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Model card auto-generated by SimpleTuner

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  1. README.md +5 -4
README.md CHANGED
@@ -59,7 +59,7 @@ A photo-realistic image of a cat
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  ```
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  ## Validation settings
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- - CFG: `4.0`
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  - CFG Rescale: `0.0`
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  - Steps: `20`
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  - Sampler: `None`
@@ -79,8 +79,8 @@ You may reuse the base model text encoder for inference.
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  ## Training settings
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- - Training epochs: 14
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- - Training steps: 2700
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  - Learning rate: 2e-06
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  - Max grad norm: 0.01
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  - Effective batch size: 4
@@ -96,6 +96,7 @@ You may reuse the base model text encoder for inference.
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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": 1000000,
@@ -1223,7 +1224,7 @@ image = pipeline(
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  generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826),
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  width=1024,
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  height=1024,
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- guidance_scale=4.0,
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  ).images[0]
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  image.save("output.png", format="PNG")
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  ```
 
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  ```
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  ## Validation settings
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+ - CFG: `5.0`
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  - CFG Rescale: `0.0`
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  - Steps: `20`
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  - Sampler: `None`
 
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  ## Training settings
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+ - Training epochs: 0
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+ - Training steps: 100
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  - Learning rate: 2e-06
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  - Max grad norm: 0.01
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  - Effective batch size: 4
 
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  - LyCORIS Config:
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  ```json
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  {
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+ "bypass_mode": true,
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  "algo": "lokr",
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  "multiplier": 1.0,
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  "linear_dim": 1000000,
 
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  generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826),
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  width=1024,
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  height=1024,
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+ guidance_scale=5.0,
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  ).images[0]
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  image.save("output.png", format="PNG")
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  ```