End of training
Browse files- README.md +72 -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/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/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/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/scheduler.bin +3 -0
- logs/dreambooth-flux-dev-lora/1742853622.235698/events.out.tfevents.1742853622.192-222-56-88.66662.1 +3 -0
- logs/dreambooth-flux-dev-lora/1742853622.2455018/hparams.yml +73 -0
- logs/dreambooth-flux-dev-lora/events.out.tfevents.1742853622.192-222-56-88.66662.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
README.md
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+
---
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base_model: black-forest-labs/FLUX.1-dev
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library_name: diffusers
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license: other
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instance_prompt: a photo of xjiminx
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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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- flux
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- flux-diffusers
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- template:sd-lora
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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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# Flux DreamBooth LoRA - xgemstarx/subset_2_step_2048_model
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<Gallery />
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## Model description
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These are xgemstarx/subset_2_step_2048_model DreamBooth LoRA weights for black-forest-labs/FLUX.1-dev.
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The weights were trained using [DreamBooth](https://dreambooth.github.io/) with the [Flux diffusers trainer](https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/README_flux.md).
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Was LoRA for the text encoder enabled? False.
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## Trigger words
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You should use `a photo of xjiminx` to trigger the image generation.
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## Download model
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[Download the *.safetensors LoRA](xgemstarx/subset_2_step_2048_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("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to('cuda')
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pipeline.load_lora_weights('xgemstarx/subset_2_step_2048_model', weight_name='pytorch_lora_weights.safetensors')
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image = pipeline('a photo of xjiminx').images[0]
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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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## License
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Please adhere to the licensing terms as described [here](https://huggingface.co/black-forest-labs/FLUX.1-dev/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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checkpoint-1000/optimizer.bin
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checkpoint-1000/pytorch_lora_weights.safetensors
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checkpoint-1000/random_states_0.pkl
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checkpoint-1500/optimizer.bin
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checkpoint-1500/pytorch_lora_weights.safetensors
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checkpoint-500/pytorch_lora_weights.safetensors
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checkpoint-500/random_states_0.pkl
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logs/dreambooth-flux-dev-lora/1742853622.235698/events.out.tfevents.1742853622.192-222-56-88.66662.1
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logs/dreambooth-flux-dev-lora/1742853622.2455018/hparams.yml
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| 1 |
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adam_beta1: 0.9
|
| 2 |
+
adam_beta2: 0.999
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| 3 |
+
adam_epsilon: 1.0e-08
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| 4 |
+
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
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| 7 |
+
cache_dir: null
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| 8 |
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cache_latents: false
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| 9 |
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caption_column: null
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| 10 |
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center_crop: false
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| 11 |
+
checkpointing_steps: 500
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| 12 |
+
checkpoints_total_limit: null
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| 13 |
+
class_data_dir: null
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| 14 |
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class_prompt: null
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| 15 |
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dataloader_num_workers: 0
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| 16 |
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dataset_config_name: null
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| 17 |
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dataset_name: null
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| 18 |
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gradient_accumulation_steps: 4
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| 19 |
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gradient_checkpointing: false
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| 20 |
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guidance_scale: 1.0
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| 21 |
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hub_model_id: null
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| 22 |
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hub_token: null
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| 23 |
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image_column: image
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| 24 |
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instance_data_dir: subset_2
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| 25 |
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instance_prompt: a photo of xjiminx
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| 26 |
+
learning_rate: 1.0
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| 27 |
+
local_rank: -1
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| 28 |
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logging_dir: logs
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| 29 |
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logit_mean: 0.0
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| 30 |
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logit_std: 1.0
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| 31 |
+
lora_layers: null
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| 32 |
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lr_num_cycles: 1
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| 33 |
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lr_power: 1.0
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| 34 |
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lr_scheduler: constant
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| 35 |
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lr_warmup_steps: 0
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| 36 |
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max_grad_norm: 1.0
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| 37 |
+
max_sequence_length: 512
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| 38 |
+
max_train_steps: 2048
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| 39 |
+
mixed_precision: bf16
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| 40 |
+
mode_scale: 1.29
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| 41 |
+
num_class_images: 100
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| 42 |
+
num_train_epochs: 2048
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| 43 |
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num_validation_images: 4
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| 44 |
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optimizer: prodigy
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| 45 |
+
output_dir: subset_2_step_2048_model
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| 46 |
+
pretrained_model_name_or_path: black-forest-labs/FLUX.1-dev
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| 47 |
+
prior_generation_precision: null
|
| 48 |
+
prior_loss_weight: 1.0
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| 49 |
+
prodigy_beta3: null
|
| 50 |
+
prodigy_decouple: true
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| 51 |
+
prodigy_safeguard_warmup: true
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| 52 |
+
prodigy_use_bias_correction: true
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| 53 |
+
push_to_hub: true
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| 54 |
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random_flip: false
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| 55 |
+
rank: 4
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| 56 |
+
repeats: 1
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| 57 |
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report_to: tensorboard
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| 58 |
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resolution: 512
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| 59 |
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resume_from_checkpoint: null
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| 60 |
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revision: null
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| 61 |
+
sample_batch_size: 4
|
| 62 |
+
scale_lr: false
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| 63 |
+
seed: 0
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| 64 |
+
text_encoder_lr: 5.0e-06
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| 65 |
+
train_batch_size: 1
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| 66 |
+
train_text_encoder: false
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| 67 |
+
upcast_before_saving: false
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| 68 |
+
use_8bit_adam: false
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| 69 |
+
validation_epochs: 50
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| 70 |
+
validation_prompt: null
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| 71 |
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variant: null
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| 72 |
+
weighting_scheme: none
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| 73 |
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with_prior_preservation: false
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logs/dreambooth-flux-dev-lora/events.out.tfevents.1742853622.192-222-56-88.66662.0
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