Closed CannibalKush closed 2 weeks ago
Which folder did you put it in? If it needs T5 as external file it should go into diffusion_models
.
Firstly, thanks for adding Flux support. The instructions outlined in this guide work great!
However, when I try a specific popular flux checkpoint found on Civitai, I get the error
'NoneType' object has no attribute 'tokenize'
.In my client.log, it shows:
2024-09-15 00:17:06,624 ERROR Job Job[local=373959a4-4f30-4099-a27d-492d62524497, remote=9567c79b-0807-4a95-a6e1-db31eeef12ea] failed: 'NoneType' object has no attribute 'tokenize' [' File "H:\\Krita\\server\\ComfyUI\\execution.py", line 323, in execute\n output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)\n', ' File "H:\\Krita\\server\\ComfyUI\\execution.py", line 198, in get_output_data\n return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)\n', ' File "H:\\Krita\\server\\ComfyUI\\execution.py", line 169, in _map_node_over_list\n process_inputs(input_dict, i)\n', ' File "H:\\Krita\\server\\ComfyUI\\execution.py", line 158, in process_inputs\n results.append(getattr(obj, func)(**inputs))\n', ' File "H:\\Krita\\server\\ComfyUI\\nodes.py", line 64, in encode\n tokens = clip.tokenize(text)\n']
Seems we're having trouble finding the correct clip or something. The model uses
t5xxl_fp8_e4m3fn.safetensors
I believe, and the file is present in my clip folder as outlined in above guide.Am I missing something simple?
same to you, I tried using ae.safetensors or placing T5 in the diffusion_models folder, but still got the same error.
I meant whatever "checkpoint" you downloaded might have to go into diffusion_models. Can't really say without seeing the model.
T5 should always be in clip.
Is this issue related to https://github.com/comfyanonymous/ComfyUI/issues/4624#issuecomment-2311971542 ?
These smaller models ( ~ 11 GB ), don't have CLIP/text encoder weights. The larger ones ( ~ 22 GB ) also don't have CLIP/text encoder weights ( but they are in FP16 format, instead of FP8 ).
For them, you use the UNET loader.
https://comfyanonymous.github.io/ComfyUI_examples/flux/
Only the ones with 15 GB ~ 17 GB are checkpoint versions and include CLIP/text encoder weights ( they are all in FP8 ).
I have a similar problem with this particular model (the main download, i.e. 11.08Gb f16 version):
https://civitai.com/models/161068/stoiqo-newreality-flux-sd-xl-lightning
The model has the .safetensors
extension. If I put it under diffusion_models
, it doesn't appear in Krita. And, if I move it to the checkpoints
directory, it is listed but fails with the same error as shown above.
I have no problem with the 20.34Gb fp8 version, which seems to include the text encoder and clip. And I have t5xxl_fp8_e4m3fn.safetensors
and clip_l.safetensors
in my models/clip
folder.
Am I missing something?
It should work. Make sure you have latest versions. Verify it's listed in http://127.0.0.1:8188/api/etn/model_info/diffusion_models
It should work. Make sure you have latest versions. Verify it's listed in http://127.0.0.1:8188/api/etn/model_info/diffusion_models
I think I already have everything up-to-date. The endpoint in question shows a suspicious error, however:
{
"FLUX1/stoiqoNewrealityFLUXSD_f1DAlphaTwo.safetensors": {
"base_model": "unknown",
"error": "Failed to detect base model: argument of type 'NoneType' is not iterable"
}}
If there's anything I can help debug the issue please let me know.
Looks like that model uses some prefix that is usually used by checkpoints (Flux base model does not do this).
It should be detected if you update comfyui-tooling-nodes: https://github.com/Acly/comfyui-tooling-nodes/commit/20c8039a98e69b93ba7e58ac2e2cef846f2072c2
Looks like that model uses some prefix that is usually used by checkpoints (Flux base model does not do this).
It should be detected if you update comfyui-tooling-nodes: Acly/comfyui-tooling-nodes@20c8039
I just tested the patch and it fixed my problem, indeed. The model now works flawlessly on Krita.
Thanks much for the help!
Looks like that model uses some prefix that is usually used by checkpoints (Flux base model does not do this).
It should be detected if you update comfyui-tooling-nodes: Acly/comfyui-tooling-nodes@20c8039
Could you please tell me what I'm doing wrong? I updated comfyui-tooling-nodes, added fluxTextencoderT5XxlFp8_v10 to the diffusion_models folder, but it still says 'NoneType' object has no attribute 'tokenize'. I use the https://civitai.com/models/141592/pixelwave model
Looks like that model uses some prefix that is usually used by checkpoints (Flux base model does not do this). It should be detected if you update comfyui-tooling-nodes: Acly/comfyui-tooling-nodes@20c8039
Could you please tell me what I'm doing wrong? I updated comfyui-tooling-nodes, added fluxTextencoderT5XxlFp8_v10 to the diffusion_models folder, but it still says 'NoneType' object has no attribute 'tokenize'. I use the https://civitai.com/models/141592/pixelwave model
so I added the checkpoint to Diffusion_models and it works fine, thanks for your great work!
Firstly, thanks for adding Flux support. The instructions outlined in this guide work great!
However, when I try a specific popular flux checkpoint found on Civitai, I get the error
'NoneType' object has no attribute 'tokenize'
.In my client.log, it shows:
Seems we're having trouble finding the correct clip or something. The model uses
t5xxl_fp8_e4m3fn.safetensors
I believe, and the file is present in my clip folder as outlined in above guide.Am I missing something simple?