Model card auto-generated by SimpleTuner
Browse files
README.md
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- lora
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- template:sd-lora
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inference: true
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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 design of a cute pokemon, on a white background'
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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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---
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# sd3-lora-training-v1
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```
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A design of a cute pokemon
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```
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## Validation settings
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Note: The validation settings are not necessarily the same as the [training settings](#training-settings).
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<Gallery />
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pipeline = DiffusionPipeline.from_pretrained(model_id)
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pipeline.load_lora_weights(adapter_id)
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prompt = "A design of a cute pokemon
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negative_prompt = 'blurry, cropped, ugly'
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pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu')
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image = pipeline(
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- lora
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- template:sd-lora
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inference: true
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---
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# sd3-lora-training-v1
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```
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A design of a cute pokemon
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```
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## Validation settings
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Note: The validation settings are not necessarily the same as the [training settings](#training-settings).
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<Gallery />
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pipeline = DiffusionPipeline.from_pretrained(model_id)
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pipeline.load_lora_weights(adapter_id)
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prompt = "A design of a cute pokemon"
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negative_prompt = 'blurry, cropped, ugly'
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pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu')
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image = pipeline(
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