#lang plait ; Hash tables for character mappings (define ascii1 (make-hash (list (pair #\A 0) (pair #\B 1) (pair #\C 2) (pair #\D 3) (pair #\E 4) (pair #\F 5) (pair #\G 6) (pair #\H 7) (pair #\I 8) (pair #\J 9) (pair #\K 10) (pair #\L 11) (pair #\M 12) (pair #\N 13) (pair #\O 14) (pair #\P 15) (pair #\Q 16) (pair #\R 17) (pair #\S 18) (pair #\T 19) (pair #\U 20) (pair #\V 21) (pair #\W 22) (pair #\X 23) (pair #\Y 24) (pair #\Z 25) (pair #\a 26) (pair #\b 27) (pair #\c 28) (pair #\d 29) (pair #\e 30) (pair #\f 31) (pair #\g 32) (pair #\h 33) (pair #\i 34) (pair #\j 35) (pair #\k 36) (pair #\l 37) (pair #\m 38) (pair #\n 39) (pair #\o 40) (pair #\p 41) (pair #\q 42) (pair #\r 43) (pair #\s 44) (pair #\t 45) (pair #\u 46) (pair #\v 47) (pair #\w 48) (pair #\x 49) (pair #\y 50) (pair #\z 51)))) (define ascii2 (make-hash (list (pair 0 #\A) (pair 1 #\B) (pair 2 #\C) (pair 3 #\D) (pair 4 #\E) (pair 5 #\F) (pair 6 #\G) (pair 7 #\H) (pair 8 #\I) (pair 9 #\J) (pair 10 #\K) (pair 11 #\L) (pair 12 #\M) (pair 13 #\N) (pair 14 #\O) (pair 15 #\P) (pair 16 #\Q) (pair 17 #\R) (pair 18 #\S) (pair 19 #\T) (pair 20 #\U) (pair 21 #\V) (pair 22 #\W) (pair 23 #\X) (pair 24 #\Y) (pair 25 #\Z) (pair 26 #\a) (pair 27 #\b) (pair 28 #\c) (pair 29 #\d) (pair 30 #\e) (pair 31 #\f) (pair 32 #\g) (pair 33 #\h) (pair 34 #\i) (pair 35 #\j) (pair 36 #\k) (pair 37 #\l) (pair 38 #\m) (pair 39 #\n) (pair 40 #\o) (pair 41 #\p) (pair 42 #\q) (pair 43 #\r) (pair 44 #\s) (pair 45 #\t) (pair 46 #\u) (pair 47 #\v) (pair 48 #\w) (pair 49 #\x) (pair 50 #\y) (pair 51 #\z)))) ; Switch function to convert characters based on a given number (define (switch n c) (let ([maybe-x (hash-ref ascii1 c)]) (if (none? maybe-x) c (let ([x (some-v maybe-x)]) (some-v (hash-ref ascii2 (if (< x 26) (modulo (+ n x) 26) (+ 26 (modulo (+ n x) 26))))))))) ; Unswitch function to reverse the character conversion (define (unswitch n c) (let ([maybe-x (hash-ref ascii1 c)]) (if (none? maybe-x) c (let ([x (some-v maybe-x)]) (some-v (hash-ref ascii2 (if (< x 26) (modulo (- x n) 26) (+ 26 (modulo (- x n) 26))))))))) ; Define the Exp type for encrypt and decrypt cases (define-type Exp [encrypt (n : Number) (l : (Listof Char))] [decrypt (n : Number) (l : (Listof Char))]) ; Calculate function to process the Exp type (define (calc e) (type-case Exp e [(encrypt n l) (list->string (foldr (lambda (x y) (cons (switch n x) y)) empty l))] [(decrypt n l) (list->string (foldr (lambda (x y) (cons (unswitch n x) y)) empty l))])) ; Parse function to validate and convert the input s-expression (define (parse s) (if (s-exp-list? s) (let ([lst (s-exp->list s)]) (cond [(and (= 3 (length lst)) (symbol=? 'e (s-exp->symbol (first lst))) (s-exp-number? (second lst)) (s-exp-string? (third lst))) (encrypt (s-exp->number (second lst)) (string->list (s-exp- >string (third lst))))] [(and (= 3 (length lst)) (symbol=? 'd (s-exp->symbol (first lst))) (s-exp-number? (second lst)) (s-exp-string? (third lst))) (decrypt (s-exp->number (second lst)) (string->list (s-exp- >string (third lst))))] [else (error 'parse "Input should be in the format: ([e d] [integer] [string])")])) (error 'parse "Input should be an s-expression list"))) ; Run function to integrate all parts (run : (S-Exp -> String)) (define (run s) (calc (parse s))) 

