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  1. README.md +4 -4
README.md CHANGED
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  ---
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  license: creativeml-openrail-m
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- base_model: "stabilityai/stable-diffusion-xl-base-1.0"
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  tags:
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  - sdxl
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  - sdxl-diffusers
@@ -17,7 +17,7 @@ inference: true
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  # simpletuner-lora
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- This is a LyCORIS adapter derived from [stabilityai/stable-diffusion-xl-base-1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0).
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  The main validation prompt used during training was:
@@ -50,7 +50,7 @@ You may reuse the base model text encoder for inference.
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  ## Training settings
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  - Training epochs: 1
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- - Training steps: 150
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  - Learning rate: 0.0001
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  - Effective batch size: 16
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  - Micro-batch size: 16
@@ -130,7 +130,7 @@ import torch
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  from diffusers import DiffusionPipeline
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  from lycoris import create_lycoris_from_weights
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- model_id = 'stabilityai/stable-diffusion-xl-base-1.0'
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  adapter_id = 'pytorch_lora_weights.safetensors' # you will have to download this manually
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  lora_scale = 1.0
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  wrapper, _ = create_lycoris_from_weights(lora_scale, adapter_id, pipeline.transformer)
 
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  ---
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  license: creativeml-openrail-m
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+ base_model: "Lykon/dreamshaper-xl-v2-turbo"
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  tags:
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  - sdxl
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  - sdxl-diffusers
 
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  # simpletuner-lora
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+ This is a LyCORIS adapter derived from [Lykon/dreamshaper-xl-v2-turbo](https://huggingface.co/Lykon/dreamshaper-xl-v2-turbo).
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  The main validation prompt used during training was:
 
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  ## Training settings
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  - Training epochs: 1
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+ - Training steps: 100
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  - Learning rate: 0.0001
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  - Effective batch size: 16
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  - Micro-batch size: 16
 
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  from diffusers import DiffusionPipeline
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  from lycoris import create_lycoris_from_weights
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+ model_id = 'Lykon/dreamshaper-xl-v2-turbo'
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  adapter_id = 'pytorch_lora_weights.safetensors' # you will have to download this manually
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  lora_scale = 1.0
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  wrapper, _ = create_lycoris_from_weights(lora_scale, adapter_id, pipeline.transformer)