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TIPS for better SREF BLENDING in MJ: 🧶THE BASE Start with this baseline: random --sref random --sw 300 --s 300 --c 20--exp 10 --preview --draft Pick your favorite result and run a Vary (Subtle). 🥗THE BLEND Look for an image driven by its style, pick what works best, or... show more

AlexandrIA

17,783 subscribers

13,967 Aufrufe • vor 2 Monaten •via X (Twitter)

Anya Rossi• Live Now

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4 Kommentare

Profilbild von Shara

Sharavor 2 Monaten

That blending workflow is a useful reference for style consistency.

Profilbild von Kelbin Phạm

Kelbin Phạmvor 2 Monaten

Wow i was wondering abt this, ty alot 🥰

Profilbild von NGLPRZ

NGLPRZvor 2 Monaten

Gracias por el Tip !! 😍😍

Profilbild von AlexandrIA

AlexandrIAvor 2 Monaten

Gracias a ti por comentar 🥰

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Blending sref codes in Midjourney: Step 1: Run the prompt 'test --sw 1000 --draft' multiple times. Step 2: Create pairs of sref codes (mix two codes—either similar vibe/colors or intentionally opposite). Step 3: Pick the pair you like most, but note what’s missing. Step 4: Lower --sw to 500, add your p code with --s 500, and remove --draft. Step 5: Add a third random code and iterate many times. Example: 'test --ar 3:4 --sref 3504537004 1296666443 random --profile l3h4vio --sw 500 --stylize 500 --r 10' You'll get tons of cool styles with a similar vibe, but different details.

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MIDJOURNEY EDITOR TUTORIAL: IMAGE TO IMAGE Many of you have been asking for this tutorial. To be honest, it’s super simple: 1. Drag and drop a photo. 2. Write a simple prompt. 3. Add personalization, sref codes, and other parameters if needed. 4. Run the prompt multiple times with different sref codes. 5. Pick the best results. 6. Fix details in the editor or Photoshop, if needed. That’s it! Let me know, if you have questions.

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Jina AI

209,142 Aufrufe • vor 1 Jahr

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prompting tip: How to write hybrid english & code prompts while building custom GPTs -Turn on code interpreter -"write code to ..." -Regenerate a few times until you get one you like -Copy paste it back into your prompt -tweak it to improve Now your ai can write consistent code Plus, you can add & combine with all sorts of english rules on top. Essentially adding english code logic "If the user asks for ..., then run this code" "If the user needs help with ..., use this code snippet and ask the user for all required information" Guess what thats a working if statement in english! if userAsksFor { // run this code } Prompts are code! English is a coding language Prompt-gramming is abstract coding

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117,072 Aufrufe • vor 2 Jahren

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Nicolas Neubert

60,434 Aufrufe • vor 7 Tagen

This style of AI renovation video is helping RE agents and contractors close more deals (and it starts with a single photo). No staging company. No 3D rendering service. No $2K virtual staging package. Just one image and 10 minutes inside Calico AI. Here's how the system works: → Drop any room photo into the AI Room Renovator GPT → Choose a renovation style: modern, coastal, luxury → It hands you a perfectly tuned image prompt → Paste it inside Calico along with the original photo → Generate the renovated room in seconds → Open Kling 3.0 (same platform, no switching tools) — set original as start, renovation as end → Generate the animation — the room transforms before your eyes Before to after. In a video. From one photo. Drop that into a listing, an ad, or a client walkthrough and watch what happens. Comment "RENOVATE" and I'll send you the exact GPT link, prompts, and workflow (must be following so I can DM you!).

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David Roberts

34,811 Aufrufe • vor 5 Monaten

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THIS IS HOW A $10K/MONTH PRODUCT CONTENT PIPELINE GETS BUILT FROM 1 REFERENCE IMAGE AND A JSON PROMPT The video is not about "better prompting." It is a very simple cheat code: find an image with the exact lighting, color grade and camera feel you want, make AI reverse-engineer the style into a detailed JSON, then feed that structure into Nano Banana Pro with your own product. That is the part people keep missing. They write vague prompts like “make it realistic” and blame the model when it produces plastic garbage. The better workflow gives the model a style contract before asking for the final image. One reference image becomes the art director. The JSON becomes the brief. Your product becomes the asset dropped into a visual language that already works. This is how a solo operator can sell 20-30 "premium" product shots a week without owning a camera, renting a studio or touching a lighting rig. At $150-$300 per image, that is a $3K -$9K/week offer if you can bring clients. Not guaranteed. But the math is why this workflow matters. The article is the same business model underneath: AI output gets valuable when you stop asking for random generation and start building reusable instructions that copy proven formats. No photographer, no studio, no lighting setup, no retoucher, no 12-round creative call. Just reference, extraction, structure and execution. The prompt does not make the photo look expensive. The stolen style system does.

Nekt0

14,833 Aufrufe • vor 3 Monaten

As promised, here’s the Polymarket Visual Trades Generator. How to run: • Copy the code from this link(I suggest checking the code before, never trust blindly anyone): • Open VSCode, create a new script, paste the code and run it. How it works: • Step 1: Drop the market name. • Step 2: Drop the trader address. The script fetches every trade automatically, sorts them, and generates full stats + a clean visual timeline for each market. What this unlocks: • A clear view of your execution patterns • Whether you buy dips, chase highs, or average in • Real exposure, sizing, and risk across the window • How your YES/NO stacking evolves trade by trade • The ability to reverse-engineer profitable traders • A better understanding of why your final PnL happened

As promised, here’s the Polymarket Visual Trades Generator. How to run: • Copy the code from this link(I suggest checking the code before, never trust blindly anyone): • Open VSCode, create a new script, paste the code and run it. How it works: • Step 1: Drop the market name. • Step 2: Drop the trader address. The script fetches every trade automatically, sorts them, and generates full stats + a clean visual timeline for each market. What this unlocks: • A clear view of your execution patterns • Whether you buy dips, chase highs, or average in • Real exposure, sizing, and risk across the window • How your YES/NO stacking evolves trade by trade • The ability to reverse-engineer profitable traders • A better understanding of why your final PnL happened

Jayden ⛩️

137,517 Aufrufe • vor 9 Monaten

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Reimagine the music you love with Covers! Covers can transform anything, from a simple voice recording to a fully-produced track, into an entirely new style all while preserving the original melody that’s uniquely yours. Our newest feature, now available in early-access beta, helps you experiment with new genres, add lyrics to instrumentals, and even transform your own singing voice. Additional Creative Possibilities: 🦋 Transform Audio Uploads: Try uploading a clip of your singing, humming or playing an instrument, then create a cover. 🎤 Instrumental to Vocal: Try covering an instrumental song by adding lyrics to create a layered musical piece. How to make a Cover: 1. Find your song in the Library or on the Create page. 2. Hit the 3 dots, Create, then Cover Song. 3. Type or select a new Style of Music. We’ll automatically pull your original lyrics into this new style. For the best results, keep the lyrics the same to start, but feel free to experiment and change them as you go.

Suno

59,243 Aufrufe • vor 2 Jahren

i probably shouldn't be giving this away but f*ck it i built an agent that turns your ad script into model-specific prompts for AI video generation, based on skills for each model i use day-to-day here's how it works: > pick your mode - first frame or full video generation > pick your model - gpt-image-2, omni, kling, seedance 2.0 or 2.5 > paste your script - it splits it into scenes > get a prompt per scene, tuned for the exact model you picked most people think the model is what makes the ad... and it's true, but the prompt is what gets you a good generation on the first try instead of wasting money on rerolls - seedance wants timestamps. - omni wants references tagged. - gpt-image wants art direction and reference feed them all the same generic prompt and they all hand you slop these skills took me months of daily reps to get right, now i'm sharing it with you RT + reply "SCENES" and i'll send you the full thing so you can run in on your PC (must follow so i can dm)

i probably shouldn't be giving this away but f*ck it i built an agent that turns your ad script into model-specific prompts for AI video generation, based on skills for each model i use day-to-day here's how it works: > pick your mode - first frame or full video generation > pick your model - gpt-image-2, omni, kling, seedance 2.0 or 2.5 > paste your script - it splits it into scenes > get a prompt per scene, tuned for the exact model you picked most people think the model is what makes the ad... and it's true, but the prompt is what gets you a good generation on the first try instead of wasting money on rerolls - seedance wants timestamps. - omni wants references tagged. - gpt-image wants art direction and reference feed them all the same generic prompt and they all hand you slop these skills took me months of daily reps to get right, now i'm sharing it with you RT + reply "SCENES" and i'll send you the full thing so you can run in on your PC (must follow so i can dm)

MAX

17,403 Aufrufe • vor 1 Monat

New course: Spec-Driven Development with Coding Agents, built in partnership with JetBrains, and taught by Paul Everitt | @pauleveritt@fosstodon.org. Vibe coding is fast, but often produces code that doesn't match what you asked for. This short course teaches you spec-driven development: write a detailed spec defining what to build, and work with your coding agent to implement it. Many of the best developers already build this way. A spec lets you control large code changes with a few words, preserve context across agent sessions, and stay in control as your project grows in complexity. Skills you'll gain: - Write a detailed specification to define your mission, tech stack, and roadmap, giving your agent the context it needs from the start - Plan, implement, and validate features in iterative loops using a spec as your agent's guide - Apply the same repeatable workflow to both new and legacy codebases - Package your workflow into a portable agent skill that works across agents and IDEs Join and write specs that keep your coding agent on track!

New course: Spec-Driven Development with Coding Agents, built in partnership with JetBrains, and taught by Paul Everitt | @[email protected]. Vibe coding is fast, but often produces code that doesn't match what you asked for. This short course teaches you spec-driven development: write a detailed spec defining what to build, and work with your coding agent to implement it. Many of the best developers already build this way. A spec lets you control large code changes with a few words, preserve context across agent sessions, and stay in control as your project grows in complexity. Skills you'll gain: - Write a detailed specification to define your mission, tech stack, and roadmap, giving your agent the context it needs from the start - Plan, implement, and validate features in iterative loops using a spec as your agent's guide - Apply the same repeatable workflow to both new and legacy codebases - Package your workflow into a portable agent skill that works across agents and IDEs Join and write specs that keep your coding agent on track!

Andrew Ng

465,101 Aufrufe • vor 5 Monaten

This familiar game started as a single phrase. A prompt simple enough to begin the process: "Create a Flappy Bird-style game." With CreoPlay AI, that prompt becomes more than just text. It becomes the starting point for building something playable. The system helps turn the idea into game structure, mechanics, and logic, so the result is not just generated, but something you can test, refine, and continue improving. This is the direction we are building toward with CreoPlay AI. Not just generating a game, but creating a workflow where creators can start with an idea, shape the experience, test the result, and keep building from there. Today, it starts with a "Flappy Bird-style" game. Tomorrow, it'll start with YOUR idea. CreoPlay AI. From prompt to playable.

This familiar game started as a single phrase. A prompt simple enough to begin the process: "Create a Flappy Bird-style game." With CreoPlay AI, that prompt becomes more than just text. It becomes the starting point for building something playable. The system helps turn the idea into game structure, mechanics, and logic, so the result is not just generated, but something you can test, refine, and continue improving. This is the direction we are building toward with CreoPlay AI. Not just generating a game, but creating a workflow where creators can start with an idea, shape the experience, test the result, and keep building from there. Today, it starts with a "Flappy Bird-style" game. Tomorrow, it'll start with YOUR idea. CreoPlay AI. From prompt to playable.

Creo Engine

11,126 Aufrufe • vor 9 Tagen

👀 I used OpenAI's Code Interpreter to make Flappy Bird 🐦in 7 minutes: Code Interpreter/GPT-4 for code generation. Pre-existing or AI-generated assets for graphics. --- Here's how to make the game in only 6 steps: (1): Enter the following prompt: "write p5.js code for Flappy Bird where you control a yellow bird continuously flying between a series of green pipes. The bird flaps every time you left click the mouse. If the bird falls to the ground or hits a pipe, you lose. This game goes on infinitely until you lose and you get points the further you go". (2): Use generative AI or existing game assets and spirits. I searched "flappy bird assets" on Google and used the first link, a GitHub repo with pngs from the original Flappy Bird. (3): Use this prompt to link assets to the code: "Please generate the entire file again based on the fact I'm using a unique background, spirits for the bird, and pipes. Here is the list of assets I'm using: [list of file names]." Code Interpreter should modify the code accordingly to include the list of file names. (4) Make an account OpenProcessing -> create a sketch -> paste in the code generated by Code Interpreter -> upload in-game assets from step (2). (5) (Optional) Ask ChatGPT to make changes to improve the in-game experience e.g., adding a high score, restarting the game when the bird dies, etc. Copy the new code into your OpenProcessing sketch and reload the game. (6) If something doesn't work, ask GPT4 to fix it. Copy and paste the error message and ask it to regenerate the code. --- Bonus Tips: - Iteratively test code. Each time you make a change using Code Interpreter, test the updated code by playing the game so you catch new bugs early. - Learn programming by asking questions: "Act as a senior programmer very good at explaining concepts to a beginner. Tell me how gravity works in this game and how you used code to make this happen."Code Interpreter/GPT4 for code generation. Download Pre-existing assets or generate new images for graphics. Excited to see what you make!

