File "E:\AI\Blender_ComfyUI\ComfyUI\execution.py", line 153, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "E:\AI\Blender_ComfyUI\ComfyUI\execution.py", line 83, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "E:\AI\Blender_ComfyUI\ComfyUI\execution.py", line 76, in map_node_over_list
results.append(getattr(obj, func)(slice_dict(input_data_all, i)))
File "E:\AI\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\nodes.py", line 85, in encode
result = run(params)
File "E:\AI\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 657, in run
cond, pooled = clip_clone.encode_from_tokens(tokens, True)
File "E:\AI\Blender_ComfyUI\ComfyUI\comfy\sd.py", line 120, in encode_from_tokens
cond, pooled = self.cond_stage_model.encode_token_weights(tokens)
File "E:\AI\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 439, in encode_token_weights
if multi: schedules = prompt_parser.get_multicond_learned_conditioning(model_hijack.cond_stage_model, texts, steps, None, opts.use_old_scheduling)
File "E:\AI\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\modules\prompt_parser.py", line 281, in get_multicond_learned_conditioning
learned_conditioning = get_learned_conditioning(model, prompt_flat_list, steps, hires_steps, use_old_scheduling)
File "E:\AI\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\modules\prompt_parser.py", line 202, in get_learned_conditioning
conds = model.forward(texts)
File "E:\AI\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\modules\sd_hijack_clip.py", line 206, in forward
z = self.process_tokens(tokens, multipliers)
File "E:\AI\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\modules\sd_hijack_clip.py", line 235, in process_tokens
z = self.encode_with_transformers(tokens)
File "E:\AI\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 250, in encode_with_transformers
return self.encode_with_transformerscomfy(tokens, return_pooled)
File "E:\AI\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 151, in encode_with_transformerscomfy
z, pooled = ClipTextEncoderCustom._forward(self.wrapped, tokens_orig)
File "E:\AI\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 94, in _forward
tokens = self.set_up_textual_embeddings(tokens, backup_embeds)
File "E:\AI\Blender_ComfyUI\ComfyUI\comfy\sd1_clip.py", line 113, in set_up_textual_embeddings
if y.shape[0] == current_embeds.weight.shape[1]:
Error occurred when executing smZ CLIPTextEncode:
tuple index out of range
File "E:\AI\Blender_ComfyUI\ComfyUI\execution.py", line 153, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "E:\AI\Blender_ComfyUI\ComfyUI\execution.py", line 83, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "E:\AI\Blender_ComfyUI\ComfyUI\execution.py", line 76, in map_node_over_list results.append(getattr(obj, func)(slice_dict(input_data_all, i))) File "E:\AI\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\nodes.py", line 85, in encode result = run(params) File "E:\AI\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 657, in run cond, pooled = clip_clone.encode_from_tokens(tokens, True) File "E:\AI\Blender_ComfyUI\ComfyUI\comfy\sd.py", line 120, in encode_from_tokens cond, pooled = self.cond_stage_model.encode_token_weights(tokens) File "E:\AI\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 439, in encode_token_weights if multi: schedules = prompt_parser.get_multicond_learned_conditioning(model_hijack.cond_stage_model, texts, steps, None, opts.use_old_scheduling) File "E:\AI\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\modules\prompt_parser.py", line 281, in get_multicond_learned_conditioning learned_conditioning = get_learned_conditioning(model, prompt_flat_list, steps, hires_steps, use_old_scheduling) File "E:\AI\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\modules\prompt_parser.py", line 202, in get_learned_conditioning conds = model.forward(texts) File "E:\AI\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\modules\sd_hijack_clip.py", line 206, in forward z = self.process_tokens(tokens, multipliers) File "E:\AI\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\modules\sd_hijack_clip.py", line 235, in process_tokens z = self.encode_with_transformers(tokens) File "E:\AI\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 250, in encode_with_transformers return self.encode_with_transformerscomfy(tokens, return_pooled) File "E:\AI\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 151, in encode_with_transformerscomfy z, pooled = ClipTextEncoderCustom._forward(self.wrapped, tokens_orig) File "E:\AI\Blender_ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 94, in _forward tokens = self.set_up_textual_embeddings(tokens, backup_embeds) File "E:\AI\Blender_ComfyUI\ComfyUI\comfy\sd1_clip.py", line 113, in set_up_textual_embeddings if y.shape[0] == current_embeds.weight.shape[1]: