PhotoRoom

PhotoRoom AI

PhotoRoom AI

PhotoRoom AI

PhotoRoom AI

PhotoRoom AI

PhotoRoom AI

PhotoRoom AI

PhotoRoom AI

PhotoRoom AI

PhotoRoom AI

Be careful when shopping on etsy, every single image in this shop is fake.

They nearly had me on some listed items where they got multiple shots to retain the same room layout. Pay attention to the furniture, pillow texture, location of windows, number of rooms etc. in the duck listing all the wall photos are different in every shot lol. submitted by /u/Cabin-ln-The-Woods [link] [comments]

INSTANT MAGAZINE: I asked Claude to help me build "a Blog post" Eight agents later, I have a full Magazine media operation running on a $200 NAS in my closet. Here's what happened. (Claude, GPT Image 2 Canva)

These are not random text (lorem ipsum) but actual daily content!!! What?!? I work in talent, BGRated is a talent agency and we partner with independent media to help our clients get coverage that actually reflects the culture. One of those partners is BlkCosmo, a Black culture and celebrity magazine. Think The Shade Room meets Essence, independently owned and operated. We went to zGenMedia a digital strategy and design operation to figure out how to produce content faster without sacrificing the cultural specificity that makes BlkCosmo worth reading in the first place. What they built for us has genuinely changed how we think about independent media production. A few months ago I just needed help writing captions faster. That's it. One tool. Something to pull today's headlines and give me Instagram copy so I wasn't copy-pasting at midnight. What I have now is something I genuinely cannot explain to people in my life without watching their eyes glaze over. So I'm explaining it here, where someone might actually get it. What they built: a pipeline that ends in an editable magazine cover The system runs 24/7 on a NAS server no cloud subscription, no monthly SaaS fees all private. Step 1 : Demographic-targeted story scoring An agent pulls from 15+ Black media RSS sources every morning. Cross-references Google News. Digs through targeted Reddit communities. Every story gets scored 1–10 against a live demographic profile — right now that's Black women 35-54, US-heavy, celebrity-forward — and anything below a 6 gets dropped. The profile isn't static. It updates based on real engagement and audience data fed back into it over time. python # rough shape — not the actual thing demo = load_demographic_profile() # live JSON, updates with audience data scored = [s for s in stories if score_story(s, demo) >= 6] ranked = sorted(scored, key=lambda x: x['score'], reverse=True) The output isn't just a list of headlines. It's a structured brief cover story, four secondary stories, each with subheadlines formatted specifically for what comes next. Step 2 : GPT Image 2 prompt, auto-generated At the bottom of every brief is a ready-to-paste image generation prompt. Not a generic one. It pulls the actual stories from the brief, formats them with the correct accent color (RGB 218,165,32), specifies font stacks, image ratio (9:16), layout hierarchy. The cover story becomes the hero. The secondary stories become the sidebar teasers. It writes the prompt from the brief content so there's no manual translation step. Step 3 : Paste into GPT Image 2 → get the cover One paste. One generate. A full magazine cover visual comes back. Step 4 : Upload to Canva → Magic Layers This is where it gets interesting for anyone in creative production. Upload the GPT Image 2 output into Canva, hit Edit → Magic Layers, and Canva automatically separates the image into editable layers. The text becomes editable text. The background separates from the subject. You can adjust, swap, refine — without rebuilding from scratch. This is for the guys that say yeah but ai makes mistakes. You use it as a tool not the business. Step 5 : Magazine Cover Builder A custom layered canvas tool that knows what BlkCosmo covers are supposed to look like. Pull from the morning brief and every slot fills in order... cover story, left column, right columns A/B/C. Hit Generate Cover Copy and the AI polishes the existing text: tightens headlines that are too long for the visual space, fixes spelling, improves wording without replacing anything with invented content. The download matches what you see on screen. (That took longer to get right than anything else in the whole build.) Why this matters for the industry Independent media has always been resource-constrained. You either have the audience or the production quality rarely both at the same time. What zGenMedia built here collapses the production side down to almost nothing. The demographic targeting piece is what most tools miss. A generic AI cover generator doesn't know that your audience cares about this story and not that one. It doesn't know that gospel music beef hits differently than pop music beef for a 42-year-old Black woman in Atlanta. The scoring layer makes those calls before anything visual gets touched. For talent agencies like BGRated, this changes the pitch. When we bring a client to a partner publication, we can now show up with a cover-ready treatment the same day the story breaks. That's not something that was possible before without a full design team on standby. The output BlkCosmo is at blkcosmo.com every cover you see there has gone through some version of this pipeline. zGenMedia built the architecture. BGRated brought the talent relationships and the cultural context. BlkCosmo is the proof of concept that it works at publication quality. If you're in independent media, talent management, or anywhere adjacent to content production and you're still doing this manually this

Image 2.0 infographics are nuts

Prompt Create an infographic of the history of Reddit memes going all the way back to the beginning. Include images of the memes, years and fun facts. Display it in a meandering whimsical theme. Use a tall 9:16 aspect ratio. submitted by /u/Sproketz [link] [comments]

I fed GPT-2 Image this Y2K dreamgirl prompt… and it turned into a horror scene I didn’t expect

So I tried pushing a very specific aesthetic into GPT-2 Image and soft dreamy Y2K vibes mixed with a subtle horror twist… and the result came out way more cinematic than I imagined. Go to GPT-2 Image Generator Write the full prompt given below Upload your reference image Click to the "Generate" and get the edited image Here’s the exact prompt I used: "Create a photo of me in a dreamy y2k style portrait of me laying on a shiny pink satin bedding as i hold a large 90s style chorded phone and in a thoughtful daydreaming pose. Her long black hair falls freely in loose curls with pink clips on each side. She wears delicate jewelry including dainty gold necklaces and accessories and gold chunky rings. The room behind her is girly and daydreamy with 90s posters. Her makeup is simple yet glamorous with brown lipgloss and brown lip liner. The photo should have a grainy 90s style to it with a light source like a lamp in a dimly lit room at night. The ghostface killer should be behind her staring at her, his body dimly lit, standing in the doorway of a dark hallway. The background should feel slightly dark and ominous." What I was going for: Soft Y2K Tumblr / early 2000s aesthetic Dreamy, feminine, almost nostalgic vibe Then quietly inject horror in the background What I got: Insane contrast between cozy and unsettling That “you don’t notice it at first” horror energy Feels like a lost 90s thriller frame Kinda curious — what would you tweak in this prompt to make it even more unsettling without ruining the soft aesthetic? Share your similar Y2K Ghostface photos in the comments below! submitted by /u/ElasticAIGirl [link] [comments]

GPT-2 cooked this “photo of a screen” prompt - MacBook + Photo Booth + late-night vibes

We are trying lots of different prompts with OpenAI's latest image model called GPT-2 and got this insanely detailed result. The idea was to recreate a photo of a MacBook screen (not a screenshot) with all the imperfections — pixel grid, dust, fingerprints, slight moiré — and a Photo Booth window showing a candid late-night moment. Go to GPT-2 Image Generator Write the full prompt given below Upload your reference image Click to the "Generate" and get the edited image Prompt: "{"image_settings": {"aspect_ratio": "3:4", "resolution": {"width": 1152, "height": 1536}}, "prompt": {"identity_lock": {"reference": "input_photo", "preserve": ["face", "facial proportions", "eye shape", "nose", "lips", "skin tone", "skin texture", "hairline", "overall identity"], "rules": ["no face swap", "no beautify", "no smoothing", "no reshaping", "no AI look"]}, "scene": {"camera_angle": "high-angle downward shot, POV", "composition": "MacBook screen fills most of the frame, thin strip of physical keyboard visible at the bottom", "screen_surface": ["visible RGB pixel grid", "subtle moire effect", "micro dust on glass", "faint fingerprints", "soft ambient reflections"]}, "digital_interface": {"os": "macOS dark mode", "background_app": {"name": "Spotify", "view": "Liked Songs", "visible_tracks": ["Blank Space \u2013 Taylor Swift", "Shake It Off \u2013 Taylor Swift", "Cruel Summer \u2013 Taylor Swift", "Love Story \u2013 Taylor Swift"]}, "foreground_app": {"name": "Photo Booth", "state": "live preview window", "position": "floating, center-right"}}, "photo_booth_content": {"environment": {"room": "dim bedroom", "background": "off-white wall, rumpled bedding", "lighting": "low-light, nocturnal, cool screen glow mixed with warm skin tones"}, "subject": {"pose": "lying down, relaxed, candid", "expression": "natural, slightly relaxed", "outfit": "light-colored tank top", "prop": {"item": "iPhone 15 Pro", "hand": "right hand"}}}, "realism_rules": ["this is a photo of a screen, not a screenshot", "raw smartphone photo look", "natural noise", "imperfect glass", "no studio lighting", "no HD polish"]}, "negative_prompt": ["screenshot", "flat UI", "perfect screen", "clean glass", "studio lighting", "beauty filter", "cartoon", "3d render", "painting", "watermark", "blurred face"]}" Details I pushed hard on: High-angle POV like you’re looking down at your laptop macOS dark mode with Spotify in the background (Taylor Swift Liked Songs) Photo Booth floating window with a natural, unfiltered face Realistic screen artifacts (RGB pixels, reflections, noise) Zero “AI polish” — no smoothing, no beauty filter The goal was maximum realism: something that feels like a quick iPhone snap, not a generated image. Curious what you think — does it pass as a real photo? Share your similar results with GPT-2 image model. submitted by /u/DataGirlTraining [link] [comments]

Claude keeps messing up my floor plan—how are people using it for interior design?

