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https://github.com/storytold/storyteller-ml.git
synced 2026-10-09 00:09:55 +00:00
--disable-lcm argument on main workflow; pass strength arg
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@@ -96,6 +96,7 @@ def parse_args():
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parser.add_argument('--face-detailer-enabled', help='face detailer enabled', required=False, default=False, action=argparse.BooleanOptionalAction)
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parser.add_argument('--upscaler-enabled', help='upscale enabled', required=False, default=False, action=argparse.BooleanOptionalAction)
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parser.add_argument('--lipsync-enabled', help='lipsync enabled', required=False, default=False, action=argparse.BooleanOptionalAction)
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parser.add_argument('--disable-lcm', help='disable lcm (only applies to main workflow)', required=False, default=False, action=argparse.BooleanOptionalAction)
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parser.add_argument('--strength', type=float, help='strength', required=False, default=1.0)
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return parser.parse_args()
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@@ -136,6 +137,8 @@ def main():
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negative_prompt = None
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workflow_filename = None
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enable_lipsync = args.lipsync_enabled
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disable_lcm = args.disable_lcm
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denoise_first_pass = args.strength
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if pipeline_type == PipelineType.IPA:
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workflow_filename = MAIN_IPA_WORKFLOW
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if positive_prompt_filename:
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@@ -146,7 +149,9 @@ def main():
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print("running pipeline" + str(pipeline_type))
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# ensure_pipeline_input_present()
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prompt = generate_prompt_for_style(style, positive_prompt, negative_prompt, workflow_filename,
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enable_lipsync=enable_lipsync)
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denoise_first_pass=denoise_first_pass,
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enable_lipsync=enable_lipsync,
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disable_lcm=disable_lcm)
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enqueue_prompt_and_wait(prompt)
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output_index = output_index + 1
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left = Path(COMFY_ROOT_DIRECTORY) / "output" / f"vid2vid/SparseUpscaleInterp_0000{output_index}.mp4"
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@@ -156,6 +161,7 @@ def main():
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convert_pipline_output_to_input(left)
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workflow_filename = UPSCALER_WORKFLOW
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prompt = generate_prompt_for_style(style, positive_prompt, negative_prompt, workflow_filename, PipelineType.UPSCALER,
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denoise_first_pass=denoise_first_pass,
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enable_lipsync=enable_lipsync)
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enqueue_prompt_and_wait(prompt)
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output_index = output_index + 1
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@@ -167,6 +173,7 @@ def main():
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convert_pipline_output_to_input(left)
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workflow_filename = FACE_DETAILER_WORKFLOW
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prompt = generate_prompt_for_style(style, positive_prompt, negative_prompt, workflow_filename, PipelineType.FACE_DETAILER,
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denoise_first_pass=denoise_first_pass,
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enable_lipsync=enable_lipsync)
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enqueue_prompt_and_wait(prompt)
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output_index = output_index + 1
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@@ -211,7 +218,9 @@ def enqueue_prompt_and_wait(prompt):
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def generate_prompt_for_style(style_name, positive_prompt, negative_prompt, workflow_filename=None, pipeline_type = PipelineType.BASE,
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enable_lipsync: bool = False) -> Path:
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denoise_first_pass=1.0,
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enable_lipsync: bool = False,
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disable_lcm: bool = False) -> Path:
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styles_directory = Path(V2V_WORKFLOWS_DIRECTORY) / "styles"
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workflow_directory = Path(V2V_WORKFLOWS_DIRECTORY) / "workflows"
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mappings_directory = Path(V2V_WORKFLOWS_DIRECTORY) / "mappings"
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@@ -230,7 +239,9 @@ def generate_prompt_for_style(style_name, positive_prompt, negative_prompt, work
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json_mods = style_json["modifications"]
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jsonpath_mods = get_jsonpath_mods(json_mods, mapping_json, pos_in=positive_prompt, neg_in=negative_prompt, pipeline_type=pipeline_type,
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enable_lipsync=enable_lipsync)
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denoise_first_pass=denoise_first_pass,
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enable_lipsync=enable_lipsync,
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disable_lcm=disable_lcm)
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print(*jsonpath_mods.items(), sep="\n")
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@@ -242,7 +253,8 @@ def generate_prompt_for_style(style_name, positive_prompt, negative_prompt, work
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def get_jsonpath_mods(style_mods: Dict[str, Any], mapping_json: Dict[str, Any], pos_in: Optional[str] = None,
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neg_in: Optional[str] = None, pipeline_type = PipelineType.BASE, denoise_first_pass=1.0,
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enable_lipsync: bool = False) -> Dict[str, Any]:
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enable_lipsync: bool = False,
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disable_lcm: bool = False) -> Dict[str, Any]:
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modifications = {}
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new_mod_json = style_mods.copy()
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# Process "loras" differently
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@@ -286,6 +298,10 @@ def get_jsonpath_mods(style_mods: Dict[str, Any], mapping_json: Dict[str, Any],
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print(f"No mapping found for key '{key}'")
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# TODO(bt,2024-05-29): Move this to the mappings so we don't have to maintain the jsonpath
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# This is only relevant for the main workflow (not face fixer or upscaler)
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if disable_lcm:
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modifications["$.536.inputs.boolean_number"] = 0
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return modifications
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