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| # this is in yaml format. You can use json if you prefer | |
| # I like both but yaml is easier to read and write | |
| # plus it has comments which is nice for documentation | |
| job: extract # tells the runner what to do | |
| config: | |
| # the name will be used to create a folder in the output folder | |
| # it will also replace any [name] token in the rest of this config | |
| name: name_of_your_model | |
| # can be hugging face model, a .ckpt, or a .safetensors | |
| base_model: "/path/to/base/model.safetensors" | |
| # can be hugging face model, a .ckpt, or a .safetensors | |
| extract_model: "/path/to/model/to/extract/trained.safetensors" | |
| # we will create folder here with name above so. This will create /path/to/output/folder/name_of_your_model | |
| output_folder: "/path/to/output/folder" | |
| is_v2: false | |
| dtype: fp16 # saved dtype | |
| device: cpu # cpu, cuda:0, etc | |
| # processes can be chained like this to run multiple in a row | |
| # they must all use same models above, but great for testing different | |
| # sizes and typed of extractions. It is much faster as we already have the models loaded | |
| process: | |
| # process 1 | |
| - type: locon # locon or lora (locon is lycoris) | |
| filename: "[name]_64_32.safetensors" # will be put in output folder | |
| dtype: fp16 | |
| mode: fixed | |
| linear: 64 | |
| conv: 32 | |
| # process 2 | |
| - type: locon | |
| output_path: "/absolute/path/for/this/output.safetensors" # can be absolute | |
| mode: ratio | |
| linear: 0.2 | |
| conv: 0.2 | |
| # process 3 | |
| - type: locon | |
| filename: "[name]_ratio_02.safetensors" | |
| mode: quantile | |
| linear: 0.5 | |
| conv: 0.5 | |
| # process 4 | |
| - type: lora # traditional lora extraction (lierla) with linear layers only | |
| filename: "[name]_4.safetensors" | |
| mode: fixed # fixed, ratio, quantile supported for lora as well | |
| linear: 4 # lora dim or rank | |
| # no conv for lora | |
| # process 5 | |
| - type: lora | |
| filename: "[name]_q05.safetensors" | |
| mode: quantile | |
| linear: 0.5 | |
| # you can put any information you want here, and it will be saved in the model | |
| # the below is an example. I recommend doing trigger words at a minimum | |
| # in the metadata. The software will include this plus some other information | |
| meta: | |
| name: "[name]" # [name] gets replaced with the name above | |
| description: A short description of your model | |
| 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. | |