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https://github.com/willmiao/ComfyUI-Lora-Manager.git
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refactor: enhance CFGGuider handling and add CFGGuiderExtractor for improved metadata extraction. Fixes https://github.com/willmiao/ComfyUI-Lora-Manager/issues/172
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@@ -187,19 +187,36 @@ class MetadataProcessor:
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sampler_params = metadata[SAMPLING][sampler_node_id].get("parameters", {})
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params["sampler"] = sampler_params.get("sampler_name")
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# 3. Trace guider input for FluxGuidance and CLIPTextEncode
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# 3. Trace guider input for CFGGuider, FluxGuidance and CLIPTextEncode
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guider_node_id = MetadataProcessor.trace_node_input(prompt, primary_sampler_id, "guider", max_depth=5)
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if guider_node_id:
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# Look for FluxGuidance along the guider path
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flux_node_id = MetadataProcessor.trace_node_input(prompt, guider_node_id, "conditioning", "FluxGuidance", max_depth=5)
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if flux_node_id and flux_node_id in metadata.get(SAMPLING, {}):
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flux_params = metadata[SAMPLING][flux_node_id].get("parameters", {})
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params["guidance"] = flux_params.get("guidance")
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# Find CLIPTextEncode for positive prompt (through conditioning)
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positive_node_id = MetadataProcessor.trace_node_input(prompt, guider_node_id, "conditioning", "CLIPTextEncode", max_depth=10)
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if positive_node_id and positive_node_id in metadata.get(PROMPTS, {}):
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params["prompt"] = metadata[PROMPTS][positive_node_id].get("text", "")
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if guider_node_id and guider_node_id in prompt.original_prompt:
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# Check if the guider node is a CFGGuider
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if prompt.original_prompt[guider_node_id].get("class_type") == "CFGGuider":
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# Extract cfg value from the CFGGuider
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if guider_node_id in metadata.get(SAMPLING, {}):
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cfg_params = metadata[SAMPLING][guider_node_id].get("parameters", {})
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params["cfg_scale"] = cfg_params.get("cfg")
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# Find CLIPTextEncode for positive prompt
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positive_node_id = MetadataProcessor.trace_node_input(prompt, guider_node_id, "positive", "CLIPTextEncode", max_depth=10)
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if positive_node_id and positive_node_id in metadata.get(PROMPTS, {}):
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params["prompt"] = metadata[PROMPTS][positive_node_id].get("text", "")
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# Find CLIPTextEncode for negative prompt
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negative_node_id = MetadataProcessor.trace_node_input(prompt, guider_node_id, "negative", "CLIPTextEncode", max_depth=10)
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if negative_node_id and negative_node_id in metadata.get(PROMPTS, {}):
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params["negative_prompt"] = metadata[PROMPTS][negative_node_id].get("text", "")
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else:
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# Look for FluxGuidance along the guider path
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flux_node_id = MetadataProcessor.trace_node_input(prompt, guider_node_id, "conditioning", "FluxGuidance", max_depth=5)
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if flux_node_id and flux_node_id in metadata.get(SAMPLING, {}):
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flux_params = metadata[SAMPLING][flux_node_id].get("parameters", {})
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params["guidance"] = flux_params.get("guidance")
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# Find CLIPTextEncode for positive prompt (through conditioning)
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positive_node_id = MetadataProcessor.trace_node_input(prompt, guider_node_id, "conditioning", "CLIPTextEncode", max_depth=10)
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if positive_node_id and positive_node_id in metadata.get(PROMPTS, {}):
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params["prompt"] = metadata[PROMPTS][positive_node_id].get("text", "")
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else:
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# Original tracing for standard samplers
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@@ -362,6 +362,23 @@ class CLIPTextEncodeFluxExtractor(NodeMetadataExtractor):
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metadata[SAMPLING][node_id]["parameters"]["guidance"] = guidance_value
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class CFGGuiderExtractor(NodeMetadataExtractor):
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@staticmethod
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def extract(node_id, inputs, outputs, metadata):
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if not inputs or "cfg" not in inputs:
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return
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cfg_value = inputs.get("cfg")
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# Store the cfg value in SAMPLING category
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if SAMPLING not in metadata:
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metadata[SAMPLING] = {}
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if node_id not in metadata[SAMPLING]:
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metadata[SAMPLING][node_id] = {"parameters": {}, "node_id": node_id}
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metadata[SAMPLING][node_id]["parameters"]["cfg"] = cfg_value
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# Registry of node-specific extractors
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NODE_EXTRACTORS = {
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# Sampling
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@@ -383,6 +400,7 @@ NODE_EXTRACTORS = {
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"EmptyLatentImage": ImageSizeExtractor,
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# Flux
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"FluxGuidance": FluxGuidanceExtractor, # Add FluxGuidance
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"CFGGuider": CFGGuiderExtractor, # Add CFGGuider
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# Image
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"VAEDecode": VAEDecodeExtractor, # Added VAEDecode extractor
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# Add other nodes as needed
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