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Feature showcase for stable-diffusion-webui
Hi, so i've been trying to get a fresh install but been running with the same issue. when running the webui-user.bat everything runs fine and then gives the issues below. any help would be appreciated.
already tried running from same drive where all dependencies are in and redownloading everything.
Installing requirements for CodeFormer
Installing requirements for Web UI
Launching Web UI with arguments:
Warning: LDSR not found at path D:[003] Downloads\Dependencies\stable-diffusion-webui\repositories\latent-diffusion\LDSR.py
Traceback (most recent call last):
File "D:[003] Downloads\Dependencies\stable-diffusion-webui\launch.py", line 139, in
start_webui()
File "D:[003] Downloads\Dependencies\stable-diffusion-webui\launch.py", line 135, in start_webui
import webui
File "D:[003] Downloads\Dependencies\stable-diffusion-webui\webui.py", line 10, in
import modules.esrgan_model as esrgan
File "D:[003] Downloads\Dependencies\stable-diffusion-webui\modules\esrgan_model.py", line 9, in
from modules import shared, modelloader, images
File "D:[003] Downloads\Dependencies\stable-diffusion-webui\modules\images.py", line 11, in
from fonts.ttf import Roboto
ImportError: cannot import name 'Roboto' from 'fonts.ttf' (D:[003] Downloads\Dependencies\stable-diffusion-webui\venv\lib\site-packages\fonts\ttf_init_.py)
Press any key to continue...
wrong repo
RuntimeError: unexpected EOF, expected 69945 more bytes. The file might be corrupted.
Feature Request: Option to include the name of the model file in the imagefile metadata - and additionally to be able to load that model (if it exists locally) when moving from PNG Info to txt2img, img2img, etc.
I sometimes have difficulty going back to work on variations of a given image because the model it was created with does not seem to be captured in the metadata when the image is created, so to move forward, I have to get the PNG info, send it to text2img, then load each one of the 8 different models I have and re-generate the image until I reproduce the original - then I can go forward with testing other seeds or CFG levels or Step levels, successful inpainting/outpainting, etc.
The Interrogate function will use a lot of video memory resources, and if the video memory is not enough and an error occurs, the video memory resources will not be released, resulting in the inability to continue to use other functions.
load checkpoint from https://storage.googleapis.com/sfr-vision-language-research/BLIP/models/model_base_caption_capfilt_large.pth
Error interrogating
Traceback (most recent call last):
File "E:\AI\AUTOMATIC_stable-diffusion-webui\modules\interrogate.py", line 134, in interrogate
artist = self.rank(image_features, ["by " + artist.name for artist in shared.artist_db.artists])[0]
File "E:\AI\AUTOMATIC_stable-diffusion-webui\modules\interrogate.py", line 93, in rank
text_features = self.clip_model.encode_text(text_tokens).type(self.dtype)
File "E:\AI\AUTOMATIC_stable-diffusion-webui\venv\lib\site-packages\clip\model.py", line 348, in encode_text
x = self.transformer(x)
File "E:\AI\AUTOMATIC_stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "E:\AI\AUTOMATIC_stable-diffusion-webui\venv\lib\site-packages\clip\model.py", line 203, in forward
return self.resblocks(x)
File "E:\AI\AUTOMATIC_stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "E:\AI\AUTOMATIC_stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\container.py", line 139, in forward
input = module(input)
File "E:\AI\AUTOMATIC_stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "E:\AI\AUTOMATIC_stable-diffusion-webui\venv\lib\site-packages\clip\model.py", line 190, in forward
x = x + self.attention(self.ln_1(x))
File "E:\AI\AUTOMATIC_stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "E:\AI\AUTOMATIC_stable-diffusion-webui\venv\lib\site-packages\clip\model.py", line 162, in forward
ret = super().forward(x.type(torch.float32))
File "E:\AI\AUTOMATIC_stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\normalization.py", line 189, in forward
return F.layer_norm(
File "E:\AI\AUTOMATIC_stable-diffusion-webui\venv\lib\site-packages\torch\nn\functional.py", line 2503, in layer_norm
return torch.layer_norm(input, normalized_shape, weight, bias, eps, torch.backends.cudnn.enabled)
RuntimeError: CUDA out of memory. Tried to allocate 690.00 MiB (GPU 0; 6.00 GiB total capacity; 4.94 GiB already allocated; 0 bytes free; 5.10 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
When drawing the mask the image seems to be off from what the mask is. In other words, the area masked is scooted and offset to the picture underneath.
