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HOLY MOLY! partial diffusion!! had no idea you could do this, just stumbled into it accidentally I asked ChatGPT for an improved version of a jailbreak output and got a refusal with a blurred-out image (which is normal) but it turns out if you’re on mobile and drag that... show more

Pliny the Liberator 🐉󠅫󠄼󠄿󠅆󠄵󠄐󠅀󠄼󠄹󠄾󠅉󠅭

229,676 subscribers

544,653 次观看 • 7 个月前 •via X (Twitter)

喜剧艺术科学技术

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There are many ways of making generative art, but my go-to has always been the feedback loop. Just do one thing over and over on the last output and watch unexpected artifacts emerge. With gpt-image, you can write that whole program in a prompt. For example: "Make an exact copy of this image, except replace any detail with an object that looks out of place."

There are many ways of making generative art, but my go-to has always been the feedback loop. Just do one thing over and over on the last output and watch unexpected artifacts emerge. With gpt-image, you can write that whole program in a prompt. For example: "Make an exact copy of this image, except replace any detail with an object that looks out of place."

Gene Kogan

81,634 次观看 • 1 年前

An Italian tourist explains how women can swim in bikinis on the beaches of Jeddah... This isn’t a minor detail, but a direct result of the “manufactured openness” that’s crafting a new image of Saudi Arabia, an image that doesn’t reflect the identity of the Land of the Two Holy Mosques, nor its culture or values. It promotes a different reality, where entertainment is amplified... and the essence of the place is lost. #SaudiArabia

An Italian tourist explains how women can swim in bikinis on the beaches of Jeddah... This isn’t a minor detail, but a direct result of the “manufactured openness” that’s crafting a new image of Saudi Arabia, an image that doesn’t reflect the identity of the Land of the Two Holy Mosques, nor its culture or values. It promotes a different reality, where entertainment is amplified... and the essence of the place is lost. #SaudiArabia

Saudi Arabia's Reality

28,164 次观看 • 8 个月前

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 • 1 年前

I've been showing the output of my flight reconstruction tool for a while and I wanted to share something like it which wasn't a mess of hand tuned stuff that required X-Plane. So I created a completely new version in javascript that runs in an HTML page so that anyone can use it. The output is a KML file which is a tour that works in Google Earth pro with all the attitude information included. This is a long way from perfect, I messed around with multiple smoothing algorithms and none of them compares well with the python code, but they're readable and understandable for anyone.

I've been showing the output of my flight reconstruction tool for a while and I wanted to share something like it which wasn't a mess of hand tuned stuff that required X-Plane. So I created a completely new version in javascript that runs in an HTML page so that anyone can use it. The output is a KML file which is a tour that works in Google Earth pro with all the attitude information included. This is a long way from perfect, I messed around with multiple smoothing algorithms and none of them compares well with the python code, but they're readable and understandable for anyone.

Scott Manley

19,808 次观看 • 6 个月前

A couple of weeks ago I was up at 4am to take a photo of 3I/ATLAS, it was low in the sky and there was a haze which meant lots of scattered light. But I took an image except that because the telescope tracks the stars the comet is blurred, after all it's the fastest thing (in terms of it's total energy). The image is actually made up of a sequence of hundreds of 4 second exposures, that's what the video shows, you can even see satellites zipping through the frame. So now with a bit of work in astronomy processing software I've managed to restack the comet and stars separately to make a non distorted image of the comet. Still working to make this better, but glad to have got this far.

A couple of weeks ago I was up at 4am to take a photo of 3I/ATLAS, it was low in the sky and there was a haze which meant lots of scattered light. But I took an image except that because the telescope tracks the stars the comet is blurred, after all it's the fastest thing (in terms of it's total energy). The image is actually made up of a sequence of hundreds of 4 second exposures, that's what the video shows, you can even see satellites zipping through the frame. So now with a bit of work in astronomy processing software I've managed to restack the comet and stars separately to make a non distorted image of the comet. Still working to make this better, but glad to have got this far.

Scott Manley

36,041 次观看 • 7 个月前

🚨 Breaking: Google is rolling out a native image feature in AI Studio! You can now use Gemini 2.0 Flash Experimental for native image output. This feature is insanely powerful , you can do so much with it. Google is crushing it, no hype, just delivering. Mad respect for the Google DeepMind and Gemini team! I had early access to this for a long time but I wasn’t supposed to share it :) It's amazing, you guys will love it.

