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Claude charges for image inputs based on pixel size, not the amount of text inside the image So you can literally turn long prompts into an image and save a lot of tokens Here is a repo which does this

Karan

15,781 subscribers

2,684,424 次观看 • 1 个月前 •via X (Twitter)

教育科学技术

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This new AI image generator is impressive. You can now create an image based on a simple sketch and text prompt.

This new AI image generator is impressive. You can now create an image based on a simple sketch and text prompt.

Rowan Cheung

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InstantDrag Improving Interactivity in Drag-based Image Editing discuss: Drag-based image editing has recently gained popularity for its interactivity and precision. However, despite the ability of text-to-image models to generate samples within a second, drag editing still lags behind due to the challenge of accurately reflecting user interaction while maintaining image content. Some existing approaches rely on computationally intensive per-image optimization or intricate guidance-based methods, requiring additional inputs such as masks for movable regions and text prompts, thereby compromising the interactivity of the editing process. We introduce InstantDrag, an optimization-free pipeline that enhances interactivity and speed, requiring only an image and a drag instruction as input. InstantDrag consists of two carefully designed networks: a drag-conditioned optical flow generator (FlowGen) and an optical flow-conditioned diffusion model (FlowDiffusion). InstantDrag learns motion dynamics for drag-based image editing in real-world video datasets by decomposing the task into motion generation and motion-conditioned image generation. We demonstrate InstantDrag's capability to perform fast, photo-realistic edits without masks or text prompts through experiments on facial video datasets and general scenes. These results highlight the efficiency of our approach in handling drag-based image editing, making it a promising solution for interactive, real-time applications.

InstantDrag Improving Interactivity in Drag-based Image Editing discuss: Drag-based image editing has recently gained popularity for its interactivity and precision. However, despite the ability of text-to-image models to generate samples within a second, drag editing still lags behind due to the challenge of accurately reflecting user interaction while maintaining image content. Some existing approaches rely on computationally intensive per-image optimization or intricate guidance-based methods, requiring additional inputs such as masks for movable regions and text prompts, thereby compromising the interactivity of the editing process. We introduce InstantDrag, an optimization-free pipeline that enhances interactivity and speed, requiring only an image and a drag instruction as input. InstantDrag consists of two carefully designed networks: a drag-conditioned optical flow generator (FlowGen) and an optical flow-conditioned diffusion model (FlowDiffusion). InstantDrag learns motion dynamics for drag-based image editing in real-world video datasets by decomposing the task into motion generation and motion-conditioned image generation. We demonstrate InstantDrag's capability to perform fast, photo-realistic edits without masks or text prompts through experiments on facial video datasets and general scenes. These results highlight the efficiency of our approach in handling drag-based image editing, making it a promising solution for interactive, real-time applications.

AK

71,232 次观看 • 1 年前

TurboEdit Instant text-based image editing discuss: We address the challenges of precise image inversion and disentangled image editing in the context of few-step diffusion models. We introduce an encoder based iterative inversion technique. The inversion network is conditioned on the input image and the reconstructed image from the previous step, allowing for correction of the next reconstruction towards the input image. We demonstrate that disentangled controls can be easily achieved in the few-step diffusion model by conditioning on an (automatically generated) detailed text prompt. To manipulate the inverted image, we freeze the noise maps and modify one attribute in the text prompt (either manually or via instruction based editing driven by an LLM), resulting in the generation of a new image similar to the input image with only one attribute changed. It can further control the editing strength and accept instructive text prompt. Our approach facilitates realistic text-guided image edits in real-time, requiring only 8 number of functional evaluations (NFEs) in inversion (one-time cost) and 4 NFEs per edit. Our method is not only fast, but also significantly outperforms state-of-the-art multi-step diffusion editing techniques.

TurboEdit Instant text-based image editing discuss: We address the challenges of precise image inversion and disentangled image editing in the context of few-step diffusion models. We introduce an encoder based iterative inversion technique. The inversion network is conditioned on the input image and the reconstructed image from the previous step, allowing for correction of the next reconstruction towards the input image. We demonstrate that disentangled controls can be easily achieved in the few-step diffusion model by conditioning on an (automatically generated) detailed text prompt. To manipulate the inverted image, we freeze the noise maps and modify one attribute in the text prompt (either manually or via instruction based editing driven by an LLM), resulting in the generation of a new image similar to the input image with only one attribute changed. It can further control the editing strength and accept instructive text prompt. Our approach facilitates realistic text-guided image edits in real-time, requiring only 8 number of functional evaluations (NFEs) in inversion (one-time cost) and 4 NFEs per edit. Our method is not only fast, but also significantly outperforms state-of-the-art multi-step diffusion editing techniques.

