metadata

language:
  - en
thumbnail: >-
  https://huggingface.co./KnightMichael/yagamitaichi/resolve/main/README-FILES/yagamitaichi-thumbnail.jpg
datasets:
  - yagamitaichi
tags:
  - yagami-taichi
  - tai-kamiya
  - hypernetwork
  - boy
  - character
  - model
  - digimon
  - adventure
  - '1999'
  - anime
  - anything-3.0
  - stable-diffusion
  - text-to-image
  - deepbooru
  - tags
  - 1boy

Yagami Taichi (Tai Kamiya) Hypernetwork Boy Character Model from Digimon Adventure (1999) Anime for Anything 3.0

Base Model

Checkpoint: Anything-V3.0-pruned.ckpt
VAE: Anything-V3.0.vae.pt

Hypernetwork Parameters

Modules: 768, 1024, 320, 640, 1280
Layer structure: 1, 2, 1
Activation function: Linear
Layer weights initialization: Normal
Layer normalization: No
Dropout: No

Training Parameters

Learning rate: 0.00001
Batch size: 1
Gradient accumulation steps: 1
Dataset: yagamitaichi
Prompt template file: hypernetwork.txt
Width: 512
Height: 512
Steps: 100000, 125000, 150000, 175000, 200000

Dataset Creation

296 images of Tai alone captured from episodes 1 to 21.
Manually cropped to 1:1 and resized to 512x512 using Birme.
Automatically tagged by DeepBooru.

How to Use

Recommended Colab

Set up the Anything 3.0 model. I will specifically use the model Anything-V3.0-pruned.ckpt, since it was the same model that I used for training the hypernetwork. In the recommended Colab, paste the following link in the "Link_CKPT" field and execute all cells except the last one:
```
https://huggingface.co./Linaqruf/anything-v3.0/resolve/main/Anything-V3.0-pruned.ckpt
```
Optional, but recommended: Set up the Anything 3.0 VAE. 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, add a new code cell, paste the following command line inside and execute it:
```
!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
```
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.
In the recommended Colab, add a new code cell, paste the following command lines inside and execute it:
```
!mkdir /content/gdrive/MyDrive/sd/stable-diffusion-webui/models/hypernetworks
!wget -O /content/gdrive/MyDrive/sd/stable-diffusion-webui/models/hypernetworks/yagamitaichi-200000.pt https://huggingface.co./KnightMichael/yagamitaichi/resolve/main/yagamitaichi-200000.pt
```
In the recommended Colab, now you can execute the last cell, wait until the link to the web UI appears and get in.
In the web UI, go to "Settings" tab and set the following:
- SD VAE to the Anything VAE. (Only if you did the step 2)
- Hypernetwork to the "yagamitaichi" model.
Then, click the "Apply settings" button.

Prompting

Include in your prompt the tags contained in the dataset 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:

290: brown_hair
266: solo
237: smile
229: male_focus
226: brown_eyes
221: goggles
209: goggles_on_head
188: 1boy
184: open_mouth
183: eyewear_on_head
132: :d
125: spiked_hair
107: sky
102: gloves
99: blue_headwear
99: star_(symbol)
95: hat
93: outdoors
85: goggles_on_headwear
80: day
70: sunglasses
69: face
58: cloud
52: tree
51: shirt
50: short_sleeves
47: looking_at_viewer
47: white_gloves
45: blue_shirt
45: brown_shorts
42: 1girl
38: blue_vest
35: shorts
28: snow
27: star_print
26: close-up
25: blue_sky
25: closed_mouth
22: black_eyes
22: brick_wall
22: tile_floor
22: tiles
21: palm_tree
20: multiple_boys
19: blue_background
19: night
19: star_(sky)
19: tile_wall
18: night_sky
16: light_particles
15: bare_tree
15: eyewear_on_headwear
15: grass
15: snowing
15: starfish
15: visor_cap
14: beach
14: chain-link_fence
14: nature
14: plant
14: starry_sky
14: sweat
14: teeth
13: clenched_hand
13: from_behind
13: honeycomb_(pattern)
13: honeycomb_background
13: raimon
13: shoes
13: simple_background
12: 2boys
12: closed_eyes
12: short_hair
11: brick_floor
11: fence
11: full_body
11: grin
11: moon
11: road
11: socks
11: space
11: standing
11: stone_floor
11: wall
10: bathroom
10: indoors
10: pavement
10: water
9: bush
9: forest
9: hexagon
9: leaf
9: mountain
9: sand
9: window
9: yellow_background
8: dark_skin
8: hilbert_(pokemon)
8: outstretched_arm
8: pants
8: pine_tree
8: shooting_star
8: stone_wall
8: sweatdrop
8: yellow-framed_eyewear
7: beret
7: brick
7: desert
7: long_hair
7: potted_plant
7: starry_background
7: tanabata
7: upper_body
6: aurora
6: branch
6: clenched_hands
6: cloudy_sky
6: computer
6: floor
6: milky_way
6: sneakers
6: spider_web
6: starry_sky_print
6: tan
5: bubble
5: dark-skinned_female
5: desk
5: door
5: foreshortening
5: hairband
5: headband
5: laptop
5: outstretched_hand
5: palm_leaf
5: sailor_moon_redraw_challenge
5: shaded_face
5: sitting
5: soccer_uniform
5: sportswear
5: tongue
4: bamboo
4: blue_footwear
4: blurry
4: building
4: cliff
4: earth_(planet)
4: eyelashes
4: full_moon
4: gradient
4: gradient_background
4: in_tree
4: island
4: jacket
4: ocean
4: planet
4: shore
4: silk
4: tanzaku
4: toilet
4: yellow_sky
3: baseball_cap
3: black_hair
3: blue_headband
3: blurry_foreground
3: ceiling
3: chimney
3: cracked_wall
3: depth_of_field
3: endou_mamoru
3: facing_away
3: footprints
3: forehead
3: from_side
3: galaxy
3: locker
3: lying
3: profile
3: rock
3: rooftop
3: sitting_in_tree
3: snowflakes
3: vest
3: winter
2: aerial_fireworks
2: against_tree
2: air_bubble
2: argyle_background
2: ash_ketchum
2: back-to-back
2: bangs
2: blur_censor
2: blurry_background
2: bokeh
2: boots
2: chromatic_aberration
2: crack
2: crossed_arms
2: dappled_sunlight
2: debris
2: field
2: figure
2: fireworks
2: flower
2: focused
2: horizon
2: lake
2: locker_room
2: map
2: mole
2: monitor
2: motion_blur
2: net
2: on_grass
2: one_eye_closed
2: orange_background
2: orange_sky
2: outstretched_arms
2: parody
2: path
2: photo_(medium)
2: pointing
2: ponytail
2: pov
2: pov_hands
2: raimon_soccer_uniform
2: reaching
2: reaching_out
2: restroom
2: roto
2: sakaguchi_karina
2: sand_castle
2: sand_sculpture
2: seashell
2: shell
2: shower_(place)
2: skyscraper
2: snorkel
2: solo_focus
2: spread_fingers
2: sunset
2: tail
2: television
2: tree_shade
2: tree_stump
2: underwater
2: white_footwear
2: white_headwear
2: white-framed_eyewear
1: :3
1: ^_^
1: against_wall
1: aircraft
1: animal
1: armband
1: belt
1: blue_jacket
1: blue_sailor_collar
1: book
1: brown_belt
1: bug
1: buttons
1: cabbie_hat
1: chain
1: character_name
1: checkered_background
1: cherry_blossoms
1: chibi
1: christmas_tree
1: city
1: city_lights
1: coconut
1: constellation
1: copyright_name
1: cosplay
1: crying
1: cum
1: curtain_grab
1: curtains
1: dark-skinned_male
1: digimon_(creature)
1: diving_mask
1: eye_focus
1: facial
1: fangs
1: film_grain
1: fire
1: fireflies
1: food
1: forehead_protector
1: from_below
1: fruit
1: gakuran
1: giant
1: green_background
1: grey_eyes
1: helmet
1: hood
1: indian_style
1: keyboard_(computer)
1: layered_sleeves
1: leaf_background
1: lily_pad
1: looking_back
1: meme
1: nate_(pokemon)
1: nishizumi_miho
1: on_ground
1: perspective
1: pillar
1: pillow
1: pink_background
1: pink_hair
1: police
1: pool
1: racket
1: refrigerator
1: serious
1: shelf
1: short_over_long_sleeves
1: simon_(ttgl)
1: sleeves_rolled_up
1: street
1: sun
1: sweating_profusely
1: tears
1: traditional_media
1: uniform
1: vines
1: water_drop
1: watermelon
1: waves
1: white_background
1: white_flower
1: yellow_scarf
1: yellow_shirt

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.

1boy, male_focus, brown_eyes, brown_hair, blue_headwear, goggles, goggles_on_head, :d
Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 19990801, Size: 512x512, Model hash: 2700c435, Hypernet: yagamitaichi-200000

Hypernetwork Strength

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.

Examples

1boy, brown_hair, headband, blue_shirt, star_\(symbol\), brown_shorts, white_gloves, socks, shoes, from_behind, standing on a cliff, cumulonimbus clouds, sunrise
Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 4240373175, Size: 768x1024, Model hash: 2700c435, Hypernet: yagamitaichi-200000, Hypernet strength: 0.7

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
Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 441170169, Size: 768x1024, Model hash: 2700c435, Hypernet: yagamitaichi-200000, Hypernet strength: 0.6

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
Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 3647976317, Size: 768x1024, Model hash: 2700c435, Hypernet: yagamitaichi-200000, Hypernet strength: 0.7

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
Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 3595266551, Size: 768x1024, Model hash: 2700c435, Hypernet: yagamitaichi-200000, Hypernet strength: 0.7

1boy, brown_eyes, brown_hair, headband, goggles_on_head, standing in bright city at night
Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 3910907477, Size: 768x1024, Model hash: 2700c435, Hypernet: yagamitaichi-200000, Hypernet strength: 0.7

1boy, brown_eyes, brown_hair, blue_headwear, goggles_on_head, wearing an open shirt hoodie, eating a popsicle in the beach
Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 1135025946, Size: 768x1024, Model hash: 2700c435, Hypernet: yagamitaichi-200000, Hypernet strength: 0.6

a portrait of a 1boy, brown_eyes, brown_hair, headband, goggles_on_head, brown_shorts, shirtless, surfist, standing in a tropical island
Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 2856886676, Size: 768x1024, Model hash: 2700c435, Hypernet: yagamitaichi-200000, Hypernet strength: 0.6

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
Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 1027287060, Size: 768x1024, Model hash: 2700c435, Hypernet: yagamitaichi-200000, Hypernet strength: 0.7