Bernard Maltais
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Browse files- README.md +38 -0
- aesthetic_embeddings/silvery_trait.pt +3 -0
- kohya_train_db_v9.ps1 +52 -0
- prompt_words.md +443 -0
- silvery_trait_v3.ckpt +3 -0
README.md
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---
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license: unknown
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---
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# Silvery Trait finetuned style Model
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Produced from publicly available pictures in landscape, portrait and square format.
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Using words found in `prompt_words.md` within your prompt will produce better results. Other words can be used also but will tend to produce "weaker" results. Combining the use of the Aesthetic Gradient file provided in the `easthetic_embeddings` folder can greatly enhance the results.
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## Model info
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The models included was trained on "multi-resolution" images.
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## Using the model
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* common subject prompt tokens: `<wathever>, by asd artstyle`
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## Example prompts
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`a sheep, symmetry, by asd artstyle`:
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* without easthetic_embeddings
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<img src="https://huggingface.co/cyburn/silvery_trait/resolve/main/1.png" alt="Picture." width="500"/>
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* with easthetic_embeddings
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<img src="https://huggingface.co/cyburn/silvery_trait/resolve/main/2.png" alt="Picture." width="500"/>
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`crow, skull, symmetry, flower, feather, circle, by asd artstyle`
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* without easthetic_embeddings
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<img src="https://huggingface.co/cyburn/silvery_trait/resolve/main/3.png" alt="Picture." width="500"/>
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* with easthetic_embeddings
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<img src="https://huggingface.co/cyburn/silvery_trait/resolve/main/4.png" alt="Picture." width="500"/>
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aesthetic_embeddings/silvery_trait.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:070550d3462c89b59ca0a93fb387a9b0bc8dd7ba157e87416957acd145e6879c
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size 3819
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kohya_train_db_v9.ps1
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# This powershell script will create a model using the fine tuning dreambooth method. It will require landscape,
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# portrait and square images.
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#
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# Adjust the script to your own needs
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# variable values
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$pretrained_model_name_or_path = "D:\models\v1-5-pruned-mse-vae.ckpt"
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$data_dir = "D:\dreambooth\silvery_trait\raw_data\all-images-v3"
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$train_dir = "D:\dreambooth\silvery_trait\"
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$resolution = "768,576"
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$logging_dir = "D:\dreambooth\silvery_trait\training_logs"
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$image_num = Get-ChildItem $data_dir -Recurse -File -Include *.png, *.jpg, *.webp | Measure-Object | %{$_.Count}
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Write-Output "image_num: $image_num"
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$learning_rate = 1e-6
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$dataset_repeats = 40
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$train_batch_size = 6
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$epoch = 4
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$save_every_n_epochs=1
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$mixed_precision="fp16"
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$num_cpu_threads_per_process=6
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# You should not have to change values past this point
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$output_dir = $train_dir + "\finetuned_model"
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$repeats = $image_num * $dataset_repeats
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$mts = [Math]::Ceiling($repeats / $train_batch_size * $epoch)
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Write-Output "Repeats: $repeats"
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.\venv\Scripts\activate
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accelerate launch --num_cpu_threads_per_process $num_cpu_threads_per_process train_db_fixed.py `
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--pretrained_model_name_or_path=$pretrained_model_name_or_path `
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--train_data_dir=$data_dir `
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--output_dir=$output_dir `
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--resolution=$resolution `
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--train_batch_size=$train_batch_size `
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--learning_rate=$learning_rate `
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--max_train_steps=$mts `
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--use_8bit_adam `
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--xformers `
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--mixed_precision=$mixed_precision `
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--cache_latents `
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--save_every_n_epochs=$save_every_n_epochs `
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--fine_tuning `
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--enable_bucket `
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--dataset_repeats=$dataset_repeats `
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--logging_dir=$logging_dir `
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--save_precision="fp16"
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prompt_words.md
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# Prompt Words
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List of prompt words known to the model
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## Sorted by frequency
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```txt
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Count Name
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----- ----
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87 a
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85 symmetry
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17 leaves
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15 two
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13 tree
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13 moon
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13 circle
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13 with
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13 an
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12 cloud
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12 and
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11 landscape
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10 coin
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10 water
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10 bird
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9 antler
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9 holding
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9 on
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9 the
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7 mountain
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7 sun
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6 art
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6 in
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6 deer
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6 concept
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6 wings
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5 stick
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5 bug
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5 horn
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5 feather
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5 star
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4 rabbit
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4 three
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4 crescent
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4 cosmic
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4 wolf
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4 sitting
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3 salamander
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3 dog
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3 grass
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3 ball
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3 branch
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3 fish
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3 cat
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3 earth
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55 |
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3 pyramid
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3 yang
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3 fox
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3 globe
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3 yin
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3 lion
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3 planet
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3 wearing
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3 over
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3 monkey
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3 person
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3 spiral
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3 river
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3 sheep
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3 skull
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2 bamboo
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2 bear
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2 raccoon
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2 crown
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2 otter
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75 |
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2 bull
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76 |
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2 wall
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2 under
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2 flying
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2 lantern
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2 owl
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81 |
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2 standing
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2 elephant
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2 paved
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2 flag
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2 hanging
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86 |
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2 donkey
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2 waterfall
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88 |
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2 sunflower
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2 squid
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2 cup
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2 armor
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2 from
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2 meerkat
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2 city
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95 |
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1 triangle
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96 |
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1 sloth
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97 |
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1 snail
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98 |
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1 glass
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1 panda
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100 |
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1 tiger
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101 |
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1 fountain
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1 animal
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103 |
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1 algea
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104 |
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1 ray
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105 |
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1 lamb
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1 orange
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107 |
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1 perched
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108 |
