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__author__ = "receyuki"
__filename__ = "comfyui.py"
__copyright__ = "Copyright 2023"
__email__ = "receyuki@gmail.com"
import json
from ..format.base_format import BaseFormat
from ..utility import remove_quotes, merge_dict
class ComfyUI(BaseFormat):
# comfyui node types
KSAMPLER_TYPES = ["KSampler", "KSamplerAdvanced"]
VAE_ENCODE_TYPE = ["VAEEncode", "VAEEncodeForInpaint"]
CHECKPOINT_LOADER_TYPE = [
"CheckpointLoader",
"CheckpointLoaderSimple",
"unCLIPCheckpointLoader",
"Checkpoint Loader (Simple)",
]
CLIP_TEXT_ENCODE_TYPE = [
"CLIPTextEncode",
"CLIPTextEncodeSDXL",
"CLIPTextEncodeSDXLRefiner",
]
SAVE_IMAGE_TYPE = ["SaveImage", "Image Save", "SDPromptSaver"]
SETTING_KEY = [
"ckpt_name",
"sampler_name",
"",
"cfg",
"steps",
"",
]
def __init__(
self, info: dict = None, raw: str = "", width: int = None, height: int = None
):
super().__init__(info, raw, width, height)
self._comfy_png()
def _comfy_png(self):
prompt = self._info.get("prompt", {})
workflow = self._info.get("workflow", {})
prompt_json = json.loads(prompt)
# find end node of each flow
end_nodes = list(
filter(
lambda item: item[-1].get("class_type")
in ["SaveImage"] + ComfyUI.KSAMPLER_TYPES,
prompt_json.items(),
)
)
longest_flow = {}
longest_nodes = []
longest_flow_len = 0
# traverse each flow from the end
for end_node in end_nodes:
flow, nodes = self._comfy_traverse(prompt_json, str(end_node[0]))
if len(nodes) > longest_flow_len:
longest_flow = flow
longest_nodes = nodes
longest_flow_len = len(nodes)
if not self._is_sdxl:
self._raw = "\n".join(
[
self._positive.strip(),
self._negative.strip(),
]
).strip()
else:
sdxl_keys = ["Clip G", "Clip L", "Refiner"]
self._raw = "\n".join(
[
self._positive_sdxl.get(key).strip()
for key in sdxl_keys
if self._positive_sdxl.get(key)
]
+ [
self._negative_sdxl.get(key).strip()
for key in sdxl_keys
if self._negative_sdxl.get(key)
]
)
self._raw += "\n" + str(prompt)
if workflow:
self._raw += "\n" + str(workflow)
add_noise = (
f"Add noise: {remove_quotes(longest_flow.get('add_noise'))}"
if longest_flow.get("add_noise")
else ""
)
seed = (
f"Seed: {longest_flow.get('seed')}"
if longest_flow.get("seed")
else f"Noise seed: {longest_flow.get('noise_seed')}"
)
start_at_step = (
f"Start at step: {longest_flow.get('start_at_step')}"
if longest_flow.get("start_at_step")
else ""
)
end_at_step = (
f"End at step: {longest_flow.get('end_at_step')}"
if longest_flow.get("end_at_step")
else ""
)
return_with_left_over_noise = (
f"Return with left over noise: {longest_flow.get('return_with_left_over_noise')}"
if longest_flow.get("return_with_left_over_noise")
else ""
)
denoise = (
f"Denoise: {longest_flow.get('denoise')}"
if longest_flow.get("denoise")
else ""
)
upscale_method = (
f"Upscale method: {remove_quotes(longest_flow.get('upscale_method'))}"
if longest_flow.get("upscale_method")
else ""
)
upscaler = (
f"Upscaler: {remove_quotes(longest_flow.get('upscaler'))}"
if longest_flow.get("upscaler")
else ""
)
self._setting = ", ".join(
list(
filter(
lambda item: item != "",
[
f"Steps: {longest_flow.get('steps')}",
f"Sampler: {remove_quotes(longest_flow.get('sampler_name'))}",
f"CFG scale: {longest_flow.get('cfg')}",
add_noise,
seed,
f"Size: {self._width}x{self._height}",
f"Model: {remove_quotes(longest_flow.get('ckpt_name'))}",
f"Scheduler: {remove_quotes(longest_flow.get('scheduler'))}",
start_at_step,
end_at_step,
return_with_left_over_noise,
denoise,
upscale_method,
upscaler,
],
)
)
)
for p, s in zip(super().PARAMETER_KEY, ComfyUI.SETTING_KEY):
match p:
case k if k in ("model", "sampler"):
self._parameter[p] = str(remove_quotes(longest_flow.get(s)))
case "seed":
self._parameter[p] = (
str(longest_flow.get("seed"))
if longest_flow.get("seed")
else str(longest_flow.get("noise_seed"))
)
case "size":
self._parameter["size"] = str(self._width) + "x" + str(self._height)
case _:
self._parameter[p] = str(longest_flow.get(s))
if self._is_sdxl:
if not self._positive and self.positive_sdxl:
self._positive = self.merge_clip(self.positive_sdxl)
if not self._negative and self.negative_sdxl:
self._negative = self.merge_clip(self.negative_sdxl)
@staticmethod
def merge_clip(data: dict):
clip_g = data.get("Clip G").strip(" ,")
clip_l = data.get("Clip L").strip(" ,")
if clip_g == clip_l:
return clip_g
else:
return ",\n".join([clip_g, clip_l])
def _comfy_traverse(self, prompt, end_node):
flow = {}
node = [end_node]
inputs = {}
try:
inputs = prompt[end_node]["inputs"]
except:
print("node error")
return flow, node
match prompt[end_node]["class_type"]:
case node_type if node_type in ComfyUI.SAVE_IMAGE_TYPE:
try:
last_flow, last_node = self._comfy_traverse(
prompt, inputs["images"][0]
)
flow = merge_dict(flow, last_flow)
node += last_node
except:
print("comfyUI SaveImage error")
case node_type if node_type in ComfyUI.KSAMPLER_TYPES:
try:
seed = None
flow = inputs
last_flow1, last_node1, last_flow2, last_node2 = {}, [], {}, []
for key, value in inputs.items():
match key:
case "model":
traverse_result = self._comfy_traverse(prompt, value[0])
if isinstance(traverse_result, tuple):
last_flow1, last_node1 = traverse_result
elif isinstance(traverse_result, dict):
flow.update({key: traverse_result.get("ckpt_name")})
case "latent_image":
last_flow2, last_node2 = self._comfy_traverse(
prompt, value[0]
)
case "positive":
positive = self._comfy_traverse(prompt, value[0])
if isinstance(positive, str):
self._positive = positive
elif isinstance(positive, dict):
if positive_prompt := positive.get("positive"):
self._positive = positive_prompt
else:
self._positive_sdxl.update(positive)
case "negative":
negative = self._comfy_traverse(prompt, value[0])
if isinstance(negative, str):
self._negative = negative
elif isinstance(negative, dict):
if negative_prompt := negative.get("negative"):
self._negative = negative_prompt
else:
self._negative_sdxl.update(negative)
case key_name if key_name in ("seed", "noise_seed"):
# handle "CR Seed"
if isinstance(value, list):
traverse_result = self._comfy_traverse(
prompt, value[0]
)
if isinstance(traverse_result, dict):
seed = {key_name: traverse_result.get("seed")}
else:
seed = {key_name: traverse_result}
if seed:
flow.update(seed)
case _ as key_name:
if isinstance(value, list):
traverse_result = self._comfy_traverse(
prompt, value[0]
)
if isinstance(traverse_result, dict):
flow.update(
{key_name: traverse_result.get(key_name)}
)
flow = merge_dict(flow, last_flow1)
flow = merge_dict(flow, last_flow2)
node += last_node1 + last_node2
except:
print("comfyUI KSampler error")
case node_type if node_type in ComfyUI.CLIP_TEXT_ENCODE_TYPE:
try:
match node_type:
case "CLIPTextEncode":
# SDXLPromptStyler & SDPromptReader
if isinstance(inputs["text"], list):
text = int(inputs["text"][0])
traverse_result = self._comfy_traverse(
prompt, str(text)
)
if isinstance(traverse_result, tuple):
self._positive = traverse_result[0]
self._negative = traverse_result[1]
elif isinstance(traverse_result, dict):
return traverse_result
return
elif isinstance(inputs["text"], str):
return inputs.get("text")
case "CLIPTextEncodeSDXL":
# SDXLPromptStyler
self._is_sdxl = True
if isinstance(inputs["text_g"], list):
text_g = int(inputs["text_g"][0])
text_l = int(inputs["text_l"][0])
prompt_styler_g = self._comfy_traverse(
prompt, str(text_g)
)
prompt_styler_l = self._comfy_traverse(
prompt, str(text_l)
)
self._positive_sdxl["Clip G"] = prompt_styler_g[0]
self._positive_sdxl["Clip L"] = prompt_styler_l[0]
self._negative_sdxl["Clip G"] = prompt_styler_g[1]
self._negative_sdxl["Clip L"] = prompt_styler_l[1]
return
elif isinstance(inputs["text_g"], str):
return {
"Clip G": inputs.get("text_g"),
"Clip L": inputs.get("text_l"),
}
case "CLIPTextEncodeSDXLRefiner":
self._is_sdxl = True
if isinstance(inputs["text"], list):
# SDXLPromptStyler
text = int(inputs["text"][0])
