End of training
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- README.md +17 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_model.bin +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_model.bin +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_model.bin +3 -0
- checkpoint-2000/random_states_0.pkl +3 -0
- checkpoint-2000/scheduler.bin +3 -0
- checkpoint-2500/optimizer.bin +3 -0
- checkpoint-2500/pytorch_model.bin +3 -0
- checkpoint-2500/random_states_0.pkl +3 -0
- checkpoint-2500/scheduler.bin +3 -0
- checkpoint-3000/optimizer.bin +3 -0
- checkpoint-3000/pytorch_model.bin +3 -0
- checkpoint-3000/random_states_0.pkl +3 -0
- checkpoint-3000/scheduler.bin +3 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/pytorch_model.bin +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scheduler.bin +3 -0
- feature_extractor/preprocessor_config.json +28 -0
- learned_embeds-steps-1000.bin +3 -0
- learned_embeds-steps-1500.bin +3 -0
- learned_embeds-steps-2000.bin +3 -0
- learned_embeds-steps-2500.bin +3 -0
- learned_embeds-steps-3000.bin +3 -0
- learned_embeds-steps-500.bin +3 -0
- learned_embeds.bin +3 -0
- logs/textual_inversion/1691774167.796677/events.out.tfevents.1691774167.gpu8-base2.15305.1 +3 -0
- logs/textual_inversion/1691774167.8200846/hparams.yml +46 -0
- logs/textual_inversion/events.out.tfevents.1691774167.gpu8-base2.15305.0 +3 -0
- model_index.json +33 -0
- safety_checker/config.json +168 -0
- safety_checker/pytorch_model.bin +3 -0
- scheduler/scheduler_config.json +15 -0
- text_encoder/config.json +25 -0
- text_encoder/pytorch_model.bin +3 -0
- tokenizer/added_tokens.json +3 -0
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +24 -0
- tokenizer/tokenizer_config.json +33 -0
- tokenizer/vocab.json +0 -0
- unet/config.json +65 -0
- unet/diffusion_pytorch_model.bin +3 -0
- vae/config.json +31 -0
README.md
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---
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license: creativeml-openrail-m
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base_model: runwayml/stable-diffusion-v1-5
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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- textual_inversion
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inference: true
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---
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# Textual inversion text2image fine-tuning - Jade1211/textual_inversion_bear
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These are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.
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"image_std": [
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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: 0.01
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allow_tf32: false
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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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dataloader_num_workers: 0
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 4
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gradient_checkpointing: false
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hub_model_id: null
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hub_token: null
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initializer_token: bear
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learnable_property: object
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learning_rate: 0.002
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local_rank: -1
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logging_dir: logs
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lr_num_cycles: 1
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lr_scheduler: constant
|
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lr_warmup_steps: 0
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max_train_steps: 3000
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mixed_precision: 'no'
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num_train_epochs: 120
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num_validation_images: 4
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num_vectors: 1
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output_dir: test/textual_inversion_bear
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placeholder_token: <special-bear>
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pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
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push_to_hub: true
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repeats: 100
|
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report_to: tensorboard
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resolution: 512
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resume_from_checkpoint: null
