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“Generate an image based on my X profile”

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Pax

46,426 subscribers

16,091 görüntüleme • 8 gün önce •via X (Twitter)

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My canvas based AI image generation tool is live! It's built on top of tldraw and uses Nano Banana 2 Lite for image generation. You can sketch, annotate, collage in a frame... And then click to generate an image. Check it out 👉
1:00

My canvas based AI image generation tool is live! It's built on top of tldraw and uses Nano Banana 2 Lite for image generation. You can sketch, annotate, collage in a frame... And then click to generate an image. Check it out 👉

Charlie Clark

50,562 görüntüleme • 8 ay önce

Tutorial: How to generate an image based on your sketch in Photoshop (beta) with Generative Fill 1: make a rough sketch 2: Select Quick Mask Options 3: Edit -> Fill -> Color and choose H: 0, S: 0, B: 70% 4: Deselect Quick Mask Options 5: Write a prompt and generate an image
0:37

Tutorial: How to generate an image based on your sketch in Photoshop (beta) with Generative Fill 1: make a rough sketch 2: Select Quick Mask Options 3: Edit -> Fill -> Color and choose H: 0, S: 0, B: 70% 4: Deselect Quick Mask Options 5: Write a prompt and generate an image

Kris Kashtanova

130,461 görüntüleme • 3 yıl önce

GPT-4o Image Generation to Part-based 3D Characters with PBR, in under 10 minutes ⚡️ Workflow: 🎨 Prompt GPT-4o to get an image (e.g., "3D asset of a styled character with all parts laid on a sheet for image to 3D") 🧩 Use CSM AI's Part-based tool to generate parts and assemble in Blender.
0:48

GPT-4o Image Generation to Part-based 3D Characters with PBR, in under 10 minutes ⚡️ Workflow: 🎨 Prompt GPT-4o to get an image (e.g., "3D asset of a styled character with all parts laid on a sheet for image to 3D") 🧩 Use CSM AI's Part-based tool to generate parts and assemble in Blender.

Common Sense Machines

442,012 görüntüleme • 1 yıl önce

Sydney Sweeney’s reaction to Samsung showcasing an AI generated image based on her portrait
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Sydney Sweeney’s reaction to Samsung showcasing an AI generated image based on her portrait

non aesthetic things

7,919,263 görüntüleme • 2 yıl önce

This new AI image generator is impressive. You can now create an image based on a simple sketch and text prompt.
0:36

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

Rowan Cheung

543,225 görüntüleme • 3 yıl önce

I didn't know you had a rap career, but I had grok generate a diss track based off your profile
3:48

I didn't know you had a rap career, but I had grok generate a diss track based off your profile

Truth and Reconciliator

23,808 görüntüleme • 3 ay önce

AI can generate an image. Editing it afterwards is usually where things get messy. 🧵 Magnific
0:35

AI can generate an image. Editing it afterwards is usually where things get messy. 🧵 Magnific

NeuraFlow AI

192,197 görüntüleme • 2 ay önce

We are thrilled to announce a new feature on - Image as Pose! 🎉 This allows you to upload an image of a person as an initial image, and generate other images of people in the same pose. Get the same character in multiple poses and angles consistently🔥
0:50

We are thrilled to announce a new feature on - Image as Pose! 🎉 This allows you to upload an image of a person as an initial image, and generate other images of people in the same pose. Get the same character in multiple poses and angles consistently🔥

Leonardo.Ai

391,497 görüntüleme • 3 yıl önce

Pollo Angles is now live! Generate brand-new compositions from multiple angles using just a single image. 24H Only: Follow + RT + Comment = 136 FREE Credits! Note: To prevent bot farming, we only issue credits to X accounts with a profile photo.
0:49

Pollo Angles is now live! Generate brand-new compositions from multiple angles using just a single image. 24H Only: Follow + RT + Comment = 136 FREE Credits! Note: To prevent bot farming, we only issue credits to X accounts with a profile photo.

Pollo AI

441,787 görüntüleme • 6 ay önce

my favorite life hack > find a lecture on youtube > get transcript from > paste it into gemini with this prompt: "Generate an image. Turn this transcript into a cheatsheet with key takeaways, and give final output as 9:16 image created by nano banana. [PASTE FULL TRANSCRIPT]"
0:21

my favorite life hack > find a lecture on youtube > get transcript from > paste it into gemini with this prompt: "Generate an image. Turn this transcript into a cheatsheet with key takeaways, and give final output as 9:16 image created by nano banana. [PASTE FULL TRANSCRIPT]"

Alex Prompter

358,308 görüntüleme • 9 ay önce

MusicHiFi Fast High-Fidelity Stereo Vocoding Diffusion-based audio and music generation models commonly generate music by constructing an image representation of audio (e.g., a mel-spectrogram) and then converting it to audio using a phase reconstruction model or vocoder.
1:36

MusicHiFi Fast High-Fidelity Stereo Vocoding Diffusion-based audio and music generation models commonly generate music by constructing an image representation of audio (e.g., a mel-spectrogram) and then converting it to audio using a phase reconstruction model or vocoder.

AK

27,285 görüntüleme • 2 yıl önce

Rookie Kuechly getting knockback on an angle tackle that turns into a profile when the force player turns the play back. its very rare to generate enough force at this angle to generate knockback. crazy to stay on his feet too
0:20

Rookie Kuechly getting knockback on an angle tackle that turns into a profile when the force player turns the play back. its very rare to generate enough force at this angle to generate knockback. crazy to stay on his feet too

betz

35,755 görüntüleme • 4 ay önce

Looks beautiful! Asked GPT-5.5 in Codex to replicate the first one in ForgeCAD. Continuous iteration based on an image is getting better!
0:20

Looks beautiful! Asked GPT-5.5 in Codex to replicate the first one in ForgeCAD. Continuous iteration based on an image is getting better!

Ruben Kostandyan

28,961 görüntüleme • 3 ay önce

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.
0:46

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 görüntüleme • 1 yıl önce

"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.
0:59

"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.

Kris Kashtanova

1,233,490 görüntüleme • 3 yıl önce

I gave an AI agent USDC to analyze my tweets and audit my X profile. Here’s how you can do the same.
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I gave an AI agent USDC to analyze my tweets and audit my X profile. Here’s how you can do the same.

Blessing Adesiji

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GPT Image 2.0 lands on Higgsfield. 🧩 OpenAI delivers perfect text rendering and ChatGPT-level reasoning in its SOTA image model. Open Higgsfield and generate.
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GPT Image 2.0 lands on Higgsfield. 🧩 OpenAI delivers perfect text rendering and ChatGPT-level reasoning in its SOTA image model. Open Higgsfield and generate.

Higgsfield AI 🧩

1,560,031 görüntüleme • 4 ay önce

Now, generate ANY playable character from an image, all in Unreal Engine 5, powered by fal and featuring Jonathan Fischoff 🎮
0:22

Now, generate ANY playable character from an image, all in Unreal Engine 5, powered by fal and featuring Jonathan Fischoff 🎮

Blendi

21,667 görüntüleme • 5 ay önce

Generate an image of a product with ChatGPT Images 2.0 and convert to CAD with GPT-5.5 in Codex with ForgeCAD
0:30

Generate an image of a product with ChatGPT Images 2.0 and convert to CAD with GPT-5.5 in Codex with ForgeCAD

Ruben Kostandyan

246,663 görüntüleme • 3 ay önce