End of training
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- README.md +21 -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
- image_0.png +0 -0
- image_1.png +0 -0
- image_2.png +0 -0
- image_3.png +0 -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/1682891456.545731/events.out.tfevents.1682891456.hal-dgx.239628.1 +3 -0
- logs/textual_inversion/1682891456.5508432/hparams.yml +45 -0
- logs/textual_inversion/1682891596.3291929/events.out.tfevents.1682891596.hal-dgx.249249.1 +3 -0
- logs/textual_inversion/1682891596.334428/hparams.yml +45 -0
- logs/textual_inversion/events.out.tfevents.1682891456.hal-dgx.239628.0 +3 -0
- logs/textual_inversion/events.out.tfevents.1682891596.hal-dgx.249249.0 +3 -0
- model_index.json +33 -0
- safety_checker/config.json +181 -0
- safety_checker/pytorch_model.bin +3 -0
- scheduler/scheduler_config.json +14 -0
- text_encoder/config.json +25 -0
- text_encoder/pytorch_model.bin +3 -0
- tokenizer/added_tokens.json +34 -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 - anic87/textual_inversion_32
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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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![img_0](./image_0.png)
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![img_1](./image_1.png)
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![img_2](./image_2.png)
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![img_3](./image_3.png)
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checkpoint-1000/optimizer.bin
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feature_extractor/preprocessor_config.json
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image_0.png
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image_1.png
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image_3.png
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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: carcinoma
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learnable_property: object
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learning_rate: 0.005
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local_rank: -1
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logging_dir: logs
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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: 1
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num_validation_images: 4
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num_vectors: 32
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only_save_embeds: true
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output_dir: textual_inversion_32
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placeholder_token: <metastatic-tumor>
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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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"prediction_type": "epsilon",
|
10 |
+
"set_alpha_to_one": false,
|
11 |
+
"skip_prk_steps": true,
|
12 |
+
"steps_offset": 1,
|
13 |
+
"trained_betas": null
|
14 |
+
}
|
text_encoder/config.json
ADDED
@@ -0,0 +1,25 @@
|
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|
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|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "runwayml/stable-diffusion-v1-5",
|
3 |
+
"architectures": [
|
4 |
+
"CLIPTextModel"
|
5 |
+
],
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"bos_token_id": 0,
|
8 |
+
"dropout": 0.0,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "quick_gelu",
|
11 |
+
"hidden_size": 768,
|
12 |
+
"initializer_factor": 1.0,
|
13 |
+
"initializer_range": 0.02,
|
14 |
+
"intermediate_size": 3072,
|
15 |
+
"layer_norm_eps": 1e-05,
|
16 |
+
"max_position_embeddings": 77,
|
17 |
+
"model_type": "clip_text_model",
|
18 |
+
"num_attention_heads": 12,
|
19 |
+
"num_hidden_layers": 12,
|
20 |
+
"pad_token_id": 1,
|
21 |
+
"projection_dim": 768,
|
22 |
+
"torch_dtype": "float32",
|
23 |
+
"transformers_version": "4.26.1",
|
24 |
+
"vocab_size": 49440
|
25 |
+
}
|
text_encoder/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ae585a7ca7c2b639b69fe25bc8eaa8e17142da8e0ba59f5b205003e3efbe5765
|
3 |
+
size 492406391
|
tokenizer/added_tokens.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<metastatic-tumor>": 49408,
|
3 |
+
"<metastatic-tumor>_1": 49409,
|
4 |
+
"<metastatic-tumor>_10": 49418,
|
5 |
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"<metastatic-tumor>_11": 49419,
|
6 |
+
"<metastatic-tumor>_12": 49420,
|
7 |
+
"<metastatic-tumor>_13": 49421,
|
8 |
+
"<metastatic-tumor>_14": 49422,
|
9 |
+
"<metastatic-tumor>_15": 49423,
|
10 |
+
"<metastatic-tumor>_16": 49424,
|
11 |
+
"<metastatic-tumor>_17": 49425,
|
12 |
+
"<metastatic-tumor>_18": 49426,
|
13 |
+
"<metastatic-tumor>_19": 49427,
|
14 |
+
"<metastatic-tumor>_2": 49410,
|
15 |
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|
16 |
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"<metastatic-tumor>_21": 49429,
|
17 |
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|
18 |
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|
19 |
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|
20 |
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|
21 |
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|
22 |
+
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|
23 |
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|
24 |
+
"<metastatic-tumor>_29": 49437,
|
25 |
+
"<metastatic-tumor>_3": 49411,
|
26 |
+
"<metastatic-tumor>_30": 49438,
|
27 |
+
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|
28 |
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|
29 |
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|
30 |
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|
31 |
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"<metastatic-tumor>_7": 49415,
|
32 |
+
"<metastatic-tumor>_8": 49416,
|
33 |
+
"<metastatic-tumor>_9": 49417
|
34 |
+
}
|