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