I activated DPM adaptive and instantly my GPU went from 60c to 101c (It never goes past 70c normally) and literally sounded like it was about to take off. I cancelled the job instantly.
I'm getting this error when trying to produce images from tct2img.
Invalid argument: 'https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth'
I switched to GFGAN and it seems ok
When I am on the tab called Extras and try to do a resizing / face correction, I sometimes get this error even though I have dragged in an image and it shows the image in the source area:
IsADirectoryError: [Errno 21] Is a directory: '/Volumes/MegacityTwo/AutomaticSD/stable-diffusion-webui/'
I am pulling in png files to fix that I generated into a different directory outside of the program, but it's somehow getting confused or something.
I can fix it for awhile by quitting the whole program (the command line part) then restarting it and restarting the web gui but it returns.
RuntimeError: Input type (torch.FloatTensor) and weight type (torch.HalfTensor) should be the same or input should be a MKLDNN tensor and weight is a dense tensor
what to do????
RuntimeError: "LayerNormKernelImpl" not implemented for 'Half'
what to do ??
when I try to use the interrogator under img2img, it continually tries to load the BLIP model and at very slow download rate. I downloaded it in my browser, replaced the url for downloading with the local location and it still tries to download it from the web rather than referencing the local version of the file.
in the X/Y plot example grid image there is a typo in the prompt: it states "Roy Liechtestein" - which is wrong. The Pop Art artist you want to examine is called "Roy Lichtenstein"!
edit: wrong repo
Using last version. It seems that inpainting via upload mask ignores the Sampling method selected (by visual inspection I guess it is using Euler a).
EXIF data shows that the configuration of the Sampling method parameter is also not being written to the png file, for example, it reads "Steps: 29, CFG scale: 8, Seed: 7777784, Size: 512x960" when it should read (I have inpainting examples dating from Nov 9) "Steps: 29, Sampler: Euler a, CFG scale: 8, Seed: 7777784, Size: 512x960"
No errors shown when generating images, but changing Sampling method does nothing (all images are equal regardless of the Sampling method selected).
Is it possible to change the aspect ratio of the generated images? Let's say instead of 1:1, 16:9
Greetings everyone. I am Dr. Furkan Gözükara. I am an Assistant Professor in Software Engineering department of a private university (have PhD in Computer Engineering). My professional programming skill is unfortunately C# not Python :)
My linkedin : https://www.linkedin.com/in/furkangozukara
I am keeping this list up-to-date. I got upcoming new awesome video ideas. Trying to find time to do that.
Since my profession is teaching, I usually do not skip any of the important parts. Therefore, you may find my videos a little bit longer.
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Easiest Way to Install & Run Stable Diffusion Web UI on PC by Using Open Source Automatic Installer
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How to use Stable Diffusion V2.1 and Different Models in the Web UI - SD 1.5 vs 2.1 vs Anything V3
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Transform Your Sketches into Masterpieces with Stable Diffusion ControlNet AI - How To Use Tutorial
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Ultimate RunPod Tutorial For Stable Diffusion - Automatic1111 - Data Transfers, Extensions, CivitAI
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Already up to date.
venv "D:\SUPER-SD\stable-diffusion-webui\venv\Scripts\Python.exe"
Python 3.10.7 (tags/v3.10.7:6cc6b13, Sep 5 2022, 14:08:36) [MSC v.1933 64 bit (AMD64)]
Commit hash: 7edd58d90dd08f68fab5ff84d26dedd0eb85cae3
Installing requirements for Web UI
Launching Web UI with arguments: --share
Traceback (most recent call last):
File "D:\SUPER-SD\stable-diffusion-webui\launch.py", line 169, in
start_webui()
File "D:\SUPER-SD\stable-diffusion-webui\launch.py", line 164, in start_webui
webui.webui()
File "D:\SUPER-SD\stable-diffusion-webui\webui.py", line 101, in webui
demo = modules.ui.create_ui(wrap_gradio_gpu_call=wrap_gradio_gpu_call)
File "D:\SUPER-SD\stable-diffusion-webui\modules\ui.py", line 925, in create_ui
extras_upscaler_1 = gr.Radio(label='Upscaler 1', choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name, type="index")
IndexError: list index out of range
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