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LICENSE

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+STABILITY AI NON-COMMERCIAL RESEARCH COMMUNITY LICENSE AGREEMENT	
+Dated: November 28, 2023
+
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+principles. 

README.md

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+---
+pipeline_tag: text-to-image
+license: other
+license_name: stable-cascade-nc-community
+license_link: LICENSE
+---
+
+# SoteDiffusion Cascade
+
+Anime finetune of Stable Cascade.  
+Currently is in very early state in training.  
+No commercial use thanks to StabilityAI.  
+
+<style>
+.image {
+    float: left;
+    margin-left: 10px;
+}
+</style>
+
+<table>
+<img class="image" src="placeholder" width="320">
+<img class="image" src="placeholder" width="320">
+</table>
+
+## Code Example
+
+```shell
+pip install diffusers
+```
+
+```python
+import torch
+from diffusers import StableCascadeDecoderPipeline, StableCascadePriorPipeline
+
+prompt = "newest, 1girl, solo, cat ears, looking at viewer, blush, light smile,"
+negative_prompt = "very displeasing, worst quality, monochrome, sketch, fat, child,"
+
+prior = StableCascadePriorPipeline.from_pretrained("Disty0/sote-diffusion-cascade_alpha0", torch_dtype=torch.float16)
+decoder = StableCascadeDecoderPipeline.from_pretrained("Disty0/sote-diffusion-cascade-decoder_alpha0", torch_dtype=torch.float16)
+
+prior.enable_model_cpu_offload()
+prior_output = prior(
+    prompt=prompt,
+    height=1024,
+    width=1024,
+    negative_prompt=negative_prompt,
+    guidance_scale=7.0,
+    num_images_per_prompt=1,
+    num_inference_steps=40
+)
+
+decoder.enable_model_cpu_offload()
+decoder_output = decoder(
+    image_embeddings=prior_output.image_embeddings,
+    prompt=prompt,
+    negative_prompt=negative_prompt,
+    guidance_scale=1.5
+    output_type="pil",
+    num_inference_steps=10
+).images[0]
+decoder_output.save("cascade.png")
+```
+
+
+## Training Status:
+
+**Alpha0 Release**: This release resets the training and uses the new taggers.  
+
+
+**GPU used for training**: 1x AMD RX 7900 XTX 24GB  
+
+| dataset name | training done | remaining |
+|---|---|---|
+| **newest** | 000 | 230 |
+| **late** | 000 | 206 |
+| **mid** | 000 | 201 |
+| **early** | 000 | 055 |
+| **oldest** | 000 | 016 |
+| **pixiv** | 000 | 074 |
+| **visual novel cg** | 002 | 070 |
+| **anime wallpaper** | 002 | 013 |
+| **Total** | 8 | 865 |
+
+**Note**: chunks starts from 0 and there are 8000 images per chunk  
+
+
+## Dataset:
+
+**GPU used for captioning**: 1x Intel ARC A770 16GB  
+**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 | total chunk |
+|---|---|---|
+| **newest** | 1.843.053 | 221 |
+| **late** | 1.652.420 | 207 |
+| **mid** | 1.609.608 | 202 |
+| **early** | 442.368 | 056 |
+| **oldest** | 128.311 | 017 |
+| **pixiv** | 594.046 | 075 |
+| **visual novel cg** | 560.903 | 071 |
+| **anime wallpaper** | 106.882 | 014 |
+| **Total** | 6.937.591 | 873 |
+
+**Note**: Smallest size is 1280x600 | 768.000 pixels
+
+
+## Tags:
+
+```
+aesthetic tags, quality tags, date tags, custom tags, character tags, rest of the tags
+```
+
+### Date:
+| tag | date |
+|---|---|
+| **newest** | 2022 to 2024 |
+| **late** | 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 |
+|---|---|
+| **0.90** | extremely aesthetic |
+| **0.80** | very aesthetic |
+| **0.70** | aesthetic |
+| **0.50** | slightly aesthetic |
+| **0.40** | not displeasing |
+| **0.30** | not aesthetic |
+| **0.20** | slightly displeasing |
+| **0.10** | displeasing |
+| **rest of them** | very displeasing |
+
+### Quality Tags:
+
+**Model used**: https://huggingface.co/hakurei/waifu-diffusion-v1-4/blob/main/models/aes-B32-v0.pth
+
+
+| score greater than | tag |
+|---|---|
+| **0.980** | best quality |
+| **0.900** | high quality |
+| **0.750** | great quality |
+| **0.500** | medium quality |
+| **0.250** | normal quality |
+| **0.125** | bad quality |
+| **0.025** | low quality |
+| **rest of them** | worst quality |
+
+## Custom Tags:
+
+| dataset name | custom tag |
+|---|---|
+| **booru** | date, |
+| **pixiv** | art by Display_Name, |
+| **visual novel cg** | Full_VN_Name (short_3_letter_name), visual novel cg, |
+| **anime wallpaper** | date, anime wallpaper, |
+
+## Training Params:
+
+**Software used**: Kohya SD-Scripts with Stable Cascade branch  
+**Base model**: KBlueLeaf/Stable-Cascade-FP16-fixed  
+
+### Command:
+```
+accelerate launch  --mixed_precision fp16 --num_cpu_threads_per_process 1 stable_cascade_train_stage_c.py \
+--mixed_precision fp16 \
+--save_precision fp16 \
+--full_fp16 \
+--sdpa \
+--gradient_checkpointing \
+--train_text_encoder \
+--resolution "1024,1024" \
+--train_batch_size 2 \
+--adaptive_loss_weight \
+--learning_rate 4e-6 \
+--lr_scheduler constant_with_warmup \
+--lr_warmup_steps 100 \
+--optimizer_type adafactor \
+--optimizer_args "scale_parameter=False" "relative_step=False" "warmup_init=False" \
+--max_grad_norm 0 \
+--token_warmup_min 1 \
+--token_warmup_step 0 \
+--shuffle_caption \
+--caption_dropout_rate 0 \
+--caption_tag_dropout_rate 0 \
+--caption_dropout_every_n_epochs 0 \
+--dataset_repeats 1 \
+--save_state \
+--save_every_n_steps 2048 \
+--sample_every_n_steps 512 \
+--max_token_length 225 \
+--max_train_epochs 1 \
+--caption_extension ".txt" \
+--max_data_loader_n_workers 2 \
+--persistent_data_loader_workers \
+--enable_bucket \
+--min_bucket_reso 256 \
+--max_bucket_reso 4096 \
+--bucket_reso_steps 64 \
+--bucket_no_upscale \
+--log_with tensorboard \
+--output_name sotediffusion-sc_3b \
+--train_data_dir /mnt/DataSSD/AI/anime_image_dataset/combined/combined-0000 \
+--in_json /mnt/DataSSD/AI/anime_image_dataset/combined/combined-0000.json \
+--output_dir /mnt/DataSSD/AI/SoteDiffusion/StableCascade/sotediffusion-sc_3b-0 \
+--logging_dir /mnt/DataSSD/AI/SoteDiffusion/StableCascade/sotediffusion-sc_3b-0/logs \
+--resume /mnt/DataSSD/AI/SoteDiffusion/StableCascade/sotediffusion-sc_3b-step00020480-state \
+--stage_c_checkpoint_path /mnt/DataSSD/AI/SoteDiffusion/StableCascade/sotediffusion-sc_3b-step00020480.safetensors \
+--text_model_checkpoint_path /mnt/DataSSD/AI/SoteDiffusion/StableCascade/sotediffusion-sc_3b-step00020480_text_model.safetensors \
+--effnet_checkpoint_path /mnt/DataSSD/AI/models/sd-cascade/effnet_encoder.safetensors \
+--previewer_checkpoint_path /mnt/DataSSD/AI/models/sd-cascade/previewer.safetensors \
+--sample_prompts /mnt/DataSSD/AI/SoteDiffusion/StableCascade/config/sotediffusion-prompt.txt
+```
+
+
+## Limitations and Bias
+
+### Bias
+
+- This model is intended for anime illustrations.  
+  Realistic capabilites are not tested at all.  
+- Still underbaked.  
+
+### Limitations
+- Can fall back to realistic.  
+  Use "anime illustration" tag to point it into the right direction.  
+- Far shot eyes are still bad thanks to the heavy latent compression.  