Hello everybody! I am trying out the WebUI Forge app on my Macbook Air M1 16GB, and after installing following the instructions, adding a model and some LoRas, and generating image, I am getting processing times up to 60min! Is this normal? Am I missing something in the installation process that may affect this long times?
Attaching logs:
 USERNAME@HOME      stable-diffusion-webui-forge  main  ./webui.sh
################################################################
Install script for stable-diffusion + Web UI
Tested on Debian 11 (Bullseye), Fedora 34+ and openSUSE Leap 15.4 or newer.
################################################################
################################################################
Running on USERNAME user
################################################################
################################################################
Repo already cloned, using it as install directory
################################################################
################################################################
Create and activate python venv
################################################################
################################################################
Launching launch.py...
################################################################
Python 3.10.14 (main, Mar 19 2024, 21:46:16) [Clang 15.0.0 (clang-1500.3.9.4)]
Version: f0.0.17v1.8.0rc-latest-276-g29be1da7
Commit hash: 29be1da7cf2b5dccfc70fbdd33eb35c56a31ffb7
Legacy Preprocessor init warning: Unable to install insightface automatically. Please try run \pip install insightface` manually.`
Launching Web UI with arguments: --skip-torch-cuda-test --upcast-sampling --no-half-vae --use-cpu interrogate
Total VRAM 16384 MB, total RAM 16384 MB
Set vram state to: SHARED
Device: mps
VAE dtype: torch.float32
CUDA Stream Activated: False
Warning: caught exception 'Torch not compiled with CUDA enabled', memory monitor disabled
Using sub quadratic optimization for cross attention, if you have memory or speed issues try using: --attention-split
==============================================================================
You are running torch 2.1.0.
The program is tested to work with torch 2.1.2.
To reinstall the desired version, run with commandline flag --reinstall-torch.
Beware that this will cause a lot of large files to be downloaded, as well as
there are reports of issues with training tab on the latest version.
Use --skip-version-check commandline argument to disable this check.
==============================================================================
ControlNet preprocessor location: /Users/USERNAME/Projects/stable-diffusion-webui-forge/models/ControlNetPreprocessor
Loading weights [67ab2fd8ec] from /Users/USERNAME/Projects/stable-diffusion-webui-forge/models/Stable-diffusion/ponyDiffusionV6XL_v6StartWithThisOne.safetensors
2024-05-16 08:24:35,896 - ControlNet - INFO - ControlNet UI callback registered.
Running on local URL: http://127.0.0.1:7860
To create a public link, set \share=True` in `launch()`.`
model_type EPS
UNet ADM Dimension 2816
Startup time: 10.9s (prepare environment: 0.6s, import torch: 3.4s, import gradio: 1.2s, setup paths: 1.3s, other imports: 1.6s, load scripts: 1.3s, create ui: 0.6s, gradio launch: 0.7s).
Using split attention in VAE
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
Using split attention in VAE
extra {'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids', 'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_l.logit_scale'}
Loading VAE weights specified in settings: /Users/USERNAME/Projects/stable-diffusion-webui-forge/models/VAE/xlVAEC_f1.safetensors
To load target model SDXLClipModel
Begin to load 1 model
Moving model(s) has taken 0.01 seconds
Model loaded in 18.9s (load weights from disk: 0.9s, forge load real models: 15.0s, load VAE: 0.5s, calculate empty prompt: 2.4s).
[LORA] Loaded /Users/USERNAME/Projects/stable-diffusion-webui-forge/models/Lora/add-detail-xl.safetensors for SDXL-UNet with 722 keys at weight 1.0 (skipped 0 keys)
[LORA] Loaded /Users/USERNAME/Projects/stable-diffusion-webui-forge/models/Lora/add-detail-xl.safetensors for SDXL-CLIP with 264 keys at weight 1.0 (skipped 0 keys)
[LORA] Loaded /Users/USERNAME/Projects/stable-diffusion-webui-forge/models/Lora/Concept Art Twilight Style SDXL_LoRA_Pony Diffusion V6 XL.safetensors for SDXL-UNet with 722 keys at weight 1.0 (skipped 0 keys)
[LORA] Loaded /Users/USERNAME/Projects/stable-diffusion-webui-forge/models/Lora/Concept Art Twilight Style SDXL_LoRA_Pony Diffusion V6 XL.safetensors for SDXL-CLIP with 264 keys at weight 1.0 (skipped 0 keys)
[LORA] Loaded /Users/USERNAME/Projects/stable-diffusion-webui-forge/models/Lora/Expressive_H-000001.safetensors for SDXL-UNet with 722 keys at weight 0.8 (skipped 0 keys)
[LORA] Loaded /Users/USERNAME/Projects/stable-diffusion-webui-forge/models/Lora/Expressive_H-000001.safetensors for SDXL-CLIP with 264 keys at weight 0.8 (skipped 0 keys)
[LORA] Loaded /Users/USERNAME/Projects/stable-diffusion-webui-forge/models/Lora/Kenva.safetensors for SDXL-UNet with 722 keys at weight 0.7 (skipped 0 keys)
[LORA] Loaded /Users/USERNAME/Projects/stable-diffusion-webui-forge/models/Lora/Kenva.safetensors for SDXL-CLIP with 264 keys at weight 0.7 (skipped 0 keys)
[LORA] Loaded /Users/USERNAME/Projects/stable-diffusion-webui-forge/models/Lora/sinfully_stylish_SDXL.safetensors for SDXL-UNet with 722 keys at weight 1.0 (skipped 0 keys)
[LORA] Loaded /Users/USERNAME/Projects/stable-diffusion-webui-forge/models/Lora/sinfully_stylish_SDXL.safetensors for SDXL-CLIP with 264 keys at weight 1.0 (skipped 0 keys)
[LORA] Loaded /Users/USERNAME/Projects/stable-diffusion-webui-forge/models/Lora/xl_more_art-full_v1.safetensors for SDXL-UNet with 788 keys at weight 0.7 (skipped 0 keys)
To load target model SDXLClipModel
Begin to load 1 model
Reuse 1 loaded models
Moving model(s) has taken 5.69 seconds
To load target model SDXL
Begin to load 1 model
Moving model(s) has taken 63.00 seconds
40%█████████████████▌ 8/20 [12:13<18:19, 91.65s/it]
To load target model AutoencoderKL 8/25 [13:31<29:04, 102.60s/it]
Begin to load 1 model
Moving model(s) has taken 2.36 seconds
Total progress: 32%████████▋ 8/25 [13:43<29:10, 102.97s/it]
Total progress: 32%████████▋ 8/25 [13:43<29:04, 102.60s/it]

