Since I use that path , I agree with the speed bumps ppl rip it hard on that and it does make it hairy for walkers, etc
I’ve never seen wheelchairs there before. There is a 3% incline there. So I wouldn’t expect many to use it anyways because of that
Speed bumps to slow down traffic. Some ppl are too aggressive and rip up and down this path
Oh ok. Fair enough. I love the soup and stuff but I can swap noodles for something else if I can
Tropic Thunder Airplane Naked Gun series
A bunch more. It’s the “old school humor” that is the super funny but cannot be used today
I just finished season 1 and haven’t started season 2 yet. But I’ll take your warning of season 2 into consideration
If you get a new iPhone, you can migrate all your data from your old phone to your new phone
I have both and only use the firestick to watch YouTube because I side loaded a YouTube client that blocks ads
I see it on mobile too. But if you have a “reader” mode, use that, and the full article will show
Very encouraging. I am the same. Infrastructure tech here learning my first language
thanks for this one too. this place comes up in my search results when I am looking for code examples. I will add this to the list too. will prob use a lot of these resources to supplement. like if I don't exercise a concept from 1 resource, I will try all the other resources to see if they explain it better.
good tip about ppl wanting to answer questions. I will join some place after I get my feet wet
I will seek out this guy. initially I wanted to post on the reddit sub but decided to start here first, glad I started here first.
this one looks good too. are you starting from scratch or do you have existing programming background?
this looks good. I will do this one first and prob use YouTube and other resources from this thread to supplement as well. then move on to Javascript from this same place. thanks!
great begnner resouces to learn Python?
Hi,
Does Anyone have any great resources to learn python for a non-programmer? Youtube? Free online courses, etc?
Im starting out and there is a lot out there. They all look good too.
So far, i got python installed lol.
Thanks,
Edit: thanks everyone. I have some homework to do and check out all the resources !
Yes, I confirmed it by running "python" in a terminal window and I am in the python prompt.
in the web gui, I should be able to generate something or throw an error right? or do all the options need to be filled out before the Generate button works?
the Generate button doesn't work, how can I troubleshoot this?
Hi,
I am trying to get SD to work but the generate button doesn't work and I can't seem to see any error messages in the log. how can I troubleshoot this?
from console: `venv "Z:\GitHub\stable-diffusion-webui\venv\Scripts\Python.exe" Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] Version: v1.4.1 Commit hash: f865d3e11647dfd6c7b2cdf90dde24680e58acd8 Installing requirements Launching Web UI with arguments: No module 'xformers'. Proceeding without it. Loading weights [1204c73d72] from \\10.0.2.10\Home Share\GitHub\stable-diffusion-webui\models\Stable-diffusion\lazymix_v11.safetensors preload_extensions_git_metadata for 7 extensions took 0.00s Creating model from config: \\10.0.2.10\Home Share\GitHub\stable-diffusion-webui\configs\v1-inference.yaml LatentDiffusion: Running in eps-prediction mode DiffusionWrapper has 859.52 M params. Running on local URL: http://127.0.0.1:7860
To create a public link, set share=True in launch().
Startup time: 97.3s (import torch: 27.1s, import gradio: 11.8s, import ldm: 5.5s, other imports: 17.3s, setup codeformer: 0.8s, list SD models: 1.2s, load scripts: 28.3s, load upscalers: 0.3s, initialize extra networks: 0.3s, create ui: 2.9s, gradio launch: 1.6s).
Calculating sha256 for \\10.0.2.10\Home Share\GitHub\stable-diffusion-webui\models\Stable-diffusion\v1-5-pruned.ckpt: e1441589a6f3c5a53f5f54d0975a18a7feb7cdf0b0dee276dfc3331ae376a053
Loading weights [e1441589a6] from \\10.0.2.10\Home Share\GitHub\stable-diffusion-webui\models\Stable-diffusion\v1-5-pruned.ckpt
Creating model from config: \\10.0.2.10\Home Share\GitHub\stable-diffusion-webui\configs\v1-inference.yaml
LatentDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.52 M params.
Applying attention optimization: Doggettx... done.
Textual inversion embeddings loaded(0):
Model loaded in 79.4s (load config: 0.1s, create model: 8.3s, apply weights to model: 54.7s, apply half(): 13.3s, move model to device: 0.9s, hijack: 0.2s, load textual inversion embeddings: 0.6s, calculate empty prompt: 1.0s).
Applying attention optimization: Doggettx... done.
Model loaded in 274.8s (load weights from disk: 4.2s, create model: 0.7s, apply weights to model: 222.5s, apply half(): 46.4s, move model to device: 0.7s).
Loading weights [eb4099ba9c] from \\10.0.2.10\Home Share\GitHub\stable-diffusion-webui\models\Stable-diffusion\abyssorangemix3AOM3_aom3a3.safetensors
Applying attention optimization: Doggettx... done.
Weights loaded in 40.7s (load weights from disk: 2.9s, apply weights to model: 37.2s, move model to device: 0.5s).
Loading weights [e1441589a6] from \\10.0.2.10\Home Share\GitHub\stable-diffusion-webui\models\Stable-diffusion\v1-5-pruned.ckpt
Applying attention optimization: Doggettx... done.
Weights loaded in 84.2s (load weights from disk: 74.4s, apply weights to model: 7.3s, apply half(): 0.1s, apply dtype to VAE: 0.1s, load VAE: 0.4s, hijack: 0.7s, move model to device: 1.2s).`
Thanks,
edit: if there is a better place to post this, I will move this post over too.
Hey , my bad. The pwa improvement are coming to macOS safari and not the mobile safari. I thought there were improvements on mobile safari too but nope.