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Model card auto-generated by SimpleTuner

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  1. README.md +6 -50
README.md CHANGED
@@ -12,52 +12,7 @@ tags:
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  - template:sd-lora
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  - lycoris
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  inference: true
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- widget:
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- - text: 'unconditional (blank prompt)'
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- parameters:
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- negative_prompt: 'blurry, cropped, ugly'
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- output:
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- url: ./assets/image_0_0.png
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- - text: 'a garfield waifu wearing an apron with a red sphere over her head that reads It is Time'
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- parameters:
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- negative_prompt: 'blurry, cropped, ugly'
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- output:
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- url: ./assets/image_1_0.png
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- - text: 'a void of fursuit furries hanging onto the edge of reality as they get sucked into a vortex'
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- parameters:
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- negative_prompt: 'blurry, cropped, ugly'
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- output:
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- url: ./assets/image_2_0.png
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- - text: 'furries congregate at walmart to teach about gelatin fountains to adult furries'
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- parameters:
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- negative_prompt: 'blurry, cropped, ugly'
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- output:
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- url: ./assets/image_3_0.png
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- - text: 'the furry church congregation looking up at a cinematic movie screen with text on it that reads MOOSE = PONY'
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- parameters:
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- negative_prompt: 'blurry, cropped, ugly'
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- output:
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- url: ./assets/image_4_0.png
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- - text: 'furry church congregation singing hymns while they look to a screen with lyrics on it that reads THE NEW FRONTIER OF PONY MODELS?'
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- parameters:
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- negative_prompt: 'blurry, cropped, ugly'
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- output:
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- url: ./assets/image_5_0.png
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- - text: 'a furry giving a TED talk with a screen in the background showing bullet points: - what furry means, and, - what furry does not mean'
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- parameters:
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- negative_prompt: 'blurry, cropped, ugly'
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- output:
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- url: ./assets/image_6_0.png
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- - text: 'a sugar bear named brownie plays basketball with lumps of poop'
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- parameters:
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- negative_prompt: 'blurry, cropped, ugly'
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- output:
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- url: ./assets/image_7_0.png
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- - text: 'A photo-realistic image of a cat'
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- parameters:
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- negative_prompt: 'blurry, cropped, ugly'
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- output:
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- url: ./assets/image_8_0.png
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  ---
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  # flux-sfwbooru-3.5M-lokr-attempt5b
@@ -83,7 +38,7 @@ A photo-realistic image of a cat
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  Note: The validation settings are not necessarily the same as the [training settings](#training-settings).
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- You can find some example images in the following gallery:
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  <Gallery />
@@ -95,7 +50,7 @@ You may reuse the base model text encoder for inference.
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  ## Training settings
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  - Training epochs: 0
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- - Training steps: 185000
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  - Learning rate: 2e-06
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  - Effective batch size: 3
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  - Micro-batch size: 1
@@ -105,12 +60,13 @@ You may reuse the base model text encoder for inference.
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  - Rescaled betas zero SNR: False
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  - Optimizer: optimi-lion
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  - Precision: Pure BF16
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- - Quantised: Yes: int8-quanto
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  - Xformers: Not used
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  - LyCORIS Config:
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  ```json
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  {
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  "algo": "lokr",
 
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  "multiplier": 1.0,
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  "linear_dim": 10000,
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  "linear_alpha": 1,
@@ -137,7 +93,7 @@ You may reuse the base model text encoder for inference.
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  ### sfwbooru
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  - Repeats: 0
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  - Total number of images: ~638952
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- - Total number of aspect buckets: 94
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  - Resolution: 1.048576 megapixels
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  - Cropped: False
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  - Crop style: None
 
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  - template:sd-lora
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  - lycoris
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  inference: true
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+
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # flux-sfwbooru-3.5M-lokr-attempt5b
 
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  Note: The validation settings are not necessarily the same as the [training settings](#training-settings).
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+
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  <Gallery />
 
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  ## Training settings
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  - Training epochs: 0
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+ - Training steps: 185500
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  - Learning rate: 2e-06
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  - Effective batch size: 3
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  - Micro-batch size: 1
 
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  - Rescaled betas zero SNR: False
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  - Optimizer: optimi-lion
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  - Precision: Pure BF16
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+ - Quantised: Yes: int8-torchao
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  - Xformers: Not used
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  - LyCORIS Config:
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  ```json
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  {
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  "algo": "lokr",
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+ "bypass_mode": true,
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  "multiplier": 1.0,
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  "linear_dim": 10000,
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  "linear_alpha": 1,
 
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  ### sfwbooru
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  - Repeats: 0
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  - Total number of images: ~638952
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+ - Total number of aspect buckets: 95
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  - Resolution: 1.048576 megapixels
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  - Cropped: False
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  - Crop style: None