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LICENSE

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+# Fair AI Public License 1.0-SD
+
+Published by the [Freedom of Development Project](https://freedevproject.org).
+
+*This "SD variant" license contains a [Prohibited Uses](#prohibited-uses)
+section designed to be compatible with Stable Diffusion's license. Because of
+that section, this is not a free software license. Unless you are releasing a
+derivative of a Stable Diffusion model, it is not recommended that you use this
+license.*
+
+*This license comes with special requirements if you intend to allow users
+to access this software over a network. See [Notices](#notices) for more
+information.*
+
+## Purpose
+This license gives everyone as much permission to work with this software as 
+possible, while protecting contributors from liability, protecting the 
+freedom of end users, and reducing harm.
+
+## Definitions
+In this license, "model" refers to machine learning model weights, biases,
+parameters, optimizer states, and any byproducts of a training or pretraining
+process, whether in the form of checkpoints or any other form.
+
+The term "derived model" refers to any model based on this model.
+
+The term "software" also refers to any model along with documentation or
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+
+The term "source code" refers to the preferred form of making modifications
+to software. It also includes any models, if applicable, but it does not
+include any datasets used to train a model.
+
+To "modify" also means to perform any training on a model or to combine a
+model with another model.
+
+## Acceptance
+In order to receive this license, you must agree to its rules. The rules of 
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+
+## Copyright
+Each contributor licenses you to do everything with this software that would 
+otherwise infringe that contributor's copyright in it.
+
+## Freedom
+Neither this software nor any work that is combined with this software will be 
+considered a technological protection measure under the WIPO Copyright Treaty 
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+is combined with this software is always allowed.
+
+## Notices
+You must ensure that everyone who gets a copy of any part of this software from 
+you, with or without changes, also gets the text of this license along with
+the corresponding source code.
+
+If you modify this software and allow users to interact with it through a
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+corresponding source code from you, whether that is via a download link or a
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+interact with a derived model, then you may choose to provide a download link
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+
+This software, all source code, and all modifications must be provided under
+this license or another license that allows everything this license allows.
+Note that this does not give you permission to change the license for this
+software.
+
+## Excuse
+If anyone notifies you in writing that you have not complied with 
+[Notices](#notices), you can keep your license by taking all practical steps
+to comply within 30 days after the notice. If you do not do so, your license
+ends immediately.
+
+## Output
+The output of this software is not covered by this license, and no contributor
+claims any rights to it.
+
+## Patent
+Each contributor licenses you to do everything with this software that would 
+otherwise infringe any patent claims they can license or become able to license.
+
+## Reliability
+No contributor can revoke this license.
+
+## Alternatives
+You can also use any non-model parts of this software under the terms of the
+GNU AGPL 3.0, or any later version of that license. If you do,
+[No Harm](#no-harm) and [No Liability](#no-liability) still apply.
+
+## Revisions
+The Freedom of Development Project may publish revised or new versions of the
+Fair AI Public License. Those new versions will be similar in spirit to this
+license.
+
+Unless a contributor specifies otherwise, you have the option of following the
+terms of any later version of this license. Your choice to follow a later
+version of the license will not impose additional obligations on any
+contributor. Even if you do choose to follow a later version, the restrictions
+of [Prohibited Uses](#prohibited-uses) will still apply.
+
+## Survival
+The provisions of [No Harm](#no-harm) and [No Liability](#no-liability) survive
+the end of your license.
+
+## No Harm
+You agree that no contributor's conduct in the creation of this software has 
+caused you any harm. As far as the law allows, you give up your right to pursue 
+any kind of legal claim against any contributor for actions related the 
+creation of this software, even if those actions broke a previous agreement.
+
+Additionally, you agree not to use this model for harmful purposes, as listed
+in [Prohibited Uses](#prohibited-uses). These restrictions do not apply to
+non-model parts of this software.
+
+## No Liability
+***As far as the law allows, this software comes as is, without any warranty or 
+condition, and no contributor will be liable to anyone for any damages related 
+to this software or this license, under any kind of legal claim.***
+
+## Prohibited Uses
+You may not use this model or any derived model for the following:
+
+- In any way that violates any applicable national, federal, state, local or 
+international law or regulation;
+- For the purpose of exploiting, harming or attempting to exploit or harm 
+minors in any way;
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+- For fully automated decision making that adversely impacts an individual’s 
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+distort the behavior of a person pertaining to that group in a manner that 
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+- For any use intended to or which has the effect of discriminating against 
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+- To provide medical advice and medical results interpretation;
+- To generate or disseminate information for the purpose to be used for 
+administration of justice, law enforcement, immigration or asylum processes, 
+such as predicting an individual will commit fraud/crime commitment (e.g. by 
+text profiling, drawing causal relationships between assertions made in 
+documents, indiscriminate and arbitrarily-targeted use).

LICENSE_INHERIT

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+STABILITY AI NON-COMMERCIAL RESEARCH COMMUNITY LICENSE AGREEMENT	
+Dated: November 28, 2023
+
+By using or distributing any portion or element of the Models, Software, Software Products or Derivative Works, you agree to be bound by this Agreement.
+
+"Agreement" means this Stable Non-Commercial Research Community License Agreement.
+
+“AUP” means the Stability AI Acceptable Use Policy available at https://stability.ai/use-policy, as may be updated from time to time.
+
+"Derivative Work(s)” means (a) any derivative work of the Software Products as recognized by U.S. copyright laws and (b) any modifications to a Model, and any other model created which is based on or derived from the Model or the Model’s output. For clarity, Derivative Works do not include the output of any Model.
+
+“Documentation” means any specifications, manuals, documentation, and other written information provided by Stability AI related to the Software.
+
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+
+“Model(s)" means, collectively, Stability AI’s proprietary models and algorithms, including machine-learning models, trained model weights and other elements of the foregoing, made available under this Agreement.
+
+“Non-Commercial Uses” means exercising any of the rights granted herein for the purpose of research or non-commercial purposes. Non-Commercial Uses does not include any production use of the Software Products or any Derivative Works. 
+
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+
+
+"Software" means Stability AI’s proprietary software made available under this Agreement. 
+
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+
+
+
+1. 	License Rights and Redistribution. 
+a.  	Subject to your compliance with this Agreement, the AUP (which is hereby incorporated herein by reference), and the Documentation, Stability AI grants you a non-exclusive, worldwide, non-transferable, non-sublicensable, revocable, royalty free and limited license under Stability AI’s intellectual property or other rights owned or controlled by Stability AI embodied in the Software Products to use, reproduce, distribute, and create Derivative Works of, the Software Products, in each case for Non-Commercial Uses only. 
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+
+6.	Governing Law. This Agreement will be governed by and construed in accordance with the laws of the United States and the State of California without regard to choice of law 
+principles. 

