#flux dev

[drynironed]

More from my tech trial with Flux 1 dev. It takes at least 4 times more steps than Flux 1 schnell and I feel that additional effort shows in the results. In this case I've selected 4 out of 9 from the same prompt. For my purposes the 1200x1440 results don't require additional upscaling. Both because of the license restrictions (non-commercial only) and the resource consumption it probably won't be offered online in many places @ai-satin-chic.

[dreamsyntax1]

Tim Burton style

[seriously-mike]

I decided to test the new version of Stable Diffusion, called Flux. The prompt is at least similar to what I tested SDXL 1.0 with, a hippie girl wearing a t-shirt with the words "Everything Will Be Alright".

Well, shit. The thing is an absolute fucking behemoth, with a 11 GB data model and 5 GB dictionary, so it put my 8 GB video card and brand new 32 GB of DDR5 system RAM through a wringer. Rendering just one picture took about forty minutes when, for comparison, both SD 1.5 and SDXL need about a minute and a half. But it does replicate text fairly well, with minor typos if any and solid legibility. I also tried a web-based setup on the developers' site that's incomparably faster but still making typos (for example, I got a period-accurate white t-shirt with the phrase set in Cooper Black typeface, but it said "everything will be arright").

Also, from what I'm seeing, Flux not only messed up the number of fingers only once in a lot of pictures generated by multiple people, but can also, finally, draw guns correctly, something that annoyed me in Stable Diffusion for a long time. However, it's not that good at replicating art, being aggressively photorealistic no matter the prompt - I tried to ask the web-based setup for a replica of Rembrandt's style, something that the previous models did fairly well, got jack shit.

Also, a curious thing: I tried the Glurb prompt, a streak of random nonsense that returned goblins in every previous version of Stable Diffusion no matter the specific model, and the web-based setup returned something much closer to people's attempts in Midjourney instead - meaning that the entire thing was rewritten from scratch and not based on any previous version.

[dead-and-dreaming]

strange dreaming :: FLUX1-dev-bnb-nf4.v2

[tipteckder49]

Flux Dev vs Flux Schnell — в чем разница, сравнение моделей и что выбрать

Нейросеть для стоковых фотографий 2026 Нейросеть для стоковых фотографий 2026

Иногда кажется, что рынок стоковых изображений уже переполнен — тысячи одинаковых фото, одни и те же улыбки, те же ракурсы… Но вот парадокс: спрос только растёт. И здесь на сцену выходят нейросети. Причём не просто генераторы картинок, а полноценные инструменты редактирования, вроде тех, что доступны, например, через https://clk.st/ZMR21tO — там я впервые нормально «пощупал» продвинутую генерацию и редактирование под реальные задачи. Честно? Сначала скептически отнёсся. Но потом… затянуло.

Нейросеть для стоковых фотографий: как всё устроено в 2026 году

Если говорить по-человечески, нейросеть для стоковых фотографий — это не просто генератор картинок по запросу. Это уже целый набор инструментов:

генерация изображений с нуля

редактирование отдельных элементов

дорисовка (outpainting)

улучшение качества

стилизация

И вот что важно — в 2026 году ключевой тренд не в генерации, а в гибком редактировании уже существующих изображений.

Почему? Потому что стоки (Shutterstock, Adobe Stock и т.д.) требуют:

реалистичности

уникальности

отсутствия артефактов

А чистая генерация часто даёт «сырой» результат. Тут и приходит на помощь, например, Flux Редактор от Syntx AI.

Генерация изображений для фотостоков: почему одной нейросети мало

Многие новички думают: «Сейчас нагенерю 1000 картинок и залью на стоки». Спойлер — не работает.

Проблемы:

Повторяемость (алгоритмы любят шаблоны)

Ошибки анатомии

Нереалистичные детали

Артефакты (особенно в руках, глазах, тексте)

Я сам на этом обжёгся — загрузил партию изображений, и половину отклонили. Причина? «Низкое качество и визуальные дефекты».