I’m trying to solve the heat equation for the Ohmic heating of a pipe flow using the MATLAB pdepe solver. The problem is described in the following paper: https://doi.org/10.4236/ojmsi.2021.91002. This paper also contains the solution for the axial bulk temperature profile. Unfortunately, I don't find the same solution, and I wonder if anyone could help me find the error.
The simplified heat equation for this case becomes:
𝜌𝐶𝑝𝑣𝑧∂𝑇∂𝑧=𝑘𝑟∂∂𝑟(𝑟∂𝑇∂𝑟)+𝑄̂. 𝑄̂=𝜎𝐸2 is the heat source due to the Ohmic heating (this is also defined in the paper). 𝑣𝑧=2𝑉𝑎𝑣𝑔(1−(𝑥𝐷/2)2) is the classical solution for the axial velocity of the fluid in the pipe.
Please find the values of the constants in the code below.
The boundary conditions are:
𝑇(𝑧=0,𝑟)=40°𝐶,
∂𝑇∂𝑟𝑧,𝑟(=0)=0,
−𝑘∂𝑇∂𝑟𝑧,𝑟(=𝐷/2)=ℎ(𝑇(𝑧,𝑟=𝐷/2)−𝑇∞).
Please find my Matlab code below. Note that in order to be able to use the Matlab pdepe solver, the time argument in the solver corresponds with the axial coordinate 𝑧. Another important remark is that I want to solve it with the option 𝑚=0.
Any help/comments/remarks will be greatly appreciated. Thanks in advance!

