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49 lines
2.0 KiB
YAML
49 lines
2.0 KiB
YAML
---
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job: mod
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config:
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name: name_of_your_model_v1
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process:
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- type: rescale_lora
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# path to your current lora model
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input_path: "/path/to/lora/lora.safetensors"
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# output path for your new lora model, can be the same as input_path to replace
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output_path: "/path/to/lora/output_lora_v1.safetensors"
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# replaces meta with the meta below (plus minimum meta fields)
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# if false, we will leave the meta alone except for updating hashes (sd-script hashes)
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replace_meta: true
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# how to adjust, we can scale the up_down weights or the alpha
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# up_down is the default and probably the best, they will both net the same outputs
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# would only affect rare NaN cases and maybe merging with old merge tools
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scale_target: 'up_down'
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# precision to save, fp16 is the default and standard
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save_dtype: fp16
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# current_weight is the ideal weight you use as a multiplier when using the lora
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# IE in automatic1111 <lora:my_lora:6.0> the 6.0 is the current_weight
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# you can do negatives here too if you want to flip the lora
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current_weight: 6.0
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# target_weight is the ideal weight you use as a multiplier when using the lora
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# instead of the one above. IE in automatic1111 instead of using <lora:my_lora:6.0>
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# we want to use <lora:my_lora:1.0> so 1.0 is the target_weight
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target_weight: 1.0
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# base model for the lora
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# this is just used to add meta so automatic111 knows which model it is for
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# assume v1.5 if these are not set
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is_xl: false
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is_v2: false
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meta:
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# this is only used if you set replace_meta to true above
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name: "[name]" # [name] gets replaced with the name above
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description: A short description of your lora
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trigger_words:
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- put
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- trigger
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- words
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- here
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version: '0.1'
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creator:
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name: Your Name
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email: your@email.com
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website: https://yourwebsite.com
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any: All meta data above is arbitrary, it can be whatever you want.
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