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revision: null
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save_as_full_pipeline: false
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save_steps: 500
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scale_lr: true
|
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seed: null
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tokenizer_name: null
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train_batch_size: 1
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train_data_dir: test/bear1
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9 |
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"single_word": false
|
10 |
+
},
|
11 |
+
"clean_up_tokenization_spaces": true,
|
12 |
+
"do_lower_case": true,
|
13 |
+
"eos_token": {
|
14 |
+
"__type": "AddedToken",
|
15 |
+
"content": "<|endoftext|>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": true,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false
|
20 |
+
},
|
21 |
+
"errors": "replace",
|
22 |
+
"model_max_length": 77,
|
23 |
+
"pad_token": "<|endoftext|>",
|
24 |
+
"tokenizer_class": "CLIPTokenizer",
|
25 |
+
"unk_token": {
|
26 |
+
"__type": "AddedToken",
|
27 |
+
"content": "<|endoftext|>",
|
28 |
+
"lstrip": false,
|
29 |
+
"normalized": true,
|
30 |
+
"rstrip": false,
|
31 |
+
"single_word": false
|
32 |
+
}
|
33 |
+
}
|
tokenizer/vocab.json
ADDED
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|
|
unet/config.json
ADDED
@@ -0,0 +1,65 @@
|
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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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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_class_name": "UNet2DConditionModel",
|
3 |
+
"_diffusers_version": "0.18.0.dev0",
|
4 |
+
"_name_or_path": "runwayml/stable-diffusion-v1-5",
|
5 |
+
"act_fn": "silu",
|
6 |
+
"addition_embed_type": null,
|
7 |
+
"addition_embed_type_num_heads": 64,
|
8 |
+
"addition_time_embed_dim": null,
|
9 |
+
"attention_head_dim": 8,
|
10 |
+
"block_out_channels": [
|
11 |
+
320,
|
12 |
+
640,
|
13 |
+
1280,
|
14 |
+
1280
|
15 |
+
],
|
16 |
+
"center_input_sample": false,
|
17 |
+
"class_embed_type": null,
|
18 |
+
"class_embeddings_concat": false,
|
19 |
+
"conv_in_kernel": 3,
|
20 |
+
"conv_out_kernel": 3,
|
21 |
+
"cross_attention_dim": 768,
|
22 |
+
"cross_attention_norm": null,
|
23 |
+
"down_block_types": [
|
24 |
+
"CrossAttnDownBlock2D",
|
25 |
+
"CrossAttnDownBlock2D",
|
26 |
+
"CrossAttnDownBlock2D",
|
27 |
+
"DownBlock2D"
|
28 |
+
],
|
29 |
+
"downsample_padding": 1,
|
30 |
+
"dual_cross_attention": false,
|
31 |
+
"encoder_hid_dim": null,
|
32 |
+
"encoder_hid_dim_type": null,
|
33 |
+
"flip_sin_to_cos": true,
|
34 |
+
"freq_shift": 0,
|
35 |
+
"in_channels": 4,
|
36 |
+
"layers_per_block": 2,
|
37 |
+
"mid_block_only_cross_attention": null,
|
38 |
+
"mid_block_scale_factor": 1,
|
39 |
+
"mid_block_type": "UNetMidBlock2DCrossAttn",
|
40 |
+
"norm_eps": 1e-05,
|
41 |
+
"norm_num_groups": 32,
|
42 |
+
"num_attention_heads": null,
|
43 |
+
"num_class_embeds": null,
|
44 |
+
"only_cross_attention": false,
|
45 |
+
"out_channels": 4,
|
46 |
+
"projection_class_embeddings_input_dim": null,
|
47 |
+
"resnet_out_scale_factor": 1.0,
|
48 |
+
"resnet_skip_time_act": false,
|
49 |
+
"resnet_time_scale_shift": "default",
|
50 |
+
"sample_size": 64,
|
51 |
+
"time_cond_proj_dim": null,
|
52 |
+
"time_embedding_act_fn": null,
|
53 |
+
"time_embedding_dim": null,
|
54 |
+
"time_embedding_type": "positional",
|
55 |
+
"timestep_post_act": null,
|
56 |
+
"transformer_layers_per_block": 1,
|
57 |
+
"up_block_types": [
|
58 |
+
"UpBlock2D",
|
59 |
+
"CrossAttnUpBlock2D",
|
60 |
+
"CrossAttnUpBlock2D",
|
61 |
+
"CrossAttnUpBlock2D"
|
62 |
+
],
|
63 |
+
"upcast_attention": false,
|
64 |
+
"use_linear_projection": false
|
65 |
+
}
|
unet/diffusion_pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:39aeb5f57e936fdb52331f49d69299fb130a5456c269b67c08699b109e8485fd
|
3 |
+
size 3438375973
|
vae/config.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_class_name": "AutoencoderKL",
|
3 |
+
"_diffusers_version": "0.18.0.dev0",
|
4 |
+
"_name_or_path": "runwayml/stable-diffusion-v1-5",
|
5 |
+
"act_fn": "silu",
|
6 |
+
"block_out_channels": [
|
7 |
+
128,
|
8 |
+
256,
|
9 |
+
512,
|
10 |
+
512
|
11 |
+
],
|
12 |
+
"down_block_types": [
|
13 |
+
"DownEncoderBlock2D",
|
14 |
+
"DownEncoderBlock2D",
|
15 |
+
"DownEncoderBlock2D",
|
16 |
+
"DownEncoderBlock2D"
|
17 |
+
],
|
18 |
+
"in_channels": 3,
|
19 |
+
"latent_channels": 4,
|
20 |
+
"layers_per_block": 2,
|
21 |
+
"norm_num_groups": 32,
|
22 |
+
"out_channels": 3,
|
23 |
+
"sample_size": 512,
|
24 |
+
"scaling_factor": 0.18215,
|
25 |
+
"up_block_types": [
|
26 |
+
"UpDecoderBlock2D",
|
27 |
+
"UpDecoderBlock2D",
|
28 |
+
"UpDecoderBlock2D",
|
29 |
+
"UpDecoderBlock2D"
|
30 |
+
]
|
31 |
+
}
|