🚨 Breaking: Google is rolling out a native image feature in AI Studio! You can now use Gemini 2.0 Flash Experimental for native image output. This feature is insanely powerful , you can do so much with it. Google is crushing it, no hype, just delivering. Mad respect for the Google DeepMind and Gemini team! I had early access to this for a long time but I wasn’t supposed to share it :) It's amazing, you guys will love it.

AshutoshShrivastava

70,802 次观看 • 1 年前

THIS GUY UPDATED AN OPEN SOURCE TOOL FOR CLAUDE FABLE 5 THAT TAKES A SINGLE IMAGE AND AUTOMATICALLY REBUILDS IT AS A PREMIUM SCROLL LINKED WEB ANIMATION Instead of slicing videos by hand or exporting individual frames, you just hand it an image and it recreates the entire sequence as a pure scroll mapped experience - Pick an anchor image and set your overall creative direction - The tool automatically scales it into motion clips and uses ffmpeg to rip out every frame in the background - Maps the frames directly to your scroll position, tracking the cursor for an ultra smooth user experience - AND its open source, so you can drop the skill into your own terminal workspace He tested it on a highly detailed origami style travel website and it came out genuinely good for something built completely in one shot Turning a single photo into an automated frame mapped scrolling app is the kind of thing that used to take a developer hours

THIS GUY UPDATED AN OPEN SOURCE TOOL FOR CLAUDE FABLE 5 THAT TAKES A SINGLE IMAGE AND AUTOMATICALLY REBUILDS IT AS A PREMIUM SCROLL LINKED WEB ANIMATION Instead of slicing videos by hand or exporting individual frames, you just hand it an image and it recreates the entire sequence as a pure scroll mapped experience - Pick an anchor image and set your overall creative direction - The tool automatically scales it into motion clips and uses ffmpeg to rip out every frame in the background - Maps the frames directly to your scroll position, tracking the cursor for an ultra smooth user experience - AND its open source, so you can drop the skill into your own terminal workspace He tested it on a highly detailed origami style travel website and it came out genuinely good for something built completely in one shot Turning a single photo into an automated frame mapped scrolling app is the kind of thing that used to take a developer hours

0xMarioNawfal

111,254 次观看 • 25 天前

You imagine it. We create it. 🎨 Introducing #PixelStudio, a first-of-its-kind image generator on #Pixel9 powered by an on-device diffusion model¹ running on Tensor G4 and our Imagen 3 text-to-image model in the cloud.

You imagine it. We create it. 🎨 Introducing #PixelStudio, a first-of-its-kind image generator on #Pixel9 powered by an on-device diffusion model¹ running on Tensor G4 and our Imagen 3 text-to-image model in the cloud.

Made by Google

28,283 次观看 • 1 年前

UPDATE : I figured out what's making twitter flag my art as AI! it's the last image in the set, which is a real photo of a -blank- page with the artwork photoshopped onto it. it must be reading the text in it or something like that, that image makes the whole post get flagged.

UPDATE : I figured out what's making twitter flag my art as AI! it's the last image in the set, which is a real photo of a -blank- page with the artwork photoshopped onto it. it must be reading the text in it or something like that, that image makes the whole post get flagged.

✂️ Fold Up Toys ✂️

11,512 次观看 • 3 个月前

This is a pretty wild model! You can use it to turn an image into a 3D object with texture. The quality is out of this world! I'm not even a designer, and I've been using this nonstop for the last 2 hours. The model is Hunyuan 3D 2.1. It's open source. You'll find model weights, training/inference code, data pipelines, and architecture on their repository. You can even fine-tune it if you want! GitHub Repository: By the way, the model runs on consumer-grade GPUs. You don't need a datacenter for this! I've been using the model from the HuggingFace demo page: To use it, go to the link and upload an image. That's it! Check out the video I recorded for a couple of examples.

