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video tab major update

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Signed-off-by: Vladimir Mandic <mandic00@live.com>
This commit is contained in:
Vladimir Mandic
2025-03-21 14:53:52 -04:00
parent b2432db88e
commit 46bc0834b1
16 changed files with 163 additions and 516 deletions
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modules/processing_args.py
+8 -7
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@@ -26,7 +26,7 @@ def task_specific_kwargs(p, model):
p.init_images = [helpers.decode_base64_to_image(i, quiet=True) for i in p.init_images]
if isinstance(p.init_images[0], Image.Image):
p.init_images = [i.convert('RGB') if i.mode != 'RGB' else i for i in p.init_images if i is not None]
if (sd_models.get_diffusers_task(model) == sd_models.DiffusersTaskType.TEXT_2_IMAGE or len(getattr(p, 'init_images', [])) == 0) and not is_img2img_model:
if (sd_models.get_diffusers_task(model) == sd_models.DiffusersTaskType.TEXT_2_IMAGE or len(getattr(p, 'init_images', [])) == 0) and not is_img2img_model and 'video' not in p.ops:
p.ops.append('txt2img')
if hasattr(p, 'width') and hasattr(p, 'height'):
task_args = {
@@ -238,13 +238,13 @@ def set_pipeline_args(p, model, prompts:list, negative_prompts:list, prompts_2:t
if hasattr(model, 'scheduler') and hasattr(model.scheduler, 'noise_sampler_seed') and hasattr(model.scheduler, 'noise_sampler'):
model.scheduler.noise_sampler = None # noise needs to be reset instead of using cached values
model.scheduler.noise_sampler_seed = p.seeds # some schedulers have internal noise generator and do not use pipeline generator
if 'seed' in possible:
if 'seed' in possible and p.seed is not None:
args['seed'] = p.seed
if 'noise_sampler_seed' in possible:
if 'noise_sampler_seed' in possible and p.seeds is not None:
args['noise_sampler_seed'] = p.seeds
if 'guidance_scale' in possible:
if 'guidance_scale' in possible and p.cfg_scale is not None and p.cfg_scale > 0:
args['guidance_scale'] = p.cfg_scale
if 'img_guidance_scale' in possible and hasattr(p, 'image_cfg_scale'):
if 'img_guidance_scale' in possible and hasattr(p, 'image_cfg_scale') and p.image_cfg_scale is not None and p.image_cfg_scale > 0:
args['img_guidance_scale'] = p.image_cfg_scale
if 'generator' in possible:
generator = get_generator(p)
@@ -304,9 +304,10 @@ def set_pipeline_args(p, model, prompts:list, negative_prompts:list, prompts_2:t
# handle remaining args
for arg in kwargs:
if arg in possible: # add kwargs
if type(kwargs[arg]) == float or type(kwargs[arg]) == int:
if kwargs[arg] <= -1: # skip -1 as default value
continue
args[arg] = kwargs[arg]
else:
pass
task_kwargs = task_specific_kwargs(p, model)
for arg in task_kwargs: