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README.md ADDED
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+ ---
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+ language:
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+ - en
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+ thumbnail: "https://huggingface.co/KnightMichael/yagamitaichi/resolve/main/README-FILES/yagamitaichi-thumbnail.jpg"
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+ datasets:
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+ - yagamitaichi
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+ tags:
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+ - yagami-taichi
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+ - tai-kamiya
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+ - hypernetwork
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+ - boy
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+ - character
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+ - model
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+ - digimon
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+ - adventure
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+ - "1999"
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+ - anime
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+ - anything-3.0
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+ - stable-diffusion
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+ - text-to-image
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+ - deepbooru
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+ - tags
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+ - 1boy
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+ ---
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+
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+ # Yagami Taichi (Tai Kamiya) Hypernetwork Boy Character Model from Digimon Adventure (1999) Anime for Anything 3.0
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+
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+ ![Yagami Taichi (Tai Kamiya)](/KnightMichael/yagamitaichi/resolve/main/README-FILES/yagamitaichi.png)
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+
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+ # Base Model
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+
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+ - Checkpoint: [Anything-V3.0-pruned.ckpt](/Linaqruf/anything-v3.0/blob/main/Anything-V3.0-pruned.ckpt)
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+ - VAE: [Anything-V3.0.vae.pt](/Linaqruf/anything-v3.0/blob/main/Anything-V3.0.vae.pt)
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+
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+ # Hypernetwork Parameters
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+
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+ - Modules: 768, 1024, 320, 640, 1280
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+ - Layer structure: 1, 2, 1
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+ - Activation function: Linear
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+ - Layer weights initialization: Normal
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+ - Layer normalization: No
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+ - Dropout: No
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+
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+ # Training Parameters
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+
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+ - Learning rate: 0.00001
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+ - Batch size: 1
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+ - Gradient accumulation steps: 1
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+ - Dataset: [yagamitaichi](/datasets/KnightMichael/yagamitaichi)
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+ - Prompt template file: [hypernetwork.txt](README-FILES/hypernetwork.txt)
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+ - Width: 512
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+ - Height: 512
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+ - Steps: [100000](yagamitaichi-100000.pt), [125000](yagamitaichi-125000.pt), [150000](yagamitaichi-150000.pt), [175000](yagamitaichi-175000.pt), [200000](yagamitaichi-200000.pt)
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+
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+ # Dataset Creation
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+
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+ - 296 images of Tai alone captured from episodes 1 to 21.
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+ - Manually cropped to 1:1 and resized to 512x512 using Birme.
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+ - Automatically tagged by DeepBooru.
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+
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+ # How to Use
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+
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+ [Recommended Colab](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
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+
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+ 1. Set up the [Anything 3.0](/Linaqruf/anything-v3.0) model. I will specifically use the model [Anything-V3.0-pruned.ckpt](/Linaqruf/anything-v3.0/blob/main/Anything-V3.0-pruned.ckpt), since it was the same model that I used for training the hypernetwork. In the [recommended Colab](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb), paste the following link in the "Link_CKPT" field and execute all cells except the last one:
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+
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+ ```
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+ https://huggingface.co/Linaqruf/anything-v3.0/resolve/main/Anything-V3.0-pruned.ckpt
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+ ```
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+
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+ 2. Optional, but recommended: Set up the [Anything 3.0 VAE](/Linaqruf/anything-v3.0/blob/main/Anything-V3.0.vae.pt). The hypernetwork model was trained using this VAE, but is not 100% necessary. However, the examples shown here were generated using it. The most significant difference I have noticed is more vivid colors in generated images when using the VAE. In the [recommended Colab](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb), add a new code cell, paste the following command line inside and execute it:
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+
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+ ```
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+ !wget -O /content/gdrive/MyDrive/sd/stable-diffusion-webui/models/VAE/Anything-V3.0.vae.pt https://huggingface.co/Linaqruf/anything-v3.0/resolve/main/Anything-V3.0.vae.pt
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+ ```
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+
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+ 3. Set up the desired hypernetwork model PT file. There are 5 different models. The number in the file name indicates the amount of training steps. I recommend to use the model with highest number of steps, since it was training for a longer time. If you want to compare the training steps performance, feel free to try the other models too. The examples shown here were generated using the 200000 steps version.