Вот тут начинается интересное…

Flux Редактор: нейросеть для редактирования стоковых фото

Flux Редактор — это инструмент, который позволяет не генерировать заново, а исправлять и улучшать изображение точечно.

📌 Принцип работы простой (но мощный):

загружаешь изображение

выделяешь область

пишешь промпт

нейросеть заменяет только выбранный участок

Вот как это выглядит:

И знаете, что самое ценное? Изменения выглядят естественно. Без «швов» и странных переходов.

Как работает редактирование изображений нейросетью (на практике)

Редактирование области: точечный контроль

Сценарий:

Допустим, у вас есть фото:

модель хорошая

свет ок

но… руки выглядят странно

Что делаем:

Выделяем проблемную область

Пишем промпт: реалистичные руки, правильная анатомия

Генерируем

И всё. Не нужно переделывать всё изображение.

Кстати, маленький лайфхак… Не пишите слишком длинные промпты. Иногда короткие работают лучше.

Дорисовка изображений (outpainting)

А вот это вообще магия.

Нужно сделать:

горизонтальное фото из квадратного

добавить фон

расширить сцену

Используем «дорисовку по сторонам».

Пример:

Было — портрет Стало — полноценная сцена с окружением

И всё это без фотошопа.

Нейросеть для стоковых фотографий: реальные кейсы

Кейc 1: Фото товара для маркетплейса

У меня был обычный снимок товара:

нормальный свет

но скучный фон

Что сделал:

выделил фон

добавил промпт: минималистичный интерьер, мягкий свет

Результат — фото стало выглядеть как из каталога IKEA.

Кейc 2: Исправление кожи

Частая проблема:

пересвет

шум

неровная текстура

Решение:

Промпт: идеальная кожа, естественная текстура

Важно: не переборщить. Иначе получится «пластик».

Кейc 3: Креативные элементы

Добавил коту корону. Да, звучит странно, но…

И такие изображения отлично заходят на стоках в категории «concept».

Промпты для генерации изображений: как писать правильно

Вот где большинство ошибается.

Плохой промпт:

красивый человек

Хороший:

молодой мужчина, естественный свет, студийная съемка, нейтральный фон, реалистичная кожа

Но есть ещё один момент — негативные промпты.

Негативные промпты (must-have для стоков)

Чтобы у

Теги

генерация изображений с нуля, редактирование отдельных элементов, дорисовка (outpainting), улучшение качества, стилизация, реалистичности, уникальности, отсутствия артефактов, Повторяемость (алгоритмы любят шаблоны), Ошибки анатомии, Нереалистичные детали, Артефакты (особенно в руках, глазах, тексте), загружаешь изображение, выделяешь область, пишешь промпт, нейросеть заменяет только выбранный участок, модель хорошая, свет ок, но… руки выглядят странно, Выделяем проблемную область, Пишем промпт: реалистичные руки, правильная анатомия, Генерируем, горизонтальное фото из квадратного, добавить фон, расширить сцену, нормальный свет, но скучный фон, выделил фон, добавил промпт: минималистичный интерьер, мягкий свет, пересвет, шум, неровная текстура, blurry (размытый), low quality, extra fingers, watermark, text, bad anatomy, экономия времени, масштабируемость, гибкость, возможность исправлять ошибки, не всегда точный результат, требуется практика, возможны артефакты, платные токены, Слишком сложные промпты, Попытка исправить всё сразу, Иг Нейросеть для стоковых фотографий 2026

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[seriously-mike]

"She looks like Taylor Swift! How the fuck did it turn my face into Taylor Swift?!"

So I tried wringing something in the style of 1930s opera costume photos while using one of the iterations of Photobooth from Hell, and I got... this. Of course the data model wiped the fuck out on "winged viking helmet", but the rest looks acceptable.

If you wanted Tay Tay's 1936 tour, that is.

