[Bug]: Newest update makes Lora not work when using a refiner model. (lora key not loaded lora_unet_down_blocks_2_attentions_0_transformer_blocks)

[Vigilence]

Checklist

• [X] The issue exists after disabling all extensions
• [X] The issue exists on a clean installation of webui
• [ ] The issue is caused by an extension, but I believe it is caused by a bug in the webui
• [X] The issue exists in the current version of the webui
• [X] The issue has not been reported before recently
• [ ] The issue has been reported before but has not been fixed yet

What happened?

Lora models are no longer working properly with a refiner model on the newest update. Yesterday it was working fine with loras and the refiner option. I even used the same prompt and settings as I am currently experimenting with workflows.

Now I get a message that "Lora key not loaded". The final image does not have the lora applied.

The error does not appear until the refiner model is loaded and applied to the process. The issue exists in img2img and txt2img.

The models being used are:

• Base stable diffusion xl 1.0
• Base stable diffusion xl refiner 1.0
• Base stable diffusion xl 1.0 vae
• Extremely Detailed Sliders XL

Steps to reproduce the problem

1. Create prompt and use lora model in prompt
2. Select refiner model option and enable
3. Receive error in cmd window

What should have happened?

The lora should also load when a refiner model is used.

What browsers do you use to access the UI ?

Brave

Sysinfo

sysinfo-2024-02-11-10-48.json

Console logs

venv "I:\Forge\venv\Scripts\Python.exe"
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug  1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: f0.0.12-latest-113-ge11753ff
Commit hash: e11753ff844b6e06529287f65b2f9efd1fd76cc6
Launching Web UI with arguments:
Total VRAM 24564 MB, total RAM 31960 MB
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 4090 : native
VAE dtype: torch.bfloat16
Using pytorch cross attention
ControlNet preprocessor location: I:\Forge\models\ControlNetPreprocessor
Loading weights [31e35c80fc] from I:\Forge\models\Stable-diffusion\SDXL\Multi Style\Stable Diffusion XL (Base) 1.0 - SDXL - StabilityAI.safetensors
2024-02-11 06:19:04,029 - ControlNet - INFO - ControlNet UI callback registered.
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
model_type EPS
UNet ADM Dimension 2816
Startup time: 10.7s (prepare environment: 3.3s, import torch: 3.0s, import gradio: 0.7s, setup paths: 0.6s, initialize shared: 0.1s, other imports: 0.5s, list SD models: 0.1s, load scripts: 1.5s, create ui: 0.5s, gradio launch: 0.3s).
Using pytorch attention in VAE
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
Using pytorch attention in VAE
extra {'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids', 'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_l.logit_scale'}
loaded straight to GPU
To load target model SDXL
Begin to load 1 model
To load target model SDXLClipModel
Begin to load 1 model
Moving model(s) has taken 0.34 seconds
Model loaded in 6.5s (load weights from disk: 0.5s, forge load real models: 5.5s, calculate empty prompt: 0.5s).
Token merging is under construction now and the setting will not take effect.
                                  To load target model SDXLClipModel
Begin to load 1 model00:00, ?it/s]
unload clone 0
Moving model(s) has taken 0.86 seconds
To load target model SDXL
Begin to load 1 model
unload clone 1
Moving model(s) has taken 2.53 seconds
100%|██████████████████████████████████████████████████████████████████████████████████| 60/60 [00:07<00:00,  7.58it/s]
To load target model AutoencoderKL████████▋                                           | 60/180 [00:11<00:15,  7.86it/s]
Begin to load 1 model
Moving model(s) has taken 0.17 seconds
Upscale script freed memory successfully.
tiled upscale: 100%|███████████████████████████████████████████████████████████████████| 35/35 [00:01<00:00, 17.53it/s]
Token merging is under construction now and the setting will not take effect.
 80%|████████████████████████████████████████████████████████████████▊                | 96/120 [00:55<00:13,  1.72it/s]Loading weights [7440042bbd] from I:\Forge\models\Stable-diffusion\SDXL\Refiner\Stable Diffusion XL (Refiner) 1.0 - SDXL - StabilityAI.safetensors
model_type EPS
UNet ADM Dimension 2560
Using pytorch attention in VAE
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
Using pytorch attention in VAE
extra {'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids'}
loaded straight to GPU
To load target model SDXLRefiner
Begin to load 1 model
To load target model SDXLRefinerClipModel
Begin to load 1 model
Moving model(s) has taken 0.28 seconds
Model loaded in 9.4s (unload existing model: 2.1s, load weights from disk: 0.2s, forge load real models: 6.8s, calculate empty prompt: 0.3s).
lora key not loaded lora_unet_down_blocks_2_attentions_0_transformer_blocks_4_attn1_to_k.alpha
lora key not loaded lora_unet_down_blocks_2_attentions_0_transformer_blocks_4_attn1_to_k.lora_down.weight
lora key not loaded lora_unet_down_blocks_2_attentions_0_transformer_blocks_4_attn1_to_k.lora_up.weight
lora key not loaded lora_unet_down_blocks_2_attentions_0_transformer_blocks_4_attn1_to_out_0.alpha
lora key not loaded lora_unet_down_blocks_2_attentions_0_transformer_blocks_4_attn1_to_out_0.lora_down.weight
lora key not loaded lora_unet_down_blocks_2_attentions_0_transformer_blocks_4_attn1_to_out_0.lora_up.weight
lora key not loaded lora_unet_down_blocks_2_attentions_0_transformer_blocks_4_attn1_to_q.alpha
lora key not loaded lora_unet_down_blocks_2_attentions_0_transformer_blocks_4_attn1_to_q.lora_down.weight
lora key not loaded lora_unet_down_blocks_2_attentions_0_transformer_blocks_4_attn1_to_q.lora_up.weight
lora key not loaded lora_unet_down_blocks_2_attentions_0_transformer_blocks_4_attn1_to_v.alpha
lora key not loaded lora_unet_down_blocks_2_attentions_0_transformer_blocks_4_attn1_to_v.lora_down.weight

https://pastebin.com/ju8H0T1n

Additional information

• 4090
• latest drivers
• windows 11
• latest update

[Vigilence]

Downloading an earlier commit that was done this past Friday resolved the issue for me. Hopefully this eventually gets fixed.

[Vigilence]

Checked newest update and issue persists.

