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 !

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.