This is a pretty wild model! You can use it to turn an image into a 3D object with texture. The quality is out of this world! I'm not even a designer, and I've been using this nonstop for the last 2 hours. The model is Hunyuan 3D 2.1. It's open source. You'll find model weights, training/inference code, data pipelines, and architecture on their repository. You can even fine-tune it if you want! GitHub Repository: By the way, the model runs on consumer-grade GPUs. You don't need a datacenter for this! I've been using the model from the HuggingFace demo page: To use it, go to the link and upload an image. That's it! Check out the video I recorded for a couple of examples.

Santiago

44,783 次观看 • 1 年前

In this week’s Stability Seconds, we’re showing you how to use prompt weighting, a technique that helps you control which parts of your prompt have more or less influence on the final image. It’s a fast way to steer your image toward your desired output without rewriting your prompt. Here’s how to do it: 1️⃣ Emphasize elements: Put parentheses around the part of your prompt you want to focus on, then add a colon and a number. For example, (trench coat:1.5) tells the model to emphasize the trench coat. The higher the number, the more it stands out. 2️⃣ De-emphasize elements: Put parentheses around the part of your prompt you want to make less prominent, then add a colon and a number below one. For example, (background:0.5). The lower the number, the less it stands out. You can try prompt weighting with Stable Image Ultra here 👉

In this week’s Stability Seconds, we’re showing you how to use prompt weighting, a technique that helps you control which parts of your prompt have more or less influence on the final image. It’s a fast way to steer your image toward your desired output without rewriting your prompt. Here’s how to do it: 1️⃣ Emphasize elements: Put parentheses around the part of your prompt you want to focus on, then add a colon and a number. For example, (trench coat:1.5) tells the model to emphasize the trench coat. The higher the number, the more it stands out. 2️⃣ De-emphasize elements: Put parentheses around the part of your prompt you want to make less prominent, then add a colon and a number below one. For example, (background:0.5). The lower the number, the less it stands out. You can try prompt weighting with Stable Image Ultra here 👉

Stability AI

13,818 次观看 • 1 年前

All these demo videos make HEAD SWAPPING with Nano Banana look so easy, but then you give it a try and you're like... uh... what? Why didn't that work? Here's what I've found. Nano Banana reads your image, almost literally, so if you write on the image, it reads the text. This is how Higgsfield AI 🧩 has capitalized on the tech: "Write on the image" and give it direction, right? Totally true, but you don't need Higgi to write on your image. Nano Banana will understand your direction regardless of where you write on your image. On one hand, Higgi is really smart, because they're hranessing the tech in a unique way, but the whole "Higgsfield's Banana Placement" is a bit of a misnomer. It's more of a "Banana Placement" and Higgi is just giving you a sort of basic Photoshop-type tool to work with (again, pretty smart), but the real tech is the Banana. 🍌 This is how I head swapped heads in Runway, but Nano Banana maintains the aesthetic qualities of your image almost perfectly, whereas Runway Reference spits out a very Gen-4 looking image. I like using Nano in Freepik (now Magnific), mainly because it's fast and I can get 4 gens at a time, and you need to gen a dozen times of so before you get a winner (most of the time). I was pumped when I saw Freepik introduce the @ reference feature, just like Runway has, but it doesn't seem to work for head swapping. My guess is because that's not really how Nano Banana tech works... ideally. Marco is the person I saw using this "A" and "B" method, back when Nano was on LM Arena, and man-oh-man, it just works... like a charm. You need experiment with how much of the face you blot out, and the angle and facial expression of your new head if you want the blend to be perfect. All of the results in this video are 100% Nano Banana. I did not do any Photoshop work to the images after the fact. I really hope this helps. Let me know if you have any questions. I'm happy to help. And I'll keep posting videos like this if you guys find them useful. Let me know! And if you want more serious, one-on-one AI consultation you can throw something on the books here:

