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PAIR-Diffusion: Object-Level Image Editing with Structure-and-Appearance Paired Diffusion Models Gradio demo is out on Hugging Face Spaces demo:

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AK

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87,852 görüntüleme • 3 yıl önce •via X (Twitter)

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Growhouse3 yıl önce

@Gradio @huggingface Love it! just a note: the person is snowboarding, not skiing.

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@Gradio @huggingface 国产影视剧，塌房艺人拯救器

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try out the Gradio Demo for AudioLDM: Text-to-Audio Generation with Latent Diffusion Models on Hugging Face demo:
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try out the Gradio Demo for AudioLDM: Text-to-Audio Generation with Latent Diffusion Models on Hugging Face demo:

AK

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Nvidia announces Stable Diffusion Models Accelerated with NVIDIA TensorRT featuring a1111 Gradio demo demo:
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Nvidia announces Stable Diffusion Models Accelerated with NVIDIA TensorRT featuring a1111 Gradio demo demo:

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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 announced DRAGON on Hugging Face Distributional Rewards Optimize Diffusion Generative Models
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Adobe announced DRAGON on Hugging Face Distributional Rewards Optimize Diffusion Generative Models

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🤯ByteDance's official StoryDiffusion demo is already out on Hugging Face Spaces! 🙌The comics-related codes are public now. Kudos to Zhou Daquan et al. for the great work. Links and more 👇
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🤯ByteDance's official StoryDiffusion demo is already out on Hugging Face Spaces! 🙌The comics-related codes are public now. Kudos to Zhou Daquan et al. for the great work. Links and more 👇

Gradio

88,848 görüntüleme • 2 yıl önce

🚀 Excited to introduce Qwen-Image-Edit! Built on 20B Qwen-Image, it brings precise bilingual text editing (Chinese & English) while preserving style, and supports both semantic and appearance-level editing. ✨ Key Features ✅ Accurate text editing with bilingual support ✅ High-level semantic editing (e.g. object rotation, IP creation) ✅ Low-level appearance editing (e.g. addition/delete/insert) Try it now: Hugging Face: ModelScope: Blog: Github: API:
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🚀 Excited to introduce Qwen-Image-Edit! Built on 20B Qwen-Image, it brings precise bilingual text editing (Chinese & English) while preserving style, and supports both semantic and appearance-level editing. ✨ Key Features ✅ Accurate text editing with bilingual support ✅ High-level semantic editing (e.g. object rotation, IP creation) ✅ Low-level appearance editing (e.g. addition/delete/insert) Try it now: Hugging Face: ModelScope: Blog: Github: API:

Qwen

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I'm thrilled to announce the launch of ⚡️Flash Diffusion from Jasper! Earlier this year, with our acquisition of Clipdrop, we launched the Jasper AI Research Lab in Paris. Today, we are excited to release our first piece of groundbreaking research: the open-source distillation method, "Flash Diffusion". Flash Diffusion accelerates inference by 500%, reduces computing costs, and produces higher-quality image outputs. Dive into the details and discover how Flash Diffusion is set to revolutionize the field of AI and image synthesis. Read all about it here: Try a demo on Hugging Face:
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I'm thrilled to announce the launch of ⚡️Flash Diffusion from Jasper! Earlier this year, with our acquisition of Clipdrop, we launched the Jasper AI Research Lab in Paris. Today, we are excited to release our first piece of groundbreaking research: the open-source distillation method, "Flash Diffusion". Flash Diffusion accelerates inference by 500%, reduces computing costs, and produces higher-quality image outputs. Dive into the details and discover how Flash Diffusion is set to revolutionize the field of AI and image synthesis. Read all about it here: Try a demo on Hugging Face:

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We are thrilled to announce "Layered Diffusion Brushes": a real-time training-free image editor powered by diffusion models. 🎨✨ This is new work from my PhD student Peyman Gholami Peyman Gholami. Explore the interactive demo and check out more videos at:
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We are thrilled to announce "Layered Diffusion Brushes": a real-time training-free image editor powered by diffusion models. 🎨✨ This is new work from my PhD student Peyman Gholami Peyman Gholami. Explore the interactive demo and check out more videos at:

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Dreamix: Video Diffusion Models are General Video Editors abs: project page: present diffusion-based method that is able to perform text-based motion and appearance editing of general videos
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Dreamix: Video Diffusion Models are General Video Editors abs: project page: present diffusion-based method that is able to perform text-based motion and appearance editing of general videos

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EasyControl just dropped on Hugging Face Adding Efficient and Flexible Control for Diffusion Transformer Free chatgpt style ghibli image generation with easy control
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EasyControl just dropped on Hugging Face Adding Efficient and Flexible Control for Diffusion Transformer Free chatgpt style ghibli image generation with easy control

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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) 🔥

Gradio

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Just got early access to Aleph, a new in-context video model from Runway. Here’s a snippet of my first experiment using a toy car. Audio added with the MMAudio Gradio demo on Hugging Face spaces
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Just got early access to Aleph, a new in-context video model from Runway. Here’s a snippet of my first experiment using a toy car. Audio added with the MMAudio Gradio demo on Hugging Face spaces

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MVDiffusion: How to take a pre-trained text2image model for a perspective view (e.g., Stable Diffusion) and retrain to generate multiple consistent views (e.g., a panorama). Project site: Hugging Face demo: Code out in a month.

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Introducing 🔥BLIP-Diffusion🔥, a novel method for enabling Text-to-image Diffusion models with multimodal controllable generation/editing, powered by BLIP-2 pre-trained text-aligned subject representation. Paper: Project: (1/n)
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Introducing 🔥BLIP-Diffusion🔥, a novel method for enabling Text-to-image Diffusion models with multimodal controllable generation/editing, powered by BLIP-2 pre-trained text-aligned subject representation. Paper: Project: (1/n)

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Stable Diffusion generates beautiful images, but can it be used for open-world recognition? Try Demo! Our #CVPR2023 paper shows that the pre-trained diffusion model indeed is a good image parser, allows for open-vocabulary segmentation and detection.
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Stable Diffusion generates beautiful images, but can it be used for open-world recognition? Try Demo! Our #CVPR2023 paper shows that the pre-trained diffusion model indeed is a good image parser, allows for open-vocabulary segmentation and detection.

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just landed on hugging face: Step1X-Edit ✍️ & it's honestly one of the best open source image editors I've tried ✨ combines Multimodal LLM (Qwen VL) with Diffusion transformers to process and perform edit instructions ✨ apache 2.0 license ✨ new benchmark for image editing: GEdit-Bench
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just landed on hugging face: Step1X-Edit ✍️ & it's honestly one of the best open source image editors I've tried ✨ combines Multimodal LLM (Qwen VL) with Diffusion transformers to process and perform edit instructions ✨ apache 2.0 license ✨ new benchmark for image editing: GEdit-Bench

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Modelscope updated with VideoComposer for img2vid and vid2vid. Video generated from Stable Diffusion images: Image2Video: Video2Video: Demo:

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