Files
2025-02-27 15:13:40 +01:00

182 lines
6.8 KiB
Python

# https://github.com/yolain/ComfyUI-Easy-Use
from ..meta import MetaField
from ..formatters import calc_model_hash, calc_lora_hash, convert_skip_clip
import re
def get_lora_model_name_stack(node_id, obj, prompt, extra_data, outputs, input_data):
toggled_on = input_data[0]["toggle"][0]
if toggled_on:
return get_lora_data_stack(input_data, "lora_\d_name")
else:
return []
def get_lora_model_hash_stack(node_id, obj, prompt, extra_data, outputs, input_data):
return [
calc_lora_hash(model_name, input_data)
for model_name in get_lora_data_stack(input_data, "lora_\d_name")
]
def get_lora_strength_model_stack(node_id, obj, prompt, extra_data, outputs, input_data):
if input_data[0]["mode"][0] == "advanced":
return get_lora_data_stack(input_data, "lora_\d_model_strength")
return get_lora_data_stack(input_data, "lora_\d_strength")
def get_lora_strength_clip_stack(node_id, obj, prompt, extra_data, outputs, input_data):
if input_data[0]["mode"][0] == "advanced":
return get_lora_data_stack(input_data, "lora_\d_clip_strength")
return get_lora_data_stack(input_data, "lora_\d_strength")
def get_lora_data_stack(input_data, attribute):
lora_count = input_data[0]["num_loras"][0]
return [
v[0]
for k, v in input_data[0].items()
if re.search(attribute, k) != None and v[0] != "None"
][:lora_count]
def get_lora_model_hash(node_id, obj, prompt, extra_data, outputs, input_data):
if input_data[0]["lora_name"][0] != "None":
return calc_lora_hash(input_data[0]["lora_name"][0], input_data)
else:
return ""
SAMPLERS = {
"easy fullkSampler": {
"positive": "positive",
"negative": "negative",
},
"easy preSampling": {
},
"easy preSamplingAdvanced": {
},
"easy preSamplingCascade": {
},
"easy preSamplingCustom": {
},
"easy preSamplingDynamicCFG": {
},
"easy preSamplingLayerDiffusion": {
},
"easy preSamplingNoiseIn": {
},
"easy preSamplingSdTurbo": {
}
}
CAPTURE_FIELD_LIST = {
"easy fullLoader": {
MetaField.MODEL_NAME: {"field_name": "ckpt_name"},
MetaField.MODEL_HASH: {"field_name": "ckpt_name", "format": calc_model_hash},
MetaField.CLIP_SKIP: {"field_name": "clip_skip", "format": convert_skip_clip},
MetaField.POSITIVE_PROMPT: {"field_name": "positive"},
MetaField.NEGATIVE_PROMPT: {"field_name": "negative"},
MetaField.IMAGE_WIDTH: {"field_name": "empty_latent_width"},
MetaField.IMAGE_HEIGHT: {"field_name": "empty_latent_height"},
MetaField.LORA_MODEL_NAME: {"field_name": "lora_name"},
MetaField.LORA_MODEL_HASH: {"selector": get_lora_model_hash},
MetaField.LORA_STRENGTH_MODEL: {"field_name": "lora_model_strength"},
MetaField.LORA_STRENGTH_CLIP: {"field_name": "lora_clip_strength"},
},
"easy comfyLoader": {
MetaField.MODEL_NAME: {"field_name": "ckpt_name"},
MetaField.MODEL_HASH: {"field_name": "ckpt_name", "format": calc_model_hash},
MetaField.CLIP_SKIP: {"field_name": "clip_skip", "format": convert_skip_clip},
MetaField.POSITIVE_PROMPT: {"field_name": "positive"},
MetaField.NEGATIVE_PROMPT: {"field_name": "negative"},
MetaField.IMAGE_WIDTH: {"field_name": "empty_latent_width"},
MetaField.IMAGE_HEIGHT: {"field_name": "empty_latent_height"},
MetaField.LORA_MODEL_NAME: {"field_name": "lora_name"},
MetaField.LORA_MODEL_HASH: {"selector": get_lora_model_hash},
MetaField.LORA_STRENGTH_MODEL: {"field_name": "lora_model_strength"},
MetaField.LORA_STRENGTH_CLIP: {"field_name": "lora_clip_strength"},
},
"easy fullkSampler": {
MetaField.SEED: {"field_name": "seed"},
MetaField.STEPS: {"field_name": "steps"},
MetaField.CFG: {"field_name": "cfg"},
MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
MetaField.SCHEDULER: {"field_name": "scheduler"},
},
"easy preSampling": {
MetaField.SEED: {"field_name": "seed"},
MetaField.STEPS: {"field_name": "steps"},
MetaField.CFG: {"field_name": "cfg"},
MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
MetaField.SCHEDULER: {"field_name": "scheduler"},
},
"easy preSamplingAdvanced": {
MetaField.SEED: {"field_name": "seed"},
MetaField.STEPS: {"field_name": "steps"},
MetaField.CFG: {"field_name": "cfg"},
MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
MetaField.SCHEDULER: {"field_name": "scheduler"},
},
"easy preSamplingCascade": {
MetaField.SEED: {"field_name": "seed"},
MetaField.STEPS: {"field_name": "steps"},
MetaField.CFG: {"field_name": "cfg"},
MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
MetaField.SCHEDULER: {"field_name": "scheduler"},
},
"easy preSamplingCustom": {
MetaField.SEED: {"field_name": "seed"},
MetaField.STEPS: {"field_name": "steps"},
MetaField.CFG: {"field_name": "cfg"},
MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
MetaField.SCHEDULER: {"field_name": "scheduler"},
},
"easy preSamplingDynamicCFG": {
MetaField.SEED: {"field_name": "seed"},
MetaField.STEPS: {"field_name": "steps"},
MetaField.CFG: {"field_name": "cfg"},
MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
MetaField.SCHEDULER: {"field_name": "scheduler"},
},
"easy preSamplingLayerDiffusion": {
MetaField.SEED: {"field_name": "seed"},
MetaField.STEPS: {"field_name": "steps"},
MetaField.CFG: {"field_name": "cfg"},
MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
MetaField.SCHEDULER: {"field_name": "scheduler"},
},
"easy preSamplingNoiseIn": {
MetaField.SEED: {"field_name": "seed"},
MetaField.STEPS: {"field_name": "steps"},
MetaField.CFG: {"field_name": "cfg"},
MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
MetaField.SCHEDULER: {"field_name": "scheduler"},
},
"easy preSamplingSdTurbo": {
MetaField.SEED: {"field_name": "seed"},
MetaField.STEPS: {"field_name": "steps"},
MetaField.CFG: {"field_name": "cfg"},
MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
MetaField.SCHEDULER: {"field_name": "scheduler"},
},
"easy loraStack": {
MetaField.LORA_MODEL_NAME: {"selector": get_lora_model_name_stack},
MetaField.LORA_MODEL_HASH: {"selector": get_lora_model_hash_stack},
MetaField.LORA_STRENGTH_MODEL: {"selector": get_lora_strength_model_stack},
MetaField.LORA_STRENGTH_CLIP: {"selector": get_lora_strength_clip_stack},
},
}