Configuration:

Windows 11 CPU: AMD Ryzen 5 5600X Memory: 64GB WSL2 + ubuntu 22.04.1 GPU: GeForce GTX 1660 SUPER GPU Memory: 6GB

docker run --rm -it --gpus=all nvcr.io/nvidia/k8s/cuda-sample:nbody nbody -gpu -benchmark
> Windowed mode
> Simulation data stored in video memory
> Single precision floating point simulation
> 1 Devices used for simulation
GPU Device 0: "Turing" with compute capability 7.5

> Compute 7.5 CUDA device: [NVIDIA GeForce GTX 1660 SUPER]
22528 bodies, total time for 10 iterations: 32.767 ms
= 154.884 billion interactions per second
= 3097.676 single-precision GFLOP/s at 20 flops per interaction

Error message:

sd                                    | Using seed: 922
50it [00:32,  1.56it/s]               |
sd                                    | Potential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed.
sd                                    | INFO:     172.18.0.4:36142 - "POST /predictions HTTP/1.1" 500 Internal Server Error
sd                                    | ERROR:    Exception in ASGI application
sd                                    | Traceback (most recent call last):
sd                                    |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/uvicorn/protocols/http/httptools_impl.py", line 401, in run_asgi
sd                                    |     result = await app(self.scope, self.receive, self.send)
sd                                    |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/uvicorn/middleware/proxy_headers.py", line 78, in __call__
sd                                    |     return await self.app(scope, receive, send)
sd                                    |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/fastapi/applications.py", line 269, in __call__
sd                                    |     await super().__call__(scope, receive, send)
sd                                    |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/starlette/applications.py", line 124, in __call__
sd                                    |     await self.middleware_stack(scope, receive, send)
sd                                    |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/starlette/middleware/errors.py", line 184, in __call__
sd                                    |     raise exc
sd                                    |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/starlette/middleware/errors.py", line 162, in __call__
sd                                    |     await self.app(scope, receive, _send)
sd                                    |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/starlette/exceptions.py", line 93, in __call__
sd                                    |     raise exc
sd                                    |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/starlette/exceptions.py", line 82, in __call__
sd                                    |     await self.app(scope, receive, sender)
sd                                    |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/fastapi/middleware/asyncexitstack.py", line 21, in __call__
sd                                    |     raise e
sd                                    |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/fastapi/middleware/asyncexitstack.py", line 18, in __call__
sd                                    |     await self.app(scope, receive, send)
sd                                    |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/starlette/routing.py", line 670, in __call__
sd                                    |     await route.handle(scope, receive, send)
sd                                    |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/starlette/routing.py", line 266, in handle
sd                                    |     await self.app(scope, receive, send)
sd                                    |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/starlette/routing.py", line 65, in app
sd                                    |     response = await func(request)
sd                                    |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/fastapi/routing.py", line 227, in app
sd                                    |     raw_response = await run_endpoint_function(
sd                                    |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/fastapi/routing.py", line 162, in run_endpoint_function
sd                                    |     return await run_in_threadpool(dependant.call, **values)
sd                                    |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/starlette/concurrency.py", line 41, in run_in_threadpool
sd                                    |     return await anyio.to_thread.run_sync(func, *args)
sd                                    |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/anyio/to_thread.py", line 31, in run_sync
sd                                    |     return await get_asynclib().run_sync_in_worker_thread(
sd                                    |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 937, in run_sync_in_worker_thread
sd                                    |     return await future
sd                                    |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 867, in run
sd                                    |     result = context.run(func, *args)
sd                                    |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/cog/server/http.py", line 79, in predict
sd                                    |     output = predictor.predict(**request.input.dict())
sd                                    |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
sd                                    |     return func(*args, **kwargs)
sd                                    |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/torch/amp/autocast_mode.py", line 12, in decorate_autocast
sd                                    |     return func(*args, **kwargs)
sd                                    |   File "/src/predict.py", line 113, in predict
sd                                    |     raise Exception("NSFW content detected, please try a different prompt")
sd                                    | Exception: NSFW content detected, please try a different prompt
sd-ui                                 | INFO:     172.18.0.1:34184 - "POST /image HTTP/1.1" 500 Internal Server Error

I get the error with the default prompt: "a photograph of an astronaut riding a horse" I tried with 256x256 image size, and I get the same error.

