ngoga commited on
Commit
d1c350b
1 Parent(s): d0ca238

End of training

Browse files
README.md ADDED
@@ -0,0 +1,62 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: openrail++
3
+ library_name: diffusers
4
+ tags:
5
+ - text-to-image
6
+ - text-to-image
7
+ - diffusers-training
8
+ - diffusers
9
+ - dora
10
+ - template:sd-lora
11
+ - stable-diffusion-xl
12
+ - stable-diffusion-xl-diffusers
13
+ base_model: stabilityai/stable-diffusion-xl-base-1.0
14
+ instance_prompt: a photo of cup
15
+ widget: []
16
+ ---
17
+
18
+ <!-- This model card has been generated automatically according to the information the training script had access to. You
19
+ should probably proofread and complete it, then remove this comment. -->
20
+
21
+
22
+ # SDXL LoRA DreamBooth - ngoga/corgy_cup_LoRA
23
+
24
+ <Gallery />
25
+
26
+ ## Model description
27
+
28
+ These are ngoga/corgy_cup_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
29
+
30
+ The weights were trained using [DreamBooth](https://dreambooth.github.io/).
31
+
32
+ LoRA for the text encoder was enabled: False.
33
+
34
+ Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
35
+
36
+ ## Trigger words
37
+
38
+ You should use a photo of cup to trigger the image generation.
39
+
40
+ ## Download model
41
+
42
+ Weights for this model are available in Safetensors format.
43
+
44
+ [Download](ngoga/corgy_cup_LoRA/tree/main) them in the Files & versions tab.
45
+
46
+
47
+
48
+ ## Intended uses & limitations
49
+
50
+ #### How to use
51
+
52
+ ```python
53
+ # TODO: add an example code snippet for running this diffusion pipeline
54
+ ```
55
+
56
+ #### Limitations and bias
57
+
58
+ [TODO: provide examples of latent issues and potential remediations]
59
+
60
+ ## Training details
61
+
62
+ [TODO: describe the data used to train the model]
logs/dreambooth-lora-sd-xl/1713377522.0185935/events.out.tfevents.1713377522.956a2b49a8a8.2615343.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f1761302958782751babd8410d5ae7ab920afe0b491f9e868f7bcd88b3f475d9
3
+ size 3291
logs/dreambooth-lora-sd-xl/1713377522.020605/hparams.yml ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 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
+ caption_column: prompt
9
+ center_crop: false
10
+ checkpointing_steps: 717
11
+ checkpoints_total_limit: null
12
+ class_data_dir: null
13
+ class_prompt: null
14
+ dataloader_num_workers: 0
15
+ dataset_config_name: null
16
+ dataset_name: cup
17
+ do_edm_style_training: false
18
+ enable_xformers_memory_efficient_attention: false
19
+ gradient_accumulation_steps: 3
20
+ gradient_checkpointing: true
21
+ hub_model_id: null
22
+ hub_token: null
23
+ image_column: image
24
+ instance_data_dir: null
25
+ instance_prompt: a photo of cup
26
+ learning_rate: 0.0001
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: 100
35
+ mixed_precision: fp16
36
+ num_class_images: 100
37
+ num_train_epochs: 50
38
+ num_validation_images: 4
39
+ optimizer: AdamW
40
+ output_dir: corgy_cup_LoRA
41
+ output_kohya_format: false
42
+ pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
43
+ pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
44
+ prior_generation_precision: null
45
+ prior_loss_weight: 1.0
46
+ prodigy_beta3: null
47
+ prodigy_decouple: true
48
+ prodigy_safeguard_warmup: true
49
+ prodigy_use_bias_correction: true
50
+ push_to_hub: false
51
+ random_flip: false
52
+ rank: 4
53
+ repeats: 1
54
+ report_to: tensorboard
55
+ resolution: 1024
56
+ resume_from_checkpoint: null
57
+ revision: null
58
+ sample_batch_size: 4
59
+ scale_lr: false
60
+ seed: 0
61
+ snr_gamma: 5.0
62
+ text_encoder_lr: 5.0e-06
63
+ train_batch_size: 1
64
+ train_text_encoder: false
65
+ use_8bit_adam: true
66
+ use_dora: false
67
+ validation_epochs: 50
68
+ validation_prompt: null
69
+ variant: null
70
+ with_prior_preservation: false
logs/dreambooth-lora-sd-xl/1713383429.1896937/events.out.tfevents.1713383429.956a2b49a8a8.2634735.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:859dbc78bf2b9f1369921252eed3d51231b5ddce5e1de58d748b335c86de527b
3
+ size 3291
logs/dreambooth-lora-sd-xl/1713383429.1920648/hparams.yml ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 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
+ caption_column: prompt
9
+ center_crop: false
10
+ checkpointing_steps: 717
11
+ checkpoints_total_limit: null
12
+ class_data_dir: null
13
+ class_prompt: null
14
+ dataloader_num_workers: 0
15
+ dataset_config_name: null
16
+ dataset_name: cup
17
+ do_edm_style_training: false
18
+ enable_xformers_memory_efficient_attention: false
19
+ gradient_accumulation_steps: 3
20
+ gradient_checkpointing: true
21
+ hub_model_id: null
22
+ hub_token: null
23
+ image_column: image
24
+ instance_data_dir: null
25
+ instance_prompt: a photo of cup
26
+ learning_rate: 0.0001
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: 100
35
+ mixed_precision: fp16
36
+ num_class_images: 100
37
+ num_train_epochs: 50
38
+ num_validation_images: 4
39
+ optimizer: AdamW
40
+ output_dir: corgy_cup_LoRA
41
+ output_kohya_format: false
42
+ pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
43
+ pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
44
+ prior_generation_precision: null
45
+ prior_loss_weight: 1.0
46
+ prodigy_beta3: null
47
+ prodigy_decouple: true
48
+ prodigy_safeguard_warmup: true
49
+ prodigy_use_bias_correction: true
50
+ push_to_hub: false
51
+ random_flip: false
52
+ rank: 4
53
+ repeats: 1
54
+ report_to: tensorboard
55
+ resolution: 1024
56
+ resume_from_checkpoint: null
57
+ revision: null
58
+ sample_batch_size: 4
59
+ scale_lr: false
60
+ seed: 0
61
+ snr_gamma: 5.0
62
+ text_encoder_lr: 5.0e-06
63
+ train_batch_size: 1
64
+ train_text_encoder: false
65
+ use_8bit_adam: true
66
+ use_dora: false
67
+ validation_epochs: 50
68
+ validation_prompt: null
69
+ variant: null
70
+ with_prior_preservation: false
logs/dreambooth-lora-sd-xl/events.out.tfevents.1713377522.956a2b49a8a8.2615343.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:22991f5b6c0a1a45fca3c6a44a24b3eb60f571439a9596dc5488dd7d97117974
3
+ size 20580
logs/dreambooth-lora-sd-xl/events.out.tfevents.1713383429.956a2b49a8a8.2634735.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:256b7093dbc1953a3de74e34716659be49be5de0bb47e29ef24e098b156cb91d
3
+ size 20580
pytorch_lora_weights.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:24e4f0ed8b6104be050e1367d04d1787fafc283dfb8694d4d75bc7d189cc2227
3
+ size 23390424