README.md

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+---
+pipeline_tag: text-to-image
+license: other
+license_name: faipl-1.0-sd
+license_link: LICENSE
+decoder:
+- Disty0/sotediffusion-wuerstchen3-decoder
+---
+
+
+# SoteDiffusion Wuerstchen3
+
+Anime finetune of Würstchen V3.  
+Still in active training.  
+No commercial use.  
+
+# Release Notes
+
+- This release is sponsored by Fal.AI  
+- Trained on 6M images for 3 epochs using 8x A100 GPUs.  
+
+<style>
+.image {
+    float: left;
+    margin-left: 10px;
+}
+</style>
+
+<table>
+<img class="image" src="placeholder">
+<img class="image" src="placeholder">
+</table>
+
+# API Usage
+
+This model can be used via API with Fal.AI  
+For more details: https://fal.ai/models/fal-ai/stable-cascade/sote-diffusion  
+
+# UI Guide
+
+## SD.Next
+URL: https://github.com/vladmandic/automatic/
+
+Go to Models -> Huggingface and type `Disty0/sotediffusion-wuerstchen3-decoder` into the model name and press download.  
+Load `Disty0/sotediffusion-wuerstchen3-decoder` after the download process is complete.  
+
+Prompt:  
+```
+newest, extremely aesthetic, best quality,
+```
+
+Negative Prompt:  
+```
+very displeasing, worst quality, monochrome, realistic, oldest, loli,
+```
+
+Parameters:  
+Sampler: Default  
+
+Steps: 30 or 40  
+Refiner Steps: 10  
+
+CFG: 7  
+Secondary CFG: 2 or 1  
+
+Resolution: 1024x1536, 2048x1152  
+Anything works as long as it's a multiply of 128.
+
+
+## ComfyUI
+
+Please refer to CivitAI: https://civitai.com/models/353284  
+
+
+# Code Example
+
+```shell
+pip install diffusers
+```
+
+```python
+import torch
+from diffusers import StableCascadeCombinedPipeline
+
+device = "cuda"
+dtype = torch.bfloat16 # or torch.float16
+model = "Disty0/sotediffusion-wuerstchen3-decoder"
+
+pipe = StableCascadeCombinedPipeline.from_pretrained(model, torch_dtype=dtype)
+
+# send everything to the gpu:
+pipe = pipe.to(device, dtype=dtype)
+pipe.prior_pipe = pipe.prior_pipe.to(device, dtype=dtype)
+
+# or enable model offload to save vram:
+# pipe.enable_model_cpu_offload()
+
+
+
+prompt = "newest, extremely aesthetic, best quality, 1girl, solo, cat ears, pink hair, orange eyes, long hair, bare shoulders, looking at viewer, smile, indoors, casual, living room, playing guitar,"
+negative_prompt = "very displeasing, worst quality, monochrome, realistic, oldest, loli,"
+output = pipe(
+    width=1024,
+    height=1536,
+    prompt=prompt,
+    negative_prompt=negative_prompt,
+    decoder_guidance_scale=2.0,
+    prior_guidance_scale=8.0,
+    prior_num_inference_steps=40,
+    output_type="pil",
+    num_inference_steps=10
+).images[0]
+
+## do something with the output image
+```
+
+## Training:
+**Software used**: Kohya SD-Scripts with Stable Cascade branch.  
+https://github.com/kohya-ss/sd-scripts/tree/stable-cascade  
+
+**Base model**: Disty0/sote-diffusion-cascade-alpha3  
+
+**GPU used for captioning**: 8x Nvidia A100 80GB  
+**GPU Hours**: 220  
+
+### Base
+| parameter | value |
+|---|---|
+| **amp** | bf16 |
+| **weights** | fp32 |
+| **save weights** | fp16 |
+| **resolution** | 1024x1024 |
+| **effective batch size** | 128 |
+| **unet learning rate** | 1e-5 |
+| **te learning rate** | 4e-6 |
+| **optimizer** | Adafactor |
+| **images** | 6M |
+| **epochs** | 3 |
+
+### Final
+
+| parameter | value |
+|---|---|
+| **amp** | bf16 |
+| **weights** | fp32 |
+| **save weights** | fp16 |
+| **resolution** | 1024x1024 |
+| **effective batch size** | 128 |
+| **unet learning rate** |  4e-6 |
+| **te learning rate** | none |
+| **optimizer** | Adafactor |
+| **images** | 120K |
+| **epochs** | 16 |
+
+## Dataset:
+
+**GPU used for captioning**: 1x Intel ARC A770 16GB  
+**GPU Hours**: 350  
+
+**Model used for captioning**: SmilingWolf/wd-swinv2-tagger-v3  
+**Command:**  
+```
+python /mnt/DataSSD/AI/Apps/kohya_ss/sd-scripts/finetune/tag_images_by_wd14_tagger.py --model_dir "/mnt/DataSSD/AI/models/wd14_tagger_model" --repo_id "SmilingWolf/wd-swinv2-tagger-v3" --recursive --remove_underscore --use_rating_tags --character_tags_first --character_tag_expand --append_tags --onnx --caption_separator ", " --general_threshold 0.35 --character_threshold 0.50 --batch_size 4 --caption_extension ".txt" ./
+```
+
+
+| dataset name | total images |
+|---|---|
+| **newest** | 1.848.331 |
+| **recent** | 1.380.630 |
+| **mid** | 993.227 |
+| **early** | 566.152 |
+| **oldest** | 160.397 |
+| **pixiv** | 343.614 |
+| **visual novel cg** | 231.358 |
+| **anime wallpaper** | 104.790 |
+| **Total** | 5.628.499 |
+
+Around 120K very high quality images got intentionally duplicated 5 times.  
+
+**Note**:  
+ - Smallest size is 1280x600 | 768.000 pixels
+ - Deduped based on image similarity using czkawka-cli
+
+
+## Tags:
+
+Model is trained with random tag order but this is the order in the dataset if you are interested:  
+```
+aesthetic tags, quality tags, date tags, custom tags, rating tags, character, series, rest of the tags
+```
+
+### Date:
+
+| tag | date |
+|---|---|
+| **newest** | 2022 to 2024 |
+| **recent** | 2019 to 2021 |
+| **mid** | 2015 to 2018 |
+| **early** | 2011 to 2014 |
+| **oldest** | 2005 to 2010 |
+
+### Aesthetic Tags:
+**Model used**: shadowlilac/aesthetic-shadow-v2
+
+| score greater than | tag | count |
+|---|---|---|
+| **0.90** | extremely aesthetic | 125.451 |
+| **0.80** | very aesthetic | 887.382 |
+| **0.70** | aesthetic | 1.049.857 |
+| **0.50** | slightly aesthetic | 1.643.091 |
+| **0.40** | not displeasing | 569.543 |
+| **0.30** | not aesthetic | 445.188 |
+| **0.20** | slightly displeasing | 341.424 |
+| **0.10** | displeasing | 237.660 |
+| **rest of them** | very displeasing | 328.712 |
+
+### Quality Tags:
+**Model used**: https://huggingface.co/hakurei/waifu-diffusion-v1-4/blob/main/models/aes-B32-v0.pth
+
+| score greater than | tag | count |
+|---|---|---|
+| **0.980** | best quality | 1.270.447 |
+| **0.900** | high quality | 498.244 |
+| **0.750** | great quality | 351.006 |
+| **0.500** | medium quality | 366.448 |
+| **0.250** | normal quality | 368.380 |
+| **0.125** | bad quality | 279.050 |
+| **0.025** | low quality | 538.958 |
+| **rest of them** | worst quality | 1.955.966 |
+
+## Rating Tags
+
+| tag | count |
+|---|---|
+| **general** | 1.416.451 |
+| **sensitive** | 3.447.664 |
+| **nsfw** | 427.459 |
+| **explicit nsfw** | 336.925 |
+
+## Custom Tags:
+
+| dataset name | custom tag |
+|---|---|
+| **image boards** | date, |
+| **characters** | character, series
+| **pixiv** | art by Display_Name, |
+| **visual novel cg** | Full_VN_Name (short_3_letter_name), visual novel cg, |
+| **anime wallpaper** | date, anime wallpaper, |
+
+
+## Limitations and Bias
+
+### Bias
+
+- This model is intended for anime illustrations.  
+  Realistic capabilites are not tested at all.  
+
+### Limitations
+
+- Can fall back to realistic.  
+  Add "realistic" tag to the negatives when this happens.  
+- Far shot eyes and hands can be bad.  
+
+
+## License
+
+SoteDiffusion models falls under [Fair AI Public License 1.0-SD](https://freedevproject.org/faipl-1.0-sd/) license, which is compatible with Stable Diffusion models’ license. Key points:
+
+1. **Modification Sharing:** If you modify SoteDiffusion models, you must share both your changes and the original license.
+2. **Source Code Accessibility:** If your modified version is network-accessible, provide a way (like a download link) for others to get the source code. This applies to derived models too.
+3. **Distribution Terms:** Any distribution must be under this license or another with similar rules.
+4. **Compliance:** Non-compliance must be fixed within 30 days to avoid license termination, emphasizing transparency and adherence to open-source values.
+
+**Notes**: Anything not covered by Fair AI license is inherited from Stability AI Non-Commercial license which is named as LICENSE_INHERIT.  