A development version of v2 is available for Windows 10/11 and Linux. Experimental support for Mac will be added soon.

The instructions for installing are at: https://github.com/cmdr2/stable-diffusion-ui/blob/v2/README.md#installation

It is not a binary, and the source code used for building this is open at https://github.com/cmdr2/stable-diffusion-ui/tree/v2

What is this?

This version is a 1-click installer. You don't need WSL or Docker or Python or anything beyond a working NVIDIA GPU with an updated driver. You don't need to use the command-line at all.

It'll download the necessary files from the original Stable Diffusion git repository, and set it up. It'll then start the browser-based interface like before.

An NSFW option is present in the interface, for those people who are unable to run their prompts without hitting the NSFW filter incorrectly.

Is it stable?

It has run successfully for a number of users, but I would love to know if it works on more computers. Please let me know if it works or fails in this thread, it'll be really helpful! Thanks :)

PS: There's a new Discord server for support and development discussions: https://discord.com/invite/u9yhsFmEkB . Please join in for faster discussion and feedback on v2.

build was successful using windows 10, docker-compose version 1.29.2, build 5becea4c

after running docker-compose up

Starting sd ... error

ERROR: for sd  Cannot start service stability-ai: failed to create shim task: OCI runtime create failed: runc create failed: unable to start container process: error during container init: error running hook #0: error running hook: signal: segmentation fault, stdout: , stderr:: unknown

ERROR: for stability-ai  Cannot start service stability-ai: failed to create shim task: OCI runtime create failed: runc create failed: unable to start container process: error during container init: error running hook #0: error running hook: signal: segmentation fault, stdout: , stderr:: unknown
ERROR: Encountered errors while bringing up the project.

I can't reach the UI after update. Port 8000 works fine, it displays the rodiet notice, but port 9000 returns nothing at all. I'm running Windows, so I was not (easily) able to execute the server file. But I opened it and executed the code below (start_server()) as a troubleshoot. Without luck though.

docker-compose up -d stable-diffusion-old-port-redirect
docker-compose up stability-ai stable-diffusion-ui

python is installed and updated and so is opencv

The following is the output:

"Ready to rock!"

started in  C:\Users\adama\Documents\stable-diffusion-ui\stable-diffusion-ui\stable-diffusion
←[32mINFO←[0m:     Started server process [←[36m16544←[0m]
←[32mINFO←[0m:     Waiting for application startup.
←[32mINFO←[0m:     Application startup complete.
←[32mINFO←[0m:     Uvicorn running on ←[1mhttp://127.0.0.1:9000←[0m (Press CTRL+C to quit)
Traceback (most recent call last):
  File "C:\Users\adama\Documents\stable-diffusion-ui\stable-diffusion-ui\stable-diffusion\..\ui\server.py", line 56, in ping
    from sd_internal import runtime
  File "C:\Users\atomica\Documents\stable-diffusion-ui\stable-diffusion-ui\stable-diffusion\..\ui\sd_internal\runtime.py", line 2, in <module>
    import cv2
ModuleNotFoundError: No module named 'cv2'

