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minimax-h3 i2i

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Signed-off-by: Vladimir Mandic <mandic00@live.com>
This commit is contained in:
Vladimir Mandic
2026-08-13 11:23:36 +02:00
parent 10c2343d9a
commit 0ddd0f7091
6 changed files with 36 additions and 17 deletions
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modules/processing_args.py
+16 -6
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@@ -19,8 +19,8 @@ debug_log = log.trace if debug_enabled else lambda *args, **kwargs: None
disable_pbar = os.environ.get('SD_DISABLE_PBAR', None) is not None
def task_modular_kwargs(p, model): # pylint: disable=unused-argument
# model_cls = model.__class__.__name__
def task_modular_kwargs(p, model):
model_cls = model.__class__.__name__
task_args = {}
p.ops.append('modular')
@@ -34,6 +34,15 @@ def task_modular_kwargs(p, model): # pylint: disable=unused-argument
if mask_image is not None:
task_args['mask_image'] = mask_image
if model_cls in ['MiniMaxH3ModularPipeline'] and task_args.get('image', None) is not None:
if len(task_args.get('image', [])) > 2:
task_args['normalized_references'] = task_args['image']
task_args.pop('image', None) # remove image, only use normalized_references
elif len(task_args.get('image', [])) > 1:
task_args['last_image'] = task_args['image'][1]
if len(task_args.get('image', [])) > 0:
task_args['image'] = task_args['image'][0]
if debug_enabled:
debug_log(f'Process task specific args: {task_args}')
return task_args
@@ -170,13 +179,15 @@ def task_specific_kwargs(p, model):
def get_params(model):
possible = []
if hasattr(model, 'blocks') and hasattr(model.blocks, 'inputs'): # modular pipeline
possible = [input_param.name for input_param in model.blocks.inputs]
return possible + ['output'] # __call__ param selecting which state values to return, not a block input
possible += ['output'] # __call__ param selecting which state values to return, not a block input
else:
signature = inspect.signature(type(model).__call__, follow_wrapped=True)
possible = list(signature.parameters)
return possible
possible = [p for p in possible if p not in ['self', 'kwargs', None]]
return possible
def get_defaults(model, kwargs):
@@ -241,8 +252,7 @@ def set_pipeline_args(p, model, prompts:list, negative_prompts:list, prompts_2:l
possible = get_params(model)
if debug_enabled:
debug_log(f'Process pipeline possible: {possible}')
log.debug(f'Pipeline: cls={cls} possible={possible}')
steps = kwargs.get("num_inference_steps", None) or len(getattr(p, 'timesteps', ['1']))
clip_skip = kwargs.pop("clip_skip", 1)