# image-to-image

Published articles for image-to-image.

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## Rebuilding AUTOMATIC1111 with Gradio Workflow

DevFeed: [Rebuilding AUTOMATIC1111 with Gradio Workflow](<https://devfeed.tech/articles/rebuilding-automatic1111-with-gradio-workflow-7233.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/gradio-workflow-1111>)

Author: yuvraj sharma; Abubakar Abid

Published: 2026-09-10T00:00:00Z

Content type: tutorial

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [AI Development](<https://devfeed.tech/topics/ai-development.md>), [Graphs](<https://devfeed.tech/topics/graphs.md>), [stable-diffusion](<https://devfeed.tech/topics/stable-diffusion.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [vlm](<https://devfeed.tech/topics/vlm.md>)

Tags: [automatic1111](<https://devfeed.tech/tags/automatic1111.md>), [comfyui](<https://devfeed.tech/tags/comfyui.md>), [diffusion](<https://devfeed.tech/tags/diffusion.md>), [flux](<https://devfeed.tech/tags/flux.md>), [gradio](<https://devfeed.tech/tags/gradio.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [image-to-image](<https://devfeed.tech/tags/image-to-image.md>), [image-to-video](<https://devfeed.tech/tags/image-to-video.md>), [inference](<https://devfeed.tech/tags/inference.md>), [inference-providers](<https://devfeed.tech/tags/inference-providers.md>), [llm](<https://devfeed.tech/tags/llm.md>), [models](<https://devfeed.tech/tags/models.md>), [python](<https://devfeed.tech/tags/python.md>), [space](<https://devfeed.tech/tags/space.md>), [spaces](<https://devfeed.tech/tags/spaces.md>), [text-to-image](<https://devfeed.tech/tags/text-to-image.md>), [vlm](<https://devfeed.tech/tags/vlm.md>), [workflow](<https://devfeed.tech/tags/workflow.md>), [workflows](<https://devfeed.tech/tags/workflows.md>)

### AI overview

A walkthrough of Workflow1111, a Gradio graph that recreates AUTOMATIC1111-style media pipelines with connected operator nodes for image generation, editing, prompting, and related tasks.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.

## Alice AI ART 2.0: путь к unified-модели, которая одинаково хорошо умеет генерировать и редактировать картинки

DevFeed: [Alice AI ART 2.0: путь к unified-модели, которая одинаково хорошо умеет генерировать и редактировать картинки](<https://devfeed.tech/articles/alice-ai-art-2-0-unified-24868.md>)

Original publisher: [Read original article](<https://habr.com/ru/companies/yandex/articles/1058630/>)

Author: snk4tr (Яндекс)

Published: 2026-07-14T08:40:58Z

Content type: article

Language: ru

Sources: [Яндекс - Как мы делаем Яндекс / Статьи](<https://devfeed.tech/sources/source.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [text-to-image](<https://devfeed.tech/topics/text-to-image.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-art](<https://devfeed.tech/tags/ai-art.md>), [alice-ai](<https://devfeed.tech/tags/alice-ai.md>), [image-editing](<https://devfeed.tech/tags/image-editing.md>), [image-to-image](<https://devfeed.tech/tags/image-to-image.md>), [tag-5db67948c7d9](<https://devfeed.tech/tags/tag-5db67948c7d9.md>), [tag-d346fb5ae499](<https://devfeed.tech/tags/tag-d346fb5ae499.md>), [tag-e493b9551702](<https://devfeed.tech/tags/tag-e493b9551702.md>), [text-to-image](<https://devfeed.tech/tags/text-to-image.md>), [unified-models](<https://devfeed.tech/tags/unified-models.md>)

### AI overview

A team developing Alice AI ART describes its effort to unify text-to-image generation and instruction-based image editing in one model. The article covers the previous split architecture, the motivation for unification, and the evaluation datasets used to measure quality.