%% Main code m=0; r=linspace(0,0.025,1000); % m r corresponds with x z=linspace(0,2.5,1000); % m z corresponds with t sol=pdepe(m,@pdex1pde,@ic1pde,@bc1pde,r,z); u=sol(:,:,1); % u=T % Figure I'm trying to recreate figure plot(z,u(:,1)) title('Axial bulk temperature distribution') xlabel('z') ylabel('T(z,r=0)') %% Functions % Definition of the PDE function [c,f,s]=pdex1pde(x,t,u,DuDx) % Parameters T_0=40; %°C k=0.6178; % W/m*°C rho=992.2; % kg/m^3 C_p=4182; % J/kg*°C m=82.5/3600; % kg/s R=25*10^(-3); % m D=50*10^(-3); % m A=pi*R^2; % m^2 V_gem=m/(rho*A); % kg m k_0=0.015; % 1/°C^3 /s elec_cond=0.998*(1+k_0*(u-T_0)); % S/m v_z=2*V_gem*(1-(x^2/(D/2)^2)); % kg m^3 /s Volt=2304; % V L=2.5; % m Q=(elec_cond*(Volt/L)^2)*x/k); c=(rho*C_p*v_z*x/k); f=x*DuDx; s=Q; end % "Initial" condition function u0=ic1pde(x) u0=40; end % Boundary conditions function [pl,ql,pr,qr]= bc1pde(xl,ul,xr,ur,t) % Parameters T_amb=20; % °C T_0=40; % °C h=10; % W/m^2*°C k=0.6178; % W/m*°C pl=0; % left is ul=0 ql=1; % p+qf=0 pr=h*(ur-T_amb); qr=k/xr; end 

These are the steps I followed to install the program

1. Download and install Python (I am sure I have activated the add python to path option)
2. Download and install Git
3. Download and install stable diffusion through CMD (this is the Github link: https://github.com/AUTOMATIC1111/stable-diffusion-webui )

but when I try running webui-user.bat, I get the following error:

venv "D:\Stable Diffusion\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: v1.9.3 Commit hash: 1c0a0c4c26f78c32095ebc7f8af82f5c04fca8c0 Traceback (most recent call last): File "D:\Stable Diffusion\stable-diffusion-webui\launch.py", line 48, in  main() File "D:\Stable Diffusion\stable-diffusion-webui\launch.py", line 39, in main prepare_environment() File "D:\Stable Diffusion\stable-diffusion-webui\modules\launch_utils.py", line 386, in prepare_environment raise RuntimeError( RuntimeError: Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check Press any key to continue . . . 

