states_0.pkl +3 -0
- checkpoint-1500/scaler.pt +3 -0
- checkpoint-1500/scheduler.bin +3 -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
- logs/dreambooth-sd3-lora/1739196469.96637/events.out.tfevents.1739196469.atenea.2718466.1 +3 -0
- logs/dreambooth-sd3-lora/1739196469.967274/hparams.yml +74 -0
- logs/dreambooth-sd3-lora/1739196520.3937376/events.out.tfevents.1739196520.atenea.2718936.1 +3 -0
- logs/dreambooth-sd3-lora/1739196520.3946385/hparams.yml +74 -0
- logs/dreambooth-sd3-lora/1739197081.2585495/events.out.tfevents.1739197081.atenea.2722003.1 +3 -0
- logs/dreambooth-sd3-lora/1739197081.2592967/hparams.yml +74 -0
- logs/dreambooth-sd3-lora/events.out.tfevents.1739196469.atenea.2718466.0 +3 -0
- logs/dreambooth-sd3-lora/events.out.tfevents.1739196520.atenea.2718936.0 +3 -0
- logs/dreambooth-sd3-lora/events.out.tfevents.1739197081.atenea.2722003.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
README.md
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| 1 |
+
---
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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 lep
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widget: []
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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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<!-- 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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# SD3 DreamBooth LoRA - MarcosRodrigo/lep-model
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<Gallery />
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## Model description
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These are MarcosRodrigo/lep-model 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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Was LoRA for the text encoder enabled? True.
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## Trigger words
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You should use `a photo of lep` to trigger the image generation.
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## Download model
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[Download the *.safetensors LoRA](MarcosRodrigo/lep-model/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('MarcosRodrigo/lep-model', weight_name='pytorch_lora_weights.safetensors')
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image = pipeline('a photo of lep').images[0]
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```
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### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
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- **LoRA**: download **[`diffusers_lora_weights.safetensors` here 💾](/MarcosRodrigo/lep-model/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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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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## License
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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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## 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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logs/dreambooth-sd3-lora/1739196469.96637/events.out.tfevents.1739196469.atenea.2718466.1
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logs/dreambooth-sd3-lora/1739196469.967274/hparams.yml
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| 1 |
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adam_beta1: 0.9
|
| 2 |
+
adam_beta2: 0.999
|
| 3 |
+
adam_epsilon: 1.0e-08
|
| 4 |
+
adam_weight_decay: 0.0001
|
| 5 |
+
adam_weight_decay_text_encoder: 0.001
|
| 6 |
+
allow_tf32: false
|
| 7 |
+
cache_dir: null
|
| 8 |
+
cache_latents: false
|
| 9 |
+
caption_column: null
|
| 10 |
+
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
|
| 17 |
+
dataset_name: null
|
| 18 |
+
gradient_accumulation_steps: 1
|
| 19 |
+
gradient_checkpointing: false
|
| 20 |
+
hub_model_id: null
|
| 21 |
+
hub_token: null
|
| 22 |
+
image_column: image
|
| 23 |
+
instance_data_dir: /mnt/Data/mrt/lep
|
| 24 |
+
instance_prompt: a photo of lep
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| 25 |
+
learning_rate: 1.0
|
| 26 |
+
local_rank: 0
|
| 27 |
+
logging_dir: logs
|
| 28 |
+
logit_mean: 0.0
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| 29 |
+
logit_std: 1.0
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| 30 |
+
lora_blocks: null
|
| 31 |
+
lora_layers: null
|
| 32 |
+
lr_num_cycles: 1
|
| 33 |
+
lr_power: 1.0
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| 34 |
+
lr_scheduler: constant
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| 35 |
+
lr_warmup_steps: 0
|
| 36 |
+
max_grad_norm: 1.0
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| 37 |
+
max_sequence_length: 77
|
| 38 |
+
max_train_steps: 1500
|
| 39 |
+
mixed_precision: fp16
|
| 40 |
+
mode_scale: 1.29
|
| 41 |
+
num_class_images: 100
|
| 42 |
+
num_train_epochs: 188
|
| 43 |
+
num_validation_images: 4
|
| 44 |
+
optimizer: prodigy
|
| 45 |
+
output_dir: lep-model
|
| 46 |
+
precondition_outputs: 1
|
| 47 |
+
pretrained_model_name_or_path: stabilityai/stable-diffusion-3-medium-diffusers
|
| 48 |
+
prior_generation_precision: null
|
| 49 |
+
prior_loss_weight: 1.0
|
| 50 |
+
prodigy_beta3: null
|
| 51 |
+
prodigy_decouple: true
|
| 52 |
+
prodigy_safeguard_warmup: true
|
| 53 |
+
prodigy_use_bias_correction: true
|
| 54 |
+
push_to_hub: true
|
| 55 |
+
random_flip: false
|
| 56 |
+
rank: 32
|
| 57 |
+
repeats: 1
|
| 58 |
+
report_to: tensorboard
|
| 59 |
+
resolution: 1024
|
| 60 |
+
resume_from_checkpoint: null
|
| 61 |
+
revision: null
|
| 62 |
+
sample_batch_size: 4
|
| 63 |
+
scale_lr: false
|
| 64 |
+
seed: 0
|
| 65 |
+
text_encoder_lr: 1.0
|
| 66 |
+
train_batch_size: 1
|
| 67 |
+
train_text_encoder: true
|
| 68 |
+
upcast_before_saving: false
|
| 69 |
+
use_8bit_adam: false
|
| 70 |
+
validation_epochs: 50
|
| 71 |
+
validation_prompt: null
|
| 72 |
+
variant: null
|
| 73 |
+
weighting_scheme: logit_normal
|
| 74 |
+
with_prior_preservation: false
|
logs/dreambooth-sd3-lora/1739196520.3937376/events.out.tfevents.1739196520.atenea.2718936.1
ADDED
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logs/dreambooth-sd3-lora/1739196520.3946385/hparams.yml
ADDED
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@@ -0,0 +1,74 @@
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image_column: image
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instance_data_dir: /mnt/Data/mrt/lep
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| 24 |
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instance_prompt: a photo of lep
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| 25 |
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learning_rate: 1.0
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rank: 32
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| 66 |
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| 67 |
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train_text_encoder: true
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| 68 |
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| 69 |
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| 70 |
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logs/dreambooth-sd3-lora/1739197081.2585495/events.out.tfevents.1739197081.atenea.2722003.1
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logs/dreambooth-sd3-lora/1739197081.2592967/hparams.yml
ADDED
|
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