### Source excerpt

Привет, Хабр! На связи команда генеративных моделей в компьютерном зрении. Вместе с другими командами мы делаем мультимодального ассистента Алиса AI. Внутри него мы развиваем несколько вариантов визуальной генерации с помощью отдельной модели Alice AI ART. Два базовых сценария её работы -- генерация по тексту (Text-to-Image, T2I) и редактирование по картинке с инструкцией (Image-to-Image, I2I). Именно о них пойдёт речь. Всё это время эти сценарии жили как два разных стека: свои базовые модели, свои данные, свои метрики и, честно говоря, своя отдельная боль в разработке и поддержке. В этом году мы поставили себе цель, которая звучала просто, а на практике оказалась полугодовым приключением: не только подтянуть качество, а сделать одну модель, которая одинаково хорошо умеет и в T2I, и в I2I. Внутри мы называем такой режим unified или просто uni. Вас ждёт рассказ об отдельных экспериментах и наблюдениях, которые помогли нам сделать первый шаг в этом направлении и привели нас к Alice AI ART 2.0, -- включая те, которые красиво не сработали (спойлер: их хватало). Читать далее

## Vehicle Search with SQL and Vector Embeddings

DevFeed: [Vehicle Search with SQL and Vector Embeddings](<https://devfeed.tech/articles/vehicle-search-with-sql-and-vector-embeddings-23822.md>)

Original publisher: [Read original article](<https://cockroachlabs.com/blog/vehicle-search-sql-vector-embeddings>)

Author: Alejandro Infanzon

Published: 2026-01-27T00:00:00Z

Content type: tutorial

Language: en

Sources: [Cockroach Labs](<https://devfeed.tech/sources/cockroach-labs.md>)

Topics: [CockroachDB](<https://devfeed.tech/topics/cockroachdb.md>), [AI search](<https://devfeed.tech/topics/ai-search.md>), [SQL](<https://devfeed.tech/topics/sql.md>), [Python](<https://devfeed.tech/topics/python.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [cockroachdb](<https://devfeed.tech/tags/cockroachdb.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [image-to-image](<https://devfeed.tech/tags/image-to-image.md>), [python](<https://devfeed.tech/tags/python.md>), [search](<https://devfeed.tech/tags/search.md>), [sql](<https://devfeed.tech/tags/sql.md>), [vector](<https://devfeed.tech/tags/vector.md>), [vector-search](<https://devfeed.tech/tags/vector-search.md>)

### AI overview

A tutorial demonstrating a vehicle-search application that uses Python, SQL, CockroachDB, vector embeddings, and image-to-image similarity search. Users can search for visually similar cars from an image while applying price filters.

### Source excerpt

"I'll know it when I see it" is the classic car buyer's line, but it's also the one thing old-school search bars totally fail to deliver. Traditional keyword search fails when a customer wants a car that "looks like this photo from Fast and Furious." This is where vector search comes in, transforming unstructured data into mathematical vectors to find semantically similar items.

## Make your ZeroGPU Spaces go brrr with ahead-of-time compilation

DevFeed: [Make your ZeroGPU Spaces go brrr with ahead-of-time compilation](<https://devfeed.tech/articles/make-your-zerogpu-spaces-go-brrr-with-ahead-of-time-compilation-7575.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/zerogpu-aoti>)

Author: Charles Bensimon; Sayak Paul; Linoy Tsaban; Apolinário from multimodal AI art

Published: 2025-09-02T00:00:00Z

Content type: tutorial

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [RAPIDS](<https://devfeed.tech/topics/rapids.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [fly](<https://devfeed.tech/topics/fly.md>), [PyTorch](<https://devfeed.tech/topics/pytorch.md>), [quantization](<https://devfeed.tech/topics/quantization.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [compilation](<https://devfeed.tech/tags/compilation.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [guide](<https://devfeed.tech/tags/guide.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [image-to-image](<https://devfeed.tech/tags/image-to-image.md>), [image-to-video](<https://devfeed.tech/tags/image-to-video.md>), [inference](<https://devfeed.tech/tags/inference.md>), [latency](<https://devfeed.tech/tags/latency.md>), [models](<https://devfeed.tech/tags/models.md>), [optimization](<https://devfeed.tech/tags/optimization.md>), [python](<https://devfeed.tech/tags/python.md>), [pytorch](<https://devfeed.tech/tags/pytorch.md>), [quantization](<https://devfeed.tech/tags/quantization.md>), [spaces](<https://devfeed.tech/tags/spaces.md>), [text-to-image](<https://devfeed.tech/tags/text-to-image.md>), [zerogpu](<https://devfeed.tech/tags/zerogpu.md>)

### AI overview

This tutorial explains how to use PyTorch ahead-of-time compilation in ZeroGPU Spaces. It covers faster model startup and inference, FP8 quantization, dynamic shapes, and the process-based GPU allocation model used by ZeroGPU, with reported speedups of 1.3x-1.8x on Flux, Wan, and LTX models.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.