Solution methods that I tried but did not work

01.- I tried to edit the code in the webui-user.bat file to:

u/echo off set PYTHON= set GIT= set VENV_DIR= set COMMANDLINE_ARGS= --skip-torch-cuda-test to COMMANDLINE_ARGS call webui.bat 

but after that I got the following error

venv "D:\Stable Diffusion\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: v1.9.3 Commit hash: 1c0a0c4c26f78c32095ebc7f8af82f5c04fca8c0 Installing clip Installing open_clip Installing requirements Launching Web UI with arguments: --skip-torch-cuda-test to COMMANDLINE_ARGS D:\Stable Diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\cuda\__init__.py:740: UserWarning: CUDA initialization: The NVIDIA driver on your system is too old (found version 11010). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver. (Triggered internally at ..\c10\cuda\CUDAFunctions.cpp:108.) return torch._C._cuda_getDeviceCount() if nvml_count < 0 else nvml_count no module 'xformers'. Processing without... no module 'xformers'. Processing without... usage: launch.py [-h] [--update-all-extensions] [--skip-python-version-check] [--skip-torch-cuda-test] [--reinstall-xformers] [--reinstall-torch] [--update-check] [--test-server] [--log-startup] [--skip-prepare-environment] [--skip-install] [--dump-sysinfo] [--loglevel LOGLEVEL] [--do-not-download-clip] [--data-dir DATA_DIR] [--config CONFIG] [--ckpt CKPT] [--ckpt-dir CKPT_DIR] [--vae-dir VAE_DIR] [--gfpgan-dir GFPGAN_DIR] [--gfpgan-model GFPGAN_MODEL] [--no-half] [--no-half-vae] [--no-progressbar-hiding] [--max-batch-count MAX_BATCH_COUNT] [--embeddings-dir EMBEDDINGS_DIR] [--textual-inversion-templates-dir TEXTUAL_INVERSION_TEMPLATES_DIR] [--hypernetwork-dir HYPERNETWORK_DIR] [--localizations-dir LOCALIZATIONS_DIR] [--allow-code] [--medvram] [--medvram-sdxl] [--lowvram] [--lowram] [--always-batch-cond-uncond] [--unload-gfpgan] [--precision {full,autocast}] [--upcast-sampling] [--share] [--ngrok NGROK] [--ngrok-region NGROK_REGION] [--ngrok-options NGROK_OPTIONS] [--enable-insecure-extension-access] [--codeformer-models-path CODEFORMER_MODELS_PATH] [--gfpgan-models-path GFPGAN_MODELS_PATH] [--esrgan-models-path ESRGAN_MODELS_PATH] [--bsrgan-models-path BSRGAN_MODELS_PATH] [--realesrgan-models-path REALESRGAN_MODELS_PATH] [--dat-models-path DAT_MODELS_PATH] [--clip-models-path CLIP_MODELS_PATH] [--xformers] [--force-enable-xformers] [--xformers-flash-attention] [--deepdanbooru] [--opt-split-attention] [--opt-sub-quad-attention] [--sub-quad-q-chunk-size SUB_QUAD_Q_CHUNK_SIZE] [--sub-quad-kv-chunk-size SUB_QUAD_KV_CHUNK_SIZE] [--sub-quad-chunk-threshold SUB_QUAD_CHUNK_THRESHOLD] [--opt-split-attention-invokeai] [--opt-split-attention-v1] [--opt-sdp-attention] [--opt-sdp-no-mem-attention] [--disable-opt-split-attention] [--disable-nan-check] [--use-cpu USE_CPU [USE_CPU ...]] [--use-ipex] [--disable-model-loading-ram-optimization] [--listen] [--port PORT] [--show-negative-prompt] [--ui-config-file UI_CONFIG_FILE] [--hide-ui-dir-config] [--freeze-settings] [--freeze-settings-in-sections FREEZE_SETTINGS_IN_SECTIONS] [--freeze-specific-settings FREEZE_SPECIFIC_SETTINGS] [--ui-settings-file UI_SETTINGS_FILE] [--gradio-debug] [--gradio-auth GRADIO_AUTH] [--gradio-auth-path GRADIO_AUTH_PATH] [--gradio-img2img-tool GRADIO_IMG2IMG_TOOL] [--gradio-inpaint-tool GRADIO_INPAINT_TOOL] [--gradio-allowed-path GRADIO_ALLOWED_PATH] [--opt-channelslast] [--styles-file STYLES_FILE] [--autolaunch] [--theme THEME] [--use-textbox-seed] [--disable-console-progressbars] [--enable-console-prompts] [--vae-path VAE_PATH] [--disable-safe-unpickle] [--api] [--api-auth API_AUTH] [--api-log] [--nowebui] [--ui-debug-mode] [--device-id DEVICE_ID] [--administrator] [--cors-allow-origins CORS_ALLOW_ORIGINS] [--cors-allow-origins-regex CORS_ALLOW_ORIGINS_REGEX] [--tls-keyfile TLS_KEYFILE] [--tls-certfile TLS_CERTFILE] [--disable-tls-verify] [--server-name SERVER_NAME] [--gradio-queue] [--no-gradio-queue] [--skip-version-check] [--no-hashing] [--no-download-sd-model] [--subpath SUBPATH] [--add-stop-route] [--api-server-stop] [--timeout-keep-alive TIMEOUT_KEEP_ALIVE] [--disable-all-extensions] [--disable-extra-extensions] [--skip-load-model-at-start] [--unix-filenames-sanitization] [--filenames-max-length FILENAMES_MAX_LENGTH] [--no-prompt-history] [--ldsr-models-path LDSR_MODELS_PATH] [--lora-dir LORA_DIR] [--lyco-dir-backcompat LYCO_DIR_BACKCOMPAT] [--scunet-models-path SCUNET_MODELS_PATH] [--swinir-models-path SWINIR_MODELS_PATH] launch.py: error: unrecognized arguments: to COMMANDLINE_ARGS Press any key to continue . . . 