I am moving into a new apartment and trying to use a Claude Project and having a lot of trouble. I'm trying to create a clean floor plan / layout map of the apartment so I can then experiment with furniture + decor layouts. What I’ve tried so far: Uploading photos of the apartment → completely wrong layouts Giving a detailed written description of the layout → still wrong Iterating and correcting mistakes step-by-step → still wrong Literally drawing a floor plan myself (in Google Slides) and uploading that → still totally wrong The main issue is: The model keeps reconfiguring the space incorrectly (e.g., bending hallways that are straight or vice versa, placing rooms in the wrong order, etc.) Even when I explicitly correct it, it doesn’t reliably “lock in” the spatial logic At this point I’m confused because I feel like I’m giving Claude the answer, and it still can’t reproduce it faithfully. A few questions: Has anyone else run into this with Claude or other AI tools? Is this a known limitation with spatial reasoning / floor plan interpretation? Are there any workarounds that actually work? I was hoping this could be an end to end interior design assistant project for me, that could create a scaled map (once i give it dimensions), and then iterate on furniture + layout ideas, and then actually testing out different interior design decor/vibes (i'm a visual learner so it's super hard for me to conceptualize what something would look like in a space without seeing it and I thought Claude could be useful for this effort). Any help would be much appreciated! Trying to figure out what I'm doing wrong and learn from it (or if there are some fundamental limitations to Claude in this regard and how to work around). Also, if anyone has successfully done interior design with Claude would love to learn tips and tricks! Thanks! submitted by /u/Admirable-Seaweed-56 [link] [comments]

We used Claude to solve an actual real-world problem that has no good software: wedding seating arrangements

My co-founder and I kept hearing the same complaint from every couple planning a wedding: the seating chart is hell. Divorced parents, family feuds, random coworkers, strangers with plus-ones, grandma near the bathroom, kids table but also not a kids table because parents want to eat with their children sometimes?? Existing solutions are basically digital Post-it notes. Move a name to a circle. That's it. No intelligence, no rules engine, nothing. So we built seatbee.app in Claude Code and the core AI is Claude (via OpenRouter). What blew our minds: - Claude genuinely understands social dynamics. "These two had a messy breakup" → it doesn't just separate them, it creates a buffer zone. - It handles the constraint satisfaction problem way better than we expected. 150 guests, 20 rules, optimal seating in seconds. - The hardest part wasn't seating. it was floor plan detection. Upload a photo of your venue and Claude maps the room geometry. That took us weeks to get right and even now, the trace feature still works better than the AI detection. - I used natural language to train Claude on how to dissect the rules that a user would input and how to weight them preportionally. Never break up parties unless one person is at the head table, keep apart rules must be taken seriously... "don't put my divorced parents near each other!". We went from idea to paying customers in about 3 months, mostly vibe coding it. The free tier goes up to 100 guests and the AI actually works! Happy to talk about the architecture or any of the prompt engineering if anyone's curious. Claude is genuinely underrated for constraint-satisfaction type problems. submitted by /u/puppyqueen52 [link] [comments]

Home Memory — open-source MCP server that lets Claude remember everything about your home

I've been documenting my home with software I wrote for years — rooms, devices, cable routes, pipe runs, everything. When MCP came along, I built Home Memory: an open-source MCP server that gives Claude direct access to all that structured data. It's been a game changer for how easily things actually get documented and queried. Built the MCP server with the help of Claude Code. Just talk to Claude naturally: "I have a Daikin Altherma heat pump in the utility room" → created, categorized, placed [photo of a device label] "Add this to the utility room" → Claude reads the label, creates the entry [PDF invoice from the electrician] "Extract the installed devices and add them to the breaker panel" → done "What model is the dishwasher? I need to order a replacement part" "Show me all cables running from the utility room to the first floor" "There's a cable running from the breaker panel to the kitchen outlets, routed through the basement ceiling" Demo: one sentence - Claude Desktop creates two elements, auto-creates a missing room 22 MCP tools, 100+ built-in categories (electrical, HVAC, plumbing, network, vehicles, tools, furniture — basically everything), fully customizable, auto-creates the database on first run. Your data stays local in a single database file. Tested with Claude Code, Claude Desktop (Code Tab), Codex CLI, and Codex App. GitHub: https://github.com/impactjo/home-memory Would love feedback — especially on what use cases you'd find interesting. submitted by /u/impactjo [link] [comments]

Fascinating Conversation with Opus 4.6 in which I discover the insane depths of just how AWFUL the 4-Time Emmy Nominated movie 'Bugonia' (Ft. Emma Stone) Goes. Seriously, it just might be the WORST, most God Awful movies I've ever seen. And then Some. And then Some.

