54 lines
1.7 KiB
Python
54 lines
1.7 KiB
Python
# ["1"]["inputs"]["unet_name"] =
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# ["1"]["inputs"]["weight_dtype"] =
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# ["2"]["inputs"]["clip_name"] =
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# ["24"]["inputs"]["vae_name"] =
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# ["3"]["inputs"]["image"] =
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# cn effective mask
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# ["4:345"]["inputs"]["boolean_value"] =
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# cn lora
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# ["6:376"]["inputs"]["boolean_value"] =
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# # positive
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# ["4:386"]["inputs"]["text"] =
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# # negative
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# ["4:341"]["inputs"]["text"] =
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# ["4:389"]["inputs"]["shift"] =
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# ["4:385"]["inputs"]["cfg"] =
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# ["4:347"]["inputs"]["sampler_name"] =
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# ["4:384"]["inputs"]["scheduler"] =
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# ["4:384"]["inputs"]["steps"] =
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# ["4:384"]["inputs"]["denoise"] =
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# ["4:382"]["inputs"]["noise_seed"] =
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# # detail daemon
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# ["4:353"]["inputs"]["boolean_value"] =
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# ["4:344"]["inputs"]["dishonesty_factor"] =
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# ["4:344"]["inputs"]["start_percent"] =
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# ["4:344"]["inputs"]["end_percent"] =
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# # batch size
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# ["4:349"]["inputs"]["amount"] =
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# # lora 1-4
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# ["13"]["inputs"]["lora_name_1"] =
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# ["13"]["inputs"]["model_weight_1"] =
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# ["13"]["inputs"]["lora_name_2"] =
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# ["13"]["inputs"]["model_weight_2"] =
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# ["13"]["inputs"]["lora_name_3"] =
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# ["13"]["inputs"]["model_weight_3"] =
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# ["13"]["inputs"]["lora_name_4"] =
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# ["13"]["inputs"]["model_weight_4"] =
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# # cn res
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# ["14"]["inputs"]["value"] =
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# # cn 0
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# ["15"]["inputs"]["control_net_name"] =
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# ["16"]["inputs"]["preprocessor"] =
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# ["23"]["inputs"]["controlnet_strength_0"] =
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# # cn 1
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# ["17"]["inputs"]["control_net_name"] =
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# ["18"]["inputs"]["preprocessor"] =
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# ["23"]["inputs"]["controlnet_strength_1"] =
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# # cn 2
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# ["19"]["inputs"]["control_net_name"] =
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# ["20"]["inputs"]["preprocessor"] =
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# ["23"]["inputs"]["controlnet_strength_2"] =
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# # cn 3
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# ["21"]["inputs"]["control_net_name"] =
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# ["22"]["inputs"]["preprocessor"] =
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# ["23"]["inputs"]["controlnet_strength_3"] = |