[queencaffeineai]

Top 10 AI Tools of 2025: Reliable and Stable Performers

In the fast-paced world of AI, it’s easy to get caught up in the buzz surrounding new tools. But for creators and professionals alike, reliability and consistency are what truly matter. This article highlights the top AI tools of 2025 that have stood the test of time, offering dependable performance and innovative features. Whether you’re a designer, video editor, researcher, or musician, these tools are trusted solutions that deliver real value without the risk of being a fleeting trend.

In no particular order, here are my pics for the top AI tools of 2025!

1. Canva

Pros:

User-friendly interface with intuitive drag-and-drop functionality

Extensive template library covering diverse design needs

Regular updates that maintain stability while adding new features

Cons:

Limited advanced design capabilities compared to professional software

Premium features can become costly over time

Internet dependency can disrupt workflows during connection issues

Canva continues to reign as the most reliable design platform, blending innovation with accessibility. Its intuitive drag-and-drop interface and extensive library of over 800,000 templates cater to users ranging from casual designers to enterprise teams. The integration of Leonardo AI in 2024 introduced features like Magic Studio, Magic Write, and Magic Edit, enabling seamless AI-powered image generation without disrupting Canva's core functionality. Accessibility is another area where Canva shines, offering dyslexia-friendly fonts, screen reader optimization, and keyboard navigation to ensure inclusivity. While premium features can be costly and internet dependency may occasionally disrupt workflows, Canva’s consistent updates and transparent pricing make it a standout choice for creative professionals and hobbyists alike.

2. Freepik

Pros:

Multiple AI models (Mystic, Flux, Google Imagen) for versatile outputs

Exceptional customer support with responsive problem-solving

Clear content ownership rights for AI-generated assets

Cons:

Mobile experience is significantly limited compared to web version

Video generation consumes substantial credits, limiting experimentation

Bundled subscription includes features many users don't need

Freepik has evolved into a comprehensive AI-powered creative ecosystem, integrating multiple state-of-the-art models like Mystic, Flux, Google Imagen, and Ideogram. These tools enable users to generate photorealistic imagery, commercial assets, and diverse body representations with ease. Freepik’s February 2025 Terms of Service update clarified ownership rights for AI-generated assets, removing barriers for professional use. Its exceptional customer support—via Discord and responsive channels—enhances the user experience further. While mobile functionality remains limited and video generation is credit-intensive, Freepik’s versatility and community-driven approach make it an indispensable tool for creators looking for both stock assets and advanced AI capabilities.

3. Suno

Pros:

High-quality audio generation with excellent stem separation tools

Minimal downtime ensuring reliable performance

Straightforward interface suitable for both professionals and hobbyists

Cons:

Limited innovation compared to emerging competitors

Features primarily optimized for desktop with weak mobile support

Narrow specialization restricts broader creative applications

Suno excels in AI music generation with its V4 update introducing improved audio clarity, dynamic song structures, and enhanced vocal generation capabilities. The remaster feature allows users to refine tracks by optimizing vocal naturality and frequency utilization. Suno’s straightforward interface makes it accessible to both professionals and hobbyists, while its minimal downtime ensures reliable performance. However, the platform faces challenges such as limited stem separation options (vocal/instrumental only), file format restrictions, and ongoing legal issues regarding copyrighted training data. Despite these hurdles, Suno remains a top choice for users seeking high-quality audio generation tools at an affordable price point.

4. Gigapixel AI (Topaz Labs)

Pros:

Industry-leading image upscaling with minimal artifacts

Consistent performance across software updates

Seamless workflow integration for creative professionals

Cons:

Limited to image enhancement without broader creative features

One-time purchase model lacks subscription flexibility

Resource-intensive processing on older hardware

Gigapixel AI has cemented itself as the industry standard for image upscaling by focusing exclusively on resolution enhancement while preserving authentic details. Its advanced algorithms reduce noise without introducing artificial elements, making it ideal for professionals in photography or forensics who demand accuracy. The 2024 desktop update improved processing speeds significantly while maintaining output quality, and its new mobile upscaler delivers consistent results across devices. While Gigapixel lacks broader creative features or batch processing options, its precision-driven approach ensures it remains the go-to solution for anyone requiring reliable image enhancement.

5. Leonardo AI

Pros:

Superior upscaling capabilities among the best in the industry

Steady refinement of existing features like LoRAs

Dedicated support channels via Discord and Intercom

Cons:

Development stagnation with minimal innovation

Limited mobile functionality requiring desktop for key features

Community frustration from unrequested feature releases

Leonardo AI has maintained its reputation for superior upscaling capabilities despite stagnation in innovation following its acquisition by Canva in 2024. The platform’s Phoenix model delivers consistent results but struggles with text generation compared to competitors like Flux or Ideogram. While its upscaler is among the best in the industry, limitations such as one-by-one file processing and lack of mobile functionality frustrate users seeking efficiency. Community feedback has highlighted dissatisfaction with unrequested feature releases like LoRAs; however, Leonardo’s dedicated support channels via Discord remain a strong point. Though development has slowed under Canva’s management, Leonardo still offers reliable tools for professional creators.

6. Grammarly

Pros:

Accurate grammar, tone, and clarity suggestions

Seamless cross-platform integration (browsers, apps, etc.)

Regular updates ensuring consistent reliability

Cons:

Advanced features locked behind premium subscription

Struggles with complex or highly technical writing

Occasionally misinterprets context in creative writing

Grammarly remains the gold standard for writing assistance thanks to its accurate grammar corrections, tone adjustments, and clarity improvements across multiple platforms (browsers, apps, mobile keyboards). Its enterprise adoption has grown significantly as teams leverage Grammarly Business for consistent communication standards. The platform’s privacy-first approach ensures sensitive documents are handled securely—a key factor driving its popularity among professionals and students alike. While premium subscriptions unlock advanced features like engagement metrics or complex tone suggestions, Grammarly occasionally struggles with highly technical or creative writing contexts. Nonetheless, it continues to be an indispensable tool for anyone aiming to refine their written communication.

7. Perplexity

Pros:

Exceptional internet access for real-time research

Competitive pricing compared to standalone models

Integration of multiple AI models for diverse tasks

Cons:

Interface can overwhelm users unfamiliar with research tools

Lacks advanced creative generation features (visual/audio)

Internet dependency limits offline capabilities

Perplexity AI remains at the forefront of research-oriented AI tools, integrating cutting-edge models like R1, GPT-4.5, and Claude 3.7. These work alongside Perplexity’s proprietary Sonar and Sonar Pro systems, delivering fast, accurate answers with built-in citations. With expanded context windows up to 16k tokens, Perplexity efficiently processes larger datasets. However, the platform’s low input token count can be a constraint for more extensive queries. Despite this limitation, Perplexity’s commitment to integrating the latest AI advancements keeps it competitive in the rapidly evolving landscape of AI-powered research tools.

8. Kling

Pros:

Reliable performance within its specialized domain

Minimal downtime ensuring workflow continuity

Simple interface accessible to beginners and professionals

Cons:

Narrow focus limits appeal outside its niche

Infrequent feature updates or innovations

Less robust customer support compared to competitors

Kling specializes in high-quality image-to-video conversion within Freepik’s ecosystem, delivering visually stunning results through thoughtful motion presets like Push In/Out or Orbit movements that simplify storytelling workflows. Its consistency within this niche makes it invaluable for creators focused on visual fidelity rather than experimental video generation techniques. However, Kling faces limitations such as infrequent updates and credit-intensive economics typical of resource-heavy video tools. Despite these constraints, Kling excels at maintaining aesthetic integrity during conversion processes—a rare strength among current-generation video tools.

9. Flux Dev, Schnell, Pro, Ultra, Raw

Pros:

Produces visually stunning images with exceptional detail

Generates images significantly faster than many competitors

Offers tailored versions for different needs at different price points (Pro, Dev, Schnell)

Cons:

No refunds offered due to resource-intensive nature

Primarily supports English with varying accuracy for other languages

Higher tier versions can be expensive for casual users

Flux has emerged as a leader in AI image generation by delivering visually stunning outputs tailored to specific needs through its specialized models (e.g., Ultra for high-resolution imagery; Raw for photographic authenticity). Developed by former Stability AI researchers behind Stable Diffusion models, Flux strategically entered the market at a time when competitors faltered—cementing its position through genuine technical excellence rather than marketing hype. While premium pricing may deter casual users and refunds are unavailable due to resource demands during generation processes, Flux remains a cornerstone tool for professional creators who value speed and quality over gimmicks.

10. Runway

Pros:

Comprehensive suite of video editing and motion graphics tools

Regular updates maintaining stability without disrupting workflows

Intuitive interface designed for creative professionals

Cons:

Credit-based system limits high-volume output potential

Requires high-performance hardware for advanced features

Limited support for non-video creative tasks

Runway continues to dominate AI video creation with its Gen-3 Alpha Model powering cinematic-quality outputs alongside advanced editing tools like background removal or lip sync synchronization. Its intuitive interface caters to both beginners and seasoned professionals alike while maintaining stability through regular updates that avoid disrupting workflows unnecessarily. However, Runway’s credit-based pricing model limits experimentation opportunities for smaller teams or individual creators working on larger projects—a challenge compounded by hardware requirements for advanced features. Despite these barriers, Runway stands as an industry standard thanks to its comprehensive suite of motion graphics tools designed specifically for professional-level video production.

Conclusion

As we navigate an increasingly AI-driven future, choosing tools that prioritize stability and proven functionality is more important than ever. The platforms featured in this list are not just leaders in their respective fields but also reliable companions for creators and professionals looking to push boundaries without compromising quality. By focusing on tools that are built to last, you can ensure your workflow remains efficient and productive throughout 2025 and beyond.

[seriously-mike]

I think I did mention that AI can't draw guns for shit. Multiple times, actually.

So yesterday, while watching a Dune: Awakening livestream, I had the idea for a fairly simple concept. Fremen girl with a magnetic jezail or whatever orientalist technobabble you could come up with for a railgun or otherwise techno-feudal era rifle. Unsurprisingly, I got something kinda shit on both takes with my (finally updated) ComfyUI that, as it turns out, can now run Flux Dev, including GGUF quantized models correctly. But, looking at the trigger guard-ish shape on the first one that originally was a blank lump of wood with a weird metal strip on the bottom, I got an idea: how about pasting a photo of a Mauser trigger guard there, with some masking jiggery-pokery to slip a nondescript piece of the stillsuit behind it? Of course, originally "Mauser" was supposed to be the Kar98K replica that I just couldn't be arsed to get out of the guitar case stashed in the closet, so I got the Broomhandle from the drawer instead, and put a random pair of shorts behind the trigger guard as a placeholder. Half an hour of massaging the whole thing in Photoshop later, I got something that looks coherent enough - it's still a nonsensical clusterfuck if you look closely, but at least it seems to have some of the usual worky bits where they should be.

After being pleased with the job and looking at the second one, I said "fuck it" and got the other Mauser out of the closet - this time photographed against a tan bedsheet to get the lighting and edges right. Unfortunately, the AI-generated woodgrain was too fucking weird to play nice with the actual one, so I used the outline of the stock as a guideline to copy, warp and otherwise carve the image into shape. All that's left of the worky bits are the trigger and the magazine bottom plate, but it's still better than whatever the AI-wrangling monkey in a local publishing house did. All in an hour at 3AM.

Next thing you know, I'll be trying to fit the BRRRRT into the hand of AI-generated Tess Bailey.