I don't do this often and yes I know, posts such as these where someone is sharing their conversation with some LLM very rarely seem to be of any quality whatsoever. But I promise you, if nothing else you will be entertained. If nothing else, I am entertaining, I would say. Oh, and spoilers for the Movie, Bugonia. I would not suggest anyone watch it though. Or if you do, think of it as a Morbid Curiosity, cause it is a Morbid movie, to say the very least. Also I was using speech to text so it can be rather messy - I got a cleaned up version below if you're the sort to get bent out of shape over inadequate paragraph breaks. Here's the conversation though....enjoy? https://claude.ai/share/5f77dfbf-cb9a-482e-82b2-aecd24912c8c If you aren't entertained, well you know what to do, ya Lovely Lovely Reddit Folks You! Or here, I've got ya covered!! -Yes, no life, Obviously. I mean, I'm like, talking to an LLM about.....stuff, after all!! I take it that's still something to feel shame over round these parts, no? AI Music, AI Art, Video, LLM's.....Shame shame shame shame shame! What would Reddit be if not for that?! -Meds?! Never knew em!! -etc etc you get the point. Much love! Fixed Up Transcript (Same Opus Responses, just my Speech to text messages cleaned up): "Bugonia" Left Me Fucking Furious, and I Worked Through It With Claude A raw, unfiltered conversation about Yorgos Lanthimos's Bugonia (2025), starring Emma Stone, Jesse Plemons, and Aidan Delbis. Heavy spoilers throughout. Cleaned up from speech-to-text but all language kept intact. Me: I'm forgetting the name of the movie. I think it was like "Gum" something, or maybe it was like "Bug" something. It had Emma Stone in it, and there are these two guys, their cousins, I think, and they end up kidnapping the CEO lady. They're accusing her of being an alien. And I mean to tell you how many emotions had been going through my head about it, how many things it's made me feel. It's not even halfway through it — I was just like spellbound. I was like, "Holy hell, this is so fucking good." I was so excited for where it was going. I was just all in. And then shit just gets neater and worse. The one guy shoots himself in the face. Just like... well, fuck. You don't want to see that happen. You don't want to see that. And then, oh God, it just kept amping up and up and up. I'm angry about it right now. I didn't know what to feel for the longest time, but it just always kind of left this awful taste in my mouth. It's just growing more and more. I'm not angry at anything with the movie itself, not angry directed towards the CEOs or the nicotine pesticide that they use and that entire topic. No, it was at Emma Stone — mainly as a person, not as that role, nothing like that. I'm questioning why she was the one playing that role, why she is the one to be talking about these things, why she gets to be pushing a message like that. That did not fall right with me. And then the ending of it — why did they do that? I feel like it just devolved into theater kid fucking shock value bullshit. Sure, I'm sure there's so many things that were layered throughout, and it has all these different meanings going through it and stuff, but fucking hell. I was invested, and I couldn't have felt more just lost by the end of it. And to wake up the next day and be thinking about it nonstop and still feeling like that? It's like, if you can't convey any kind of meaningful message without layering it so much that it all just becomes this fucking hair-monster alien people up in this pool of blood going around — like, what the fuck? It's weird, where it was such a fucking serious, fucked up, massive issue with the pesticides and the bees. It was really fucked. People did fucking die from bullshit that corporations have been poisoning people with. Why do they have those guys shooting themselves and then blowing themselves up after you fall in love with them like that? The mom — and why is she fucking floating outside of the place? Why the bombs? Like, why any of that? What the fuck happened with that? That's just inexcusable to me. You have lost the room. Who are you even pontificating to at this point except just jerking yourselves off? And that's how I feel about Emma Stone. I feel she is just as much in that circle-jerk, fucking Hollywood BS as anybody. How the fuck else would she have played the roles she has? How the fuck else would she be the star that she is had she not been in that circle, jerking everybody off? Bullshit. I call bullshit on her. But I am open to new ways of seeing all this too, lol. I just... not sure how to get around all those feelings about it to see some deeper point to any of it. And I HIGHLY doubt more than a few thousand will take the time to really sit down and dissect it deeply enough to get what the point of all that was... no? Claude: Yeah, that's Bugonia. Directed by Yorgos Lanthimos, written by Will Tracy, released October 2025. It's a remake o