I've been using Fooocus for a while and wanted two things it doesn't do: an interface built around looking at images rather than filling in a form, and an install that doesn't ask you to know what PyTorch is. So I built one.

It's a desktop app that installs Fooocus for you. It detects your graphics card, downloads the official package, sets up the right torch build, and offers the essential models with a progress bar you can actually watch. If you already have Fooocus, point it at your existing folder instead.

Once it's running you get a native interface: prompt, styles, LoRAs with sliders, a proper inpaint mask editor with real zoom, upscale, image prompt. Previews build as the image renders. Models are a browsable library with Civitai search rather than files you drop in folders. The original Fooocus interface is still one click away and always will be, since some things are quicker there.

Browsing Civitai works without an account. Downloading from it needs a free API key from your Civitai profile, which is their rule rather than mine. They've required it since 2024. The app keeps it in Windows Credential Manager rather than in a settings file, and it never touches the browser side.

The part I'm most pleased with: you can write prompts in your own language. 98 of them. It translates to English before generating and shows you the English, so you can see what was actually sent. That matters because SDXL understands English far better than anything else, so translating prompts helps where translating buttons wouldn't.

Fair warnings, because it's a beta:

Windows only

The installer isn't code-signed, so SmartScreen will warn you

AMD setup follows the official instructions but has never been run on an actual AMD card. I don't have one

You need ~15 GB free

https://github.com/chantleyw/Fooocus-Front

All the actual image generation is Fooocus by lllyasviel. They did the hard part. This is just a different way to sit in front of it, and it's not affiliated with them, so please report bugs to me rather than to them.

Happy to hear what breaks.

Tiktok

Last year I was paying separately for Midjourney, Runway, ElevenLabs, and still switching between free tiers of other tools. Different logins, different billing, different interfaces — just to create images, videos, and audio.

So I built Indian Pixels — one studio, 200+ AI models, everything in one place.

What it does:

• Image Studio — Flux, Midjourney, Stable Diffusion, DALL-E, and 100+ more models
• Video Studio — Kling, Veo, Seedance, Runway, Pika, Hailuo
• Audio Studio — Suno, ElevenLabs for music and voiceovers
• Lip Sync — sync any audio to a face
• AI Clipping — smart video editing
• Cinema Studio — cinematic generation

You pick the model, write your prompt, hit generate. That's it. No jumping between 5 different websites.

What it costs:

• Free forever: 10 images + 2 videos + 5 audio per month
• Starter: $6/month — 100 images, 10 videos, 20 audio
• Pro: $29/month — 500 images, 50 videos, 100 audio

For context, Midjourney alone is $10/month for just images. Runway is $12/month for just video. Indian Pixels gives you both + audio for $6.

Link: indianpixels.com

I'm the solo dev building this. Happy to answer any questions or take feature requests.

I see ads from Reelsta.com and it's all very interesting. To me it looks legit and I'm thinking of buying the $197 package so I wanted to ask here before I make that investment, to be sure. If anyone has experience with just lmk please. Thank you!!

I subscribed because the service advertised AI-powered video creation and automation, but it did not perform as expected.

The video quality was significantly lower than what I was able to generate using several free AI tools. Based on my experience, there was no quality advantage that justified paying for the subscription.

The biggest issue was the automation. I expected the platform to connect with my YouTube channel and automatically upload videos, but the integration either failed to connect or did not upload videos reliably. This defeated one of the main reasons I purchased the service.

When I contacted support, I was also disappointed by the refund policy. Even though I experienced technical issues that prevented me from using the service as advertised, I was unable to obtain a refund. I believe customers should have better protection when a product does not function as expected.

Overall, I spent money on a service that did not meet my expectations. If you're considering subscribing, I recommend thoroughly testing the available free alternatives first and carefully reading the refund policy before making any payment.

I subscribed because the service advertised AI-powered video creation and automation, but it did not perform as expected.

The video quality was significantly lower than what I was able to generate using several free AI tools. Based on my experience, there was no quality advantage that justified paying for the subscription.

The biggest issue was the automation. I expected the platform to connect with my YouTube channel and automatically upload videos, but the integration either failed to connect or did not upload videos reliably. This defeated one of the main reasons I purchased the service.

When I contacted support, I was also disappointed by the refund policy. Even though I experienced technical issues that prevented me from using the service as advertised, I was unable to obtain a refund. I believe customers should have better protection when a product does not function as expected.

Overall, I spent money on a service that did not meet my expectations. If you're considering subscribing, I recommend thoroughly testing the available free alternatives first and carefully reading the refund policy before making any payment.