All these demo videos make HEAD SWAPPING with Nano Banana look so easy, but then you give it a try and you're like... uh... what? Why didn't that work? Here's what I've found. Nano Banana reads your image, almost literally, so if you write on the image, it reads the text. This is how Higgsfield AI 🧩 has capitalized on the tech: "Write on the image" and give it direction, right? Totally true, but you don't need Higgi to write on your image. Nano Banana will understand your direction regardless of where you write on your image. On one hand, Higgi is really smart, because they're hranessing the tech in a unique way, but the whole "Higgsfield's Banana Placement" is a bit of a misnomer. It's more of a "Banana Placement" and Higgi is just giving you a sort of basic Photoshop-type tool to work with (again, pretty smart), but the real tech is the Banana. 🍌 This is how I head swapped heads in Runway, but Nano Banana maintains the aesthetic qualities of your image almost perfectly, whereas Runway Reference spits out a very Gen-4 looking image. I like using Nano in Freepik (now Magnific), mainly because it's fast and I can get 4 gens at a time, and you need to gen a dozen times of so before you get a winner (most of the time). I was pumped when I saw Freepik introduce the @ reference feature, just like Runway has, but it doesn't seem to work for head swapping. My guess is because that's not really how Nano Banana tech works... ideally. Marco is the person I saw using this "A" and "B" method, back when Nano was on LM Arena, and man-oh-man, it just works... like a charm. You need experiment with how much of the face you blot out, and the angle and facial expression of your new head if you want the blend to be perfect. All of the results in this video are 100% Nano Banana. I did not do any Photoshop work to the images after the fact. I really hope this helps. Let me know if you have any questions. I'm happy to help. And I'll keep posting videos like this if you guys find them useful. Let me know! And if you want more serious, one-on-one AI consultation you can throw something on the books here:

Jordan Daniel Chesney

62,089 次观看 • 10 个月前

Bessent finds a workaround to get Trump on currency: "There cannot be an image of a living person, but we have the president's signature [on bills], which I think is appropriate for the 250th ... we can put living people's images on a coin. The president is also going to have a coin coming out with his image on it"

Bessent finds a workaround to get Trump on currency: "There cannot be an image of a living person, but we have the president's signature [on bills], which I think is appropriate for the 250th ... we can put living people's images on a coin. The president is also going to have a coin coming out with his image on it"

Aaron Rupar

745,825 次观看 • 23 天前

🚨ELON: GROK IS STILL PARTIALLY BLIND, BUT WE’RE FIXING IT “So like, the biggest weakness of Grok currently is that it's sort of partially blind. Its image understanding, and obviously its image generation, needs to be a lot better. That’s actually being trained right now. Grok 4 is based on version six of our foundation model, and we’re training version seven, which will complete in a few weeks.” Source: xAI Elon Musk

🚨ELON: GROK IS STILL PARTIALLY BLIND, BUT WE’RE FIXING IT “So like, the biggest weakness of Grok currently is that it's sort of partially blind. Its image understanding, and obviously its image generation, needs to be a lot better. That’s actually being trained right now. Grok 4 is based on version six of our foundation model, and we’re training version seven, which will complete in a few weeks.” Source: xAI Elon Musk

Mario Nawfal

54,268 次观看 • 1 年前

Since such a large image is rather difficult to appreciate in a downsized version on twitter, I have a link on my website that allows you to zoom into the image in its entirety. Or, you can pick up one of my limited edition fine art prints!

Since such a large image is rather difficult to appreciate in a downsized version on twitter, I have a link on my website that allows you to zoom into the image in its entirety. Or, you can pick up one of my limited edition fine art prints!

Andrew McCarthy

719,618 次观看 • 3 年前

Christopher Nolan reveals the exact shot he had to wait two decades to film after being rejected from the original Troy movie "That's an image that I had had in my head for about 20 years" "I'd been briefly attached to direct Troy, which was David Benioff's script based on the Iliad, and he had included the Trojan horse in that script" "I came up with this idea of the horse kind of sinking into the sand, about to be destroyed by the waves" "sort of the last thing you would imagine was intended to be, you know, dragged into the city" "to see it there, sort of fully realized, the way I... very much the way I'd imagined it all those years ago, and finally get to do that... yeah, that was a special moment" "I felt that sense of privilege as I drove in the morning over the sand dunes on the beach in Morocco for the first day shoot"

Christopher Nolan reveals the exact shot he had to wait two decades to film after being rejected from the original Troy movie "That's an image that I had had in my head for about 20 years" "I'd been briefly attached to direct Troy, which was David Benioff's script based on the Iliad, and he had included the Trojan horse in that script" "I came up with this idea of the horse kind of sinking into the sand, about to be destroyed by the waves" "sort of the last thing you would imagine was intended to be, you know, dragged into the city" "to see it there, sort of fully realized, the way I... very much the way I'd imagined it all those years ago, and finally get to do that... yeah, that was a special moment" "I felt that sense of privilege as I drove in the morning over the sand dunes on the beach in Morocco for the first day shoot"

