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𝐒𝐔𝐏𝐈𝐑: An advanced image restoration method that combines generative prior and model scaling,using a 20-million image dataset, and can manipulate restorations with textual prompts. Kudos to Fanghua Yu Jinjin Gu Xintao Wang et al🚀 SUPIR supports Gradio demo in repo [links👇]

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Gradio

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56,351 görüntüleme • 2 yıl önce •via X (Twitter)

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Gradio2 yıl önce

Local Gradio demo: Project: Authors planning to release a hosted demo soon.

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Rainmaker2 yıl önce

Here I share an XGBoost model that delivers a 25% CAGR with minimal drawdown on Visa stock. In this free Substack post I share code and commentary for a powerful Machine Learning strategy that delivers powerful returns.

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Bob Roberts2 yıl önce

@JasonGUTU @xinntao Worth comparing the output with the original high-res image to take "Remarkable" "High-fidelity Image Restoration" with a grain of salt. Upscaled details (e.g. brand, plate number) remain hallucinated, not magically "restored". Fidelity doesn't refer to reality or original image.

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Bryce Amacker2 yıl önce

@JasonGUTU @xinntao @memdotai mem it

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MagicSketch 🤩 Interactive image editing Gradio app. 🤯 An MLLM even infers editing intent in real-time and generates a prompt for inpainting for you!
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MagicSketch 🤩 Interactive image editing Gradio app. 🤯 An MLLM even infers editing intent in real-time and generates a prompt for inpainting for you!

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ByteDance announced SeedEdit! A new image model that can edit images with text prompts. It allows for high-resolution editing and supports various changes like local replacements, geometric transformations, and style adjustments. Links ⬇️
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ByteDance announced SeedEdit! A new image model that can edit images with text prompts. It allows for high-resolution editing and supports various changes like local replacements, geometric transformations, and style adjustments. Links ⬇️

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Gabriele Berton

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This is amazing! You can now create high-quality 3D Scenes from a single image using Multi-Instance Diffusion Models (MIDI) 🔥
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This is amazing! You can now create high-quality 3D Scenes from a single image using Multi-Instance Diffusion Models (MIDI) 🔥

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2. Use the generated image as an image prompt for Runway or any video model that supports End-Frames. Use the image as the final/last frame and create a prompt that reveals the image in an ink-style animation. Example prompt:
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2. Use the generated image as an image prompt for Runway or any video model that supports End-Frames. Use the image as the final/last frame and create a prompt that reveals the image in an ink-style animation. Example prompt:

Halim Alrasihi

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Introducing the EASIEST way to fine-tune Qwen 2 VL with a Hugging Face dataset! (Link to repo in first reply). You can either fine-tune inside or a Gradio app or with a single line of Python. Simply select your favorite image-text dataset and fine-tune! A special thanks to Faen Zhang and all those at HuggingFace and those behind Qwen 2 VL. blog coming soon!
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Introducing the EASIEST way to fine-tune Qwen 2 VL with a Hugging Face dataset! (Link to repo in first reply). You can either fine-tune inside or a Gradio app or with a single line of Python. Simply select your favorite image-text dataset and fine-tune! A special thanks to Faen Zhang and all those at HuggingFace and those behind Qwen 2 VL. blog coming soon!

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A Gradio demo of Rodin Gen-1.5 Image to 3D Geometry Generation🚀 Use #BlackMythWokong as input image🔥❤️ High-fidelity Surface than ever💥

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We have implemented an image painter using DiffSynth, which support FLUX, Kolor, HunyuanDit, Stable Diffusion series. AK Gradio gradio demo is here: #DiffSynthPainter #InteractiveArt #InnovativePainting
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We have implemented an image painter using DiffSynth, which support FLUX, Kolor, HunyuanDit, Stable Diffusion series. AK Gradio gradio demo is here: #DiffSynthPainter #InteractiveArt #InnovativePainting

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Adobe is entering the image-to-3D game! Their new method, LRM, can create high-fidelity 3D meshes from a single image in just 5 seconds 🔥 It's trained on 1 million objects and is able to generate objects from real-world images and generative AI models.

Dreaming Tulpa 🥓👑

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Integrate Gemini and Imagen APIs into your Flutter applications using the `firebase_ai` package 🪄🔥 In this video, you'll discover different model types for generative content and image generation, constructing multi-modal prompts, and handling responses.
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[1/2] We’ve released the code for #pix2pixturbo and #CycleGANTurbo. These conditional GANs are able to adapt a text-to-image model such as SD-Turbo for both paired and unpaired image translation with a single step (0.11 sec on A100 and 0.29 sec on A6000). Try our code and the Gradio demo. Paper: Code: Demo: This is a joint work with Gaurav Parmar (the leading author), Taesung Park, and Srinivasa Narasimhan. This work shows that a pre-trained one-step model can be easily adapted to conditional GANs frameworks for downstream image editing and synthesis tasks. #Edges2Cats

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