[Vigilence]

If anyone else has an issue with Loras and refiner models not working, you can use git checkout d2af6d1b4427928013b5594efb9e0f08ad3bfd16 to go back to when they were working together fine.

@lllyasviel

[BronxBob]

how would I use "git checkout d2af6d1b4427928013b5594efb9e0f08ad3bfd16"? Tried from a cmd prompt to open git.. maybe git that cd to where I have forge (a seperate drive) try it there. Let you know if I figure it out.

[Vigilence]

@BronxBob It would be from inside the base folder. You can add it to your webuser.bat file to make it easier.

@echo off
set PYTHON=
set GIT=
set VENV_DIR=
set COMMANDLINE_ARGS=

@REM Uncomment following code to reference an existing A1111 checkout.
@REM set A1111_HOME=Your A1111 checkout dir
@REM
@REM set VENV_DIR=%A1111_HOME%/venv
@REM set COMMANDLINE_ARGS=%COMMANDLINE_ARGS% ^
@REM  --ckpt-dir %A1111_HOME%/models/Stable-diffusion ^
@REM  --hypernetwork-dir %A1111_HOME%/models/hypernetworks ^
@REM  --embeddings-dir %A1111_HOME%/embeddings ^
@REM  --lora-dir %A1111_HOME%/models/Lora

git checkout d2af6d1b4427928013b5594efb9e0f08ad3bfd16
call webui.bat

[Vigilence]

@lllyasviel The issue might be because of comfyui

https://github.com/comfyanonymous/ComfyUI/issues/1144 https://github.com/comfyanonymous/ComfyUI/issues/887

[sicatt]

@lllyasviel @Vigilence I am experiencing a bug similar to the one I previously reported and fixed in the latest version and others. issues161

The current latest version of the refiner does not have the Lora effect on the refiner.

The procedure for reproducing the bug is shown in the image below. The cause of the bug may be different from that in issue 161, but the procedure to reproduce the bug and the symptoms of the bug are the same as in issue 161.

[BronxBob]

@BronxBob It would be from inside the base folder. You can add it to your webuser.bat file to make it easier.

@echo off
set PYTHON=
set GIT=
set VENV_DIR=
set COMMANDLINE_ARGS=

@REM Uncomment following code to reference an existing A1111 checkout.
@REM set A1111_HOME=Your A1111 checkout dir
@REM
@REM set VENV_DIR=%A1111_HOME%/venv
@REM set COMMANDLINE_ARGS=%COMMANDLINE_ARGS% ^
@REM  --ckpt-dir %A1111_HOME%/models/Stable-diffusion ^
@REM  --hypernetwork-dir %A1111_HOME%/models/hypernetworks ^
@REM  --embeddings-dir %A1111_HOME%/embeddings ^
@REM  --lora-dir %A1111_HOME%/models/Lora

git checkout d2af6d1b4427928013b5594efb9e0f08ad3bfd16
call webui.bat

Sigh tried this and still loras are a no show. Forge works really well aside from the no Lora thing though.,.

[Vigilence]

@BronxBob What issue are you having?

[BronxBob]

@BronxBob What issue are you having?

Never mind, I guess it took a couple of restarts to download the older build cause now it seems to work. Took 4 restarts, the first three were this morning. I was going to screen shot the the whole thing but the first test worked and then the later ones started working as well. Not getting the "lora key not loaded" messages now.

[Vigilence]

@BronxBob What issue are you having?

Never mind, I guess it took a couple of restarts to download the older build cause now it seems to work. Took 4 restarts, the first three were this morning. I was going to screen shot the the whole thing but the first test worked and then the later ones started working as well. Not getting the "lora key not loaded" messages now.

Glad you got it working. If you don't mind sharing the error log for when the lora key not loaded it would help @lllyasviel fix the issue for us.

[BronxBob]

@BronxBob What issue are you having?

Never mind, I guess it took a couple of restarts to download the older build cause now it seems to work. Took 4 restarts, the first three were this morning. I was going to screen shot the the whole thing but the first test worked and then the later ones started working as well. Not getting the "lora key not loaded" messages now.

Glad you got it working. If you don't mind sharing the error log for when the lora key not loaded it would help @lllyasviel fix the issue for us.

Just restarted it and the issue is back (???) so here is what was happening in CMD. Kind of long...

HEAD is now at d2af6d1b Contribution Guideline M webui-user.bat Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] Version: f0.0.10-latest-95-gd2af6d1b Commit hash: d2af6d1b4427928013b5594efb9e0f08ad3bfd16 CUDA 12.1 Launching Web UI with arguments: --theme dark --ckpt-dir X:\SDXL_A111\stable-diffusion-webui\models\Stable-diffusion --lora-dir X:\SDXL_A111\stable-diffusion-webui\models\Lora Total VRAM 12282 MB, total RAM 65452 MB Set vram state to: NORMAL_VRAM Device: cuda:0 NVIDIA GeForce RTX 4070 : native VAE dtype: torch.bfloat16 Using pytorch cross attention ControlNet preprocessor location: X:\webui_forge\webui_forge_cu121_torch21\webui\models\ControlNetPreprocessor 21:28:43 - ReActor - STATUS - Running v0.7.0-a1 on Device: CUDA Loading weights [b6c0f1430a] from X:\SDXL_A111\stable-diffusion-webui\models\Stable-diffusion\sdxlSevenof9NSFW_sdxlSevenof94thNSFW.safetensors 2024-02-19 21:28:43,502 - ControlNet - INFO - ControlNet UI callback registered. Running on local URL: http://127.0.0.1:7860

To create a public link, set share=True in launch(). Startup time: 14.8s (prepare environment: 4.9s, import torch: 3.6s, import gradio: 1.1s, setup paths: 0.9s, initialize shared: 0.1s, other imports: 0.6s, setup gfpgan: 0.1s, load scripts: 2.2s, create ui: 0.6s, gradio launch: 0.5s). model_type EPS UNet ADM Dimension 2816 Using pytorch attention in VAE Working with z of shape (1, 4, 32, 32) = 4096 dimensions. Using pytorch attention in VAE extra {'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids', 'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_l.text_projection'} left over keys: dict_keys(['conditioner.embedders.0.logit_scale', 'conditioner.embedders.0.text_projection', 'conditioner.embedders.1.model.transformer.text_model.embeddings.position_ids']) To load target model SDXLClipModel Begin to load 1 model Moving model(s) has taken 0.82 seconds Model loaded in 8.9s (load weights from disk: 0.8s, forge instantiate config: 1.3s, forge load real models: 4.5s, load VAE: 0.8s, calculate empty prompt: 1.4s). lora key not loaded lora_unet_down_blocks_0_attentions_0_proj_in.alpha lora key not loaded lora_unet_down_blocks_0_attentions_0_proj_in.lora_down.weight lora key not loaded lora_unet_down_blocks_0_attentions_0_proj_in.lora_up.weight lora key not loaded lora_unet_down_blocks_0_attentions_0_proj_out.alpha lora key not loaded lora_unet_down_blocks_0_attentions_0_proj_out.lora_down.weight lora key not loaded lora_unet_down_blocks_0_attentions_0_proj_out.lora_up.weight lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_k.alpha lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_k.lora_down.weight lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_k.lora_up.weight lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_out_0.alpha lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_out_0.lora_down.weight lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_out_0.lora_up.weight lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_q.alpha lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_q.lora_down.weight lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_q.lora_up.weight lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_v.alpha lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_v.lora_down.weight lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_v.lora_up.weight lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn2_to_k.alpha lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn2_to_k.lora_down.weight lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn2_to_k.lora_up.weight lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn2_to_out_0.alpha lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn2_to_out_0.lora_down.weight lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn2_to_out_0.lora_up.weight lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn2_to_q.alpha lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn2_to_q.lora_down.weight lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn2_to_q.lora_up.weight lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn2_to_v.alpha lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn2_to_v.lora_down.weight lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn2_to_v.lora_up.weight lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_ff_net_0_proj.alpha lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_ff_net_0_proj.lora_down.weight lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_ff_net_0_proj.lora_up.weight lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_ff_net_2.alpha lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_ff_net_2.lora_down.weight lora key not loaded lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_ff_net_2.lora_up.weight lora key not loaded lora_unet_down_blocks_0_attentions_1_proj_in.alpha lora key not loaded lora_unet_down_blocks_0_attentions_1_proj_in.lora_down.weight lora key not loaded lora_unet_down_blocks_0_attentions_1_proj_in.lora_up.weight lora key not loaded lora_unet_down_blocks_0_attentions_1_proj_out.alpha lora key not loaded lora_unet_down_blocks_0_attentions_1_proj_out.lora_down.weight lora key not loaded lora_unet_down_blocks_0_attentions_1_proj_out.lora_up.weight lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn1_to_k.alpha lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn1_to_k.lora_down.weight lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn1_to_k.lora_up.weight lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn1_to_out_0.alpha lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn1_to_out_0.lora_down.weight lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn1_to_out_0.lora_up.weight lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn1_to_q.alpha lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn1_to_q.lora_down.weight lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn1_to_q.lora_up.weight lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn1_to_v.alpha lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn1_to_v.lora_down.weight lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn1_to_v.lora_up.weight lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn2_to_k.alpha lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn2_to_k.lora_down.weight lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn2_to_k.lora_up.weight lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn2_to_out_0.alpha lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn2_to_out_0.lora_down.weight lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn2_to_out_0.lora_up.weight lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn2_to_q.alpha lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn2_to_q.lora_down.weight lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn2_to_q.lora_up.weight lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn2_to_v.alpha lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn2_to_v.lora_down.weight lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn2_to_v.lora_up.weight lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_ff_net_0_proj.alpha lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_ff_net_0_proj.lora_down.weight lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_ff_net_0_proj.lora_up.weight lora key not loaded lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_ff_net_2.alpha lora key not loaded 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loaded lora_unet_up_blocks_3_attentions_0_transformer_blocks_0_attn2_to_k.lora_down.weight lora key not loaded lora_unet_up_blocks_3_attentions_0_transformer_blocks_0_attn2_to_k.lora_up.weight lora key not loaded lora_unet_up_blocks_3_attentions_0_transformer_blocks_0_attn2_to_out_0.alpha lora key not loaded lora_unet_up_blocks_3_attentions_0_transformer_blocks_0_attn2_to_out_0.lora_down.weight lora key not loaded lora_unet_up_blocks_3_attentions_0_transformer_blocks_0_attn2_to_out_0.lora_up.weight lora key not loaded lora_unet_up_blocks_3_attentions_0_transformer_blocks_0_attn2_to_q.alpha lora key not loaded lora_unet_up_blocks_3_attentions_0_transformer_blocks_0_attn2_to_q.lora_down.weight lora key not loaded lora_unet_up_blocks_3_attentions_0_transformer_blocks_0_attn2_to_q.lora_up.weight lora key not loaded lora_unet_up_blocks_3_attentions_0_transformer_blocks_0_attn2_to_v.alpha lora key not loaded lora_unet_up_blocks_3_attentions_0_transformer_blocks_0_attn2_to_v.lora_down.weight 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loaded lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_attn2_to_k.lora_down.weight lora key not loaded lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_attn2_to_k.lora_up.weight lora key not loaded lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_attn2_to_out_0.alpha lora key not loaded lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_attn2_to_out_0.lora_down.weight lora key not loaded lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_attn2_to_out_0.lora_up.weight lora key not loaded lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_attn2_to_q.alpha lora key not loaded lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_attn2_to_q.lora_down.weight lora key not loaded lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_attn2_to_q.lora_up.weight lora key not loaded lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_attn2_to_v.alpha lora key not loaded lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_attn2_to_v.lora_down.weight lora key not loaded lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_attn2_to_v.lora_up.weight lora key not loaded lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_ff_net_0_proj.alpha lora key not loaded lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_ff_net_0_proj.lora_down.weight lora key not loaded lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_ff_net_0_proj.lora_up.weight lora key not loaded lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_ff_net_2.alpha lora key not loaded lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_ff_net_2.lora_down.weight lora key not loaded lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_ff_net_2.lora_up.weight To load target model SDXLClipModel Begin to load 1 model unload clone 0 Moving model(s) has taken 1.40 seconds To load target model SDXL Begin to load 1 model ERROR diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_k.weight shape '[640, 2048]' is invalid for input of size 491520 ERROR diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_k.weight shape '[640, 2048]' is invalid for input of size 491520 ERROR diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_v.weight shape '[640, 2048]' is invalid for input of size 491520 ERROR diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_v.weight shape '[640, 2048]' is invalid for input of size 491520 ERROR diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_k.weight shape '[640, 2048]' is invalid for input of size 491520 ERROR diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_k.weight shape '[640, 2048]' is invalid for input of size 491520 ERROR diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_v.weight shape '[640, 2048]' is invalid for input of size 491520 ERROR diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_v.weight shape '[640, 2048]' is invalid for input of size 491520 ERROR diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_k.weight shape '[1280, 2048]' is invalid for input of size 983040 ERROR diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_k.weight shape '[1280, 2048]' is invalid for input of size 983040 ERROR diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_v.weight shape '[1280, 2048]' is invalid for input of size 983040 ERROR diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_v.weight shape '[1280, 2048]' is invalid for input of size 983040 ERROR diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_k.weight shape '[1280, 2048]' is invalid for input of size 983040 ERROR diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_k.weight shape '[1280, 2048]' is invalid for input of size 983040 ERROR diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_v.weight shape '[1280, 2048]' is invalid for input of size 983040 ERROR diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_v.weight shape '[1280, 2048]' is invalid for input of size 983040 ERROR diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_k.weight shape '[1280, 2048]' is invalid for input of size 983040 ERROR diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_k.weight shape '[1280, 2048]' is invalid for input of size 983040 ERROR diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_v.weight shape '[1280, 2048]' is invalid for input of size 983040 ERROR diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_v.weight shape '[1280, 2048]' is invalid for input of size 983040 ERROR diffusion_model.output_blocks.3.1.proj_out.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.3.1.proj_out.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.3.1.proj_in.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.3.1.proj_in.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_q.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_q.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_out.0.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_out.0.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_k.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_k.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_v.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_v.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_q.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_q.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.3.1.transformer_blocks.0.ff.net.2.weight shape '[640, 2560]' is invalid for input of size 6553600 ERROR diffusion_model.output_blocks.3.1.transformer_blocks.0.ff.net.2.weight shape '[640, 2560]' is invalid for input of size 6553600 ERROR diffusion_model.output_blocks.3.1.transformer_blocks.0.ff.net.0.proj.weight shape '[5120, 640]' is invalid for input of size 13107200 ERROR diffusion_model.output_blocks.3.1.transformer_blocks.0.ff.net.0.proj.weight shape '[5120, 640]' is invalid for input of size 13107200 ERROR diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_out.0.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_out.0.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_k.weight shape '[640, 2048]' is invalid for input of size 983040 ERROR diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_k.weight shape '[640, 2048]' is invalid for input of size 983040 ERROR diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_v.weight shape '[640, 2048]' is invalid for input of size 983040 ERROR diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_v.weight shape '[640, 2048]' is invalid for input of size 983040 ERROR diffusion_model.output_blocks.4.1.proj_out.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.4.1.proj_out.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.4.1.proj_in.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.4.1.proj_in.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_q.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_q.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_out.0.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_out.0.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_k.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_k.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_v.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_v.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_q.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_q.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.4.1.transformer_blocks.0.ff.net.2.weight shape '[640, 2560]' is invalid for input of size 6553600 ERROR diffusion_model.output_blocks.4.1.transformer_blocks.0.ff.net.2.weight shape '[640, 2560]' is invalid for input of size 6553600 ERROR diffusion_model.output_blocks.4.1.transformer_blocks.0.ff.net.0.proj.weight shape '[5120, 640]' is invalid for input of size 13107200 ERROR diffusion_model.output_blocks.4.1.transformer_blocks.0.ff.net.0.proj.weight shape '[5120, 640]' is invalid for input of size 13107200 ERROR diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_out.0.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_out.0.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_k.weight shape '[640, 2048]' is invalid for input of size 983040 ERROR diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_k.weight shape '[640, 2048]' is invalid for input of size 983040 ERROR diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_v.weight shape '[640, 2048]' is invalid for input of size 983040 ERROR diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_v.weight shape '[640, 2048]' is invalid for input of size 983040 ERROR diffusion_model.output_blocks.5.1.proj_out.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.5.1.proj_out.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.5.1.proj_in.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.5.1.proj_in.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_q.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_q.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_out.0.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_out.0.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_k.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_k.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_v.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_v.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_q.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_q.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.5.1.transformer_blocks.0.ff.net.2.weight shape '[640, 2560]' is invalid for input of size 6553600 ERROR diffusion_model.output_blocks.5.1.transformer_blocks.0.ff.net.2.weight shape '[640, 2560]' is invalid for input of size 6553600 ERROR diffusion_model.output_blocks.5.1.transformer_blocks.0.ff.net.0.proj.weight shape '[5120, 640]' is invalid for input of size 13107200 ERROR diffusion_model.output_blocks.5.1.transformer_blocks.0.ff.net.0.proj.weight shape '[5120, 640]' is invalid for input of size 13107200 ERROR diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_out.0.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_out.0.weight shape '[640, 640]' is invalid for input of size 1638400 ERROR diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_k.weight shape '[640, 2048]' is invalid for input of size 983040 ERROR diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_k.weight shape '[640, 2048]' is invalid for input of size 983040 ERROR diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_v.weight shape '[640, 2048]' is invalid for input of size 983040 ERROR diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_v.weight shape '[640, 2048]' is invalid for input of size 983040 Moving model(s) has taken 1.83 seconds 100%|██████████████████████████████████████████████████████████████████████████████████| 35/35 [00:11<00:00, 3.08it/s] To load target model AutoencoderKL█████████████████████████████████████████████████████| 35/35 [00:10<00:00, 3.27it/s] Begin to load 1 model Moving model(s) has taken 0.65 seconds Total progress: 100%|██████████████████████████████████████████████████████████████████| 35/35 [00:12<00:00, 2.89it/s] Total progress: 100%|██████████████████████████████████████████████████████████████████| 35/35 [00:12<00:00, 3.27it/s]

[BronxBob]

Ok here is something weird. I can get Loras working if when I start forge I start with a 512x512 generation using loras. After that I can expand to 1024x1024 generations. Here is the CMD dump:

HEAD is now at d2af6d1b Contribution Guideline M webui-user.bat Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] Version: f0.0.10-latest-95-gd2af6d1b Commit hash: d2af6d1b4427928013b5594efb9e0f08ad3bfd16 CUDA 12.1 Launching Web UI with arguments: --theme dark --ckpt-dir X:\SDXL_A111\stable-diffusion-webui\models\Stable-diffusion --lora-dir X:\SDXL_A111\stable-diffusion-webui\models\Lora Total VRAM 12282 MB, total RAM 65452 MB Set vram state to: NORMAL_VRAM Device: cuda:0 NVIDIA GeForce RTX 4070 : native VAE dtype: torch.bfloat16 Using pytorch cross attention ControlNet preprocessor location: X:\webui_forge\webui_forge_cu121_torch21\webui\models\ControlNetPreprocessor 21:38:32 - ReActor - STATUS - Running v0.7.0-a1 on Device: CUDA Loading weights [b6c0f1430a] from X:\SDXL_A111\stable-diffusion-webui\models\Stable-diffusion\sdxlSevenof9NSFW_sdxlSevenof94thNSFW.safetensors 2024-02-19 21:38:32,310 - ControlNet - INFO - ControlNet UI callback registered. Running on local URL: http://127.0.0.1:7860

To create a public link, set share=True in launch(). Startup time: 13.1s (prepare environment: 4.5s, import torch: 3.2s, import gradio: 0.9s, setup paths: 0.7s, other imports: 0.5s, setup gfpgan: 0.1s, load scripts: 2.0s, create ui: 0.6s, gradio launch: 0.4s). model_type EPS UNet ADM Dimension 2816 Using pytorch attention in VAE Working with z of shape (1, 4, 32, 32) = 4096 dimensions. Using pytorch attention in VAE extra {'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids', 'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_l.logit_scale'} left over keys: dict_keys(['conditioner.embedders.0.logit_scale', 'conditioner.embedders.0.text_projection', 'conditioner.embedders.1.model.transformer.text_model.embeddings.position_ids']) To load target model SDXLClipModel Begin to load 1 model Moving model(s) has taken 0.62 seconds Model loaded in 8.4s (load weights from disk: 0.8s, forge instantiate config: 1.3s, forge load real models: 4.4s, load VAE: 0.8s, calculate empty prompt: 1.0s). To load target model SDXL Begin to load 1 model Moving model(s) has taken 0.90 seconds 100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:02<00:00, 9.68it/s] To load target model AutoencoderKL█████████████████████████████████████████████████▋ | 19/20 [00:01<00:00, 11.98it/s] Begin to load 1 model Moving model(s) has taken 0.30 seconds Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:02<00:00, 9.25it/s] To load target model SDXLClipModel█████████████████████████████████████████████████████| 20/20 [00:02<00:00, 11.98it/s] Begin to load 1 model unload clone 2 Moving model(s) has taken 0.89 seconds To load target model SDXL Begin to load 1 model unload clone 2 Moving model(s) has taken 2.11 seconds 100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:01<00:00, 12.07it/s] Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:02<00:00, 9.79it/s] Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:02<00:00, 12.29it/s]

Going to try latest branch and see if this does the same.

[BronxBob]

Going to try latest branch and see if this does the same.

And yes! do a 512x512 first and it works correctly after that.. wierd. Here is the CMD stuff...

Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] Version: f0.0.10-latest-95-gd2af6d1b Commit hash: d2af6d1b4427928013b5594efb9e0f08ad3bfd16 CUDA 12.1 Launching Web UI with arguments: --theme dark --ckpt-dir X:\SDXL_A111\stable-diffusion-webui\models\Stable-diffusion --lora-dir X:\SDXL_A111\stable-diffusion-webui\models\Lora Total VRAM 12282 MB, total RAM 65452 MB Set vram state to: NORMAL_VRAM Device: cuda:0 NVIDIA GeForce RTX 4070 : native VAE dtype: torch.bfloat16 Using pytorch cross attention ControlNet preprocessor location: X:\webui_forge\webui_forge_cu121_torch21\webui\models\ControlNetPreprocessor 21:48:54 - ReActor - STATUS - Running v0.7.0-a1 on Device: CUDA Loading weights [b6c0f1430a] from X:\SDXL_A111\stable-diffusion-webui\models\Stable-diffusion\sdxlSevenof9NSFW_sdxlSevenof94thNSFW.safetensors 2024-02-19 21:48:55,054 - ControlNet - INFO - ControlNet UI callback registered. Running on local URL: http://127.0.0.1:7860

To create a public link, set share=True in launch(). Startup time: 13.1s (prepare environment: 4.5s, import torch: 3.2s, import gradio: 0.9s, setup paths: 0.7s, other imports: 0.5s, setup gfpgan: 0.1s, load scripts: 2.1s, create ui: 0.7s, gradio launch: 0.3s). model_type EPS UNet ADM Dimension 2816 Using pytorch attention in VAE Working with z of shape (1, 4, 32, 32) = 4096 dimensions. Using pytorch attention in VAE extra {'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids'} left over keys: dict_keys(['conditioner.embedders.0.logit_scale', 'conditioner.embedders.0.text_projection', 'conditioner.embedders.1.model.transformer.text_model.embeddings.position_ids']) To load target model SDXLClipModel Begin to load 1 model Moving model(s) has taken 0.88 seconds Model loaded in 8.7s (load weights from disk: 0.8s, forge instantiate config: 1.3s, forge load real models: 4.4s, load VAE: 0.8s, calculate empty prompt: 1.3s). Loading weights [aeb7e9e689] from X:\SDXL_A111\stable-diffusion-webui\models\Stable-diffusion\juggernautXL_v8Rundiffusion.safetensors model_type EPS UNet ADM Dimension 2816 Using pytorch attention in VAE Working with z of shape (1, 4, 32, 32) = 4096 dimensions. Using pytorch attention in VAE extra {'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids'} To load target model SDXLClipModel Begin to load 1 model Moving model(s) has taken 0.60 seconds Model loaded in 6.8s (unload existing model: 0.7s, forge instantiate config: 1.1s, forge load real models: 4.2s, calculate empty prompt: 0.7s). To load target model SDXLClipModel Begin to load 1 model unload clone 0 Moving model(s) has taken 0.88 seconds To load target model SDXL Begin to load 1 model Moving model(s) has taken 0.96 seconds 100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:02<00:00, 9.67it/s] To load target model AutoencoderKL█████████████████████████████████████████████████▋ | 19/20 [00:01<00:00, 11.76it/s] Begin to load 1 model Moving model(s) has taken 0.25 seconds Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:02<00:00, 9.30it/s] 100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:06<00:00, 3.32it/s] Moving model(s) skipped. Freeing memory has taken 0.56 seconds█████████████████████████| 20/20 [00:05<00:00, 3.34it/s] Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:07<00:00, 2.81it/s] Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:07<00:00, 3.34it/s]

[Mikayori]

Going to try latest branch and see if this does the same.

And yes! do a 512x512 first and it works correctly after that.. wierd. Here is the CMD stuff...

Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] Version: f0.0.10-latest-95-gd2af6d1b Commit hash: d2af6d1 CUDA 12.1 Launching Web UI with arguments: --theme dark --ckpt-dir X:\SDXL_A111\stable-diffusion-webui\models\Stable-diffusion --lora-dir X:\SDXL_A111\stable-diffusion-webui\models\Lora Total VRAM 12282 MB, total RAM 65452 MB Set vram state to: NORMAL_VRAM Device: cuda:0 NVIDIA GeForce RTX 4070 : native VAE dtype: torch.bfloat16 Using pytorch cross attention ControlNet preprocessor location: X:\webui_forge\webui_forge_cu121_torch21\webui\models\ControlNetPreprocessor 21:48:54 - ReActor - STATUS - Running v0.7.0-a1 on Device: CUDA Loading weights [b6c0f1430a] from X:\SDXL_A111\stable-diffusion-webui\models\Stable-diffusion\sdxlSevenof9NSFW_sdxlSevenof94thNSFW.safetensors 2024-02-19 21:48:55,054 - ControlNet - INFO - ControlNet UI callback registered. Running on local URL: http://127.0.0.1:7860

To create a public link, set share=True in launch(). Startup time: 13.1s (prepare environment: 4.5s, import torch: 3.2s, import gradio: 0.9s, setup paths: 0.7s, other imports: 0.5s, setup gfpgan: 0.1s, load scripts: 2.1s, create ui: 0.7s, gradio launch: 0.3s). model_type EPS UNet ADM Dimension 2816 Using pytorch attention in VAE Working with z of shape (1, 4, 32, 32) = 4096 dimensions. Using pytorch attention in VAE extra {'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids'} left over keys: dict_keys(['conditioner.embedders.0.logit_scale', 'conditioner.embedders.0.text_projection', 'conditioner.embedders.1.model.transformer.text_model.embeddings.position_ids']) To load target model SDXLClipModel Begin to load 1 model Moving model(s) has taken 0.88 seconds Model loaded in 8.7s (load weights from disk: 0.8s, forge instantiate config: 1.3s, forge load real models: 4.4s, load VAE: 0.8s, calculate empty prompt: 1.3s). Loading weights [aeb7e9e689] from X:\SDXL_A111\stable-diffusion-webui\models\Stable-diffusion\juggernautXL_v8Rundiffusion.safetensors model_type EPS UNet ADM Dimension 2816 Using pytorch attention in VAE Working with z of shape (1, 4, 32, 32) = 4096 dimensions. Using pytorch attention in VAE extra {'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids'} To load target model SDXLClipModel Begin to load 1 model Moving model(s) has taken 0.60 seconds Model loaded in 6.8s (unload existing model: 0.7s, forge instantiate config: 1.1s, forge load real models: 4.2s, calculate empty prompt: 0.7s). To load target model SDXLClipModel Begin to load 1 model unload clone 0 Moving model(s) has taken 0.88 seconds To load target model SDXL Begin to load 1 model Moving model(s) has taken 0.96 seconds 100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:02<00:00, 9.67it/s] To load target model AutoencoderKL█████████████████████████████████████████████████▋ | 19/20 [00:01<00:00, 11.76it/s] Begin to load 1 model Moving model(s) has taken 0.25 seconds Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:02<00:00, 9.30it/s] 100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:06<00:00, 3.32it/s] Moving model(s) skipped. Freeing memory has taken 0.56 seconds█████████████████████████| 20/20 [00:05<00:00, 3.34it/s] Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:07<00:00, 2.81it/s] Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:07<00:00, 3.34it/s]

Heyy, i get the same problem as yours. i already reinstalling repeatedly and still get the error "lora key not loaded" and error diffusion. maybe i will try your method to generate a 512x512 image the first time launch forge.

[Vigilence]

You can fix the error downloading the commit I shared above. However, if you don't add it to the user-bat file you run the risk of updating forge if you launch it with a different bat file.

@echo off

set PYTHON=
set GIT=
set VENV_DIR=
set COMMANDLINE_ARGS=

@REM Uncomment following code to reference an existing A1111 checkout.
@REM set A1111_HOME=Your A1111 checkout dir
@REM
@REM set VENV_DIR=%A1111_HOME%/venv
@REM set COMMANDLINE_ARGS=%COMMANDLINE_ARGS% ^
@REM  --ckpt-dir %A1111_HOME%/models/Stable-diffusion ^
@REM  --hypernetwork-dir %A1111_HOME%/models/hypernetworks ^
@REM  --embeddings-dir %A1111_HOME%/embeddings ^
@REM  --lora-dir %A1111_HOME%/models/Lora
git checkout d2af6d1b4427928013b5594efb9e0f08ad3bfd16
call webui.bat

[Mikayori]

Going to try latest branch and see if this does the same.

And yes! do a 512x512 first and it works correctly after that.. wierd. Here is the CMD stuff... Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] Version: f0.0.10-latest-95-gd2af6d1b Commit hash: d2af6d1 CUDA 12.1 Launching Web UI with arguments: --theme dark --ckpt-dir X:\SDXL_A111\stable-diffusion-webui\models\Stable-diffusion --lora-dir X:\SDXL_A111\stable-diffusion-webui\models\Lora Total VRAM 12282 MB, total RAM 65452 MB Set vram state to: NORMAL_VRAM Device: cuda:0 NVIDIA GeForce RTX 4070 : native VAE dtype: torch.bfloat16 Using pytorch cross attention ControlNet preprocessor location: X:\webui_forge\webui_forge_cu121_torch21\webui\models\ControlNetPreprocessor 21:48:54 - ReActor - STATUS - Running v0.7.0-a1 on Device: CUDA Loading weights [b6c0f1430a] from X:\SDXL_A111\stable-diffusion-webui\models\Stable-diffusion\sdxlSevenof9NSFW_sdxlSevenof94thNSFW.safetensors 2024-02-19 21:48:55,054 - ControlNet - INFO - ControlNet UI callback registered. Running on local URL: http://127.0.0.1:7860 To create a public link, set share=True in launch(). Startup time: 13.1s (prepare environment: 4.5s, import torch: 3.2s, import gradio: 0.9s, setup paths: 0.7s, other imports: 0.5s, setup gfpgan: 0.1s, load scripts: 2.1s, create ui: 0.7s, gradio launch: 0.3s). model_type EPS UNet ADM Dimension 2816 Using pytorch attention in VAE Working with z of shape (1, 4, 32, 32) = 4096 dimensions. Using pytorch attention in VAE extra {'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids'} left over keys: dict_keys(['conditioner.embedders.0.logit_scale', 'conditioner.embedders.0.text_projection', 'conditioner.embedders.1.model.transformer.text_model.embeddings.position_ids']) To load target model SDXLClipModel Begin to load 1 model Moving model(s) has taken 0.88 seconds Model loaded in 8.7s (load weights from disk: 0.8s, forge instantiate config: 1.3s, forge load real models: 4.4s, load VAE: 0.8s, calculate empty prompt: 1.3s). Loading weights [aeb7e9e689] from X:\SDXL_A111\stable-diffusion-webui\models\Stable-diffusion\juggernautXL_v8Rundiffusion.safetensors model_type EPS UNet ADM Dimension 2816 Using pytorch attention in VAE Working with z of shape (1, 4, 32, 32) = 4096 dimensions. Using pytorch attention in VAE extra {'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids'} To load target model SDXLClipModel Begin to load 1 model Moving model(s) has taken 0.60 seconds Model loaded in 6.8s (unload existing model: 0.7s, forge instantiate config: 1.1s, forge load real models: 4.2s, calculate empty prompt: 0.7s). To load target model SDXLClipModel Begin to load 1 model unload clone 0 Moving model(s) has taken 0.88 seconds To load target model SDXL Begin to load 1 model Moving model(s) has taken 0.96 seconds 100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:02<00:00, 9.67it/s] To load target model AutoencoderKL█████████████████████████████████████████████████▋ | 19/20 [00:01<00:00, 11.76it/s] Begin to load 1 model Moving model(s) has taken 0.25 seconds Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:02<00:00, 9.30it/s] 100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:06<00:00, 3.32it/s] Moving model(s) skipped. Freeing memory has taken 0.56 seconds█████████████████████████| 20/20 [00:05<00:00, 3.34it/s] Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:07<00:00, 2.81it/s] Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:07<00:00, 3.34it/s]

Heyy, i get the same problem as yours. i already reinstalling repeatedly and still get the error "lora key not loaded" and error diffusion. maybe i will try your method to generate a 512x512 image the first time launch forge.

i still get error even i run 512x512 first generation , i still get error lora key not loaded.

[BronxBob]

Did you run the first 512x512 with a lora? I think I left that part out

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On Tue, Feb 20, 2024 at 7:23 AM Mikayori @.***> wrote:

Going to try latest branch and see if this does the same.

And yes! do a 512x512 first and it works correctly after that.. wierd. Here is the CMD stuff... Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] Version: f0.0.10-latest-95-gd2af6d1b Commit hash: d2af6d1 https://github.com/lllyasviel/stable-diffusion-webui-forge/commit/d2af6d1b4427928013b5594efb9e0f08ad3bfd16 CUDA 12.1 Launching Web UI with arguments: --theme dark --ckpt-dir X:\SDXL_A111\stable-diffusion-webui\models\Stable-diffusion --lora-dir X:\SDXL_A111\stable-diffusion-webui\models\Lora Total VRAM 12282 MB, total RAM 65452 MB Set vram state to: NORMAL_VRAM Device: cuda:0 NVIDIA GeForce RTX 4070 : native VAE dtype: torch.bfloat16 Using pytorch cross attention ControlNet preprocessor location: X:\webui_forge\webui_forge_cu121_torch21\webui\models\ControlNetPreprocessor 21:48:54 - ReActor - STATUS - Running v0.7.0-a1 on Device: CUDA Loading weights [b6c0f1430a] from X:\SDXL_A111\stable-diffusion-webui\models\Stable-diffusion\sdxlSevenof9NSFW_sdxlSevenof94thNSFW.safetensors 2024-02-19 21:48:55,054 - ControlNet - INFO - ControlNet UI callback registered. Running on local URL: http://127.0.0.1:7860 To create a public link, set share=True in launch(). Startup time: 13.1s (prepare environment: 4.5s, import torch: 3.2s, import gradio: 0.9s, setup paths: 0.7s, other imports: 0.5s, setup gfpgan: 0.1s, load scripts: 2.1s, create ui: 0.7s, gradio launch: 0.3s). model_type EPS UNet ADM Dimension 2816 Using pytorch attention in VAE Working with z of shape (1, 4, 32, 32) = 4096 dimensions. Using pytorch attention in VAE extra {'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids'} left over keys: dict_keys(['conditioner.embedders.0.logit_scale', 'conditioner.embedders.0.text_projection', 'conditioner.embedders.1.model.transformer.text_model.embeddings.position_ids']) To load target model SDXLClipModel Begin to load 1 model Moving model(s) has taken 0.88 seconds Model loaded in 8.7s (load weights from disk: 0.8s, forge instantiate config: 1.3s, forge load real models: 4.4s, load VAE: 0.8s, calculate empty prompt: 1.3s). Loading weights [aeb7e9e689] from X:\SDXL_A111\stable-diffusion-webui\models\Stable-diffusion\juggernautXL_v8Rundiffusion.safetensors model_type EPS UNet ADM Dimension 2816 Using pytorch attention in VAE Working with z of shape (1, 4, 32, 32) = 4096 dimensions. Using pytorch attention in VAE extra {'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids'} To load target model SDXLClipModel Begin to load 1 model Moving model(s) has taken 0.60 seconds Model loaded in 6.8s (unload existing model: 0.7s, forge instantiate config: 1.1s, forge load real models: 4.2s, calculate empty prompt: 0.7s). To load target model SDXLClipModel Begin to load 1 model unload clone 0 Moving model(s) has taken 0.88 seconds To load target model SDXL Begin to load 1 model Moving model(s) has taken 0.96 seconds 100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:02<00:00, 9.67it/s] To load target model AutoencoderKL█████████████████████████████████████████████████▋ | 19/20 [00:01<00:00, 11.76it/s] Begin to load 1 model Moving model(s) has taken 0.25 seconds Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:02<00:00, 9.30it/s] 100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:06<00:00, 3.32it/s] Moving model(s) skipped. Freeing memory has taken 0.56 seconds█████████████████████████| 20/20 [00:05<00:00, 3.34it/s] Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:07<00:00, 2.81it/s] Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:07<00:00, 3.34it/s]

Heyy, i get the same problem as yours. i already reinstalling repeatedly and still get the error "lora key not loaded" and error diffusion. maybe i will try your method to generate a 512x512 image the first time launch forge.

i still get error even i run 512x512 first generation , i still get error lora key not loaded.

— Reply to this email directly, view it on GitHub https://github.com/lllyasviel/stable-diffusion-webui-forge/issues/194#issuecomment-1954104290, or unsubscribe https://github.com/notifications/unsubscribe-auth/AITODRNSHGT7QWSD64YTWTDYUSIVLAVCNFSM6AAAAABDDO3VU6VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTSNJUGEYDIMRZGA . You are receiving this because you were mentioned.Message ID: @.***>

[Mikayori]

Did you run the first 512x512 with a lora? I think I left that part out https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail Virus-free.www.avast.com https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> … On Tue, Feb 20, 2024 at 7:23 AM Mikayori @.> wrote: Going to try latest branch and see if this does the same. And yes! do a 512x512 first and it works correctly after that.. wierd. Here is the CMD stuff... Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] Version: f0.0.10-latest-95-gd2af6d1b Commit hash: d2af6d1 <d2af6d1> CUDA 12.1 Launching Web UI with arguments: --theme dark --ckpt-dir X:\SDXL_A111\stable-diffusion-webui\models\Stable-diffusion --lora-dir X:\SDXL_A111\stable-diffusion-webui\models\Lora Total VRAM 12282 MB, total RAM 65452 MB Set vram state to: NORMAL_VRAM Device: cuda:0 NVIDIA GeForce RTX 4070 : native VAE dtype: torch.bfloat16 Using pytorch cross attention ControlNet preprocessor location: X:\webui_forge\webui_forge_cu121_torch21\webui\models\ControlNetPreprocessor 21:48:54 - ReActor - STATUS - Running v0.7.0-a1 on Device: CUDA Loading weights [b6c0f1430a] from X:\SDXL_A111\stable-diffusion-webui\models\Stable-diffusion\sdxlSevenof9NSFW_sdxlSevenof94thNSFW.safetensors 2024-02-19 21:48:55,054 - ControlNet - INFO - ControlNet UI callback registered. Running on local URL: http://127.0.0.1:7860 To create a public link, set share=True in launch(). Startup time: 13.1s (prepare environment: 4.5s, import torch: 3.2s, import gradio: 0.9s, setup paths: 0.7s, other imports: 0.5s, setup gfpgan: 0.1s, load scripts: 2.1s, create ui: 0.7s, gradio launch: 0.3s). model_type EPS UNet ADM Dimension 2816 Using pytorch attention in VAE Working with z of shape (1, 4, 32, 32) = 4096 dimensions. Using pytorch attention in VAE extra {'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids'} left over keys: dict_keys(['conditioner.embedders.0.logit_scale', 'conditioner.embedders.0.text_projection', 'conditioner.embedders.1.model.transformer.text_model.embeddings.position_ids']) To load target model SDXLClipModel Begin to load 1 model Moving model(s) has taken 0.88 seconds Model loaded in 8.7s (load weights from disk: 0.8s, forge instantiate config: 1.3s, forge load real models: 4.4s, load VAE: 0.8s, calculate empty prompt: 1.3s). Loading weights [aeb7e9e689] from X:\SDXL_A111\stable-diffusion-webui\models\Stable-diffusion\juggernautXL_v8Rundiffusion.safetensors model_type EPS UNet ADM Dimension 2816 Using pytorch attention in VAE Working with z of shape (1, 4, 32, 32) = 4096 dimensions. Using pytorch attention in VAE extra {'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids'} To load target model SDXLClipModel Begin to load 1 model Moving model(s) has taken 0.60 seconds Model loaded in 6.8s (unload existing model: 0.7s, forge instantiate config: 1.1s, forge load real models: 4.2s, calculate empty prompt: 0.7s). To load target model SDXLClipModel Begin to load 1 model unload clone 0 Moving model(s) has taken 0.88 seconds To load target model SDXL Begin to load 1 model Moving model(s) has taken 0.96 seconds 100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:02<00:00, 9.67it/s] To load target model AutoencoderKL█████████████████████████████████████████████████▋ | 19/20 [00:01<00:00, 11.76it/s] Begin to load 1 model Moving model(s) has taken 0.25 seconds Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:02<00:00, 9.30it/s] 100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:06<00:00, 3.32it/s] Moving model(s) skipped. Freeing memory has taken 0.56 seconds█████████████████████████| 20/20 [00:05<00:00, 3.34it/s] Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:07<00:00, 2.81it/s] Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:07<00:00, 3.34it/s] Heyy, i get the same problem as yours. i already reinstalling repeatedly and still get the error "lora key not loaded" and error diffusion. maybe i will try your method to generate a 512x512 image the first time launch forge. i still get error even i run 512x512 first generation , i still get error lora key not loaded. — Reply to this email directly, view it on GitHub <#194 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AITODRNSHGT7QWSD64YTWTDYUSIVLAVCNFSM6AAAAABDDO3VU6VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTSNJUGEYDIMRZGA . You are receiving this because you were mentioned.Message ID: @.>

ya already use lora at first generation 512x512 but the error still pops up on cmd

[FrankDela]

你有什么问题？

没关系，我想下载旧版本需要几次重新启动，因为现在它似乎可以工作了。重新启动了 4 次，前三次是今天早上。我打算对整个事情进行屏幕截图，但第一个测试有效，然后后来的测试也开始工作。现在没有收到“lora 密钥未加载”消息。

很高兴你让它工作。如果您不介意共享错误日志，这将有助于我们解决问题。lora key not loaded

Diagnostics-1711891790.log

[serget2]

How do I add it to the comfyUI webUI bat (run_nvidia_gpu.bat) because it only has 2 lines? .\python_embeded\python.exe -s ComfyUI\main.py --windows-standalone-build pause

do I add it before or after or NOT at all?