anik550689 commited on
Commit
9423e53
1 Parent(s): 20f43fa

End of training

Browse files
README.md ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ ---
3
+ license: openrail++
4
+ base_model: /home/ahmed/.cache/huggingface/hub/models--stabilityai--stable-diffusion-xl-base-1.0/snapshots/bf714989e22c57ddc1c453bf74dab4521acb81d8
5
+ instance_prompt:
6
+ tags:
7
+ - stable-diffusion-xl
8
+ - stable-diffusion-xl-diffusers
9
+ - text-to-image
10
+ - diffusers
11
+ - lora
12
+ inference: true
13
+ ---
14
+
15
+ # LoRA DreamBooth - anik550689/output_model
16
+
17
+ These are LoRA adaption weights for /home/ahmed/.cache/huggingface/hub/models--stabilityai--stable-diffusion-xl-base-1.0/snapshots/bf714989e22c57ddc1c453bf74dab4521acb81d8. The weights were trained on using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
18
+
19
+
20
+
21
+ LoRA for the text encoder was enabled: True.
22
+
23
+ Special VAE used for training: None.
logging_model/dreambooth-lora-sd-xl/1693734024.8197227/events.out.tfevents.1693734024.instance-1.8626.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:75affea074f87ebef2da92b5c0a5f59f72bdcc851d7e6bcbe739fd2947a5440c
3
+ size 3102
logging_model/dreambooth-lora-sd-xl/1693734024.8238077/hparams.yml ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ accelerator_config_path: /root/.cache/huggingface/accelerate/default_config.yaml
2
+ adam_beta1: 0.9
3
+ adam_beta2: 0.999
4
+ adam_epsilon: 1.0e-08
5
+ adam_weight_decay: 0.01
6
+ allow_tf32: false
7
+ cache_latents: true
8
+ center_crop: false
9
+ checkpointing_steps: 500
10
+ checkpoints_total_limit: null
11
+ class_data_dir: null
12
+ class_prompt: null
13
+ crops_coords_top_left_h: 0
14
+ crops_coords_top_left_w: 0
15
+ dataloader_num_workers: 0
16
+ enable_xformers_memory_efficient_attention: false
17
+ gradient_accumulation_steps: 1
18
+ gradient_checkpointing: true
19
+ hub_model_id: null
20
+ hub_token: null
21
+ image_captions_filename: true
22
+ instance_data_dir: instance_images
23
+ instance_prompt: ''
24
+ learning_rate: 2.0e-06
25
+ local_rank: -1
26
+ logging_dir: logging_model
27
+ lr_num_cycles: 1
28
+ lr_power: 1.0
29
+ lr_scheduler: polynomial
30
+ lr_warmup_steps: 0
31
+ max_grad_norm: 1.0
32
+ max_train_steps: 150
33
+ mixed_precision: fp16
34
+ num_class_images: 100
35
+ num_train_epochs: 150
36
+ num_validation_images: 4
37
+ output_dir: output_model
38
+ pretrained_model_name_or_path: /home/ahmed/.cache/huggingface/hub/models--stabilityai--stable-diffusion-xl-base-1.0/snapshots/bf714989e22c57ddc1c453bf74dab4521acb81d8
39
+ pretrained_vae_model_name_or_path: null
40
+ prior_generation_precision: null
41
+ prior_loss_weight: 1.0
42
+ push_to_hub: true
43
+ rank: 4
44
+ report_to: tensorboard
45
+ resolution: 512
46
+ resume_from_checkpoint: null
47
+ revision: null
48
+ sample_batch_size: 4
49
+ save_n_steps: 0
50
+ save_starting_step: 0
51
+ scale_lr: false
52
+ seed: 42
53
+ stop_text_encoder_training: 105
54
+ train_batch_size: 1
55
+ train_text_encoder: true
56
+ use_8bit_adam: true
57
+ validation_epochs: 50
58
+ validation_prompt: null
59
+ with_prior_preservation: false
logging_model/dreambooth-lora-sd-xl/events.out.tfevents.1693734024.instance-1.8626.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9d07c5a313bbf537e803d1b77082159dd8dc1ba1ca38d985f38844e948b25013
3
+ size 12434
pytorch_lora_weights.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:933fae8119689b913acae4bc3f51a02ac39605bd17554fa5cf2c1239f562f0ba
3
+ size 29879504