Rixlerr

879,018 次观看 • 19 天前

'See if you can spot this one.' This was the last sentence formed by Clapton before the start of a ground-breaking rebirth of a worldwide hit, Layla. The background story is quite interesting for this rendition of Layla and it has a lot to reveal. Let's break it down together. On January 16, 1992, Clapton, along with Andy Fairweather Low, Steve Ferrone, Chuck Leavell, Ray Cooper, and Nathan East, gathered at Bray Film Studios in Windsor, England. Performing in front of an intimate audience of around 300 people, they set out to film a live concert for MTV’s Unplugged series. At the time, no one could have predicted that this recording would become the best-selling live album of all time, moving over 26 million copies worldwide. In fact, Clapton himself even bet $100 with one of the band members, confident that the album would never become popular. The key to its success? A completely reimagined acoustic version of Layla—so different and fresh that Clapton famously teased the crowd with, “See if you can spot this one.”. As mentioned, the initial goal of the concert was simply to film a TV show for MTV. However, for Eric Clapton, this also felt like the perfect opportunity to debut some of the new, deeply personal songs he had written, including Tears in Heaven. I had a need to perform these new songs about my son, and I really believed that they were meant to help not just me, but anybody who had or would suffer such extraordinary loss. The opportunity to showcase them came in the guise of an Unplugged TV show for MTV. I had been approached to do it, and wasn’t sure, but now it seemed like the ideal platform. Eric Clapton knew he wanted to include Layla in the Unplugged set, but there was a challenge: the original version required him to sing in a high range, which didn’t suit the relaxed, acoustic vibe of the concert. The energetic, high-tempo rock version wouldn’t work in this setting, so Eric came up with a solution—slow the song down and drop it an octave. I just thought I should try this as a “shuffle”. Because I love that thing of changing tempos, it’s a good way of looking at something from a different angle. Because of the key – it’s very high to sing if you do it in the “rock” version. It’s at the top of my range. Well I thought you can’t play it like that, and so you’ll have to sing an octave down. Kind of thought – we’ll actually that sounds quite nice and sort of “jazzy”. By slowing down the tempo and lowering the vocal pitch, Clapton kept Layla in its original key but tamed it for the acoustic setting. This decision not only made it easier for him to sing but also gave the song a fresh, jazzy feel that resonated with the Unplugged audience. Bassist Nathan East, who performed that night, captured the essence of playing unplugged perfectly: You can’t hide behind an amplified sound or a fuzz tone. You’re not relying on production. This is just everybody’s fingers connected to the instrument. Pure heart. Despite all of Eric Clapton’s initial concerns, the acoustic version of Layla turned out to be a massive success. Not only did audiences embrace the reimagined version, but the band members themselves thoroughly enjoyed performing it—and even listening to it afterward.

'See if you can spot this one.' This was the last sentence formed by Clapton before the start of a ground-breaking rebirth of a worldwide hit, Layla. The background story is quite interesting for this rendition of Layla and it has a lot to reveal. Let's break it down together. On January 16, 1992, Clapton, along with Andy Fairweather Low, Steve Ferrone, Chuck Leavell, Ray Cooper, and Nathan East, gathered at Bray Film Studios in Windsor, England. Performing in front of an intimate audience of around 300 people, they set out to film a live concert for MTV’s Unplugged series. At the time, no one could have predicted that this recording would become the best-selling live album of all time, moving over 26 million copies worldwide. In fact, Clapton himself even bet $100 with one of the band members, confident that the album would never become popular. The key to its success? A completely reimagined acoustic version of Layla—so different and fresh that Clapton famously teased the crowd with, “See if you can spot this one.”. As mentioned, the initial goal of the concert was simply to film a TV show for MTV. However, for Eric Clapton, this also felt like the perfect opportunity to debut some of the new, deeply personal songs he had written, including Tears in Heaven. I had a need to perform these new songs about my son, and I really believed that they were meant to help not just me, but anybody who had or would suffer such extraordinary loss. The opportunity to showcase them came in the guise of an Unplugged TV show for MTV. I had been approached to do it, and wasn’t sure, but now it seemed like the ideal platform. Eric Clapton knew he wanted to include Layla in the Unplugged set, but there was a challenge: the original version required him to sing in a high range, which didn’t suit the relaxed, acoustic vibe of the concert. The energetic, high-tempo rock version wouldn’t work in this setting, so Eric came up with a solution—slow the song down and drop it an octave. I just thought I should try this as a “shuffle”. Because I love that thing of changing tempos, it’s a good way of looking at something from a different angle. Because of the key – it’s very high to sing if you do it in the “rock” version. It’s at the top of my range. Well I thought you can’t play it like that, and so you’ll have to sing an octave down. Kind of thought – we’ll actually that sounds quite nice and sort of “jazzy”. By slowing down the tempo and lowering the vocal pitch, Clapton kept Layla in its original key but tamed it for the acoustic setting. This decision not only made it easier for him to sing but also gave the song a fresh, jazzy feel that resonated with the Unplugged audience. Bassist Nathan East, who performed that night, captured the essence of playing unplugged perfectly: You can’t hide behind an amplified sound or a fuzz tone. You’re not relying on production. This is just everybody’s fingers connected to the instrument. Pure heart. Despite all of Eric Clapton’s initial concerns, the acoustic version of Layla turned out to be a massive success. Not only did audiences embrace the reimagined version, but the band members themselves thoroughly enjoyed performing it—and even listening to it afterward.