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+
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+ - [yagamitaichi-200000.pt (Recommended)](yagamitaichi-200000.pt)
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+ - [yagamitaichi-175000.pt](yagamitaichi-175000.pt)
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+ - [yagamitaichi-150000.pt](yagamitaichi-150000.pt)
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+ - [yagamitaichi-125000.pt](yagamitaichi-125000.pt)
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+ - [yagamitaichi-100000.pt](yagamitaichi-100000.pt)
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+
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+ In the [recommended Colab](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb), add a new code cell, paste the following command lines inside and execute it:
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+
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+ ```
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+ !mkdir /content/gdrive/MyDrive/sd/stable-diffusion-webui/models/hypernetworks
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+ !wget -O /content/gdrive/MyDrive/sd/stable-diffusion-webui/models/hypernetworks/yagamitaichi-200000.pt https://huggingface.co/KnightMichael/yagamitaichi/resolve/main/yagamitaichi-200000.pt
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+ ```
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+
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+ 4. In the [recommended Colab](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb), now you can execute the last cell, wait until the link to the web UI appears and get in.
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+
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+ 5. In the web UI, go to "Settings" tab and set the following:
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+
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+ - SD VAE to the Anything VAE. (Only if you did the step 2)
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+ - Hypernetwork to the "yagamitaichi" model.
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+
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+ Then, click the "Apply settings" button.
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+
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+ # Prompting
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+
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+ Include in your prompt the tags contained in the [dataset](/datasets/KnightMichael/yagamitaichi) TXT files that best describe the character's aspects you want to reflect in the output. Here is a list with all the 335 existing tags in the dataset sorted by number of occurrences:
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+
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+ - 290: brown_hair
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+ - 266: solo
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+ - 237: smile
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+ - 229: male_focus
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+ - 226: brown_eyes
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+ - 221: goggles
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+ - 209: goggles_on_head
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+ - 188: 1boy
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+ - 184: open_mouth
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+ - 183: eyewear_on_head
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+ - 132: :d
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+ - 125: spiked_hair
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+ - 107: sky
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+ - 102: gloves
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+ - 99: blue_headwear
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+ - 99: star_\(symbol\)
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+ - 95: hat
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+ - 93: outdoors
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+ - 85: goggles_on_headwear
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+ - 80: day
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+ - 70: sunglasses
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+ - 69: face
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+ - 58: cloud
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+ - 52: tree
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+ - 51: shirt
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+ - 50: short_sleeves
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+ - 47: looking_at_viewer
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+ - 47: white_gloves
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+ - 45: blue_shirt
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+ - 45: brown_shorts
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+ - 42: 1girl
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+ - 38: blue_vest
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+ - 35: shorts
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+ - 28: snow
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+ - 27: star_print
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+ - 26: close-up
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+ - 25: blue_sky
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+ - 25: closed_mouth
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+ - 22: black_eyes
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+ - 22: brick_wall
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+ - 22: tile_floor
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+ - 22: tiles
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+ - 21: palm_tree
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+ - 20: multiple_boys
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+ - 19: blue_background
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+ - 19: night
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+ - 19: star_\(sky\)
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+ - 19: tile_wall
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+ - 18: night_sky
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+ - 16: light_particles
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+ - 15: bare_tree
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+ - 15: eyewear_on_headwear
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+ - 15: grass
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+ - 15: snowing
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+ - 15: starfish
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+ - 15: visor_cap
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+ - 14: beach
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+ - 14: chain-link_fence
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+ - 14: nature
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+ - 14: plant
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+ - 14: starry_sky
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+ - 14: sweat
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+ - 14: teeth
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+ - 13: clenched_hand
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+ - 13: from_behind
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+ - 13: honeycomb_\(pattern\)
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+ - 13: honeycomb_background
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+ - 13: raimon
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+ - 13: shoes
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+ - 13: simple_background
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+ - 12: 2boys
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+ - 12: closed_eyes
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+ - 12: short_hair
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+ - 11: brick_floor
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+ - 11: fence
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+ - 11: full_body
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+ - 11: grin
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+ - 11: moon
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+ - 11: road
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+ - 11: socks
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+ - 11: space
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+ - 11: standing
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+ - 11: stone_floor
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+ - 11: wall
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+ - 10: bathroom
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+ - 10: indoors
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+ - 10: pavement
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+ - 10: water
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+ - 9: bush
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+ - 9: forest
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+ - 9: hexagon
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+ - 9: leaf
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+ - 9: mountain
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+ - 9: sand
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+ - 9: window
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+ - 9: yellow_background
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+ - 8: dark_skin
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+ - 8: hilbert_\(pokemon\)
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+ - 8: outstretched_arm
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+ - 8: pants
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+ - 8: pine_tree
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+ - 8: shooting_star
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+ - 8: stone_wall
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+ - 8: sweatdrop
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+ - 8: yellow-framed_eyewear
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+ - 7: beret
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+ - 7: brick
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+ - 7: desert
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+ - 7: long_hair
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+ - 7: potted_plant
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+ - 7: starry_background
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+ - 7: tanabata
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+ - 7: upper_body
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+ - 6: aurora
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+ - 6: branch
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+ - 6: clenched_hands
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+ - 6: cloudy_sky
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+ - 6: computer
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+ - 6: floor
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+ - 6: milky_way
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+ - 6: sneakers
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+ - 6: spider_web
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+ - 6: starry_sky_print
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+ - 6: tan
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+ - 5: bubble
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+ - 5: dark-skinned_female
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+ - 5: desk
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+ - 5: door
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+ - 5: foreshortening
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+ - 5: hairband
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+ - 5: headband
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+ - 5: laptop
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+ - 5: outstretched_hand
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+ - 5: palm_leaf
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+ - 5: sailor_moon_redraw_challenge
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+ - 5: shaded_face
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+ - 5: sitting
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+ - 5: soccer_uniform
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+ - 5: sportswear
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+ - 5: tongue
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+ - 4: bamboo
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+ - 4: blue_footwear
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+ - 4: blurry
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+ - 4: building
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+ - 4: cliff
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+ - 4: earth_\(planet\)
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+ - 4: eyelashes
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+ - 4: full_moon
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+ - 4: gradient
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+ - 4: gradient_background
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+ - 4: in_tree
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+ - 4: island
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+ - 4: jacket
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+ - 4: ocean
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+ - 4: planet
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+ - 4: shore
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+ - 4: silk
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+ - 4: tanzaku
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+ - 4: toilet
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+ - 4: yellow_sky
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+ - 3: baseball_cap
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+ - 3: black_hair
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+ - 3: blue_headband
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+ - 3: blurry_foreground
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+ - 3: ceiling
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+ - 3: chimney
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+ - 3: cracked_wall
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+ - 3: depth_of_field
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+ - 3: endou_mamoru
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+ - 3: facing_away
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+ - 3: footprints
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+ - 3: forehead
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+ - 3: from_side
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+ - 3: galaxy
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+ - 3: locker
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+ - 3: lying
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+ - 3: profile
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+ - 3: rock
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+ - 3: rooftop
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+ - 3: sitting_in_tree
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+ - 3: snowflakes
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+ - 3: vest
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+ - 3: winter
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+ - 2: aerial_fireworks
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+ - 2: against_tree
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+ - 2: air_bubble
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+ - 2: argyle_background
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+ - 2: ash_ketchum
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+ - 2: back-to-back
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+ - 2: bangs
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+ - 2: blur_censor
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+ - 2: blurry_background
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+ - 2: bokeh
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+ - 2: boots
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+ - 2: chromatic_aberration
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+ - 2: crack
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+ - 2: crossed_arms
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+ - 2: dappled_sunlight
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+ - 2: debris
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+ - 2: field
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+ - 2: figure
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+ - 2: fireworks
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+ - 2: flower
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+ - 2: focused
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+ - 2: horizon
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+ - 2: lake
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+ - 2: locker_room
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+ - 2: map
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+ - 2: mole
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+ - 2: monitor
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+ - 2: motion_blur
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+ - 2: net
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+ - 2: on_grass
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+ - 2: one_eye_closed
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+ - 2: orange_background
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+ - 2: orange_sky
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+ - 2: outstretched_arms
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+ - 2: parody
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+ - 2: path
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+ - 2: photo_\(medium\)
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+ - 2: pointing
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+ - 2: ponytail
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+ - 2: pov
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+ - 2: pov_hands
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+ - 2: raimon_soccer_uniform
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+ - 2: reaching
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+ - 2: reaching_out
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+ - 2: restroom
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+ - 2: roto
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+ - 2: sakaguchi_karina
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+ - 2: sand_castle
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+ - 2: sand_sculpture
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+ - 2: seashell
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+ - 2: shell
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+ - 2: shower_\(place\)
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+ - 2: skyscraper
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+ - 2: snorkel
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+ - 2: solo_focus
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+ - 2: spread_fingers
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+ - 2: sunset
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+ - 2: tail
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+ - 2: television
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+ - 2: tree_shade
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+ - 2: tree_stump
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+ - 2: underwater
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+ - 2: white_footwear
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+ - 2: white_headwear
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+ - 2: white-framed_eyewear
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+ - 1: :3
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+ - 1: ^_^
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+ - 1: against_wall
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+ - 1: aircraft
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+ - 1: animal
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+ - 1: armband
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+ - 1: belt
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+ - 1: blue_jacket
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+ - 1: blue_sailor_collar
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+ - 1: book
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+ - 1: brown_belt
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+ - 1: bug
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+ - 1: buttons
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+ - 1: cabbie_hat
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+ - 1: chain
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+ - 1: character_name
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+ - 1: checkered_background
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+ - 1: cherry_blossoms
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+ - 1: chibi
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+ - 1: christmas_tree
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+ - 1: city
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+ - 1: city_lights
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+ - 1: coconut
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+ - 1: constellation
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+ - 1: copyright_name
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+ - 1: cosplay
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+ - 1: crying
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+ - 1: cum
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+ - 1: curtain_grab
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+ - 1: curtains
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+ - 1: dark-skinned_male
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+ - 1: digimon_\(creature\)
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+ - 1: diving_mask
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+ - 1: eye_focus
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+ - 1: facial
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+ - 1: fangs
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+ - 1: film_grain
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+ - 1: fire
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+ - 1: fireflies
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+ - 1: food
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+ - 1: forehead_protector
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+ - 1: from_below
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+ - 1: fruit
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+ - 1: gakuran
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+ - 1: giant
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+ - 1: green_background
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+ - 1: grey_eyes
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+ - 1: helmet
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+ - 1: hood
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+ - 1: indian_style
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+ - 1: keyboard_\(computer\)
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+ - 1: layered_sleeves
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+ - 1: leaf_background
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+ - 1: lily_pad
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+ - 1: looking_back
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+ - 1: meme
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+ - 1: nate_\(pokemon\)
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+ - 1: nishizumi_miho
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+ - 1: on_ground
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+ - 1: perspective
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+ - 1: pillar
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+ - 1: pillow
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+ - 1: pink_background
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+ - 1: pink_hair
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+ - 1: police
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+ - 1: pool
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+ - 1: racket
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+ - 1: refrigerator
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+ - 1: serious
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+ - 1: shelf
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+ - 1: short_over_long_sleeves
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+ - 1: simon_\(ttgl\)
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+ - 1: sleeves_rolled_up
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+ - 1: street
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+ - 1: sun
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+ - 1: sweating_profusely
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+ - 1: tears
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+ - 1: traditional_media
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+ - 1: uniform
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+ - 1: vines
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+ - 1: water_drop
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+ - 1: watermelon
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+ - 1: waves
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+ - 1: white_background
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+ - 1: white_flower
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+ - 1: yellow_scarf
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+ - 1: yellow_shirt
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+
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+ Note that not all the tags refer to the character itself. The tags that allude environment elements, can be ignored. Tags with more occurrences are better.
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+
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+ ![Prompting](/KnightMichael/yagamitaichi/resolve/main/README-FILES/prompting.png)
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+
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+ ```
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+ 1boy, male_focus, brown_eyes, brown_hair, blue_headwear, goggles, goggles_on_head, :d
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+ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 19990801, Size: 512x512, Model hash: 2700c435, Hypernet: yagamitaichi-200000
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+ ```
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+
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+ # Hypernetwork Strength
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+
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+ Adjust the "Hypernetwork strength" parameter to get better results. This parameter can be found in the "Settings" tab below the "Hypernetwork" parameter. The hypernetwork strength indicates how much influence the hypernetwork model has against the base model. The values go from "0" to "1", where "0" is no influence (same as set the "Hypernetwork" to "None") and "1" is total influence. Don't forget to apply changes.
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+
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+ ![Hypernetwork Strength](/KnightMichael/yagamitaichi/resolve/main/README-FILES/hypernetwork-strength.png)
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+
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+ # Examples
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+
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+ ![Example 1](/KnightMichael/yagamitaichi/resolve/main/README-FILES/example-1.png)
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+
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+ ```
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+ 1boy, brown_hair, headband, blue_shirt, star_\(symbol\), brown_shorts, white_gloves, socks, shoes, from_behind, standing on a cliff, cumulonimbus clouds, sunrise
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+ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 4240373175, Size: 768x1024, Model hash: 2700c435, Hypernet: yagamitaichi-200000, Hypernet strength: 0.7
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+ ```
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+
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+ ![Example 2](/KnightMichael/yagamitaichi/resolve/main/README-FILES/example-2.png)
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+
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+ ```
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+ a portrait of a 1boy, brown_eyes, brown_hair, headband, goggles_on_head, blue_shirt, star_\(symbol\), brown_shorts, white_gloves, socks, shoes, sitting on a rock on the beach at sunset
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+ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 441170169, Size: 768x1024, Model hash: 2700c435, Hypernet: yagamitaichi-200000, Hypernet strength: 0.6
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+ ```
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+
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+ ![Example 3](/KnightMichael/yagamitaichi/resolve/main/README-FILES/example-3.png)
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+
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+ ```
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+ a portrait of a 1boy, brown_eyes, brown_hair, headband, goggles_on_head, blue_shirt, star_\(symbol\), brown_shorts, standing in a sunflower field, crying, clutching his chest
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+ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 3647976317, Size: 768x1024, Model hash: 2700c435, Hypernet: yagamitaichi-200000, Hypernet strength: 0.7
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+ ```
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+
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+ ![Example 4](/KnightMichael/yagamitaichi/resolve/main/README-FILES/example-4.png)
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+
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+ ```
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+ a portrait of a 1boy, brown_eyes, brown_hair, headband, goggles_on_head, blue_shirt, star_\(symbol\), brown_shorts, white_gloves, socks, shoes, standing on a snowy peak looking up, take from below, aurora borealis
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+ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 3595266551, Size: 768x1024, Model hash: 2700c435, Hypernet: yagamitaichi-200000, Hypernet strength: 0.7
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+ ```
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+
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+ ![Example 5](/KnightMichael/yagamitaichi/resolve/main/README-FILES/example-5.png)
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+
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+ ```
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+ 1boy, brown_eyes, brown_hair, headband, goggles_on_head, standing in bright city at night
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+ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 3910907477, Size: 768x1024, Model hash: 2700c435, Hypernet: yagamitaichi-200000, Hypernet strength: 0.7
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+ ```
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+
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+ ![Example 6](/KnightMichael/yagamitaichi/resolve/main/README-FILES/example-6.png)
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+
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+ ```
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+ 1boy, brown_eyes, brown_hair, blue_headwear, goggles_on_head, wearing an open shirt hoodie, eating a popsicle in the beach
497
+ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 1135025946, Size: 768x1024, Model hash: 2700c435, Hypernet: yagamitaichi-200000, Hypernet strength: 0.6
498
+ ```
499
+
500
+ ![Example 7](/KnightMichael/yagamitaichi/resolve/main/README-FILES/example-7.png)
501
+
502
+ ```
503
+ a portrait of a 1boy, brown_eyes, brown_hair, headband, goggles_on_head, brown_shorts, shirtless, surfist, standing in a tropical island
504
+ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 2856886676, Size: 768x1024, Model hash: 2700c435, Hypernet: yagamitaichi-200000, Hypernet strength: 0.6
505
+ ```
506
+
507
+ ![Example 8](/KnightMichael/yagamitaichi/resolve/main/README-FILES/example-8.png)
508
+
509
+ ```
510
+ 1boy, brown_eyes, brown_hair, headband, goggles_on_head, blue_shirt, star_\(symbol\), brown_shorts, white_gloves, socks, shoes, open_mouth, sitting at a school desk
511
+ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 1027287060, Size: 768x1024, Model hash: 2700c435, Hypernet: yagamitaichi-200000, Hypernet strength: 0.7
512
+ ```
yagamitaichi-100000.pt ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:c4a33fdb20b624d610ff5f5cdfa5e5a2ac1558df06b195ad96c04c54cab99b24
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+ size 87770717
yagamitaichi-125000.pt ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:31de98ec4d3fb675b9e3f9268fd98dcfe0005c785e026b5731bd1780712a105d
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+ size 87770717
yagamitaichi-150000.pt ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:17c28c8ce61023ba0c9181dd7cb86f9fdd64061cc24d60c5853b717067e1139d
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+ size 87770717
yagamitaichi-175000.pt ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:f6dc4052140b1c0c58534a37f66527e3166da417aed8af3e39e824767938b11f
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+ size 87770717
yagamitaichi-200000.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:90397f874bd3399bc722e19f1bbdac329e13a2e9ff0d6e7e8a8c18693d948e88
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+ size 87770717