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fixed image saving

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This commit is contained in:
Chris Malone 2025-09-08 05:33:24 +10:00
parent cfa7c776c6
commit bc4c20a079
1 changed files with 39 additions and 8 deletions
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47
wgp.py
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@ -280,8 +280,15 @@ def edit_task_in_queue(
mode,
state,
):
inputs = get_function_arguments(edit_task_in_queue, locals())
new_inputs = get_function_arguments(edit_task_in_queue, locals())
new_inputs.pop('lset_name', None)
if 'loras_choices' in new_inputs:
all_loras = state.get("loras", [])
lora_indices = new_inputs.pop('loras_choices')
activated_lora_filenames = [Path(all_loras[int(index)]).name for index in lora_indices]
new_inputs['activated_loras'] = activated_lora_filenames
gen = get_gen_info(state)
queue = gen.get("queue", [])
editing_task_index = state.get("editing_task_index", None)
@ -296,12 +303,36 @@ def edit_task_in_queue(
return update_queue_data(queue), gr.Tabs(selected="video_gen")
task_to_edit = queue[task_to_edit_index]
inputs['state'] = state
task_to_edit['params'] = inputs.copy()
task_to_edit['prompt'] = inputs.get('prompt')
task_to_edit['length'] = inputs.get('video_length')
task_to_edit['steps'] = inputs.get('num_inference_steps')
update_task_thumbnails(task_to_edit, inputs)
original_params = task_to_edit['params'].copy()
media_keys = [
"image_start", "image_end", "image_refs", "video_source",
"video_guide", "image_guide", "video_mask", "image_mask",
"audio_guide", "audio_guide2", "audio_source"
]
multi_image_keys = ["image_refs"]
single_image_keys = ["image_start", "image_end"]
for key, new_value in new_inputs.items():
if key in media_keys:
if new_value is not None:
if key in multi_image_keys:
cleaned_value = clean_image_list(new_value)
original_params[key] = cleaned_value
elif key in single_image_keys:
cleaned_list = clean_image_list(new_value)
original_params[key] = cleaned_list[0] if cleaned_list else None
else:
original_params[key] = new_value
else:
original_params[key] = new_value
task_to_edit['params'] = original_params
task_to_edit['prompt'] = new_inputs.get('prompt')
task_to_edit['length'] = new_inputs.get('video_length')
task_to_edit['steps'] = new_inputs.get('num_inference_steps')
update_task_thumbnails(task_to_edit, original_params)
gr.Info(f"Task ID {task_to_edit['id']} has been updated successfully.")
state["editing_task_index"] = None
return update_queue_data(queue), gr.Tabs(selected="video_gen")