←[32mINFO←[0m:     127.0.0.1:52859 - "←[1mGET /ping HTTP/1.1←[0m" ←[32m200 OK←[0m
←[32mINFO←[0m:     127.0.0.1:52859 - "←[1mGET /ping HTTP/1.1←[0m" ←[32m200 OK←[0m
←[32mINFO←[0m:     127.0.0.1:52859 - "←[1mGET /favicon.ico HTTP/1.1←[0m" ←[31m404 Not Found←[0m
←[32mINFO←[0m:     127.0.0.1:52859 - "←[1mGET /ping HTTP/1.1←[0m" ←[32m200 OK←[0m
←[32mINFO←[0m:     127.0.0.1:52859 - "←[1mGET /ping HTTP/1.1←[0m" ←[32m200 OK←[0m
←[32mINFO←[0m:     127.0.0.1:52859 - "←[1mGET /ping HTTP/1.1←[0m" ←[32m200 OK←[0m
←[32mINFO←[0m:     127.0.0.1:52859 - "←[1mGET /ping HTTP/1.1←[0m" ←[32m200 OK←[0m
←[32mINFO←[0m:     127.0.0.1:52859 - "←[1mGET /ping HTTP/1.1←[0m" ←[32m200 OK←[0m
←[32mINFO←[0m:     127.0.0.1:52859 - "←[1mGET /ping HTTP/1.1←[0m" ←[32m200 OK←[0m

First time run of this... I have a laptop Nvidia 3060 GPU, running Ubuntu in WSL on Windows 10. I tried my first prompt from the web page but got this error below. I didn't install the Nvidia driver within Ubuntu because a) it didn't recognise my GPU and b) I had all sorts of other problems. Do I need to install the Nvidia driver within WSL, or does it use the host driver?

sd     | ERROR:    Exception in ASGI application
sd     | Traceback (most recent call last):
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/uvicorn/protocols/http/httptools_impl.py", line 401, in run_asgi
sd     |     result = await app(self.scope, self.receive, self.send)
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/uvicorn/middleware/proxy_headers.py", line 78, in __call__
sd     |     return await self.app(scope, receive, send)
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/fastapi/applications.py", line 269, in __call__
sd     |     await super().__call__(scope, receive, send)
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/starlette/applications.py", line 124, in __call__
sd     |     await self.middleware_stack(scope, receive, send)
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/starlette/middleware/errors.py", line 184, in __call__
sd     |     raise exc
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/starlette/middleware/errors.py", line 162, in __call__
sd     |     await self.app(scope, receive, _send)
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/starlette/exceptions.py", line 93, in __call__
sd     |     raise exc
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/starlette/exceptions.py", line 82, in __call__
sd     |     await self.app(scope, receive, sender)
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/fastapi/middleware/asyncexitstack.py", line 21, in __call__
sd     |     raise e
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/fastapi/middleware/asyncexitstack.py", line 18, in __call__
sd     |     await self.app(scope, receive, send)
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/starlette/routing.py", line 670, in __call__
sd     |     await route.handle(scope, receive, send)
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/starlette/routing.py", line 266, in handle
sd     |     await self.app(scope, receive, send)
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/starlette/routing.py", line 65, in app
sd     |     response = await func(request)
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/fastapi/routing.py", line 227, in app
sd-ui  | INFO:     172.18.0.1:59682 - "POST /image HTTP/1.1" 500 Internal Server Error
sd     |     raw_response = await run_endpoint_function(
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/fastapi/routing.py", line 162, in run_endpoint_function
sd     |     return await run_in_threadpool(dependant.call, **values)
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/starlette/concurrency.py", line 41, in run_in_threadpool
sd     |     return await anyio.to_thread.run_sync(func, *args)
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/anyio/to_thread.py", line 31, in run_sync
sd     |     return await get_asynclib().run_sync_in_worker_thread(
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 937, in run_sync_in_worker_thread
sd     |     return await future
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 867, in run
sd     |     result = context.run(func, *args)
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/cog/server/http.py", line 79, in predict
sd     |     output = predictor.predict(**request.input.dict())
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
sd     |     return func(*args, **kwargs)
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/torch/amp/autocast_mode.py", line 12, in decorate_autocast
sd     |     return func(*args, **kwargs)
sd     |   File "/src/predict.py", line 88, in predict
sd     |     output = self.pipe(
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
sd     |     return func(*args, **kwargs)
sd     |   File "/src/image_to_image.py", line 156, in __call__
sd     |     noise_pred = self.unet(
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
sd     |     return forward_call(*input, **kwargs)
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/diffusers/models/unet_2d_condition.py", line 168, in forward
sd     |     sample = upsample_block(
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
sd     |     return forward_call(*input, **kwargs)
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/diffusers/models/unet_blocks.py", line 1037, in forward
sd     |     hidden_states = attn(hidden_states, context=encoder_hidden_states)
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
sd     |     return forward_call(*input, **kwargs)
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/diffusers/models/attention.py", line 168, in forward
sd     |     x = block(x, context=context)
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
sd     |     return forward_call(*input, **kwargs)
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/diffusers/models/attention.py", line 196, in forward
sd     |     x = self.attn1(self.norm1(x)) + x
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
sd     |     return forward_call(*input, **kwargs)
sd     |   File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/diffusers/models/attention.py", line 254, in forward
sd     |     attn = sim.softmax(dim=-1)
sd     | RuntimeError: CUDA error: unknown error
sd     | CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
sd     | For debugging consider passing CUDA_LAUNCH_BLOCKING=1.