prompt_styler = self._comfy_traverse(prompt, str(text))
self._positive_sdxl["Refiner"] = prompt_styler[0]
self._negative_sdxl["Refiner"] = prompt_styler[1]
return
elif isinstance(inputs["text"], str):
return {"Refiner": inputs.get("text")}
except:
print("comfyUI CLIPText error")
case "LoraLoader":
try:
flow = inputs
last_flow, last_node = self._comfy_traverse(
prompt, inputs["model"][0]
)
flow = merge_dict(flow, last_flow)
node += last_node
except:
print("comfyUI LoraLoader error")
case node_type if node_type in ComfyUI.CHECKPOINT_LOADER_TYPE:
try:
return inputs, node
except:
print("comfyUI CheckpointLoader error")
case node_type if node_type in ComfyUI.VAE_ENCODE_TYPE:
try:
last_flow, last_node = self._comfy_traverse(
prompt, inputs["pixels"][0]
)
flow = merge_dict(flow, last_flow)
node += last_node
except:
print("comfyUI VAE error")
case "ControlNetApplyAdvanced":
try:
positive = self._comfy_traverse(prompt, inputs["positive"][0])
if isinstance(positive, str):
self._positive = positive
elif isinstance(positive, dict):
self._positive_sdxl.update(positive)
negative = self._comfy_traverse(prompt, inputs["negative"][0])
if isinstance(negative, str):
self._negative = negative
elif isinstance(negative, dict):
self._negative_sdxl.update(negative)
last_flow, last_node = self._comfy_traverse(
prompt, inputs["image"][0]
)
flow = merge_dict(flow, last_flow)
node += last_node
except:
print("comfyUI ControlNetApply error")
case "ImageScale":
try:
flow = inputs
last_flow, last_node = self._comfy_traverse(
prompt, inputs["image"][0]
)
flow = merge_dict(flow, last_flow)
node += last_node
except:
print("comfyUI ImageScale error")
case "UpscaleModelLoader":
try:
return {"upscaler": inputs["model_name"]}
except:
print("comfyUI UpscaleLoader error")
case "ImageUpscaleWithModel":
try:
flow = inputs
last_flow, last_node = self._comfy_traverse(
prompt, inputs["image"][0]
)
model = self._comfy_traverse(prompt, inputs["upscale_model"][0])
flow = merge_dict(flow, last_flow)
flow = merge_dict(flow, model)
node += last_node
except:
print("comfyUI UpscaleModel error")
case "ConditioningCombine":
try:
last_flow1, last_node1 = self._comfy_traverse(
prompt, inputs["conditioning_1"][0]
)
last_flow2, last_node2 = self._comfy_traverse(
prompt, inputs["conditioning_2"][0]
)
flow = merge_dict(flow, last_flow1)
flow = merge_dict(flow, last_flow2)
node += last_node1 + last_node2
except:
print("comfyUI ConditioningCombine error")
# SD Prompt Reader Node
case "SDPromptReader":
try:
return json.loads(prompt[end_node]["is_changed"][0])
except:
print("comfyUI SDPromptReader error")
case "SDParameterGenerator":
try:
return inputs
except:
print("comfyUI SDParameterGenerator error")
# custom nodes
case "SDXLPromptStyler":
try:
return inputs.get("text_positive"), inputs.get("text_negative")
except:
print("comfyUI SDXLPromptStyler error")
case "CR Seed":
try:
return inputs.get("seed")
except:
print("comfyUI CR Seed error")
case _:
try:
last_flow = {}
last_node = []
if inputs.get("samples"):
last_flow, last_node = self._comfy_traverse(
prompt, inputs["samples"][0]
)
elif inputs.get("image") and isinstance(inputs.get("image"), list):
last_flow, last_node = self._comfy_traverse(
prompt, inputs["image"][0]
)
elif inputs.get("model"):
last_flow, last_node = self._comfy_traverse(
prompt, inputs["model"][0]
)
elif inputs.get("clip"):
last_flow, last_node = self._comfy_traverse(
prompt, inputs["clip"][0]
)
elif inputs.get("samples_from"):
last_flow, last_node = self._comfy_traverse(
prompt, inputs["samples_from"][0]
)
elif inputs.get("conditioning"):
result = self._comfy_traverse(prompt, inputs["conditioning"][0])
if isinstance(result, str):
return result
elif isinstance(result, list):
last_flow, last_node = result
flow = merge_dict(flow, last_flow)
node += last_node
except:
print("comfyUI bridging node error")
return flow, node
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