Cannot use flux model

[hartmark]

The model from this page: https://comfyanonymous.github.io/ComfyUI_examples/flux/?ref=blog.comfy.org#simple-to-use-fp8-checkpoint-version https://huggingface.co/Comfy-Org/flux1-dev/blob/main/flux1-dev-fp8.safetensors

Error occurred when executing Efficient Loader:

't5xxl'

File "/comfyui/execution.py", line 152, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "/comfyui/execution.py", line 82, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "/comfyui/execution.py", line 75, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) File "/comfyui/custom_nodes/efficiency-nodes-comfyui/efficiency_nodes.py", line 179, in efficientloader encode_prompts(positive, negative, token_normalization, weight_interpretation, clip, clip_skip, File "/comfyui/custom_nodes/efficiency-nodes-comfyui/efficiency_nodes.py", line 80, in encode_prompts positive_encoded = bnk_adv_encode.AdvancedCLIPTextEncode().encode(clip, positive_prompt, token_normalization, weight_interpretation)[0] File "/comfyui/custom_nodes/efficiency-nodes-comfyui/py/bnk_adv_encode.py", line 312, in encode embeddings_final, pooled = advanced_encode(clip, text, token_normalization, weight_interpretation, w_max=1.0, File "/comfyui/custom_nodes/efficiency-nodes-comfyui/py/bnk_adv_encode.py", line 262, in advanced_encode return advanced_encode_from_tokens(tokenized['l'], File "/comfyui/custom_nodes/efficiency-nodes-comfyui/py/bnk_adv_encode.py", line 183, in advanced_encode_from_tokens weighted_emb, pooled_base = encode_func(weighted_tokens) File "/comfyui/custom_nodes/efficiency-nodes-comfyui/py/bnk_adv_encode.py", line 265, in lambda x: (clip.encode_from_tokens({'l': x}), None), File "/comfyui/comfy/sd.py", line 116, in encode_from_tokens o = self.cond_stage_model.encode_token_weights(tokens) File "/comfyui/comfy/text_encoders/flux.py", line 55, in encode_token_weights token_weight_pairs_t5 = token_weight_pairs["t5xxl"]

This seems a bit related to #201 Is there any plan on supporting SD3 and/or flux models?

[hartmark]

This is the workflow in the example:

[jags111]

I have to review the code and add same !

[ultimatech-cn]

Meet the same error! Follow this update

[Visual-Synthesizer]

Following, super handy for XY LoRA testing.

[tsaulic]

Hi, any update on this? Would love to use your loaders with flux, regular workflow is such a pain :( Thanks for your hard work BTW.

[kenjibailly]

Same issue here, would love to use your epic nodes!