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1 pumpkin
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109 |
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1 manta
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110 |
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1 axolotl
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111 |
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1 zapus
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112 |
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1 pentastar
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113 |
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1 phone
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114 |
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1 yak
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115 |
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1 brick
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116 |
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1 candle
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117 |
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1 devilwingsand
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118 |
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1 giraffe
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119 |
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1 zebra
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120 |
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1 four
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121 |
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1 bee
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122 |
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1 season
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123 |
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1 building
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124 |
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1 five
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125 |
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1 starfish
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126 |
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1 warthog
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127 |
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1 turtle
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128 |
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1 shaped
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129 |
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1 wool
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130 |
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1 unicorn
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131 |
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1 frog
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132 |
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1 land
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133 |
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1 tower
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134 |
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1 middle
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135 |
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1 cathedral
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136 |
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1 wasp
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137 |
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1 butterfly
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138 |
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1 head
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139 |
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1 watermellon
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140 |
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1 his
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141 |
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1 bag
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142 |
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1 leave
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143 |
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1 corn
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144 |
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1 crab
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145 |
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1 hermit
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146 |
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1 people
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147 |
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1 space
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148 |
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1 floating
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149 |
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1 dragon
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150 |
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1 caterpillan
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151 |
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1 key
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152 |
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1 bowl
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153 |
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1 fruit
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154 |
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1 burning
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155 |
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1 eagle
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156 |
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1 disco
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157 |
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1 scorpio
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158 |
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1 awk
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159 |
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1 monocle
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160 |
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1 duck
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161 |
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1 flower
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162 |
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1 crow
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163 |
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1 door
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164 |
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1 house
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165 |
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1 woman
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166 |
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1 hippo
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167 |
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1 up
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168 |
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1 fossa
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169 |
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1 prairie
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170 |
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1 gorilla
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171 |
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1 toucan
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172 |
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1 card
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173 |
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1 beaver
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174 |
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1 wood
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175 |
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1 crane
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176 |
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1 bridge
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177 |
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1 stump
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178 |
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1 alpaca
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179 |
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1 hybrid
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180 |
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1 badger
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181 |
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1 sky
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182 |
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1 comet
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183 |
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1 desert
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184 |
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1 deamon
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185 |
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1 bunny
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186 |
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1 bubble
|
187 |
+
1 circul
|
188 |
+
1 python
|
189 |
+
1 snow
|
190 |
+
1 books
|
191 |
+
1 quetzal
|
192 |
+
1 tattoo
|
193 |
+
1 red
|
194 |
+
1 whale
|
195 |
+
1 of
|
196 |
+
1 tiny
|
197 |
+
1 parrot
|
198 |
+
1 drinking
|
199 |
+
1 climbing
|
200 |
+
1 six
|
201 |
+
1 reflexion
|
202 |
+
1 skunk
|
203 |
+
1 mouse
|
204 |
+
1 beetle
|
205 |
+
1 seahorse
|
206 |
+
1 jellyfish
|
207 |
+
1 hat
|
208 |
+
1 mammoth
|
209 |
+
1 jackalope
|
210 |
+
1 hedgehog
|
211 |
+
1 smoking
|
212 |
+
1 table
|
213 |
+
1 at
|
214 |
+
1 tusk
|
215 |
+
1 windmill
|
216 |
+
1 floor
|
217 |
+
1 berret
|
218 |
+
1 lynx
|
219 |
+
1 koala
|
220 |
+
1 heron
|
221 |
+
1 peacock
|
222 |
+
1 leaf
|
223 |
+
```
|
224 |
+
|
225 |
+
## Sorted alphabetically
|
226 |
+
|
227 |
+
```txt
|
228 |
+
Count Name
|
229 |
+
----- ----
|
230 |
+
87 a
|
231 |
+
1 algea
|
232 |
+
1 alpaca
|
233 |
+
13 an
|
234 |
+
12 and
|
235 |
+
1 animal
|
236 |
+
9 antler
|
237 |
+
2 armor
|
238 |
+
6 art
|
239 |
+
1 at
|
240 |
+
1 awk
|
241 |
+
1 axolotl
|
242 |
+
1 badger
|
243 |
+
1 bag
|
244 |
+
3 ball
|
245 |
+
2 bamboo
|
246 |
+
2 bear
|
247 |
+
1 beaver
|
248 |
+
1 bee
|
249 |
+
1 beetle
|
250 |
+
1 berret
|
251 |
+
10 bird
|
252 |
+
1 books
|
253 |
+
1 bowl
|
254 |
+
3 branch
|
255 |
+
1 brick
|
256 |
+
1 bridge
|
257 |
+
1 bubble
|
258 |
+
5 bug
|
259 |
+
1 building
|
260 |
+
2 bull
|
261 |
+
1 bunny
|
262 |
+
1 burning
|
263 |
+
1 butterfly
|
264 |
+
1 candle
|
265 |
+
1 card
|
266 |
+
3 cat
|
267 |
+
1 caterpillan
|
268 |
+
1 cathedral
|
269 |
+
13 circle
|
270 |
+
1 circul
|
271 |
+
2 city
|
272 |
+
1 climbing
|
273 |
+
12 cloud
|
274 |
+
10 coin
|
275 |
+
1 comet
|
276 |
+
6 concept
|
277 |
+
1 corn
|
278 |
+
4 cosmic
|
279 |
+
1 crab
|
280 |
+
1 crane
|
281 |
+
4 crescent
|
282 |
+
1 crow
|
283 |
+
2 crown
|
284 |
+
2 cup
|
285 |
+
1 deamon
|
286 |
+
6 deer
|
287 |
+
1 desert
|
288 |
+
1 devilwingsand
|
289 |
+
1 disco
|
290 |
+
3 dog
|
291 |
+
2 donkey
|
292 |
+
1 door
|
293 |
+
1 dragon
|
294 |
+
1 drinking
|
295 |
+
1 duck
|
296 |
+
1 eagle
|
297 |
+
3 earth
|
298 |
+
2 elephant
|
299 |
+
5 feather
|
300 |
+
3 fish
|
301 |
+
1 five
|
302 |
+
2 flag
|
303 |
+
1 floating
|
304 |
+
1 floor
|
305 |
+
1 flower
|
306 |
+
2 flying
|
307 |
+
1 fossa
|
308 |
+
1 fountain
|
309 |
+
1 four
|
310 |
+
3 fox
|
311 |
+
1 frog
|
312 |
+
2 from
|
313 |
+
1 fruit
|
314 |
+
1 giraffe
|
315 |
+
1 glass
|
316 |
+
3 globe
|
317 |
+
1 gorilla
|
318 |
+
3 grass
|
319 |
+
2 hanging
|
320 |
+
1 hat
|
321 |
+
1 head
|
322 |
+
1 hedgehog
|
323 |
+
1 hermit
|
324 |
+
1 heron
|
325 |
+
1 hippo
|
326 |
+
1 his
|
327 |
+
9 holding
|
328 |
+
5 horn
|
329 |
+
1 house
|
330 |
+
1 hybrid
|
331 |
+
6 in
|
332 |
+
1 jackalope
|
333 |
+
1 jellyfish
|
334 |
+
1 key
|
335 |
+
1 koala
|
336 |
+
1 lamb
|
337 |
+
1 land
|
338 |
+
11 landscape
|
339 |
+
2 lantern
|
340 |
+
1 leaf
|
341 |
+
1 leave
|
342 |
+
17 leaves
|
343 |
+
3 lion
|
344 |
+
1 lynx
|
345 |
+
1 mammoth
|
346 |
+
1 manta
|
347 |
+
2 meerkat
|
348 |
+
1 middle
|
349 |
+
3 monkey
|
350 |
+
1 monocle
|
351 |
+
13 moon
|
352 |
+
7 mountain
|
353 |
+
1 mouse
|
354 |
+
1 of
|
355 |
+
9 on
|
356 |
+
1 orange
|
357 |
+
2 otter
|
358 |
+
3 over
|
359 |
+
2 owl
|
360 |
+
1 panda
|
361 |
+
1 parrot
|
362 |
+
2 paved
|
363 |
+
1 peacock
|
364 |
+
1 pentastar
|
365 |
+
1 people
|
366 |
+
1 perched
|
367 |
+
3 person
|
368 |
+
1 phone
|
369 |
+
3 planet
|
370 |
+
1 prairie
|
371 |
+
1 pumpkin
|
372 |
+
3 pyramid
|
373 |
+
1 python
|
374 |
+
1 quetzal
|
375 |
+
4 rabbit
|
376 |
+
2 raccoon
|
377 |
+
1 ray
|
378 |
+
1 red
|
379 |
+
1 reflexion
|
380 |
+
3 river
|
381 |
+
3 salamander
|
382 |
+
1 scorpio
|
383 |
+
1 seahorse
|
384 |
+
1 season
|
385 |
+
1 shaped
|
386 |
+
3 sheep
|
387 |
+
4 sitting
|
388 |
+
1 six
|
389 |
+
3 skull
|
390 |
+
1 skunk
|
391 |
+
1 sky
|
392 |
+
1 sloth
|
393 |
+
1 smoking
|
394 |
+
1 snail
|
395 |
+
1 snow
|
396 |
+
1 space
|
397 |
+
3 spiral
|
398 |
+
2 squid
|
399 |
+
2 standing
|
400 |
+
5 star
|
401 |
+
1 starfish
|
402 |
+
5 stick
|
403 |
+
1 stump
|
404 |
+
7 sun
|
405 |
+
2 sunflower
|
406 |
+
85 symmetry
|
407 |
+
1 table
|
408 |
+
1 tattoo
|
409 |
+
9 the
|
410 |
+
4 three
|
411 |
+
1 tiger
|
412 |
+
1 tiny
|
413 |
+
1 toucan
|
414 |
+
1 tower
|
415 |
+
13 tree
|
416 |
+
1 triangle
|
417 |
+
1 turtle
|
418 |
+
1 tusk
|
419 |
+
15 two
|
420 |
+
2 under
|
421 |
+
1 unicorn
|
422 |
+
1 up
|
423 |
+
2 wall
|
424 |
+
1 warthog
|
425 |
+
1 wasp
|
426 |
+
10 water
|
427 |
+
2 waterfall
|
428 |
+
1 watermellon
|
429 |
+
3 wearing
|
430 |
+
1 whale
|
431 |
+
1 windmill
|
432 |
+
6 wings
|
433 |
+
13 with
|
434 |
+
4 wolf
|
435 |
+
1 woman
|
436 |
+
1 wood
|
437 |
+
1 wool
|
438 |
+
1 yak
|
439 |
+
3 yang
|
440 |
+
3 yin
|
441 |
+
1 zapus
|
442 |
+
1 zebra
|
443 |
+
```
|
silvery_trait_v3.ckpt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4b0308cf699caf50120d43748134b9cfbf9ac0bc40fa8c29759a52e5ae25f253
|
3 |
+
size 2132856686
|