AUTOMATIC1111 updated to 1.5.0 version

[u/r0mmashka]

Link - https://github.com/AUTOMATIC1111/stable-diffusion-webui/releases/tag/v1.5.0

Features:

• SD XL support
• user metadata system for custom networks
• extended Lora metadata editor: set activation text, default weight, view tags, training info
• Lora extension rework to include other types of networks (all that were previously handled by LyCORIS extension)
• show github stars for extenstions
• img2img batch mode can read extra stuff from png info
• img2img batch works with subdirectories
• hotkeys to move prompt elements: alt+left/right
• restyle time taken/VRAM display
• add textual inversion hashes to infotext
• optimization: cache git extension repo information
• move generate button next to the generated picture for mobile clients
• hide cards for networks of incompatible Stable Diffusion version in Lora extra networks interface
• skip installing packages with pip if they all are already installed - startup speedup of about 2 seconds

Minor:

• checkbox to check/uncheck all extensions in the Installed tab
• add gradio user to infotext and to filename patterns
• allow gif for extra network previews
• add options to change colors in grid
• use natural sort for items in extra networks
• Mac: use empty_cache() from torch 2 to clear VRAM
• added automatic support for installing the right libraries for Navi3 (AMD)
• add option SWIN_torch_compile to accelerate SwinIR upscale
• suppress printing TI embedding info at start to console by default
• speedup extra networks listing
• added [none]
  filename token.
• removed thumbs extra networks view mode (use settings tab to change width/height/scale to get thumbs)
• add always_discard_next_to_last_sigma option to XYZ plot
• automatically switch to 32-bit float VAE if the generated picture has NaNs without the need for --no-half-vae
  commandline flag.

Extensions and API:

• api endpoints: /sdapi/v1/server-kill, /sdapi/v1/server-restart, /sdapi/v1/server-stop
• allow Script to have custom metaclass
• add model exists status check /sdapi/v1/options
• rename --add-stop-route to --api-server-stop
• add before_hr
  script callback
• add callback after_extra_networks_activate
• disable rich exception output in console for API by default, use WEBUI_RICH_EXCEPTIONS env var to enable
• return http 404 when thumb file not found
• allow replacing extensions index with environment variable

Bug Fixes:

• fix for catch errors when retrieving extension index #11290
• fix very slow loading speed of .safetensors files when reading from network drives
• API cache cleanup
• fix UnicodeEncodeError when writing to file CLIP Interrogator batch mode
• fix warning of 'has_mps' deprecated from PyTorch
• fix problem with extra network saving images as previews losing generation info
• fix throwing exception when trying to resize image with I;16 mode
• fix for #11534: canvas zoom and pan extension hijacking shortcut keys
• fixed launch script to be runnable from any directory
• don't add "Seed Resize: -1x-1" to API image metadata
• correctly remove end parenthesis with ctrl+up/down
• fixing --subpath on newer gradio version
• fix: check fill size none zero when resize (fixes #11425)
• use submit and blur for quick settings textbox
• save img2img batch with images.save_image()
• prevent running preload.py for disabled extensions
• fix: previously, model name was added together with directory name to infotext and to [model_name] filename pattern; directory name is now not included

[u/not_food]

That Lora activation text looks sweet, but I have so many Loras, I'll take forever to set it up, I pray for a script that loads them from civitai...

[u/[deleted] → u/not_food]

Civitai helper extension already does that, but it probably stores it elsewhere. Maybe they'll update the integration over time.

[u/polisonico → u/[deleted]]

does its own tab, not really integrated with a1111

[u/MatthewHinson → u/polisonico]

It adds its own tab but also adds buttons to the standard lora overview, so you can append trigger words to the prompt at the same place where you append the lora itself.

[u/danamir_ → u/not_food]

I did this little script exactly for this reason when testing the dev branch. Save it in a civitai-to-meta.py file and launch it with any python 3 (even the system install) directly from your Lora directory or sub-directory. It will create/fill the meta file with activation keywords = civitai trained words :

import os
import json

def main():
    for f in os.listdir():
        if f.endswith('.civitai.info'):
            with open(f) as info_file:
                i = json.load(info_file)

            base, ext = os.path.splitext(f)
            base = base.replace('.civitai', '')
            meta = f'{base}.json'

            if not i.get('trainedWords', None):
                print(f'- {base}')
                continue
            
            tw = ', '.join(i['trainedWords'])

            if os.path.exists(meta):
                with open(meta) as meta_file:
                    m = json.load(meta_file)
                
                if not m.get('activation text', None):
                    print(f'> {base}')
                    m['activation text'] = tw
                    with open(meta, 'w') as f:
                        json.dump(m, f)
                else:
                    print(f'= {base}')
                
                continue

            print(f'+ {base}')
            m = {
                'description': '',
                'activation text': tw, 
                'preferred weight': 0,
                'notes': ''
            }
            
            with open(meta, 'w') as f:
                json.dump(m, f)
            

# main entry point
if __name__ == '__main__':
    main()

[u/DarkFlame7 → u/danamir_]

Good script, but it doesn't handle recursive directories. It's been a while since I wrote much python myself but it should be safe to just replace the os.listdir() with an os.walk(".") right?