02.- I also tried the following method but it didn't work:

• Go to your Stablediffusion folder
• Delete the "VENV" folder
• Start "webui-user.bat"
• it will re-install the VENV folder (this will take a few minutes)
• WebUI will crash
• Close Webui
• now go to VENV folder > scripts
• click folder path at the top
• type CMD to open command window
• type: pip install fastapi==0.90.1
• type: python.exe -m pip install --upgrade pip

I hope you can help me and thank you in advance for responding.

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Hacksaw Ridge 4k (lionsgate)	$3

Clearing everything I have at the moment. Will take offers on bulk (4+ items)
Prices do not include shipping. Free shipping on $50+.
 
 
Blu Ray

Item	Cond.	Price
non non biyori (Series + Vacation)	Sealed	$30
Planetarian	Sealed	$15
Kokoro Connect	Sealed	$10
Den-noh-coil	Sealed	$25
Aura x2	Sealed	1x free on $50+
Amagami + Amagami SS	Sealed	$15
Himouto Umaru-Chan	Sealed	$10
Chivalry of a Failed Knight	Sealed	$15
Blue Lock Pt.1	Sealed	$20
More than a Married Couple, but Not Lovers	Sealed	$30
Keijo!!!!!!!!	Sealed	$60
Strike Witches Series	Sealed	$140

 
Limited Editions

Item	Cond.	Price
Dororo	Sealed	$85
Revue Starlight	Sealed	$45
Ahiru no Sora	Sealed	$45
K: Complete Series	Sealed	$45
Ushio & Tora	Sealed	$75
$250 for all		$250

 
Aniplex Limited Editions

Item	Cond.	Price
Demon Slayer (Series + MovieMovie is JPN release with english subs	Sealed	$400
Full Metal Alchemist Brotherhood	Sealed	$185
Kaguya-Sama	Sealed	$375
Rascal Does Not Dream Series	Sealed	$150
Lycoris Recoil	Sealed	$95

 
JPN Imports

Item	Cond.	Price
Burn The Witch LE (JPN Import, no subs)	Sealed	$20
Digimon + Last Kizuna LE (JPN Imports, no subs)	Opened	$350
Grand Blue Box Set (JPN Import, no subs)	Opened	$45
Harukana Receive Complete Vol. 1-6 w/Art Storage Box (JPN Import, no subs)	Opened	$115
No Rin Complete Vol 1-6 (JPN Import, no subs)	Opened	$85
No Rin + Harukana Receive + Burn The Witch	---	$200
Vivy Limited Release (JPN Import, no subs)	Sealed	$300