feature_extractor/preprocessor_config.json

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+{
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "resample",
+    "do_center_crop",
+    "crop_size",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "do_convert_rgb",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "CLIPImageProcessor",
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

image_encoder/config.json

@@ -0,0 +1,23 @@
+{
+  "_name_or_path": "/home/disty/.cache/huggingface/hub/models--stabilityai--stable-cascade-prior/snapshots/7ca32c21c3b4d4e35bbb94fcfedfb4fa2259bd91/image_encoder",
+  "architectures": [
+    "CLIPVisionModelWithProjection"
+  ],
+  "attention_dropout": 0.0,
+  "dropout": 0.0,
+  "hidden_act": "quick_gelu",
+  "hidden_size": 1024,
+  "image_size": 224,
+  "initializer_factor": 1.0,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "model_type": "clip_vision_model",
+  "num_attention_heads": 16,
+  "num_channels": 3,
+  "num_hidden_layers": 24,
+  "patch_size": 14,
+  "projection_dim": 768,
+  "torch_dtype": "float16",
+  "transformers_version": "4.41.1"
+}

image_encoder/model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0dd0c1777bb75e2e9b7aa29b799b3ee8ebaaaa731e2c471a9ec589f12542cce7
+size 607980096

model_index.json

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+{
+  "_class_name": "StableCascadePriorPipeline",
+  "_diffusers_version": "0.28.2",
+  "_name_or_path": "stabilityai/stable-cascade-prior",
+  "feature_extractor": [
+    "transformers",
+    "CLIPImageProcessor"
+  ],
+  "image_encoder": [
+    "transformers",
+    "CLIPVisionModelWithProjection"
+  ],
+  "prior": [
+    "diffusers",
+    "StableCascadeUNet"
+  ],
+  "resolution_multiple": 42.67,
+  "scheduler": [
+    "diffusers",
+    "DDPMWuerstchenScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModelWithProjection"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizerFast"
+  ]
+}

prior/config.json

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+{
+  "_class_name": "StableCascadeUNet",
+  "_diffusers_version": "0.28.2",
+  "block_out_channels": [
+    2048,
+    2048
+  ],
+  "block_types_per_layer": [
+    [
+      "SDCascadeResBlock",
+      "SDCascadeTimestepBlock",
+      "SDCascadeAttnBlock"
+    ],
+    [
+      "SDCascadeResBlock",
+      "SDCascadeTimestepBlock",
+      "SDCascadeAttnBlock"
+    ]
+  ],
+  "clip_image_in_channels": 768,
+  "clip_seq": 4,
+  "clip_text_in_channels": 1280,
+  "clip_text_pooled_in_channels": 1280,
+  "conditioning_dim": 2048,
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