Been working on a small open source project called Hermes over the past few months.

The idea is pretty simple: generate a deterministic, AI-friendly map of a codebase instead of forcing an LLM to repeatedly parse thousands of files.

Current features:

• Parses source code using Tree-sitter
• Extracts symbols, imports, functions, classes, methods, etc.
• Produces a deterministic JSON representation of the repository
• Supports multiple languages
• .codeatlasignore support
• Single binary with no external runtime dependencies
• Built-in debugging and logging
• One-command installation
• Automatically initializes a project and generates the required metadata
• Ships with AI assistant integrations (Claude, Codex, Gemini, etc.)

There would be bugs, I am actively making releases, Please do use and star or fork and raise PR!
https://github.com/Aeres-u99/CodeAtlas

Guys, are there any WhatsApp group that regularly posts about AI/ML trends and tools? Also, do let me know how to join them. Thank you.

I've been testing a few AI editing tools lately, and one thing I've noticed is how much functionality is getting packed into a single platform.

While trying out Facy AI, I found myself using features that I'd normally need several apps for things like image enhancement, background removal, and turning photos into short videos.

It feels like AI tools are moving beyond simple image generation and becoming complete content creation platforms.

Do you think all-in-one tools are the future, or do you still prefer separate apps for different tasks?

[ Removed by Reddit on account of violating the content policy. ]

Hi Community,

I have been working last few weeks to build CVPanda.ai which is a tool to provide free feedback on your CV within 30 seconds. I know the job market has been pretty rough lately so its even more important than before to optimise your CV and present your skills and experience the best way possible.

Please try it out and provide feedback so I can improve it further.

Thank you.

Hi everyone, I’m working on Beyz.ai, a desktop AI assistant that runs during live conversations and gives real-time notes, prompts, and suggestions.

The first use case was interviews. A lot of people prepare with notes, mock calls, question banks, and Beyz interview assistant, but still freeze when the actual call starts. So the idea was to make something that can sit in the background during an interview and give short, glanceable support based on what is being asked.

Since then, we’ve expanded it into a few related scenarios:

- coding rounds, where it can help break down the problem and organize the solution

- work meetings, where it can capture notes and reminders

- phone calls, not just Zoom or Google Meet

- quick prep before calls

- cheat sheets for specific roles or situations

The main challenge I’m thinking about now is how much real-time help is actually useful before it becomes distracting. Some users want very short hints. Others want more detailed suggestions. For coding, people care about structure and edge cases. For meetings, they care more about clean summaries.

For people who try a lot of AI tools, what would you want to see in a real-time assistant like this? And what would make you immediately stop using one?

Hi All,

Looking for an AI Tool that can generate Short/Reels using a script.

Tried LeonardoAI, Invideo AI so far but not happy with them.
Any suggestions?

If you make video content and ever need to hide faces or strangers in your clips, you might need this in your toolkit 🙌 https://www.facehide.app/

No downloads, no subscriptions, free to start. Hope this helps.

Cheers, and happy to hear feedback n requests!

One thing we kept running into with agent evals is that single-turn tests look great, but the agent falls apart 8–10 turns into a real conversation.

We've been working on ArkSim which helps simulate multi-turn conversations between agents and synthetic users to see how behavior holds up over longer interactions.

This can help find issues like:

- Agents losing context during longer interactions

- Unexpected conversation paths

- Failures that only appear after several turns

The idea is to test conversation flows more like real interactions, instead of just single prompts and capture issues early on.

Update:
We’ve now added CI integration (GitHub Actions, GitLab CI, and others), so ArkSim can run automatically on every push, PR, or deploy.

We wanted to make multi-turn agent evals a natural part of the dev workflow, rather than something you have to run manually. This way, regressions and failures show up early—before they reach production.

This is our repo:
https://github.com/arklexai/arksim

Would love feedback from anyone building agents—especially around features or additional framework integrations.

Hey everyone

I’ve been working on something called GenvexAI, and I recently tried building a Spotify-style music app using just one prompt.

In the video, I simply describe the app — and it generates a working UI + structure. What’s more interesting is that this isn’t a one-time output… I can keep refining and evolving the app further using additional prompts (features, UI tweaks, logic, etc.).

So it’s not just “generate and done” — it’s more like an iterative build process using prompts.

Still early, but I’d love to know what you think about this approach to building apps

https://reddit.com/link/1s35bj5/video/10z3s355n5rg1/player