Rock'n Roll of All

27,546 次观看 • 1 年前

✨ New mini feature that helps you write prompts today that I got the idea from getimg .ai, an [ AI Improve ] button under the prompt box It takes your prompt, expands and improves it and adds detail One of ChatGPT's strengths is you ask it to make an image but it turns it into a really great big image prompt for its image model A detailed prompt gets better image results than a simple prompt generally: "model with green hair in magical forest" -> "a male model with striking green hair stands amidst a magical forest, where the canopy is alive with luminescent foliage. the sunlight filters through the mist, casting ethereal beams of light that dance upon the moss-covered ground. his hair appears to blend seamlessly with the vibrant emerald shades around him, almost glowing with its own mystical energy. the model wears an intricately detailed outfit that mirrors the forest's hues, adorned with delicate vines and leaves. in the background, the forest is alive with enchanted creatures fluttering about, their eyes luminescent and curious. the atmosphere is serene and otherworldly, evoking a sense of wonder and enchantment. the scene is captured with a high level of detail and a soft focus around the edges, enhancing the dreamlike quality."

✨ New mini feature that helps you write prompts today that I got the idea from getimg .ai, an [ AI Improve ] button under the prompt box It takes your prompt, expands and improves it and adds detail One of ChatGPT's strengths is you ask it to make an image but it turns it into a really great big image prompt for its image model A detailed prompt gets better image results than a simple prompt generally: "model with green hair in magical forest" -> "a male model with striking green hair stands amidst a magical forest, where the canopy is alive with luminescent foliage. the sunlight filters through the mist, casting ethereal beams of light that dance upon the moss-covered ground. his hair appears to blend seamlessly with the vibrant emerald shades around him, almost glowing with its own mystical energy. the model wears an intricately detailed outfit that mirrors the forest's hues, adorned with delicate vines and leaves. in the background, the forest is alive with enchanted creatures fluttering about, their eyes luminescent and curious. the atmosphere is serene and otherworldly, evoking a sense of wonder and enchantment. the scene is captured with a high level of detail and a soft focus around the edges, enhancing the dreamlike quality."

