Make a DOODLE ART using the name EMS

Pony Diffusion V6 XL + Styles For Pony Diffusion + DDetailer + Upscale

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Pony Diffusion model to create images with flexible prompts and numerous character possibilities, adding a 2.5D LoRA of details for more styling options in the final result. The workflow has Upscale resolution to 1024 x 1024 and metadata compatible with the Civitai website (upload) after saving the image. I added the node clip skip -2 (as recommended by the model), remembering that in ComfyUI the value -2 is equal to 2 (positive) in other generators (Civitai, Tensorart, etc). After several tests, I realized the need to have a specific node group for details on faces, especially when using the Ponny model, so this new version has ComfyUI Impact installed with DDetailer Feature to detect faces and refine them automatically. I've left a note with the link explaining the details of how the tool works. NOTE: An interesting detail is that you can make the lines of the nodes “cleaner”, in other words, straighter. To do this, just follow these steps: 1 - Click on the ComfyUI “settings” gear, the icon is above the QUEUE PROMPT button, next to the name QUEUE SIZE: 1. 2 - In settings, scroll down to almost the bottom of the page and check the following option: LINKS RENDER MODE 3 - From the various options, choose STRAIGHT 4 - Click Close to exit the settings and you will now see the lines of the nodes “straight”, making it easier to understand the flows. The following additional nodes will be required: - UltimateSDUpscale (upscale) - SaveImageWithMetaData (metadata) - DDetailer (ComfyUI Impact Pack)
homer26
ComfyUI workflow for Flux (simple)

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It is a simple workflow of Flux AI on ComfyUI. EZ way, kust download this one and run like another checkpoint ;) https://civitai.com/models/628682/flux-1-checkpoint-easy-to-use Check out more detailed instructions here: https://maitruclam.com/flux-ai-la-gi/ Just 20GB and no more download alot of thing. it was a bug when i tried to run flux on A1111 but i was finally able to use it on ComfyUI :V Old ver: You will need at least 30 GB to use them :) *** If you are a newbie like me, you will be less confused when trying to figure out how to use Flux on ComfyUI. In addition to this workflow, you will also need: Download Model: 1. Model: flux1-dev.sft: 23.8 GB Link: https://huggingface.co/black-forest-labs/FLUX.1-dev/tree/main Location: ComfyUI/models/unet/ Download CLIP: 1. t5xxl_fp16.safetensors: 9.79 GB 2. clip_l.safetensors: 246 MB 3. (optional if your machine has less than 32GB of TvT ram) t5xxl_fp8_e4m3fn.safetensors: 4.89 GB Link: https://huggingface.co/comfyanonymous/flux_text_encoders/tree/main Location: ComfyUI/models/clip/ Download VAE: 1. ae.sft: 335 MB Link: https://huggingface.co/black-forest-labs/FLUX.1-schnell/blob/main/ae.safetensors Location: ComfyUI/models/vae/ If you are using an Ubuntu VPS like me, the command is as simple as this: # Download t5xxl_fp16.safetensors to the directory ComfyUI/models/clip/ wget -P /home/ubuntu/ComfyUI/models/clip/ https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp16.safetensors # Download tp clip_l.safetensors to ComfyUI/models/clip/ wget -P /home/ubuntu/ComfyUI/models/clip/ https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/clip_l.safetensors # (Optional) Download t5xxl_fp8_e4m3fn.safetensors to ComfyUI/models/clip/ wget -P /home/ubuntu/ComfyUI/models/clip/ https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp8_e4m3fn.safetensors # Download ae.sft to ComfyUI/models/vae/ wget -P /home/ubuntu/ComfyUI/models/vae/ https://huggingface.co/black-forest-labs/FLUX.1-schnell/resolve/main/ae.safetensors For the model, you will need to learn how to generate Huggingface Access Tokens and add them to download and use like this: I don't know much about them so you can find out more. Why don't I make tutorial for Windows 10, 11 or XP? What do you expect from a Mario 64 laptop :) Original tutorial: https://comfyanonymous.github.io/ComfyUI_examples/flux/ Note: It works well with FLUX.1-Turbo-Alpha, LORA human face. 👤✨ Useful and FREE resources: ❤️Free server to make art with Flux: Shakker and Tensor Art and Sea Art ✨ More FLUX LORA? List and detailed description of each LORA I implement here: https://maitruclam.com/lora📚 🆕 First time using FLUX? Explanation and tutorial with A1111 forge offline and Comfy UI here: https://maitruclam.com/flux-ai-la-gi/🌐 🛠️ How to train your LORA with Flux? My detailed instructions are here: https://maitruclam.com/training-flux/📚 ❤️ Donate me (I would be real
Ashen
funny meems

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// Java program to create a simple console-based application// This program demonstrates basic user interaction and functionalityimport java.util.Scanner;public class FunnyMemesApp { public static void main(String[] args) { Scanner scanner = new Scanner(System.in); boolean running = true; System.out.println("\nWelcome to the Funny Memes App!"); System.out.println("Your daily dose of humor awaits.\n"); while (running) { System.out.println("What would you like to do?\n"); System.out.println("1. View a random meme"); System.out.println("2. Add your own meme"); System.out.println("3. Exit\n"); System.out.print("Enter your choice (1/2/3): "); int choice = scanner.nextInt(); scanner.nextLine(); // Consume newline character switch (choice) { case 1: displayRandomMeme(); break; case 2: System.out.print("Enter your funny meme text: "); String meme = scanner.nextLine(); addMeme(meme); break; case 3: System.out.println("Thank you for using the Funny Memes App. Goodbye!"); running = false; break; default: System.out.println("Invalid choice. Please try again.\n"); } } scanner.close(); } private static void displayRandomMeme() { String[] memes = { "Why don't skeletons fight each other? They don't have the guts!", "I told my wife she should embrace her mistakes. She gave me a hug.", "Why don’t scientists trust atoms? Because they make up everything!", "I’m reading a book on anti-gravity. It’s impossible to put down!" }; int randomIndex = (int) (Math.random() * memes.length); System.out.println("\nHere's your random meme: \n" + memes[randomIndex] + "\n"); } private static void addMeme(String meme) { // For now, we'll just acknowledge the meme // In a real application, you might save this to a database or file System.out.println("\nThank you! Your meme has been added: \n" + meme + "\n"); }}
Muhammad Jawad
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