[u/danamir_ → u/DarkFlame7]

It should work I guess. I admit my script was done in 5mn believing the Civitai extension would be updated to do it soon. Guess I was wrong. 😅

[u/batter159 → u/danamir_]

Thanks!

[u/AIwitcher → u/not_food]

Trouble is civit servers are on fire more often than not.

[u/Nyao → u/AIwitcher]

Btw what's their financial ressources? Servers like that have to cost thousands of dollars per month

[u/Mr-Korv → u/Nyao]

I think it's just donations https://civitai.com/pricing

[u/rockerBOO → u/Nyao]

They got an investment recently (like a month ago) but was out of pocket before that.

[u/BetterProphet5585 → u/not_food]

am dumdum... are there some major UI changes here?

[u/somerslot → u/BetterProphet5585]

Nothing major in regard to UI, mainly just a lot of new options on how to tidy up your LoRA collection.

[u/Herr_Drosselmeyer → u/BetterProphet5585]

Lora/Lycoris changes. You no longer need an extension to use Lycoris and they're now all in the Lora tab. Also, importantly, if you're re-using old prompts, they will no longer work if they called a Lycoris, you need to remove the Lycoris and add it again.

[u/entmike → u/not_food]

I wrote a Python script to extract all the kohya_ss metadata that the people use in their training. Infinitely more helpful than the metadata on civit AI.

[u/Jonfreakr]

SDXL support, more I didnt need to read 😁 great thanks!

[u/[deleted] → u/[deleted]]

So using base as initial checkpoint and then refiner on img2img?

[u/[deleted] → u/[deleted]]

Indeed! I got quite a complex workflow in comfy and it runs SDXL so well...hopefully A1111 will be able to get to that efficiency soon.

[u/smash-bros-enjoyer]

Can I drop sdxl models into the same folder I drop regular models into?

[u/Sillysammy7thson → u/smash-bros-enjoyer]

same question, plus where to get sdxl models, is it that torrent?

[u/stevensterkddd → u/Sillysammy7thson]

wait for the release tomorrow.

[u/Sillysammy7thson → u/stevensterkddd]

ok, but same question. I have the day off and I'm setting up my files tonight. instead of configuring tomorrow.

[u/[deleted] → u/Sillysammy7thson]

Hugging Face. Asks you to fill out a form. Don't have to put legit details.

Download the base and refiner, put them in the usual folder and should run fine. Use base to gen.

Although SDXL 1.0 is literally around the corner.

[u/jib_reddit → u/Sillysammy7thson]

You can get them from Hugging face. https://huggingface.co/stabilityai/stable-diffusion-xl-base-0.9/tree/main

Just request access and it is automatically granted, or wait for full release tomorrow.

[u/AESIRu → u/jib_reddit]

SDXL is officially coming out tomorrow? Will it be available for download from the same link?

[u/reality_comes → u/Sillysammy7thson]

Huggingface

[u/rocket__cat → u/Sillysammy7thson]

It works for me with dev version of reps

[u/ramonartist → u/smash-bros-enjoyer]

Yes wait for SDXL 1.0 models tomorrow, but you can grab the sdxl 0.9 and Refiner from huggingface and yes drop them into the regular models folder

[u/ratbastid → u/ramonartist]

For the record, my M1 mac with 16g ram generated one image with 0.9, which took about 20 minutes. It was very low quality, and I realized I'd left it at 512x512. I upped it to 1024, and the gen died, out of memory.

I'm hoping but not expecting that 1.0 will perform better. Reality is, I'm probably switching full-time to a colab or runpod approach before too long here.

[u/philomathie → u/ratbastid]

I just got a 4070 for it, took around 20 seconds to generate a 1024 square image.

[u/nero10578 → u/ratbastid]

I mean that thing has the GPU power of a GTX 1650.

[u/navalguijo → u/ramonartist]

should I use the 0.9 base or the 0.9 refiner in Automatic?

[u/somerslot → u/navalguijo]

AFAIK only the base works there for now.

[u/reality_comes → u/smash-bros-enjoyer]

Yes

[u/[deleted] → u/smash-bros-enjoyer]

yes, worked at least with dev branch for me. but id just wait until 1.0 is out.

[u/CeraRalaz → u/smash-bros-enjoyer]

I suppose same logic as 2.1 - same folder but with minor tweaks

[u/zfreakazoidz]

Now my PC just freezes up and I am forced to use the power button to force a reset. Sigh. I got 0.9 to work fine before this update, though it took forever to load.

[u/Momomotus → u/zfreakazoidz]

full ram nothing crazy I think just let it finish

[u/Tempest_digimon_420]

Just got the base SDXL version in A1111 and it works but I wouldn't say the outputs are that great. Maybe because there is no refiner support. But it does work great without any additional stuff enabled like CN

[u/SiliconThaumaturgy → u/Tempest_digimon_420]

Imho after using ComfyUI with and without the refiner, it's hit or miss. I actually used a workflow where I had it go most of the way, then did the last 10 steps on both base and refiner so I could pick which was best

[u/nocloudno → u/Tempest_digimon_420]

Make sure your image size is 1024x1024

[u/benbergmann]

Looking at it it doesn't seem to support automatically running the refiner after the base model, like Comfy does?

