End of training
Browse files- README.md +43 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scaler.pt +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-1000/unet/config.json +68 -0
- checkpoint-1000/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scaler.pt +3 -0
- checkpoint-500/scheduler.bin +3 -0
- checkpoint-500/unet/config.json +68 -0
- checkpoint-500/unet/diffusion_pytorch_model.safetensors +3 -0
- feature_extractor/preprocessor_config.json +27 -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/merges.txt +0 -0
- tokenizer/special_tokens_map.json +24 -0
- tokenizer/tokenizer_config.json +30 -0
- tokenizer/vocab.json +0 -0
- unet/config.json +68 -0
- unet/diffusion_pytorch_model.safetensors +3 -0
- vae/config.json +37 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
README.md
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---
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base_model: runwayml/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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- text-to-image
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- dreambooth
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- diffusers-training
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- stable-diffusion
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- stable-diffusion-diffusers
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inference: true
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instance_prompt: a photo of sks camouflaged soldier
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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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# DreamBooth - yoon6173/result6
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This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on a photo of sks camouflaged soldier using [DreamBooth](https://dreambooth.github.io/).
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You can find some example images in the following.
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DreamBooth for the text encoder was enabled: False.
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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/optimizer.bin
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checkpoint-1000/random_states_0.pkl
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checkpoint-1000/scaler.pt
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version https://git-lfs.github.com/spec/v1
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checkpoint-1000/scheduler.bin
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checkpoint-1000/unet/config.json
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.29.2",
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"_name_or_path": "runwayml/stable-diffusion-v1-5",
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"act_fn": "silu",
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"addition_embed_type": null,
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"addition_embed_type_num_heads": 64,
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"addition_time_embed_dim": null,
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"attention_head_dim": 8,
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"attention_type": "default",
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"block_out_channels": [
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320,
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1280
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"center_input_sample": false,
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"class_embed_type": null,
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"class_embeddings_concat": false,
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"conv_in_kernel": 3,
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"conv_out_kernel": 3,
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"cross_attention_dim": 768,
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"cross_attention_norm": null,
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"down_block_types": [
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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],
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"downsample_padding": 1,
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"dropout": 0.0,
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"dual_cross_attention": false,
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"encoder_hid_dim": null,
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"encoder_hid_dim_type": null,
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"flip_sin_to_cos": true,
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"freq_shift": 0,
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"in_channels": 4,
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"layers_per_block": 2,
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"mid_block_only_cross_attention": null,
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"mid_block_scale_factor": 1,
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"mid_block_type": "UNetMidBlock2DCrossAttn",
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"norm_eps": 1e-05,
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"norm_num_groups": 32,
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"only_cross_attention": false,
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"out_channels": 4,
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"resnet_out_scale_factor": 1.0,
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"resnet_skip_time_act": false,
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"resnet_time_scale_shift": "default",
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"reverse_transformer_layers_per_block": null,
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"sample_size": 64,
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"time_cond_proj_dim": null,
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"time_embedding_act_fn": null,
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"time_embedding_dim": null,
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"time_embedding_type": "positional",
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"timestep_post_act": null,
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"transformer_layers_per_block": 1,
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"up_block_types": [
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"UpBlock2D",
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"CrossAttnUpBlock2D",
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"CrossAttnUpBlock2D",
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"CrossAttnUpBlock2D"
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],
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"upcast_attention": false,
|
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"use_linear_projection": false
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}
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checkpoint-1000/unet/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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checkpoint-500/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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size 1725110394
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checkpoint-500/random_states_0.pkl
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version https://git-lfs.github.com/spec/v1
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checkpoint-500/scaler.pt
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version https://git-lfs.github.com/spec/v1
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checkpoint-500/scheduler.bin
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checkpoint-500/unet/config.json
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{
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2 |
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"_class_name": "UNet2DConditionModel",
|
3 |
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"_diffusers_version": "0.29.2",
|
4 |
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"_name_or_path": "runwayml/stable-diffusion-v1-5",
|
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"act_fn": "silu",
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"addition_embed_type": null,
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"attention_type": "default",
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"center_input_sample": false,
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"cross_attention_norm": null,
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"down_block_types": [
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
|
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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],
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"downsample_padding": 1,
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"dropout": 0.0,
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"in_channels": 4,
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"mid_block_type": "UNetMidBlock2DCrossAttn",
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"norm_eps": 1e-05,
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"resnet_out_scale_factor": 1.0,
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"resnet_skip_time_act": false,
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"resnet_time_scale_shift": "default",
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"reverse_transformer_layers_per_block": null,
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"sample_size": 64,
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"time_embedding_type": "positional",
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"timestep_post_act": null,
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"transformer_layers_per_block": 1,
|
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"up_block_types": [
|
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"UpBlock2D",
|
62 |
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"CrossAttnUpBlock2D",
|
63 |
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"CrossAttnUpBlock2D",
|
64 |
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"CrossAttnUpBlock2D"
|
65 |
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],
|
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"upcast_attention": false,
|
67 |
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"use_linear_projection": false
|
68 |
+
}
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checkpoint-500/unet/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 3438167536
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feature_extractor/preprocessor_config.json
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{
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2 |
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"crop_size": {
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3 |
+
"height": 224,
|
4 |
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"width": 224
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5 |
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},
|
6 |
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"do_center_crop": true,
|
7 |
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"do_convert_rgb": true,
|
8 |
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"do_normalize": true,
|
9 |
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"do_rescale": true,
|
10 |
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"do_resize": true,
|
11 |
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"image_mean": [
|
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0.48145466,
|
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|
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],
|
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"image_processor_type": "CLIPImageProcessor",
|
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"image_std": [
|
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|
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|
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],
|
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"resample": 3,
|
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"rescale_factor": 0.00392156862745098,
|
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"size": {
|
25 |
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"shortest_edge": 224
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}
|
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}
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model_index.json
ADDED
@@ -0,0 +1,38 @@
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{
|
2 |
+
"_class_name": "StableDiffusionPipeline",
|
3 |
+
"_diffusers_version": "0.29.2",
|
4 |
+
"_name_or_path": "runwayml/stable-diffusion-v1-5",
|
5 |
+
"feature_extractor": [
|
6 |
+
"transformers",
|
7 |
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"CLIPImageProcessor"
|
8 |
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],
|
9 |
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"image_encoder": [
|
10 |
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null,
|
11 |
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null
|
12 |
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],
|
13 |
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"requires_safety_checker": true,
|
14 |
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"safety_checker": [
|
15 |
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"stable_diffusion",
|
16 |
+
"StableDiffusionSafetyChecker"
|
17 |
+
],
|
18 |
+
"scheduler": [
|
19 |
+
"diffusers",
|
20 |
+
"PNDMScheduler"
|
21 |
+
],
|
22 |
+
"text_encoder": [
|
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"transformers",
|
24 |
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"CLIPTextModel"
|
25 |
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|
26 |
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|
27 |
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"transformers",
|
28 |
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|
29 |
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],
|
30 |
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"unet": [
|
31 |
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|
32 |
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|
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|
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|
36 |
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|
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|
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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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|
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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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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/merges.txt
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tokenizer/special_tokens_map.json
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tokenizer/tokenizer_config.json
ADDED
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tokenizer/vocab.json
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unet/config.json
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vae/config.json
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