Open xueqing0622 opened 6 months ago
And these are error prompts samplers: And I use in A1111 mode
1: 1gir,black hair,Night,Standing in the meadow,Blue stars,looking at viewers, (extremely detailed 8k illustration), (extremely detailed and beautiful background:1.2), ultra detailed painting, professional illustrasion, Ultra-precise depiction, Ultra-detailed depiction, (beautiful and aesthetic:1.2), vivid,intricate, nice hands, perfect hands,
2: highly detailed black sumi-e painting of . in-depth study of perfection, created by a master. best quality, high resolution
It seems like an embedding was used? Do you have any embeddings that have the same name as one of the words you used?
shiimizu, you are right! after I remove all the embedding , It works, How do avoid it happen but I have to keep my embeddings?
Make sure your embeddings are renamed to words you don't often use.
smZ CLIPTextEncode seem easy to get error when the prompt too long or get Other encoded characters or punctuation![image](https://github.com/shiimizu/ComfyUI_smZNodes/assets/114840118/6a420628-209d-4248-b22e-def4158f14d1)
tuple index out of range
File "F:\ComfyUI\ComfyUI\execution.py", line 154, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "F:\ComfyUI\ComfyUI\execution.py", line 84, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "F:\ComfyUI\ComfyUI\execution.py", line 77, in map_node_over_list results.append(getattr(obj, func)(slice_dict(input_data_all, i))) File "F:\ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\nodes.py", line 87, in encode result = run(params) File "F:\ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 693, in run cond, pooled = clip_clone.encode_from_tokens(tokens, True) File "F:\ComfyUI\ComfyUI\comfy\sd.py", line 131, in encode_from_tokens cond, pooled = self.cond_stage_model.encode_token_weights(tokens) File "F:\ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 416, 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 "F:\ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\modules\prompt_parser.py", line 270, in get_multicond_learned_conditioning learned_conditioning = get_learned_conditioning(model, prompt_flat_list, steps, hires_steps, use_old_scheduling) File "F:\ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\modules\prompt_parser.py", line 198, in get_learned_conditioning conds = model.forward(texts) File "F:\ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\modules\sd_hijack_clip.py", line 207, in forward z = self.process_tokens(tokens, multipliers) File "F:\ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\modules\sd_hijack_clip.py", line 237, in process_tokens z = self.encode_with_transformers(tokens) File "F:\ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 223, in encode_with_transformers return self.encode_with_transformerscomfy(tokens, return_pooled) File "F:\ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 124, in encode_with_transformerscomfy z, pooled = ClipTextEncoderCustom._forward(self.wrapped, tokens_orig) File "F:\ComfyUI\ComfyUI\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 113, in _forward z, pooled_output = self.forward(tokens) File "F:\ComfyUI\ComfyUI\comfy\sd1_clip.py", line 160, in forward tokens = self.set_up_textual_embeddings(tokens, backup_embeds) File "F:\ComfyUI\ComfyUI\comfy\sd1_clip.py", line 131, in set_up_textual_embeddings if y.shape[0] == current_embeds.weight.shape[1]: