@@ -34,6 +34,7 @@ def execute(cls, width, height, length, batch_size=1) -> io.NodeOutput:
3434 latent = torch .zeros ([batch_size , 128 , ((length - 1 ) // 8 ) + 1 , height // 32 , width // 32 ], device = comfy .model_management .intermediate_device ())
3535 return io .NodeOutput ({"samples" : latent })
3636
37+ generate = execute # TODO: remove
3738
3839class LTXVImgToVideo (io .ComfyNode ):
3940 @classmethod
@@ -77,6 +78,8 @@ def execute(cls, positive, negative, image, vae, width, height, length, batch_si
7778
7879 return io .NodeOutput (positive , negative , {"samples" : latent , "noise_mask" : conditioning_latent_frames_mask })
7980
81+ generate = execute # TODO: remove
82+
8083
8184def conditioning_get_any_value (conditioning , key , default = None ):
8285 for t in conditioning :
@@ -264,6 +267,8 @@ def execute(cls, positive, negative, vae, latent, image, frame_idx, strength) ->
264267
265268 return io .NodeOutput (positive , negative , {"samples" : latent_image , "noise_mask" : noise_mask })
266269
270+ generate = execute # TODO: remove
271+
267272
268273class LTXVCropGuides (io .ComfyNode ):
269274 @classmethod
@@ -300,6 +305,8 @@ def execute(cls, positive, negative, latent) -> io.NodeOutput:
300305
301306 return io .NodeOutput (positive , negative , {"samples" : latent_image , "noise_mask" : noise_mask })
302307
308+ crop = execute # TODO: remove
309+
303310
304311class LTXVConditioning (io .ComfyNode ):
305312 @classmethod
@@ -498,6 +505,7 @@ def execute(cls, image, img_compression) -> io.NodeOutput:
498505 output_images .append (preprocess (image [i ], img_compression ))
499506 return io .NodeOutput (torch .stack (output_images ))
500507
508+ preprocess = execute # TODO: remove
501509
502510class LtxvExtension (ComfyExtension ):
503511 @override
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