Furkan Gözükara
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1 Click Automatic Installer & A Very Advanced GUI For InstantId For Windows, RunPod, Linux & Kaggle Notebook
🕑 Added 2024-06-21 01:00:00 +0000 UTCThis post is now only history and obsolete
new post : https://www.patreon.com/posts/118469722
This post is now only history and obsolete
new post : https://www.patreon.com/posts/118469722
This post is now only history and obsolete
new post : https://www.patreon.com/posts/118469722
Join discord and tell me your discord username to get a special rank : SECourses Discord
How to use NGROK to connect Gradio apps on free Kaggle notebooks : https://youtu.be/iBT6rhH0Fjs
16 August 2024 Update:
InstantID updated to V22
Test all LoRA combinations added that you can test every model + every LoRA combination
LoRA scale was not working properly when you change them - this issue fixed
LoRA loading and unloading was not working properly - this issue fixed
Reloading pipe in each case fixed - now only LoRA weights loaded and unloaded
Way more accurately and faster working than before
New Pro Headshot preset added
Diffusers version upgraded to 0.30.0 so you should windows update and call install bat file again or manually upgrade diffusers ver
3 July 2024 Update V14:
Zip file updated to : instant_id_v19.zip
New feature Change applied LoRA Scale added under LoRA selection section
You can now set the applied power / strength / scale of LoRAs
Just run Windows_Update_Version.bat if you had Version 13
Libraries updated to latest versions
Per step speed added to the command line interface window (CMD - Terminal)
Kaggle notebook updated to V4 - now uses kaggle/temp directory so we can download more models
A cell added to the Kaggle notebook to download SDXL Base 1.0, RealVisXL 4.0, Juggernaut_XL_v9 and Juggernaut_XL_v10 into models folder automatically
30 April 2024 Update V13:
InstantID updated to V13
FP4 and FP8 support added. Thus even with 8 GB GPUs now you can use amazingly
Fully supporting older weak GPUs as well
Kaggle notebook updated and now works much better than before with FP8
Kaggle notebook is inside the zip file
Massed Compute installers and instructions added to the zip file
RunPod installers and instructions added to the zip file
Newest lower precision and cpu offloading required VRAMs as below
Several metadata saving and loading bugs fixed. E.g. it was saving style prompts as well or was giving error when you didn't use any
18 March 2024 Update V12:
InstantID updated to V12
Now Metadata of the images will be saved into saved images
You can load and see Metadata from newly added Image Metadata tab
Load & Set Metadata Settings buttons will load and set the same settings of particular generated image including input images
If images are not existing anymore they won't be set
update_windows_version .bat file will update to this version if you have V11
If still doesn't work try to run update_windows_requirements .bat
If still not work install into a new folder like C:/instant_id_v13
25 February 2024 Update V11:
LoRA model support added
You can even use multiple LoRAs at the same time
Select the LoRA models from LoRA model dropdown
The Gradio will scan loras folder inside the InstantID folder
You can also give custom LoRA models folder path with this argument --loras_path
Example full argument
python gradio_demo\web-ui-multicontrolnet.py %extra_args% --models_path "G:\automatic1111\stable-diffusion-webui\models\Stable-diffusion" --loras_path "G:\automatic1111\stable-diffusion-webui\models\Lora"
Download latest InstantID and extract into folder where you want to install
LCM sampler bug fixed but it is really bad quality
Installer library version bug fixed
App screenshot updated : instant id app screenshot.png
21 February 2024 Update:
Face cropping feature massively improved to support
Different aspect ratio having input face
Different aspect ratio having outputs
Please do a fresh install as we have a new library dependency
Also the detected face and cropped input images will be saved inside temp_faces folder inside InstantID foder
We also did a fix to lowvram option which was causing 1 click working 1 click error 1 click working
Please report any other errors you might encounter
20 February 2024 Massive Update:
Fixed model reloading with V5 update
New style and depth model added as well
In rare occasions CPU Offloading could cause error especially on Kaggle
This error is fixed
Added refresh models feature - Only SDXL models work
Fixed RunPod instructions error
If you want to use existing models folder: edit run_web_UI. bat and add your folder path as below
--models_path "G:\automatic1111\stable-diffusion-webui\models\Stable-diffusion"
Don't forget "" and give your own model path
18 February 2024 Massive Update:
Now supports Pose, Canny & Depth ControlNets - all auto installed & downloaded
Single controlnet web app removed since all optimizations applied to multi controlnet and should work very well even with 8GB GPUs
When starting the app it will ask you Low VRAM option, Gradio Live share option and FP16 option
Use Low VRAM option if you have lesser than 16 GB GPUs
Low VRAM option will enable CPU offloading and it is super optimized. All thanks to amazing work of Pelolisu from our Discord channel
Use FP16 option if you have older GPUs such as RTX 1080 TI which doesn't support BF16
Use Gradio Live share if you want to share your app or if you are running it in RunPod or such cloud, etc
Kaggle notebook also updated to latest version
On Kaggle notebook, if you want to use ControlNets you need to add --lowvram to starting parameter
However this will slow down the generation a lot
Without additional ControlNets, Kaggle works super fast
RunPod instructions txt file added. Just change the paths if you are a Linux user
10 February 2024 Update:
Automatic image cropping feature added so now you can upload any aspect ratio image and get any aspect ratio output image - it is auto active
CPU offloading feature added to the single controlnet gradio app so it works super fast with 12GB / 10GB GPUs even 8GB gpus should work fine now just reduce target resolution
Multi-ControlNet app is also now supporting CPU offloading and with 16GB GPU you should be able to use it very fast with multiple ControlNet at the same time
To update either do a git pull or do a fresh install
How to do git pull : https://youtu.be/-NjNy7afOQ0
Full tutorial video : in production
Fully automatic installers for Windows and Linux for InstantID : Zero-shot Identity-Preserving Generation in Seconds > https://instantid.github.io/
Watch it to learn how to install Python (3.10), Visual C++ tools properly > https://youtu.be/-NjNy7afOQ0 since you need C++ tools installed for InsightFace library
Features
1 click install on Windows (local) and RunPod and Kaggle (free account) and Linux (local or cloud) systems
It will install everything and download everything into a new VENV
Advanved Gradio Web APP compared to the official demo with following features
xFormers - faster
Custom image resolutions - enter any final resolution of image you want (some specific resolutions may fail but common ones working like 768x1024, 1024x1280, 768x768, etc.)
Scans models folder and let you pick any model from there
Give full path or Hugging Face repo of any model with an input box
Generate any number of images like set 200 images and it will generate 200 image
Every image is saved by default into the outputs folder
I am talking with developers to add extra lower VRAM (probably below 6 GB) feature
Supports pose, canny & depth ControlNet combination
Comparisons & Experiments
CFG comparisons 4 vs 4.5 vs 5, 6, 7, 8, 9, 10 (I think 4 is best with our technique) :
Schedulers comparison (I think DPMSolverMultistepScheduler-Karras is best) :
IdentityNet strength comparisons (I feel like 0.6 is best with our technique)
Image adapter strength comparisons (I feel like 1.0 is best with our technique )
Tips
Select target resolution with same aspect ratio of your input image
Crop your input image with same aspect ratio of your desired output resolution
E.g. input image is 1746x2619 so target resolution can be 768x1152 - same aspect ratio
I use resize feature of Paint .Net (free open source) to find target resolution or cropping
You can download any SDXL model from CivitAI or Hugging Face and use. Download into models folder inside InstantID folder and restart the APP
Requirements
Tested on Python 3.10.11 so use Python 3.10.x
C++ tools has to be installed for InsightFace library
Full tutorial to install these 2 : https://youtu.be/-NjNy7afOQ0
Windows Install Instructions
Download instant_id . zip from attachments
Extract files into any folder you want to install
First double click windows_install .bat and install the InstantID
Kaggle Instructions
Upload kaggle notebook inside zip file (import notebook)
Select Python and GPT T4 x2 and Internet On
Instructions are well written on the Notebook
Comments
Furkan Gözükara
this post not updated anymore. new post : https://www.patreon.com/posts/118469722
Huey
I installed v19 in windows 11 but got the following errors : Modify this file and add --share if you want Gradio share Options VRAM usages are as below. No controlnet or LoRA used so these are min requirements 1+1 = 13 GB, 1+2 = 10 GB , 1+3 = 8.5 GB, 2+1 = 10.5 GB, 2+2 = 8.2 GB , 2+3 = 6.9 GB Please select an option: 1. Default - Faster but higher VRAM 2. Enable CPU Offloading - Reduces VRAM but changes output. I would avoid if possible Enter your choice (1-2): 1 Please select an option: 1. Default Precision (Half BF16-FP16) - Higher quality higher VRAM 2. FP8 Precision - Slightly lower quality medium VRAM 3. FP4 Precision - More slightly lower quality lower VRAM Enter your choice (1-3): 1 Traceback (most recent call last): File "C:\AIGen\instant_id_v19\InstantID\venv\lib\site-packages\diffusers\utils\import_utils.py", line 811, in _get_module return importlib.import_module("." + module_name, self.__name__) File "C:\Python310\lib\importlib\__init__.py", line 126, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "", line 1050, in _gcd_import File "", line 1027, in _find_and_load File "", line 1006, in _find_and_load_unlocked File "", line 688, in _load_unlocked File "", line 883, in exec_module File "", line 241, in _call_with_frames_removed File "C:\AIGen\instant_id_v19\InstantID\venv\lib\site-packages\diffusers\loaders\lora_pipeline.py", line 33, in from .lora_base import LoraBaseMixin File "C:\AIGen\instant_id_v19\InstantID\venv\lib\site-packages\diffusers\loaders\lora_base.py", line 47, in from peft.tuners.tuners_utils import BaseTunerLayer File "C:\AIGen\instant_id_v19\InstantID\venv\lib\site-packages\peft\__init__.py", line 22, in from .auto import ( File "C:\AIGen\instant_id_v19\InstantID\venv\lib\site-packages\peft\auto.py", line 32, in from .mapping import MODEL_TYPE_TO_PEFT_MODEL_MAPPING File "C:\AIGen\instant_id_v19\InstantID\venv\lib\site-packages\peft\mapping.py", line 25, in from .mixed_model import PeftMixedModel File "C:\AIGen\instant_id_v19\InstantID\venv\lib\site-packages\peft\mixed_model.py", line 29, in from .peft_model import PeftModel File "C:\AIGen\instant_id_v19\InstantID\venv\lib\site-packages\peft\peft_model.py", line 37, in from transformers import Cache, DynamicCache, EncoderDecoderCache, PreTrainedModel ImportError: cannot import name 'EncoderDecoderCache' from 'transformers' (C:\AIGen\instant_id_v19\InstantID\venv\lib\site-packages\transformers\__init__.py) The above exception was the direct cause of the following exception: Traceback (most recent call last): File "C:\AIGen\instant_id_v19\InstantID\venv\lib\site-packages\diffusers\utils\import_utils.py", line 811, in _get_module return importlib.import_module("." + module_name, self.__name__) File "C:\Python310\lib\importlib\__init__.py", line 126, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "", line 1050, in _gcd_import File "", line 1027, in _find_and_load File "", line 1006, in _find_and_load_unlocked File "", line 688, in _load_unlocked File "", line 883, in exec_module File "", line 241, in _call_with_frames_removed File "C:\AIGen\instant_id_v19\InstantID\venv\lib\site-packages\diffusers\pipelines\stable_diffusion\pipeline_stable_diffusion.py", line 24, in from ...loaders import FromSingleFileMixin, IPAdapterMixin, StableDiffusionLoraLoaderMixin, TextualInversionLoaderMixin File "", line 1075, in _handle_fromlist File "C:\AIGen\instant_id_v19\InstantID\venv\lib\site-packages\diffusers\utils\import_utils.py", line 801, in __getattr__ module = self._get_module(self._class_to_module[name]) File "C:\AIGen\instant_id_v19\InstantID\venv\lib\site-packages\diffusers\utils\import_utils.py", line 813, in _get_module raise RuntimeError( RuntimeError: Failed to import diffusers.loaders.lora_pipeline because of the following error (look up to see its traceback): cannot import name 'EncoderDecoderCache' from 'transformers' (C:\AIGen\instant_id_v19\InstantID\venv\lib\site-packages\transformers\__init__.py) The above exception was the direct cause of the following exception: Traceback (most recent call last): File "C:\AIGen\instant_id_v19\InstantID\gradio_demo\web-ui-multicontrolnet.py", line 4, in from diffusers import StableDiffusionPipeline File "", line 1075, in _handle_fromlist File "C:\AIGen\instant_id_v19\InstantID\venv\lib\site-packages\diffusers\utils\import_utils.py", line 802, in __getattr__ value = getattr(module, name) File "C:\AIGen\instant_id_v19\InstantID\venv\lib\site-packages\diffusers\utils\import_utils.py", line 802, in __getattr__ value = getattr(module, name) File "C:\AIGen\instant_id_v19\InstantID\venv\lib\site-packages\diffusers\utils\import_utils.py", line 801, in __getattr__ module = self._get_module(self._class_to_module[name]) File "C:\AIGen\instant_id_v19\InstantID\venv\lib\site-packages\diffusers\utils\import_utils.py", line 813, in _get_module raise RuntimeError( RuntimeError: Failed to import diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion because of the following error (look up to see its traceback): Failed to import diffusers.loaders.lora_pipeline because of the following error (look up to see its traceback): cannot import name 'EncoderDecoderCache' from 'transformers' (C:\AIGen\instant_id_v19\InstantID\venv\lib\site-packages\transformers\__init__.py) Press any key to continue . . .
Furkan Gözükara
dont worry it installs v22
Proulxmila
16 August 2024 Update: InstantID updated to V22 but there's download only for instant_id_v19.zip
Furkan Gözükara
Without any stable diffusion base model it takes around 13 GB
Algi
How much space does this all take? Accidetaly filled my HD first atempt to install.. would be good to write out so people know =)
Furkan Gözükara
thanks a lot will do hopefully. i am working on instantid app it will be hopefully amazing
Lou
Have you seen Krita AI? I just discovered it today. It's an open source ai plug in for Krita (a free open source photoshop type program). From the github description "Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required." It's an amazing plug in which allows real time inpainting, lora and base model support...SD or XL. ComfyUI back end. Super easy to install and use. Very robust and user friendly. It might be worth a look for a future tutorial video. https://github.com/Acly/krita-ai-diffusion
Furkan Gözükara
sadly not yet
zhou jie
can we use insitantid with inpainting?
Furkan Gözükara
try to understand how InstantId works
鸣 陈
I only saw uploaded pictures of faces and movements, but no reference to my own style.
鸣 陈
Do you mean the current one is better? I would like to ask, how can I let him refer to my style?
Furkan Gözükara
this is better than ip adapter plus. put models e.g. sdxl.safetensor under "models" folder and put loras under "loras" folder inside InstantID folder
鸣 陈
I have a few questions 1. Where should the large model be placed? I did not find the location of the large model. 2. You can add an IPAdapter_plus. I upload a picture and you can directly refer to it to learn his style.
Steve
tried running update requirements as well as update version, deleted venv reinstalled same error.
Steve
fresh install of v13: Traceback (most recent call last): File "W:\InstantIDmostnewest\InstantID\gradio_demo\web-ui-multicontrolnet.py", line 29, in from pipelines.pipeline_common import quantize_4bit File "W:\InstantIDmostnewest\InstantID\.\pipelines\pipeline_common.py", line 4, in import bitsandbytes as bnb ModuleNotFoundError: No module named 'bitsandbytes'
Furkan Gözükara
i don't have amd so can't tell :/
Stefan K
This will not work with an AMD gpu correct?
Furkan Gözükara
testing right now. there was a gradio bug maybe that is why
Stephen Yip
Installed InstantID v12 on Kaggle using the Installer. Images seems generated but not viewable in Webui. Runtime Error: no "view" mailcap rules found for type "application/octet-stream". For your kind advise Dr, Thank you! -------------------- Image 1/1 generated in 70.76 seconds. 1 images generated in 70.76 seconds, average 70.76 seconds per image. Warning: unknown mime-type for "/kaggle/working/InstantID/outputs" -- using "application/octet-stream" Error: no "view" mailcap rules found for type "application/octet-stream" /usr/bin/xdg-open: 869: www-browser: not found /usr/bin/xdg-open: 869: links2: not found /usr/bin/xdg-open: 869: elinks: not found /usr/bin/xdg-open: 869: links: not found /usr/bin/xdg-open: 869: lynx: not found /usr/bin/xdg-open: 869: w3m: not found xdg-open: no method available for opening '/kaggle/working/InstantID/outputs'
Furkan Gözükara
yes that means you installed too many models. you can use kaggle temp alternatively
Evan Helga
Last time I try at kaggle. I get error File "/opt/conda/lib/python3.10/tempfile.py", line 483, in func_wrapper return func(*args, **kwargs) OSError: [Errno 28] No space left on device
Furkan Gözükara
hello. On my todo list hopefully. I plan to save .txt file of all settings into a folder with the file name. would that work?
Hung Do
I have a problem. This works so well (fun) with styles, loras, models that after few hours of playing with a different combination, I ended up with a folder of nearly 100 images. Among them, I found a few looks that I like. So here is the problem, I can't seem to be able to to repeat the look. Can I beg for embed metadata in the PNG or an adjacent text file with same file name that show the configuration? At least which Lora(s) and Checkpoint I used. If someone come up with a different solution to log the process I am all ears.
Furkan Gözükara
hello. Hugging Face (where we store models) is in maintenance mode so currently it will not work. can you try again later please?
Evan Helga
Hello I found error, and also I dont see anything at InstantID\models\ Downloading ./models/antelopev2.zip from https://github.com/deepinsight/insightface/releases/download/v0.7/antelopev2.zip... Traceback (most recent call last): File "/kaggle/working/InstantID/gradio_demo/web-ui-multicontrolnet.py", line 85, in app = FaceAnalysis( File "/opt/conda/lib/python3.10/site-packages/insightface/app/face_analysis.py", line 27, in __init__ self.model_dir = ensure_available('models', name, root=root) File "/opt/conda/lib/python3.10/site-packages/insightface/utils/storage.py", line 28, in ensure_available return download(sub_dir, name, force=False, root=root) File "/opt/conda/lib/python3.10/site-packages/insightface/utils/storage.py", line 17, in download download_file(model_url, File "/opt/conda/lib/python3.10/site-packages/insightface/utils/download.py", line 73, in download_file raise RuntimeError("Failed downloading url %s" % url) RuntimeError: Failed downloading url https://github.com/deepinsight/insightface/releases/download/v0.7/antelopev2.zip
Furkan Gözükara
hello. it means there is still 1 error you didn't fix path. you obviously don't have /workspace. in my code I have no such hard coded path since it works both on Windows and RunPod. check your installation again. you shouldnt have any path as workspace
So Sha
I was able to install it on my ubuntu OS. but when I click on submit button I get this error: ( I haven't install it in /workspace folder ) File "/usr/lib/python3.10/os.py", line 215, in makedirs makedirs(head, exist_ok=exist_ok) File "/usr/lib/python3.10/os.py", line 215, in makedirs makedirs(head, exist_ok=exist_ok) File "/usr/lib/python3.10/os.py", line 225, in makedirs mkdir(name, mode) PermissionError: [Errno 13] Permission denied: '/workspace'
Furkan Gözükara
perfect awesome. we spent huge time to make it work
Rick B
Working great on Kaggle with notebook from 25 Feb. Using it with & without ControlNet (lowvram option). Thanks
Furkan Gözükara
hi i am going to verify and fix hopefully checking
Bartosz Polecki
Hi, im getting error with version 10: RuntimeError: "upsample_bilinear2d_out_frame" not implemented for 'BFloat16'
Furkan Gözükara
it shouldn't. to return v9 you can use git checkout 4393697028e1e779f19f23cf5cba912e2a60bd5c so open a cmd on instant id folder and do git checkout 4393697028e1e779f19f23cf5cba912e2a60bd5c can you give me more info about bf16? when do you get it?
Chris
When generating it gives an error about BF16. But only since v10. Can i download v9 or older anywhere?
Furkan Gözükara
try to install into C:\instant_id and let me know please
Mark Sutherland
I get this error with v10 \AppData\Local\Programs\Python\Python310\python.exe: can't open file 'I:\\INSTA10 LORA\\gradio_demo\\web-ui-multicontrolnet.py': [Errno 2] No such file or directory Press any key to continue . . .
Furkan Gözükara
We have different best config for both. Each model requires different config. I made 120+ training for sdxl config and 70+ training for sd 1.5 config
Furkan Gözükara
I don't suggest lora so I don't have very good config for lora. Only the config of first video I made. why i dont suggest lora you can read here : https://www.linkedin.com/posts/furkangozukara_why-i-dont-research-lora-training-because-activity-7164700874097856512--Ecj/?utm_source=share&utm_medium=member_desktop
Ec Jep
just finished TE training and honestly very close and I would choose the non TE over TE...
Hung Do
Can you upgrade the codes and add Loras? Please
Hazem
Does it work only with SDXL checkpoints ? or 1.5 checkpoints also work ?
Ec Jep
Thanks for catching the TE1 not working. I trained yesterday and didn't notice Koyha kept "text_encoder1: false" even though it had a rate. The training output was still amazing but am training again today with TE1 set to True so it will be a good comparison. BTW RealVisXL4 appears to be an improvement on realism
Furkan Gözükara
lol they deleted the file. i am going to update give me a minute
Furkan Gözükara
yes i have huge quality difference. my gradio worked many times better than controlnet in auto1111
Furkan Gözükara
wow this is so wrong. let me check
Nobodys Hero
Please select an option for VRAM usage (default 1): 1. High VRAM (Faster) 2. Low VRAM (A Little Bit Slower) - Preffered For Cards Below 16GB VRAM Enter your choice (1-2): 1 -- Please select an option for Gradio Share (default 1): 1. Without Gradio Share 2. With Gradio Share Enter your choice (1-2): 1 -- Please select an option for Precision Type (default 1): 1. With BF16 (preffered better faster choice) 2. With FP16 (only useful for old GPUs such as RTX 1080 TI) Enter your choice (1-2): 1 -- 2024-02-21 13:07:54.080108: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. WARNING:tensorflow:From E:\INSTANT_ID_V9\InstantID\venv\lib\site-packages\keras\src\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead. download_path: ./models\antelopev2 Downloading ./models\antelopev2.zip from https://github.com/deepinsight/insightface/releases/download/v0.7/antelopev2.zip... Traceback (most recent call last): File "E:\INSTANT_ID_V9\InstantID\gradio_demo\web-ui-multicontrolnet.py", line 78, in app = FaceAnalysis( File "E:\INSTANT_ID_V9\InstantID\venv\lib\site-packages\insightface\app\face_analysis.py", line 27, in __init__ self.model_dir = ensure_available('models', name, root=root) File "E:\INSTANT_ID_V9\InstantID\venv\lib\site-packages\insightface\utils\storage.py", line 28, in ensure_available return download(sub_dir, name, force=False, root=root) File "E:\INSTANT_ID_V9\InstantID\venv\lib\site-packages\insightface\utils\storage.py", line 17, in download download_file(model_url, File "E:\INSTANT_ID_V9\InstantID\venv\lib\site-packages\insightface\utils\download.py", line 73, in download_file raise RuntimeError("Failed downloading url %s" % url) RuntimeError: Failed downloading url https://github.com/deepinsight/insightface/releases/download/v0.7/antelopev2.zip Press any key to continue . . .
Dmitry
Hello, is there a difference in the quality of generation in the local instantID and instant ID in automation 1111?
sebastien laroche
Hi, i've just tested version 9 on runpod A6000, following the instructions in the readme file, but unfortunately an "out of memory" error stopped me before I could generate an image. here's the problem : torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 MiB. GPU 0 has a total capacity of 47.54 GiB of which 10.00 MiB is free. Process 239789 has 47.52 GiB memory in use. Of the allocated memory 867.36 MiB is allocated by PyTorch, and 2.64 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
Furkan Gözükara
can you message me from discord? show screenshot of your task manager of your gpu screen
Mark Sutherland
raise local protocol error too little data for declared content length likewise for h11._util.localprotocolError to little data for declared content-length
Mark Sutherland
thanks for reply. I ran that cmd, running on windows, not sure if this has anything to do with it but in the cmd bos it says
Furkan Gözükara
are you using low vram? what is your GPU? how much VRAM your computer uses before starting the APP?
Mark Sutherland
I'm run v3 v6 and it's taking well over an hour to generate one image. No idea whats going on with it,
Furkan Gözükara
i didnt are there any demo link? so far this is best i found without training
Khoa Vo
Have you tried photomaker? I wonder if it has better quality since you can put in more than one image as reference.
Furkan Gözükara
edit run_web_UI.bat and add your folder path as below --models_path "G:\automatic1111\stable-diffusion-webui\models\Stable-diffusion" with your path
Furkan Gözükara
thank you so much yes it was indeed instruction error. after you put the models you need to restart the app. but i will try to add a refresh folders button right now
Dmitry
Hello, There were 2 problems(RunPod) 1) For some reason, when I select an aspect ratio that differs from 1:1, it gives an error. It doesn't matter which input image I upload, you can only create an error-free image with a 1:1 ratio. 2) After uploading the model to the InstantID/models folder, it did not appear in the pop-up list UPD Problem 1 has been solved. If the smaller of the sides in the output image is less than 800 pixels, then there will be an error PS In the instructions of the txt file to install on the RunPod, the slash “\” was in the wrong direction (python gradio_demo\web-ui-multicontrolnet.py --share), which is why the command was not executed. I am completely zero in understanding the code, what is the problem ChatGPT helped to solve, it may be worth fixing it in the instructions
Khoa Vo
How do I get this to use my existing A1111 model folder? Also I can't even find the existing model folder it's trying to load.
Furkan Gözükara
hello. you did run low vram or high vram? can you give me context when happened exactly?
Steve Bruno
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument index in method wrapper_CUDA__index_select)
Furkan Gözükara
Hello. We are still working on improvements. But If you install windows_install.bat it won't do that. Hopefully I will update this post once we are fully moved to better version
sebastien laroche
Hello, I've just tested V2 but, unless I've made a mistake somewhere, there's a problem. Each time an image is generated, it reloads the model I'm using, which makes each image generation very long. It didn't do that with the previous version.
Furkan Gözükara
on civitAI some models require account login. so start your download on your browser, go to all downloads, copy download link, open a new cmd inside models folder and just do this wget "URL" dont forget "" - quotation marks
sebastien laroche
hello, thank you for your work. Maybe I'm bad, but I can't install models. I go to Civitai, download the chekpoints in the instantID "model" folder, but as soon as I want to use them I get errors. I'm on Runpod (usually on the 3090). my line of code for installation: wget *model address* -content-disposition. I've also tried the hugginface repo, but I don't know where to find the right links. Thanks in advance for enlightening the blind man that I must be ;)
Furkan Gözükara
great
Bartosz Polecki
Thanks Mate, everything is working great.
Furkan Gözükara
you are welcome thanks for support
OctonionPrime
Thank you very much!
Furkan Gözükara
did you install c++ tools accurately? also did you install cuda libraries? i have shown both in this video : https://youtu.be/-NjNy7afOQ0
Hassan Alhassan
RuntimeError: D:\a\_work\1\s\onnxruntime\python\onnxruntime_pybind_state.cc:857 onnxruntime::python::CreateExecutionProviderInstance CUDA_PATH is set but CUDA wasnt able to be loaded. Please install the correct version of CUDA andcuDNN as mentioned in the GPU requirements page (https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements), make sure they're in the PATH, and that your GPU is supported.
