End of training
Browse files- README.md +39 -0
- checkpoint-1000/model.safetensors +3 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-500/model.safetensors +3 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scheduler.bin +3 -0
- feature_extractor/preprocessor_config.json +27 -0
- learned_embeds-steps-1000.safetensors +3 -0
- learned_embeds-steps-500.safetensors +3 -0
- learned_embeds.safetensors +3 -0
- logs/textual_inversion/1731648966.186496/events.out.tfevents.1731648966.DNa809938.SUNet.39906.1 +3 -0
- logs/textual_inversion/1731648966.187177/hparams.yml +48 -0
- logs/textual_inversion/1732164089.1928902/events.out.tfevents.1732164089.DNa8089be.SUNet.60473.1 +3 -0
- logs/textual_inversion/1732164089.193544/hparams.yml +48 -0
- logs/textual_inversion/events.out.tfevents.1731648966.DNa809938.SUNet.39906.0 +3 -0
- logs/textual_inversion/events.out.tfevents.1732164089.DNa8089be.SUNet.60473.0 +3 -0
- model_index.json +38 -0
- safety_checker/config.json +28 -0
- safety_checker/model.safetensors +3 -0
- scheduler/scheduler_config.json +15 -0
- text_encoder/config.json +25 -0
- text_encoder/model.safetensors +3 -0
- tokenizer/added_tokens.json +3 -0
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +24 -0
- tokenizer/tokenizer_config.json +38 -0
- tokenizer/vocab.json +0 -0
- unet/config.json +68 -0
- unet/diffusion_pytorch_model.safetensors +3 -0
- vae/config.json +38 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
README.md
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---
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base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
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library_name: diffusers
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license: creativeml-openrail-m
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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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- diffusers-training
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inference: true
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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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# Textual inversion text2image fine-tuning - shljessie/textual_inversion_pneunomia
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These are textual inversion adaption weights for stable-diffusion-v1-5/stable-diffusion-v1-5. You can find some example images in the following.
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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/model.safetensors
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checkpoint-1000/random_states_0.pkl
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checkpoint-500/model.safetensors
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checkpoint-500/optimizer.bin
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checkpoint-500/random_states_0.pkl
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checkpoint-500/scheduler.bin
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feature_extractor/preprocessor_config.json
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{
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"crop_size": {
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"height": 224,
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"width": 224
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},
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"do_center_crop": true,
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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],
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"image_processor_type": "CLIPImageProcessor",
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"image_std": [
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0.26862954,
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"shortest_edge": 224
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}
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}
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learned_embeds-steps-1000.safetensors
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learned_embeds-steps-500.safetensors
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learned_embeds.safetensors
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logs/textual_inversion/1731648966.186496/events.out.tfevents.1731648966.DNa809938.SUNet.39906.1
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version https://git-lfs.github.com/spec/v1
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logs/textual_inversion/1731648966.187177/hparams.yml
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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: chest
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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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no_safe_serialization: false
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num_train_epochs: 12
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num_validation_images: 4
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num_vectors: 1
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output_dir: textual_inversion_pneunomia
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placeholder_token: <pneunomia>
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pretrained_model_name_or_path: stable-diffusion-v1-5/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
|
37 |
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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: ./pneumonia_samples
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validation_epochs: null
|
46 |
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validation_prompt: null
|
47 |
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validation_steps: 100
|
48 |
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variant: null
|
logs/textual_inversion/1732164089.1928902/events.out.tfevents.1732164089.DNa8089be.SUNet.60473.1
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logs/textual_inversion/1732164089.193544/hparams.yml
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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
|
4 |
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adam_weight_decay: 0.01
|
5 |
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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: chest
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learnable_property: object
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learning_rate: 0.0004
|
18 |
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local_rank: -1
|
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logging_dir: logs
|
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lr_num_cycles: 1
|
21 |
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lr_scheduler: constant
|
22 |
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lr_warmup_steps: 0
|
23 |
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max_train_steps: 100
|
24 |
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mixed_precision: 'no'
|
25 |
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no_safe_serialization: false
|
26 |
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num_train_epochs: 1
|
27 |
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num_validation_images: 4
|
28 |
+
num_vectors: 1
|
29 |
+
output_dir: textual_inversion_pneunomia
|
30 |
+
placeholder_token: <pneunomia>
|
31 |
+
pretrained_model_name_or_path: stable-diffusion-v1-5/stable-diffusion-v1-5
|
32 |
+
push_to_hub: true
|
33 |
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repeats: 100
|
34 |
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report_to: tensorboard
|
35 |
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resolution: 512
|
36 |
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resume_from_checkpoint: null
|
37 |
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revision: null
|
38 |
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save_as_full_pipeline: false
|
39 |
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save_steps: 500
|
40 |
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scale_lr: true
|
41 |
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seed: null
|
42 |
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tokenizer_name: null
|
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train_batch_size: 1
|
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train_data_dir: ./pneumonia_samples
|
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validation_epochs: null
|
46 |
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validation_prompt: null
|
47 |
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validation_steps: 100
|
48 |
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variant: null
|
logs/textual_inversion/events.out.tfevents.1731648966.DNa809938.SUNet.39906.0
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model_index.json
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{
|
2 |
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"_class_name": "StableDiffusionPipeline",
|
3 |
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"_diffusers_version": "0.32.0.dev0",
|
4 |
+
"_name_or_path": "stable-diffusion-v1-5/stable-diffusion-v1-5",
|
5 |
+
"feature_extractor": [
|
6 |
+
"transformers",
|
7 |
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"CLIPImageProcessor"
|
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],
|
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"image_encoder": [
|
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null,
|
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null
|
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],
|
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"requires_safety_checker": true,
|
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"safety_checker": [
|
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"stable_diffusion",
|
16 |
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"StableDiffusionSafetyChecker"
|
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],
|
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"scheduler": [
|
19 |
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"diffusers",
|
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"PNDMScheduler"
|
21 |
+
],
|
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+
"text_encoder": [
|
23 |
+
"transformers",
|
24 |
+
"CLIPTextModel"
|
25 |
+
],
|
26 |
+
"tokenizer": [
|
27 |
+
"transformers",
|
28 |
+
"CLIPTokenizer"
|
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],
|
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"unet": [
|
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"diffusers",
|
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"UNet2DConditionModel"
|
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],
|
34 |
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"vae": [
|
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"diffusers",
|
36 |
+
"AutoencoderKL"
|
37 |
+
]
|
38 |
+
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safety_checker/config.json
ADDED
@@ -0,0 +1,28 @@
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|
1 |
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{
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|
3 |
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"architectures": [
|
4 |
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"StableDiffusionSafetyChecker"
|
5 |
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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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|
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|
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|
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|
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|
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safety_checker/model.safetensors
ADDED
@@ -0,0 +1,3 @@
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size 1215979664
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scheduler/scheduler_config.json
ADDED
@@ -0,0 +1,15 @@
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text_encoder/config.json
ADDED
@@ -0,0 +1,25 @@
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text_encoder/model.safetensors
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tokenizer/added_tokens.json
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tokenizer/merges.txt
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tokenizer/special_tokens_map.json
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|
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tokenizer/tokenizer_config.json
ADDED
@@ -0,0 +1,38 @@
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tokenizer/vocab.json
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unet/config.json
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unet/diffusion_pytorch_model.safetensors
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vae/config.json
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