feature_extractor/preprocessor_config.json

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+{
+  "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

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+{
+  "_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": "4.36.2"
+}

image_encoder/model.safetensors

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model_index.json

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+{
+  "_class_name": "StableCascadePriorPipeline",
+  "_diffusers_version": "0.28.0.dev0",
+  "_name_or_path": "Disty0/sote-diffusion-cascade_alpha0",
+  "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": "0.28.0.dev0",
+  "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,
+  "down_blocks_repeat_mappers": [
+    1,
+    1
+  ],
+  "down_num_layers_per_block": [
+    8,
+    24
+  ],
+  "dropout": [
+    0.1,
+    0.1
+  ],
+  "effnet_in_channels": null,
+  "in_channels": 16,
+  "kernel_size": 3,
+  "num_attention_heads": [
+    32,
+    32
+  ],
+  "out_channels": 16,
+  "patch_size": 1,
+  "pixel_mapper_in_channels": null,
+  "self_attn": true,
+  "switch_level": [
+    false
+  ],
+  "timestep_conditioning_type": [
+    "sca",
+    "crp"
+  ],
+  "timestep_ratio_embedding_dim": 64,
+  "up_blocks_repeat_mappers": [
+    1,
+    1
+  ],
+  "up_num_layers_per_block": [
+    24,
+    8
+  ]
+}

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scheduler/scheduler_config.json

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+{
+  "_class_name": "DDPMWuerstchenScheduler",
+  "_diffusers_version": "0.28.0.dev0",
+  "s": 0.008,
+  "scaler": 1.0
+}

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text_encoder/config.json

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+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "dropout": 0.0,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_size": 1280,
+  "initializer_factor": 1.0,
+  "initializer_range": 0.02,
+  "intermediate_size": 5120,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 77,
+  "model_type": "clip_text_model",
+  "num_attention_heads": 20,
+  "num_hidden_layers": 32,
+  "pad_token_id": 1,
+  "projection_dim": 1280,
+  "torch_dtype": "float16",
+  "transformers_version": "4.36.2",
+  "vocab_size": 49408
+}

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tokenizer/special_tokens_map.json

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+  "bos_token": {
+    "content": "<|startoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer/tokenizer_config.json

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+  "add_prefix_space": false,
+  "added_tokens_decoder": {
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+      "content": "<|startoftext|>",
+      "lstrip": false,
+      "normalized": true,
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+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|startoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "do_lower_case": true,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 77,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "CLIPTokenizer",
+  "unk_token": "<|endoftext|>"
+}