c

README.md

@@ -1,24 +0,0 @@
----
-license: mit
----
-### kaltsit_v5 on Stable Diffusion via Dreambooth
-#### model by twilledwave
-This your the Stable Diffusion model fine-tuned the kaltsit_v5 concept taught to Stable Diffusion with Dreambooth.
-It can be used by modifying the `instance_prompt`: **kaltsit**
-
-You can also train your own concepts and upload them to the library by using [this notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_training.ipynb).
-And you can run your new concept via `diffusers`: [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb), [Spaces with the Public Concepts loaded](https://huggingface.co/spaces/sd-dreambooth-library/stable-diffusion-dreambooth-concepts)
-
-Here are the images used for training this concept:
-![image 0](https://huggingface.co/twilledwave/kaltsit-v5/resolve/main/concept_images/1.jpeg)
-![image 1](https://huggingface.co/twilledwave/kaltsit-v5/resolve/main/concept_images/4.jpeg)
-![image 2](https://huggingface.co/twilledwave/kaltsit-v5/resolve/main/concept_images/10.jpeg)
-![image 3](https://huggingface.co/twilledwave/kaltsit-v5/resolve/main/concept_images/7.jpeg)
-![image 4](https://huggingface.co/twilledwave/kaltsit-v5/resolve/main/concept_images/2.jpeg)
-![image 5](https://huggingface.co/twilledwave/kaltsit-v5/resolve/main/concept_images/0.jpeg)
-![image 6](https://huggingface.co/twilledwave/kaltsit-v5/resolve/main/concept_images/9.jpeg)
-![image 7](https://huggingface.co/twilledwave/kaltsit-v5/resolve/main/concept_images/3.jpeg)
-![image 8](https://huggingface.co/twilledwave/kaltsit-v5/resolve/main/concept_images/6.jpeg)
-![image 9](https://huggingface.co/twilledwave/kaltsit-v5/resolve/main/concept_images/5.jpeg)
-![image 10](https://huggingface.co/twilledwave/kaltsit-v5/resolve/main/concept_images/8.jpeg)
-

feature_extractor/preprocessor_config.json

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-{
-  "crop_size": 224,
-  "do_center_crop": true,
-  "do_convert_rgb": true,
-  "do_normalize": true,
-  "do_resize": true,
-  "feature_extractor_type": "CLIPFeatureExtractor",
-  "image_mean": [
-    0.48145466,
-    0.4578275,
-    0.40821073
-  ],
-  "image_std": [
-    0.26862954,
-    0.26130258,
-    0.27577711
-  ],
-  "resample": 3,
-  "size": 224
-}

model_index.json

@@ -1,32 +0,0 @@
-{
-  "_class_name": "StableDiffusionPipeline",
-  "_diffusers_version": "0.4.0.dev0",
-  "feature_extractor": [
-    "transformers",
-    "CLIPFeatureExtractor"
-  ],
-  "safety_checker": [
-    "stable_diffusion",
-    "StableDiffusionSafetyChecker"
-  ],
-  "scheduler": [
-    "diffusers",
-    "PNDMScheduler"
-  ],
-  "text_encoder": [
-    "transformers",
-    "CLIPTextModel"
-  ],
-  "tokenizer": [
-    "transformers",
-    "CLIPTokenizer"
-  ],
-  "unet": [
-    "diffusers",
-    "UNet2DConditionModel"
-  ],
-  "vae": [
-    "diffusers",
-    "AutoencoderKL"
-  ]
-}

safety_checker/config.json

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-{
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-  "_name_or_path": "dreambooth-concept/safety_checker",
-  "architectures": [
-    "StableDiffusionSafetyChecker"
-  ],
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safety_checker/pytorch_model.bin

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scheduler/scheduler_config.json

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-{
-  "_class_name": "PNDMScheduler",
-  "_diffusers_version": "0.4.0.dev0",
-  "beta_end": 0.012,
-  "beta_schedule": "scaled_linear",
-  "beta_start": 0.00085,
-  "num_train_timesteps": 1000,
-  "set_alpha_to_one": false,
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-  "steps_offset": 1,
-  "trained_betas": null
-}

text_encoder/config.json

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-{
-  "_name_or_path": "dreambooth-concept/text_encoder",
-  "architectures": [
-    "CLIPTextModel"
-  ],
-  "attention_dropout": 0.0,
-  "bos_token_id": 0,
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-}

text_encoder/pytorch_model.bin

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token_identifier.txt

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-kaltsit

tokenizer/special_tokens_map.json

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-{
-  "bos_token": {
-    "content": "<|startoftext|>",
-    "lstrip": false,
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-    "single_word": false
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tokenizer/tokenizer_config.json

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-{
-  "add_prefix_space": false,
-  "bos_token": {
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unet/config.json

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-{
-  "_class_name": "UNet2DConditionModel",
-  "_diffusers_version": "0.4.0.dev0",
-  "_name_or_path": "dreambooth-concept/unet",
-  "act_fn": "silu",
-  "attention_head_dim": 8,
-  "block_out_channels": [
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-  "center_input_sample": false,
-  "cross_attention_dim": 768,
-  "down_block_types": [
-    "CrossAttnDownBlock2D",
-    "CrossAttnDownBlock2D",
-    "CrossAttnDownBlock2D",
-    "DownBlock2D"
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-  "downsample_padding": 1,
-  "flip_sin_to_cos": true,
-  "freq_shift": 0,
-  "in_channels": 4,
-  "layers_per_block": 2,
-  "mid_block_scale_factor": 1,
-  "norm_eps": 1e-05,
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-  "out_channels": 4,
-  "sample_size": 32,
-  "up_block_types": [
-    "UpBlock2D",
-    "CrossAttnUpBlock2D",
-    "CrossAttnUpBlock2D",
-    "CrossAttnUpBlock2D"
-  ]
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unet/diffusion_pytorch_model.bin

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vae/config.json

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-{
-  "_class_name": "AutoencoderKL",
-  "_diffusers_version": "0.4.0.dev0",
-  "_name_or_path": "dreambooth-concept/vae",
-  "act_fn": "silu",
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vae/diffusion_pytorch_model.bin

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