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flux controlnet support

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This commit is contained in:
Vladimir Mandic
2024-09-02 11:54:18 -04:00
parent 045b24c060
commit e2d13a4dfb
8 changed files with 70 additions and 41 deletions
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modules/control/run.py
+13 -11
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@@ -234,7 +234,8 @@ def control_run(units: List[unit.Unit] = [], inputs: List[Image.Image] = [], ini
active_start.append(float(u.start))
active_end.append(float(u.end))
p.guess_mode = u.guess
shared.log.debug(f'Control ControlNet unit: i={num_units} process={u.process.processor_id} model={u.controlnet.model_id} strength={u.strength} guess={u.guess} start={u.start} end={u.end}')
p.control_mode = u.mode
shared.log.debug(f'Control ControlNet unit: i={num_units} process={u.process.processor_id} model={u.controlnet.model_id} strength={u.strength} guess={u.guess} start={u.start} end={u.end} mode={u.mode}')
elif unit_type == 'xs' and u.controlnet.model is not None:
active_process.append(u.process)
active_model.append(u.controlnet)
@@ -388,7 +389,7 @@ def control_run(units: List[unit.Unit] = [], inputs: List[Image.Image] = [], ini
video = cv2.VideoCapture(inputs)
if not video.isOpened():
if is_generator:
yield terminate(f'Control: video open failed: path={inputs}')
yield terminate(f'Video open failed: path={inputs}')
return [], '', '', 'Error: video open failed'
frames = int(video.get(cv2.CAP_PROP_FRAME_COUNT))
fps = int(video.get(cv2.CAP_PROP_FPS))
@@ -401,7 +402,7 @@ def control_run(units: List[unit.Unit] = [], inputs: List[Image.Image] = [], ini
shared.log.debug(f'Control: input video: path={inputs} frames={frames} fps={fps} size={w}x{h} codec={codec}')
except Exception as e:
if is_generator:
yield terminate(f'Control: video open failed: path={inputs} {e}')
yield terminate(f'Video open failed: path={inputs} {e}')
return [], '', '', 'Error: video open failed'
while status:
@@ -419,7 +420,7 @@ def control_run(units: List[unit.Unit] = [], inputs: List[Image.Image] = [], ini
if shared.state.interrupted:
shared.state.interrupted = False
if is_generator:
yield terminate('Control interrupted')
yield terminate('Interrupted')
return [], '', '', 'Interrupted'
# get input
if isinstance(input_image, str):
@@ -508,7 +509,7 @@ def control_run(units: List[unit.Unit] = [], inputs: List[Image.Image] = [], ini
pass
if any(img is None for img in processed_images):
if is_generator:
yield terminate('Control: attempting process but output is none')
yield terminate('Attempting process but output is none')
return [], '', '', 'Error: output is none'
if len(processed_images) > 1 and len(active_process) != len(active_model):
processed_image = [np.array(i) for i in processed_images]
@@ -527,7 +528,7 @@ def control_run(units: List[unit.Unit] = [], inputs: List[Image.Image] = [], ini
p.init_images = processed_images
elif isinstance(selected_models, list) and len(processed_images) != len(selected_models):
if is_generator:
yield terminate(f'Control: number of inputs does not match: input={len(processed_images)} models={len(selected_models)}')
yield terminate(f'Number of inputs does not match: input={len(processed_images)} models={len(selected_models)}')
return [], '', '', 'Error: number of inputs does not match'
elif selected_models is not None:
p.init_images = processed_image
@@ -542,14 +543,13 @@ def control_run(units: List[unit.Unit] = [], inputs: List[Image.Image] = [], ini
debug(f'Control: process=None image={p.ref_image}')
if p.ref_image is None:
if is_generator:
yield terminate('Control: attempting reference mode but image is none')
yield terminate('Attempting reference mode but image is none')
return [], '', '', 'Reference mode without image'
elif unit_type == 'controlnet' and has_models:
if input_type == 0: # Control only
if shared.sd_model_type == 'f1':
if is_generator:
yield terminate('Control: Flux control invalid input type')
return [], '', '', 'Flux control invalid input type'
p.task_args['control_image'] = p.init_images # TODO flux controlnet mandates this
p.task_args['strength'] = p.denoising_strength
elif input_type == 1: # Init image same as control
p.task_args['control_image'] = p.init_images # switch image and control_image
p.task_args['strength'] = p.denoising_strength
@@ -602,6 +602,8 @@ def control_run(units: List[unit.Unit] = [], inputs: List[Image.Image] = [], ini
if unit_type == 'lite':
p.init_image = [input_image]
instance.apply(selected_models, processed_image, control_conditioning)
if p.control_mode is not None:
p.task_args['control_mode'] = p.control_mode
if hasattr(p, 'init_images') and p.init_images is None: # delete empty
del p.init_images
@@ -609,7 +611,7 @@ def control_run(units: List[unit.Unit] = [], inputs: List[Image.Image] = [], ini
if has_models:
if unit_type in ['controlnet', 't2i adapter', 'lite', 'xs'] and p.task_args.get('image', None) is None and getattr(p, 'init_images', None) is None:
if is_generator:
yield terminate(f'Control: mode={p.extra_generation_params.get("Control mode", None)} input image is none')
yield terminate(f'Mode={p.extra_generation_params.get("Control mode", None)} input image is none')
return [], '', '', 'Error: Input image is none'
# resize mask