I tried Installing Stable Diffusion V2 on Linux Mint again & again and here's what Error I got. I'm a BIG Noob so explain like I'm Five!

Stable Diffusion UI

Stable Diffusion UI's git repository was already installed. Updating.. HEAD is now at 051ef56 Merge pull request #79 from iJacqu3s/patch-1 Already up to date. Stable Diffusion's git repository was already installed. Updating.. HEAD is now at c56b493 Merge pull request #117 from neonsecret/basujindal_attn Already up to date.

Downloading packages necessary for Stable Diffusion..

***** This will take some time (depending on the speed of the Internet connection) and may appear to be stuck, but please be patient ***** ..

WARNING: A space was detected in your requested environment path '/home/sharky/Desktop/Stable Diffusion/stable-diffusion-ui/stable-diffusion/env' Spaces in paths can sometimes be problematic. Collecting package metadata (repodata.json): done Solving environment: done Preparing transaction: done Verifying transaction: done Executing transaction: done ERROR conda.core.link:_execute(730): An error occurred while installing package 'defaults::cudatoolkit-11.3.1-h2bc3f7f_2'. Rolling back transaction: done

LinkError: post-link script failed for package defaults::cudatoolkit-11.3.1-h2bc3f7f_2 location of failed script: /home/sharky/Desktop/Stable Diffusion/stable-diffusion-ui/stable-diffusion/env/bin/.cudatoolkit-post-link.sh ==> script messages <== ==> script output <== stdout: stderr: Traceback (most recent call last): File "/home/sharky/Desktop/Stable Diffusion/stable-diffusion-ui/installer/bin/conda", line 12, in from conda.cli import main ModuleNotFoundError: No module named 'conda' Traceback (most recent call last): File "/home/sharky/Desktop/Stable Diffusion/stable-diffusion-ui/installer/bin/conda", line 12, in from conda.cli import main ModuleNotFoundError: No module named 'conda' /home/sharky/Desktop/Stable Diffusion/stable-diffusion-ui/stable-diffusion/env/bin/.cudatoolkit-post-link.sh: line 3: $PREFIX/.messages.txt: ambiguous redirect

return code: 1

()

Error installing the packages necessary for Stable Diffusion. Please try re-running this installer. If it doesn't work, please copy the messages in this window, and ask the community at https://discord.com/invite/u9yhsFmEkB or file an issue at https://github.com/cmdr2/stable-diffusion-ui/issues

Hope this helps someone!

I installed and ran v2 on Windows using Start Stable Diffusion UI.cmd, and encountered an error running the server:

started in  C:\Users\myuser\stable-diffusion-ui\stable-diffusion-ui\stable-diffusion
←[32mINFO←[0m:     Started server process [←[36m12336←[0m]
←[32mINFO←[0m:     Waiting for application startup.
←[32mINFO←[0m:     Application startup complete.
←[32mINFO←[0m:     Uvicorn running on ←[1mhttp://127.0.0.1:9000←[0m (Press CTRL+C to quit)
←[32mINFO←[0m:     127.0.0.1:51205 - "←[1mGET / HTTP/1.1←[0m" ←[32m200 OK←[0m
←[32mINFO←[0m:     127.0.0.1:51205 - "←[1mGET /modifiers.json HTTP/1.1←[0m" ←[32m200 OK←[0m
←[32mINFO←[0m:     127.0.0.1:51205 - "←[1mGET /output_dir HTTP/1.1←[0m" ←[32m200 OK←[0m
Traceback (most recent call last):
  File "C:\Users\myuser\stable-diffusion-ui\stable-diffusion-ui\stable-diffusion\..\ui\server.py", line 63, in ping
    from sd_internal import runtime
  File "C:\Users\myuser\stable-diffusion-ui\stable-diffusion-ui\stable-diffusion\..\ui\sd_internal\runtime.py", line 2, in <module>
    import torch
ModuleNotFoundError: No module named 'torch'

←[32mINFO←[0m:     127.0.0.1:51205 - "←[1mGET /ping HTTP/1.1←[0m" ←[32m200 OK←[0m
←[32mINFO←[0m:     127.0.0.1:51205 - "←[1mGET /ping HTTP/1.1←[0m" ←[32m200 OK←[0m
←[32mINFO←[0m:     127.0.0.1:51205 - "←[1mGET /ping HTTP/1.1←[0m" ←[32m200 OK←[0m

Is anyone else getting this?

I am not familiar with shell script, but I think line 10 in server did not run. I can run docker-compose up stability-ai stable-diffusion-ui in console manually.

File "D:\stable-diffusion-ui\ui\server.py", line 144, in getAppConfig with open(config_json_path, 'r') as f: FileNotFoundError: [Errno 2] No such file or directory: 'D:\stable-diffusion-ui\ui\..\scripts\config.json'

I've had some troubles executing server.sh in WSL, it said something about no permission even with sudo, but with some chmod magic I got that working eventually. After executing it, docker showed that it is using port 5000 instead of 8000 like shown in the Tutorial.

When opening localhost:5000 in a browser, all the site contains is

{"docs_url":"/docs","openapi_url":"/openapi.json"}

Add a config.bat/sh setting FORCE_SAVE_PATH that can be used by server admins to restrict auto save to a specific directory. Also useful for users who use different end devices and want to centrally configure the auto save option. If FORCE_SAVE_PATH is set, the auto save options in the UI are disabled.

Fixes #597 Fixes https://discord.com/channels/1014774730907209781/1052691036981428255

Error_Trying_Merge_Models.txt

Hello folks!

Trying the feature for merging models as described in "What's new section" of Easy Diffusion, I always get the error "positional argument follows keyword argument", as attached in this message.

Any help would be priceless...

Thanks a lot...

Vincent

Describe the bug When you click 'Stop' button, it doesn't stop right away, instead it tries to finish the current task. I am using CPU mode (AMD card on Ubuntu)

To Reproduce Steps to reproduce the behaviour:

1. Start generating some image
2. You can hear processor fan is spinning up right away
3. Click 'Stop' button
4. It takes about a minute to stop fan from spinning

Expected behaviour I would expect to task stopped right away

Desktop (please complete the following information):

• OS: Ubuntu 22.04
• Browser: Firefox
• Version: 108.0.1 (64-bit)

Describe the bug The new release stops updating preview images. When I am generating large images with img2img, e.g. 1024 x 1536 it displays first image and then it doesn't add new ones. The batch displays 3 of 10, but in the preview - only 1 image. It auto-saves images into the specified folder though. I am using CPU mode.

To Reproduce Steps to reproduce the behavior:

1. select large image e.g. 1024 x 1536
2. enter prompt
3. number of images: 10
4. Inference Steps: 30
5. w: 1024 h: 1536
6. click Enqueue next 10 images
7. wait

Behavior It displays 1st image and then nothing changes any more

Expected behavior It should display 2st, 3rd, ... and 10th image as well

Desktop (please complete the following information):

• OS: Ubuntu 22.04
• Browser: Firefox
• Version: 108.0.1 (64-bit)