@levelsio

132,473 次观看 • 1 年前

"Abel Ferrara's 'Bad Lieutenant' (1992) is among the greatest pictures made about a man’s descent in search of redemption." --- Martin Scorsese Full Excerpt: "I thought 'Bad Lieutenant' (1992) was a key film. It’s the kind of film that I wanted 'The Last Temptation of Christ' (1988) to be. But maybe it was because I dealt with the iconography of Jesus directly that I was not able to get certain aspects that I wanted. Harvey Keitel really felt that it’s what he was aiming for all his life; we had stumbled around it ourselves in the movies we made together, Keitel and myself. And we tried to get it directly in 'The Last Temptation of Christ', but it’s better the way Ferrara and he got it here — especially the confrontation with the image of Jesus in the church. And not just the obviously shocking part of it; it’s when he breaks down and cries and says he’s bad. There’s this beautiful ending with the boy leaving, then Keitel being shot in the car. And there’s the use of Pledging My Love by Johnny Ace, which we had in 'Mean Streets' (1973). In any event, it’s an exceptional movie, extraordinary — I mean, it’s not to everybody’s taste. I loved the themes, and the way Ferrara’s style is so straightforward. You cut into a scene with two women, and they’re naked and music is playing, and then suddenly Keitel is naked, in a sort of trance. Then you cut and you’re into another scene. It’s so strong you don’t need a style. Another example: he goes and gets shot up with some heroin from a woman who is obviously a junkie — it must be for real. So what do you need to know? If you dare, follow him through till the end of the night. It’s among the greatest pictures made about a man’s descent in search of redemption." ('Projections 7', edited by John Boorman and Walter Donohue, 1997)

"Abel Ferrara's 'Bad Lieutenant' (1992) is among the greatest pictures made about a man’s descent in search of redemption." --- Martin Scorsese Full Excerpt: "I thought 'Bad Lieutenant' (1992) was a key film. It’s the kind of film that I wanted 'The Last Temptation of Christ' (1988) to be. But maybe it was because I dealt with the iconography of Jesus directly that I was not able to get certain aspects that I wanted. Harvey Keitel really felt that it’s what he was aiming for all his life; we had stumbled around it ourselves in the movies we made together, Keitel and myself. And we tried to get it directly in 'The Last Temptation of Christ', but it’s better the way Ferrara and he got it here — especially the confrontation with the image of Jesus in the church. And not just the obviously shocking part of it; it’s when he breaks down and cries and says he’s bad. There’s this beautiful ending with the boy leaving, then Keitel being shot in the car. And there’s the use of Pledging My Love by Johnny Ace, which we had in 'Mean Streets' (1973). In any event, it’s an exceptional movie, extraordinary — I mean, it’s not to everybody’s taste. I loved the themes, and the way Ferrara’s style is so straightforward. You cut into a scene with two women, and they’re naked and music is playing, and then suddenly Keitel is naked, in a sort of trance. Then you cut and you’re into another scene. It’s so strong you don’t need a style. Another example: he goes and gets shot up with some heroin from a woman who is obviously a junkie — it must be for real. So what do you need to know? If you dare, follow him through till the end of the night. It’s among the greatest pictures made about a man’s descent in search of redemption." ('Projections 7', edited by John Boorman and Walter Donohue, 1997)

DepressedBergman

42,563 次观看 • 6 个月前

Bill Maher on the “f*cking asshole” celebrities who said, “We’re all in this together,” during COVID: “The bullshit of every time I turned on the TV, it was some version of ‘We’re all in it together.’ No, we’re not, you f*cking assholes.” “You f*cking posers. Half of us are getting food delivered by the other half, and you’re the half that’s sitting home in your pajamas and talking about how much ‘we’re all in it together.’” “No, you’re going out to the Hamptons. You’re going to a yacht. Yes, I know you’re putting out Instagram political messages about it, and that’s awesome, but basically, you’re the one who’s insulated...” “If we’re really all in it together, I got an idea: How about we take turns about who’s working for Grubhub? If we’re really all in it together, maybe that should be something that has to get passed around.” “So some of us are delivering some of the time instead of some of us delivering ALL of the time, and some of us in our pajamas ALL the time.”

Bill Maher on the “fcking asshole” celebrities who said, “We’re all in this together,” during COVID: “The bullshit of every time I turned on the TV, it was some version of ‘We’re all in it together.’ No, we’re not, you fcking assholes.” “You f*cking posers. Half of us are getting food delivered by the other half, and you’re the half that’s sitting home in your pajamas and talking about how much ‘we’re all in it together.’” “No, you’re going out to the Hamptons. You’re going to a yacht. Yes, I know you’re putting out Instagram political messages about it, and that’s awesome, but basically, you’re the one who’s insulated...” “If we’re really all in it together, I got an idea: How about we take turns about who’s working for Grubhub? If we’re really all in it together, maybe that should be something that has to get passed around.” “So some of us are delivering some of the time instead of some of us delivering ALL of the time, and some of us in our pajamas ALL the time.”

The Vigilant Fox 🦊

546,369 次观看 • 22 天前