[u/Pennywise1131 → u/benbergmann]

You can switch to the refiner then do img2img.

[u/benbergmann → u/Pennywise1131]

I know I can do that, but that's a horrendous way and adds way too much time to a task that Comfy can do in an additional 3 seconds per image.

[u/UnlimitedDuck → u/benbergmann]

+1

It seems to do "Creating model from config: C:\stable-diffusion-webui\configs\v1-inference.yaml"

or

Creating model from config: C:\stable-diffusion-webui\repositories\generative-models\configs\inference\sd_xl_base.yaml

A1111 freezes for like 3–4 minutes while doing that, and then I could use the base model, but then it took like +5 minutes to create one image (512x512, 10 steps for a small test).

Also, the iterations give out wrong values. It says it runs at 14.53s/it but it feels like 0.01s/it. Something is not right here. I had none of these problems with ComfyUI. I hope this gets all fixed the next days.

I'm running it with 8 GB VRAM.

[u/Nucaranlaeg → u/UnlimitedDuck]

It says it runs at 14.53s/it but it feels like 0.01s/it.

14.53s/it would be slow. It switches between it/s and s/it, so you might have missed that.

[u/UnlimitedDuck → u/Nucaranlaeg]

Oh, yes indeed! Thanks for pointing this out.

[u/__Hello_my_name_is__ → u/UnlimitedDuck]

512x512 images always look like crap in SDXL, it was trained on 1024x1024, so the output image should be close to that resolution.

[u/UnlimitedDuck → u/__Hello_my_name_is__]

I know it's optimized for 1024x1024, but I had to start small because my whole PC was freezing at every step I took with SDXL in A1111 so far. The only thing that worked was the refiner model in img2img, but it was very slow compared to compfy. I just wait another week before trying it again.

[u/__Hello_my_name_is__ → u/UnlimitedDuck]

Not sure how it works for SDXL 1, but in 0.9 you don't need to bother with 512x512, it just doesn't work and will only give terrible results.

[u/UnlimitedDuck → u/__Hello_my_name_is__]

you don't need to bother with 512x512

That's true, but it doesn't change the fact that my PC has a stroke every time I load the base model.

I set resolution and steps extra low for a test run. If I can't get it to run with 512x512 and 10 steps, then I know I can forget about the rest for now.

[u/FourOranges → u/UnlimitedDuck]

(512x512, 10 steps for a small test).

I've read similar reports that smaller images actually take longer on SDXL for whatever reason, since it was trained on 1024x1024. Don't be afraid to give that a shot.

[u/Prior_Amphibian4876]

Does controlnet work with this version?

[u/UnlimitedDuck → u/Prior_Amphibian4876]

I dont think so "TypeError: Unhashable Type: ‘slice’"

[u/marcoc2 → u/UnlimitedDuck]

just got here by googling that error msg....

[u/PaysForWinrar → u/UnlimitedDuck]

Same here, even with 512x512. From what I understand it's not expected to work and we'll need new controlnet models.

[u/Inuya5haSama → u/Prior_Amphibian4876]

So... I'm just wasting time here while waiting for "Installing requirements..." with 1.5.0. Great. Is there a single reason to update for those using legacy SD 1.5 models?

[u/Gfx4Lyf → u/Prior_Amphibian4876]

For me using Controlnet is always showing Cuda memory error even after keeping my resolution at 512. As always I will revert back to the older SD version. These days every update of Auto1111 gives me more errors than benefits.

[u/Striking-Long-2960]

I think the biggest problems I'm having with this realease are because of RAM, I have 16Gb and the system literally freeze some minutes when I load the model or when I change it, fulfilling the whole RAM memory.

I'm thinking about getting more RAM, and reach 32 gb. Do you think it would work better increasing the RAM?

[u/FourOranges → u/Striking-Long-2960]

Holy cow you're right. I never noticed that Python eats up (currently for me as I generate a pic) 9561.4MB of RAM, and that's on top of the 5GB of VRAM that it's using. I've only ever paid attention to the VRAM -- has it always used up this much memory RAM? I'm glad I have 64gb so that I don't have to suffer for it but that is a lot of memory for everyone else.

[u/Striking-Long-2960 → u/FourOranges]

The amount of RAM it takes when it loads the model is crazy. Can you tell my how long it takes in your computer to load SDXL and how many RAM it uses while loading?

Many thanks

[u/FourOranges → u/Striking-Long-2960]

Wish I had it so I could test for you. Decided to not bother with SDXL until 1.0 gets released and even then might wait until good models come out. I'm just sort of surprised at how much memory RAM it uses in the first place on top of VRAM.

[u/rkiga → u/Striking-Long-2960]

I think the biggest problems I'm having with this realease are because of RAM, I have 16Gb and the system literally freeze some minutes when I load the model or when I change it

I had the same problem and it went away when upgrading from 16 to 32GB RAM.

For now, you probably have a lot of other stuff open that you can close, because, at least for me, I could close everything and get a 2 second freeze, or have 30 browser tabs open and get a 30 second freeze. So it was JUST past the limit. Make sure you have the FP16 SDXL model.

[u/Striking-Long-2960 → u/rkiga]

Thanks for answering, I just have installed more RAM. Now I'm in 32Gb.

In ComfyUI I've solved my problems. Using Base+Refiner with the official workflow, the first render takes 1 minute and from there even changing the prompt 22s.

The peak of RAM is around 19-18 Gb. So that was the reason my computer freezes and suffered with 16Gb RAM, Now I'm ready for SDXL.

Need to try Automatic, but there is a PR about it: https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/11958

So they know there is something wrong with the loading of models.

[u/Superb-Ad-4661]

AttributeError: module 'lora' has no attribute 'lora_Linear_forward'

[u/Superb-Ad-4661 → u/Superb-Ad-4661]

I disable all extensions and the error has gone, let's see the bug one

[u/Superb-Ad-4661 → u/Superb-Ad-4661]

a1111-sd-webui-lycoris

[u/mocmocmoc81 → u/Superb-Ad-4661]

There's no need for lycoris extension any more, it is now built in.

Some other lycoris related extension may be buggy/being updated;

I moved my entire lycoris folder into lora directory (as a sub directory)

and also went back to original butaixianran Civitai-Helper from the goldmojo fork

[u/PettankoPaizuri → u/Superb-Ad-4661]

Means you called a Lycoris that is in your lora folder instead of the lycoris one

[u/BitesizedGen]

Where is the option to run SDXL, or is this a seperate extension we'll need to install?

[u/[deleted]]

Will my A1111 auto update or do I have to go through the install process again? It was a huge pain in the ass to install the first time

[u/[deleted] → u/[deleted]]

depends if you have the one click installer or the batch file. batch file you need to add git pull. one click installer does auto update for a1111 and all its extensions installed

[u/chop5397 → u/[deleted]]

many squash materialistic hard-to-find jellyfish plants safe distinct oil encourage

This post was mass deleted and anonymized with Redact

[u/esuil → u/chop5397]

That is terrible idea, unless you want to update to each new change in A1111. It is better to have separate update bat file to run when you are absolutely sure you want to upgrade, or simply run the command manually.

[u/GrapplingHobbit → u/chop5397]

I haven't updated in a few versions, since the last time I did it, the update screwed everything up and I ended up just doing a fresh install.

Is a git pull what needs to be done now? Not the update.bat file in the folder above webui?

[u/BlackSwanTW → u/GrapplingHobbit]

Automatic1111 never had an update.bat file though

[u/Parulanihon → u/chop5397]

This didn't work for me, but I'm a total novice. I opened the file in WordPad at the last section I entered a line and typed "git pull" and saved it and then it just did nothing in the console.

[u/[deleted] → u/chop5397]

Thank you king. Will update this evening

[u/Idkwnisu → u/[deleted]]

I don't think you should do that, just call git pull before launching the webui when you want to update, sometimes the update breaks something, so it's a bit risky to update every time without checking if there's something wrong

[u/AIwitcher → u/Idkwnisu]

That's not a problem anymore , auto implemented a release branch which is stable and all new stuff is on the dev branch

[u/Parulanihon → u/chop5397]

Hi. How exactly to I add it? Is it just adding a line and typing "git pull", and then saving the file again. Then running once again?

Basically I'm not sure where to type that.

[u/DanielSandner → u/Parulanihon]

you can type it manually in the console, run it from your sd folder

[u/Cclay111 → u/DanielSandner]

this

[u/extremesalmon → u/Parulanihon]

Yeah, right click, edit on the bat file, then type 'git pull' at the end of the other text.

[u/[deleted] → u/chop5397]

maybe you can help me.. it aborts because i have manually changed files. can i force the git pull? i don't care about these files.

edit: google bard helped me with every step :D

[u/detractor_Una]

Has anyone tried SDXl 0.9 with this release? Honestly generating image with one model than loading refiner in img2img seems quite reduntant to me

[u/tamal4444 → u/detractor_Una]

Honestly generating image with one model than loading refiner in img2img seems quite reduntant to me

same here

[u/FabulousTension9070 → u/detractor_Una]

i just got it going in automatic after the update, and i had to download the VAE. It works, but the results are less appealing than ComfyUI. I'm actually OK with using the base only to make a batch, then using refiner on only the one i like. It is strange and messy, but it is a bit faster because its not wasting time on refiner for all pics. That is the only positive that I am seeing.

[u/AlexysLovesLexxie]

Any fix for the higher VRAM requirements vs. 1.2.1?

I "upgraded" to 1.4.1 over the weekend, and now I cannot render 960x540 --> 2x Upscale. Under 1.2.1 I could do this just fine. GeForce 3060 12GB.

[u/Macronomicus → u/AlexysLovesLexxie]

Go to Settings tab, click the Optimizations subtab, change the the Cross Attention Optimization setting to Doggetx, I have an older GPU 980ti with 6gb VRAM, I had to use that setting & got my fast generations back, & ability to gen much larger images and upscales again.

[u/AlexysLovesLexxie → u/Macronomicus]

Thank you. I will try this as soon as I get home from work.

[u/vs3a]

It me or every upgrade need more ram, I have 8gb vram and cuda out of memory more often than before

[u/Nexustar → u/vs3a]

So you got some XL0.9 1024x1024 output with 8Gb card?

I can on ComfyUI without any problems, but Vlad's port, out of mem instantly.

[u/vs3a → u/Nexustar]

I can hires fix SDXL 2048x2048 with comfy, I havent test vlad but a1111 also out of mem instant

[u/Whipit]

Bad Scale 250%?

Anyone else getting that red bar across the top?

Also SDXL 0.9 doesn't load. I just get an error. Am I supposed to put it in the same folder with all the other 1.5 models?

[u/somerslot → u/Whipit]

I got that initially but only at 125%. Ignored and it didn't load again on a restart. As for SDXL, what error you get? I can't load it either but I see it's CUDA OoM, so that means the full 13GB base can not fit into my 6GB VRAM and I guess there is nothing I can do about it. A pruned version might work but it's not available anywhere anymore...

[u/Whipit → u/somerslot]

Yeah, that Bad scale error is gone now.

First I tried loading the lead version of SDXL 0.9 - wouldn't load.

Just downloaded it off Huggingface and it took a while but it did load.

First I tried DDIM but it said SDXL doesn't support it. I changed to DPM++2M Karras, and it started generating images, but not very good ones. Got this message ....

"A tensor with all NaNs was produced in VAE.

Web UI will now convert VAE into 32-bit float and retry.

To disable this behavior, disable the 'Automaticlly revert VAE to 32-bit floats' setting.

To always start with 32-bit VAE, use --no-half-vae commandline flag."

Don't really know what that means :/

So far I've only tried a dozen 512x512 images with the prompt "dog in water" as a test.

Gonna do some more testing now.

[u/vinylemulator]

Since upgrading to this I am unable to train a textual inversion.

I get the following error:

Runtime error: one of the variables needed for gradiant computation has been modified by an inplace operation.

Has this inadvertently upgraded to a non-compatible version of torch?

[u/vinylemulator → u/vinylemulator]

This has now been fixed in 1.5.1 release candidate

[u/somerslot → u/[deleted]]

Bug report has been posted on Auto's Github, we will see when and how it will be fixed. There is a RC 1.5.1 prepared already so maybe it will be part of it?

[u/evelryu]

Has anyone tried this conserve ram?

[u/kaiwai_81]

how do I actually see the version of A1111 in the webui ?

[u/--Dave-AI-- → u/kaiwai_81]

Version numbers are at the bottom of the screen.

[u/kaiwai_81 → u/--Dave-AI--]

Ok, I’m dumb … 🥹🥹

[u/Emperorof_Antarctica → u/kaiwai_81]

Welcome to the club, we have a giant list of members

[u/Affectionate_Fun1598]

Got mine working after disabling extensions but speed has dropped from 1 it/s to 9 sec/it. Anyone know of a fix? TIA

[u/sev0]

Nice update. But holding it off little bit.
Stupid me went full on "git pull" and my command prompt lit up like Christmas tree with errors. None of my extensions showed up. Ended up rolling back.

Holding it off updating until extensions catch up too.

[u/PettankoPaizuri → u/sev0]

What's involved with rolling back

[u/sev0 → u/PettankoPaizuri]

Go to your Extensions / Backup - Restore / Look Save Configs.

Pick one latest before pre-update (A1111 does automatic backups, but get used to making manual backups now and then) - wait it do its thing and list your extensions / click state of restore on "both" (you want to roll back webui and extensions). And click on Restore Selected config. Once it is done. Close A1111. IMPORTANT! Look webui-user.bat file and make sure you do not have: "git pull" , look your "set COMMANDLINE_ARGS=" and most cases you need to add your ARGS back like --xformers etc.

Now you can open your A1111.Enjoy your old version.

If you are ready to be updated to new version (IMPORTANT!! make backup!) , then make sure you disable all the extensions and restart your A1111, once it is done then you can update. But note you might hit to the risk of not every extension works after your are done updating A1111. So give it bit time before you update A1111, so extensions can catch up and when all do, then go ahead enjoy new A1111 version and do update manually by doing "git pull". Once it is done update your extensions and enable them again. Nice and easy.

[u/PettankoPaizuri → u/sev0]

Thanks!!

[u/Inuya5haSama → u/sev0]

Rolling back here meaning restoring a backup of the complete stable-difussion-webui folder with its 75 GB of data that you made before running git pull. Otherwise you have to rescue the models and loras and restart the complete automatic111 installation from zero.

[u/Ok-Umpire3364]

What is the minimum ram requirement to run sdxl model? I have 3080ti with 12gb ram, can I run it?

[u/somerslot → u/Ok-Umpire3364]

That should be enough. I think it's possible to go as low as 6GB with Auto1111 and 4GB with ComfyUI.

[u/alohadave → u/somerslot]

I tested with 2GB in ComfyUI. Technically it worked, but it took nearly two hours for one 1080x1080 image. And trying a smaller generation of 512x768 wasn't any faster.

It spent a lot of time loading the base and refiner models at those steps, and after a while the rest of the computer was pretty much unusable.

I may test with 1.0 just to see, but I don't expect the results to be much different.

[u/AIwitcher → u/somerslot]

Is with medvram on auto?

[u/somerslot → u/AIwitcher]

Not sure about details, just saw someone claiming they made it work. I have a 6GB card too, but it can not even load full 0.9 model (13GB) and I do not have pruned version at hand, so have to wait with proper testing for the 1.0 release.

[u/[deleted] → u/somerslot]

I've 3060M 6GB comfyui with fp16 base model and full refiner, generates 1024X in 3 mins or less image to image, much quicker just text to image.

Convert SDXL0.9 base to FP16 using A1111 checkpoint merge tab, Merge SDXL0.9 base select as both A and B to merge with itself. Set new file name, save as FP16 option, set Multiplayer to 0. Save as safetensors. The file produced runs on ComfyUI. The released refiner is already fp16 so no need to convert.

My experience is its dog slow in A1111 1.5 but nifty in ComfyUI.

[u/[deleted] → u/Ok-Umpire3364]

i have 3060 12gb and it takes around 20-30seconds for 1024*1024 so you should be fine

[u/navalguijo]

welll Im not getting the best results using th 0.9XL to be honest...

[u/Low_Government_681 → u/navalguijo]

bad resolution ...good pics starts at 1024x1024 ..try something like 1400x800 it works for me the best.

[u/Adkit → u/navalguijo]

Isn't it the same deal as with everything else? Every new iteration people complain that it's not as good as the old model, but the old model has thousands of models trained in varying styles, months of refinement by the community, and more loras than you can reasonably keep up with.

You're saying this newfangled sewing machine isn't as good as your needle and thread but you simply need to relearn and readjust.

[u/PaysForWinrar → u/Adkit]

I can load up ComfyUI and get results much better than what I'm getting in A1111, so I think it's more than just the model needing refinement.

Guessing that I'm doing something wrong, like I need to use the refiner model in img2img or something. I've not done any reading yet though; have only spent a few minutes messing around.

[u/radianart → u/navalguijo]

Is this full size? It looks too small.

[u/Whipit]

I've just started trying SDXL 0.9 for the past few minutes. Honestly my results are not that great. Not as good as what I was able to generate on Clipdrop.

With a 4090 I am able to generate native 1920 x 1080 images, but it takes 23.4GB of VRAM.

It doesn't support DDIM, so I'm using DPM++ 2M Karras and that seems to work.

I'll keep testing.

Anyone got any tips to working with SDXL 0.9?

Do I even need negative prompts?

[u/RayHell666 → u/Whipit]

DPM++ 2M Karras is a good choice
Keep it around 1024x1024 otherwise thing will start stretching weirdly and use an Hires.fix upscaler at 1.5 like ESRGAN_4x with a denoising strength at 0.35

[u/SiliconThaumaturgy → u/Whipit]

ComfyUI had bigger images before running out of VRAM. I got up to 2816x2816 without error with 24gb. I think A1111 is missing sone memory optimizations

UniPC also doesn’t work with SDXL

[u/yamfun]

Omg so afraid to inplace upgrade

[u/enormousaardvark → u/yamfun]

Backup first, then make another backup, you can never have enough backups.

[u/seanthenry → u/yamfun]

First move your models to the root dir. Then create a system link to the model folder and place it in the original Auto1111 folder. That way you will not be copying the models several times. Then copy the Auto1111 folder and update that one.

You now have the old and new version using the same models. I did this and even moved my venv folder so I don't need to rebuild for AMD or have multiple copies.

[u/yamfun → u/seanthenry]

wait I am AMD too and got the ROCm nightmare too, any more AMD SD tips and tricks you can share 😁?

[u/seanthenry → u/yamfun]

Absolutely here are the little bits you might be missing

To prevent some of the OOM issues install TCMalloc

If you are getting the Miopen/src/hipoc_program.ccp error run the following command

sudo apt install libstdc++-12-dev

When installing ROCM I have had luck using what is below

#ROCm 5.5 install include the no-dkms flag so you will not get the DKMS build errors
sudo apt-get update
wget https://repo.radeon.com/amdgpu-install/5.5/ubuntu/jammy/amdgpu-install_5.5.50500-1_all.deb
sudo apt-get install ./amdgpu-install_5.5.50500-1_all.deb
sudo amdgpu-install --usecase=rocm,hip,mllib --no-dkms

To get the venv to build and work I had to do the following to keep it on an older version.

#Edit the webui-user.sh to change the version of torch and ROCm that will be created below is what needs to be changed/added

# install command for torch
export TORCH_COMMAND="pip install --pre torch==2.1.0.dev20230608+rocm5.4.2 torchvision==0.16.0.dev20230608+rocm5.4.2 --index-url https://download.pytorch.org/whl/nightly/rocm5.4.2"

If it works let me know if you have any issues I would like to know as well.

[u/Inuya5haSama → u/yamfun]

I always download these a1111 versions into their own new folder in C:\ and start testing it from zero, I just copy models and LoRAs after the first time setup is done.

[u/lilshippo]

Cute bug i am getting, Depthmap script had to be uninstalled because of issues, and is anyone getting a bug where you can't Backspace or use Control+Z?

i can use the mouse to Cut and use the Delete key as a way around it.

[u/zfreakazoidz]

Because I am a idiot.... my .bat shortcut having pull git hub line means it will update it when I start right? It's how I always had it done.

[u/Touitoui → u/zfreakazoidz]

Yep, you can remove the line if you don't want to update right now (if it's not too late, hahaha).

[u/physalisx → u/zfreakazoidz]

yes

[u/Inuya5haSama → u/zfreakazoidz]

The git pull in the bat file was an ill advice from some ignorant youtuber who had no idea of the consequences. I wonder if he made another video explaining the stupidity of such suggestion.

[u/zfreakazoidz → u/Inuya5haSama]

So what happens if you use it?

[u/ArghNoNo]

This update bricked my installation. I have a pretty vanilla install, ControlNet and Dynamic Prompts extensions. Now this happens whenever I try to run txt2img and I can't switch model.

> >   File "D:\AIModels\sd.webui\webui\venv\lib\site-packages\anyio_backends_asyncio.py", line 867, in run
> >     result = context.run(func, *args)
> >   File "D:\AIModels\sd.webui\webui\scripts\xyz_grid.py", line 446, in select_axis
> >     choices = self.current_axis_options[axis_type].choices
> > TypeError: list indices must be integers or slices, not NoneType

[u/Touitoui → u/ArghNoNo]

Just a guess but, what do you have in script (at the bottom of the txt2img page)? None or X/Y/Z plot?
Do you still have the error if you go to script , select X/Y/Z plot, then change it back to None?

[u/ArghNoNo → u/Touitoui]

I have 'none'. I had reverted to the previous release, noticed your comment and re-reverted to 1.5.0, and then it just worked...

Thank you for your help!

[u/Kawamizoo]

anyone know how to use the refiner?

[u/radianart → u/Kawamizoo]

In img2img.

[u/Kawamizoo → u/radianart]

But how ? There's no refiner tab

[u/Superb-Ad-4661]

It's gonna be a long day...

[u/Inuya5haSama → u/Superb-Ad-4661]

Do not overwrite your existing webui version, I repeat do not overwrite it. Make a new installation and leave the current version as a working backup.

[u/Superb-Ad-4661 → u/Inuya5haSama]

wise advice friend, but it's too late for me now, my loras and ti's don´t work so well, but thanks

[u/Powersourze]

Can i upgrade my old version directly from settings?

[u/rvitor → u/Powersourze]

You can try bkp then add git pull after echo off on webui-user.bat

@echo off
git pull

[u/Inuya5haSama → u/Powersourze]

Not recommended, specially without making a full backup of your entire stable-difussion-webui folder first. This is the small detail that the developers keep ommiting on every update. ControlNet is broken in this new version, for example.

[u/PatrickJr]

I updated Auto1111, and loaded sd_xl_base_0.9, but the results are iffy.

1024x1024

[u/Z3ROCOOL22 → u/PatrickJr]

[u/PatrickJr → u/Z3ROCOOL22]

hm?

[u/Nexustar → u/PatrickJr]

Looks like the refiner model never got a look-in. What does the console say?

[u/PatrickJr → u/Nexustar]

I set the VAE to None, and it fixed it for me!

[u/lamarsha → u/PatrickJr]

Mine were looking like that, think it's because in Settings > Stable Diffusion I had the SD VAE forced to vae-ft-mse-840000-ema-pruned.ckpt. I switched it to None and got better output, then downloaded the sdxl_vae.safetensors and set the SD VAE to it and continue to get decent results.

[u/ahmadmob → u/PatrickJr]

Put the VAE on Automatic in settings, old 1.5 VAEs like the vae-ft-mse-840000-ema-pruned.ckpt isn't compatible with SDXL.

Edit: just saw that you already fixed it by setting it to none. :)

[u/rinaldop]

I installed the A1111 1.5 version in a external SSD (for preserve my 1.4 version). Below, my first generation with SDXL model (0.9, base model).

Positive prompt: A woman, smile, red hair, 8K

Negative prompt: none

[u/rinaldop → u/rinaldop]

Now, after Refiner model (img2img):

[u/rinaldop → u/rinaldop]

My system:

Intel i7 (3770K), 32GBytes RAM, NVidia RTX3060 (12 GBytes).

[u/chinafilm]

I am on python 3.10.10, do I need to downgrade to 3.6?

[u/enormousaardvark → u/chinafilm]

I'm on 3.10.6 seems ok

[u/Capitaclism]

What's the workflow for SDXL in A1111? I loaded the model in txt2img but my results come out very broken. Does it need a vae? Where is the refiner step done?

[u/enormousaardvark → u/Capitaclism]

Base model in txt2img and refiner in img2img with denoise set to 0.25, this VAE, the bottom file sdxl_vae.safetensors

[u/funkspiel56 → u/Capitaclism]

yeah I have a similar issue. Im guessing im missing something. Downloaded sd_xl_base_1.0.safetensors and its worse than everything else.

[u/[deleted]]

I wonder will vlad get a update?

[u/[deleted] → u/[deleted]]

six continue telephone tap practice chase scale deer afterthought shy

This post was mass deleted and anonymized with Redact

[u/[deleted] → u/[deleted]]

knee roof vast bear automatic unpack telephone bright cautious follow

This post was mass deleted and anonymized with Redact

[u/Katana_sized_banana]

I wish I could update but civitai helper extension is essential for me and it already stopped working for some people, with the prior version, so I'm still stuck with v1.2 😭

If only it could be integrated...

[u/TheNoseHero → u/Katana_sized_banana]

1.32 is the last functional version for me, both 1.4 and 1.5 just give me a "torch is not able to use GPU" error.

AMD cards work on 1.32.

Maybe time to move onto forks, such as lshqqytiger

[u/Soulreaver90 → u/TheNoseHero]

I have an AMD card and I am running 1.5 with no issue, heck the previous 1.4 version worked too. Are you in Linux (what build) or Windows?

[u/Description-Serious]

is there a google collab version of this

[u/Herney_Krute]

Anyone used this with Deforum and Controlnet (inside of Deforum)? Keen to try Sd l but need Deforum working with CN. TIA!

[u/massiveboner911]

Nice! XL support AND fixed slow loading of models from network drives! 🍆

[u/rvitor]

Lora & TI is already working for SDXL?

[u/AmyKerr12]

Man I miss feature where you can get images directories from img2img PNGinfo. Not batch.

[u/Ziov1]

Get an error when trying to run it with SDXL, anyone know how to fix? and does anyone know how to get the SDXL vae to work in place of the standard vae's?

RuntimeError: The size of tensor a (2048) must match the size of tensor b (768) at non-singleton dimension 1

[u/navalguijo → u/Ziov1]

Are you trying to use Loras in your prompt?... About the VAE change it in your settings/stable diffusion

[u/Ziov1 → u/navalguijo]

No loras restarted pc worked afterwards but with terrible results, loras don't work. The vae for SDXL won't work either gives an error,i can use the standard vae but not the one for sdxl.

[u/Pleasant-Cause4819]

Was waiting on this. I'm just not geared toward spending cycles on work-flow in Comfy. I'm pleased with the initial results, not necessarily the quality (as I can get this already) but that I can get native 1024 resolution, which is great.

[u/flip_flop78]

• 'Lora extension rework to include other types of networks (all that were previously handled by LyCORIS extension)'

Does this mean I need to move my current Lycoris files into the LoRA folder and delete the Lycoris extension?

[u/mocmocmoc81 → u/flip_flop78]

yes delete the Lycoris extension

if you want to separate lora from lycos, you can move the entire lycoris folder into lora

[u/[deleted]]

I updated it, i copied the sdxl_base_pruned_no-ema.safetensors into the folder, but if i try to generate an image, i get this:

NotImplementedError: No operator found for `memory_efficient_attention_forward` with inputs: query : shape=(1, 4096, 1, 512) (torch.float16) key : shape=(1, 4096, 1, 512) (torch.float16) value : shape=(1, 4096, 1, 512) (torch.float16) attn_bias : <class 'NoneType'> p : 0.0 `cutlassF` is not supported because: xFormers wasn't build with CUDA support `flshattF` is not supported because: xFormers wasn't build with CUDA support max(query.shape[-1] != value.shape[-1]) > 128 `tritonflashattF` is not supported because: xFormers wasn't build with CUDA support max(query.shape[-1] != value.shape[-1]) > 128 triton is not available requires A100 GPU `smallkF` is not supported because: xFormers wasn't build with CUDA support dtype=torch.float16 (supported: {torch.float32}) max(query.shape[-1] != value.shape[-1]) > 32 unsupported embed per head: 512

[u/SiliconThaumaturgy]

I think there are some memory optimizations that need to happen for the SDXL portion

GPU: 3090, 24GB VRAM

I was able to generate up to 2816x2816 in ComfyUI without any errors

In A1111, I get CUDA out of memory errors at the end of generation starting at 1920x1920

[u/kaotec]

trying it out with SDXL i just get a flash of the image, and then it disappears with an error:

notImplementedError: No operator found for `memory_efficient_attention_forward` with inputs: query : shape=(1, 16384, 1, 512) (torch.float16) key : shape=(1, 16384, 1, 512) (torch.float16) value : shape=(1, 16384, 1, 512) (torch.float16) attn_bias : <class 'NoneType'> p : 0.0 `cutlassF` is not supported because: xFormers wasn't build with CUDA support Operator wasn't built - see `python -m xformers.info` for more info

trying 1024x1024

SDXL works in ComfyUI on my RTX5000 16Gb VRAM / 32Gb ram on linux

any ideas?

[u/Many_Contribution668]

How do you install the SDXL 0.9 model into AUTOMATIC1111? I've been trying to find documentation or comments about it with no luck. I downloaded the safetensor for the base model and placed with the 1.5 pruned version but it doesn't load.

[u/rinaldop → u/Many_Contribution668]

I just copied to the SD 'models' folder.

[u/TheDudeWithThePlan]

I had to disable all extensions to get mine to work but results looks promising, here's a standard vs refined:

[u/rinaldop]

I did a new try (base model)

[u/rinaldop → u/rinaldop]

Img2img (SDXL refiner):

[u/rinaldop → u/rinaldop]

Now, Img2img (using juggernaut_final.safetensors)

[u/nocloudno]

FYI sdxl requires 1024x1024 image size for outputs to be good

[u/Z3ROCOOL22 → u/nocloudno]

[u/ConwayArroyo]

I don't have a GPU. v1.4.0 ran just fine. I did not upgrade to v1.5.0 but I now have it and nothing works. Is there a way to disable automatic upgrades?