AK

16,062 次观看 • 2 年前

Introducing Image to App. Turn any image into a native mobile app. Just paste an image. Claude Code Opus 4.6 will design, code, deploy and translate a mobile app inspired by original design. We’ve used this internally a lot for consumer apps on iOS/Android.

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David Ch

173,647 次观看 • 4 个月前

PLEASE Stop saving JSON prompts for Gemini ! You don’t need it. JSON format is only for interactions like below, not for your creative workflow. What you actually need (watch the video): ✅ Save the image ✅ Upload it into an AI Media Gallery ✅ Reuse it anytime (image → image) AI can already generate what you want from an image. The missing piece is where all those assets live.

PLEASE Stop saving JSON prompts for Gemini ! You don’t need it. JSON format is only for interactions like below, not for your creative workflow. What you actually need (watch the video): ✅ Save the image ✅ Upload it into an AI Media Gallery ✅ Reuse it anytime (image → image) AI can already generate what you want from an image. The missing piece is where all those assets live.

Enes Kırca

77,074 次观看 • 8 个月前

not long now before we can simply drag and drop an image into an editor to create a 3D scene! the scenes below are generated from the image on the left 👀

not long now before we can simply drag and drop an image into an editor to create a 3D scene! the scenes below are generated from the image on the left 👀

Dreaming Tulpa 🥓👑

156,028 次观看 • 1 年前

wow.. this AI is crazy you can now use ChatGPT image 2.0 on infinite canvas and its much more advanced you can edit image with simple text and turn it into commercial video directly

wow.. this AI is crazy you can now use ChatGPT image 2.0 on infinite canvas and its much more advanced you can edit image with simple text and turn it into commercial video directly

Abhishek

31,491 次观看 • 3 个月前

I've further improved my shader for projecting AI-generated images. This time, I added a feature where the image changes based on the player's viewing angle, which fixes a lot of problems. I'm having fun switching the image projection on and off in this video.

I've further improved my shader for projecting AI-generated images. This time, I added a feature where the image changes based on the player's viewing angle, which fixes a lot of problems. I'm having fun switching the image projection on and off in this video.

Alex

14,651 次观看 • 6 个月前

this workflow save you tons of time for creating longer films the image include everything in the scene, so you dont need to @ things multiple time in the prompts to keep consistent on with shot list image, you can generate multiple shot using 1 prompt

this workflow save you tons of time for creating longer films the image include everything in the scene, so you dont need to @ things multiple time in the prompts to keep consistent on with shot list image, you can generate multiple shot using 1 prompt

el.cine

15,442 次观看 • 3 个月前

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A new real-time world model is here 👀 I tested out Dynamics Lab's Mirage 2, which was just publicly released. You can upload an image and step inside it - with game controls that guide movement + the ability to change the scene with text prompts.

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24,297 次观看 • 1 年前

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"This is how GPT-4 sees and hears itself" I used GPT-4 to describe itself. Then I used its description to generate an image, a video based on this image and a soundtrack. Tools I used: GPT-4, Midjourney, Kainber AI, Mubert, RunwayML This is the description I used that GPT-4 had of itself as a prompt to text-to-image, image-to-video, and text-to-music. I put the video and sound together in RunwayML.

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👀 Pixel perfect 💎✨ 🖼️ Edify Image from #NVIDIAResearch is a family of diffusion models that supports a wide range of applications, including text-to-image synthesis, 4K upsampling, ControlNets, 360° HDR panorama generation, and finetuning for image customization. 🧵 1/2

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Alibaba Group

203,475 次观看 • 1 年前

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wow.. this AI is crazy you can now use Google Gemini 2.0 image editor on FLORA and its much more advanced you can edit image with simple text and turn it into commercial video directly it's free to use for a limited time now, link in comment 10 examples:

wow.. this AI is crazy you can now use Google Gemini 2.0 image editor on FLORA and its much more advanced you can edit image with simple text and turn it into commercial video directly it's free to use for a limited time now, link in comment 10 examples:

el.cine

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