👀 I used OpenAI's Code Interpreter to make Flappy Bird 🐦in 7 minutes: Code Interpreter/GPT-4 for code generation. Pre-existing or AI-generated assets for graphics. --- Here's how to make the game in only 6 steps: (1): Enter the following prompt: "write p5.js code for Flappy Bird where you control a yellow bird continuously flying between a series of green pipes. The bird flaps every time you left click the mouse. If the bird falls to the ground or hits a pipe, you lose. This game goes on infinitely until you lose and you get points the further you go". (2): Use generative AI or existing game assets and spirits. I searched "flappy bird assets" on Google and used the first link, a GitHub repo with pngs from the original Flappy Bird. (3): Use this prompt to link assets to the code: "Please generate the entire file again based on the fact I'm using a unique background, spirits for the bird, and pipes. Here is the list of assets I'm using: [list of file names]." Code Interpreter should modify the code accordingly to include the list of file names. (4) Make an account OpenProcessing -> create a sketch -> paste in the code generated by Code Interpreter -> upload in-game assets from step (2). (5) (Optional) Ask ChatGPT to make changes to improve the in-game experience e.g., adding a high score, restarting the game when the bird dies, etc. Copy the new code into your OpenProcessing sketch and reload the game. (6) If something doesn't work, ask GPT4 to fix it. Copy and paste the error message and ask it to regenerate the code. --- Bonus Tips: - Iteratively test code. Each time you make a change using Code Interpreter, test the updated code by playing the game so you catch new bugs early. - Learn programming by asking questions: "Act as a senior programmer very good at explaining concepts to a beginner. Tell me how gravity works in this game and how you used code to make this happen."Code Interpreter/GPT4 for code generation. Download Pre-existing assets or generate new images for graphics. Excited to see what you make!

Alex Ker 🔭

739,874 Aufrufe • vor 3 Jahren

The second edition of the Swordplay #SuperCoach Classic & Draft season guide is coming! Pre-order your copy today at the link below! The Swordplay 2026 #SuperCoach Preseason Guide is available for pre-order until Saturday February 21st 2026, when the guide will be released! If you pre-order, we will be providing the entire team by team preview to you with early access, from February 15th 2026, after which you will get access to the full guide on release date. For just $20, this 300 page+ season guide looks into each AFL team in detail, supplemented with discussions on popular players, as well as predictions for the top scorers on each line. Strategy wise, the Swordplay team along with an all star cast of content creators delves into how to pick the best starting team, ramifications of the new rules, tips for picking the best Captain weekly, breakout candidates and mid-price mayhem and a fixture analysis. At the end of this season guide, you will find a list of SuperCoach lingo which we as content creators use weekly, suitable for all levels of SuperCoach experience, new or seasoned. We also tap into the knowledge of 2024 SuperCoach winner Akashi (Joven May), the SCodFather (The SCodfather) as well as other creators you are most likely to be familiar with from Fantasy Take TV📺, The Coaches Panel, The Centre Bounce, Pig Mentality, Footy Mailbag, SuperCoach Edge, Steven Smith - SDS SuperCoach, Swiz26 and more! Developed by SuperCoach experts, this guide is suited for each level of SuperCoach player, whether this is your first season, a returning player looking for a personal best rank, or an experienced player looking for a top 1k finish. Here is a video outlining the guide, including a special offer for anyone wanting to advertise a business/venture within our Season Guide! You don't want to miss out! Use our promo code “SWORDPLAY” for 10% off your pre-order copy! Janath Fernando Rossco SuperCoach with DR Spillsy

The second edition of the Swordplay #SuperCoach Classic & Draft season guide is coming! Pre-order your copy today at the link below! The Swordplay 2026 #SuperCoach Preseason Guide is available for pre-order until Saturday February 21st 2026, when the guide will be released! If you pre-order, we will be providing the entire team by team preview to you with early access, from February 15th 2026, after which you will get access to the full guide on release date. For just $20, this 300 page+ season guide looks into each AFL team in detail, supplemented with discussions on popular players, as well as predictions for the top scorers on each line. Strategy wise, the Swordplay team along with an all star cast of content creators delves into how to pick the best starting team, ramifications of the new rules, tips for picking the best Captain weekly, breakout candidates and mid-price mayhem and a fixture analysis. At the end of this season guide, you will find a list of SuperCoach lingo which we as content creators use weekly, suitable for all levels of SuperCoach experience, new or seasoned. We also tap into the knowledge of 2024 SuperCoach winner Akashi (Joven May), the SCodFather (The SCodfather) as well as other creators you are most likely to be familiar with from Fantasy Take TV📺, The Coaches Panel, The Centre Bounce, Pig Mentality, Footy Mailbag, SuperCoach Edge, Steven Smith - SDS SuperCoach, Swiz26 and more! Developed by SuperCoach experts, this guide is suited for each level of SuperCoach player, whether this is your first season, a returning player looking for a personal best rank, or an experienced player looking for a top 1k finish. Here is a video outlining the guide, including a special offer for anyone wanting to advertise a business/venture within our Season Guide! You don't want to miss out! Use our promo code “SWORDPLAY” for 10% off your pre-order copy! Janath Fernando Rossco SuperCoach with DR Spillsy

Third Man Up

12,452 Aufrufe • vor 8 Monaten