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Using a diffusion fabric like Silent Grid pressed directly against a window allows you to push light through it, turning the entire window into a large, soft daylight source while creating a beautiful natural bloom. This technique not only creates a softer, more flattering quality of light, but also...

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Prism Lens FX

88,500 subscribers

13,100 görüntüleme • 3 ay önce •via TikTok

EğitimSanat#cinematographer#cinematography#filmmaking#filmmaker
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A new way to edit in-camera 🎥💻 The Handheld Ripple FX filter features a ripple glass texture that creates an organic “fluid like” effect when held in front of your lens! The effect is reminiscent of step printing & slow shutter in camera effects. The handheld filter also features a center hole cutout that allows you to keep your subject in focus, and have the effect surround your subject! Like the name suggests, the Handheld Ripple FX creates a fluid like distortion effect when held in front of your lens. The handheld design and center cut hole give you full creative control on how you drive the effect! Available in 2 different sizes 100mm & 150mm Keep it in camera with @prismlensfx 🎥 by @julien.york #cinematography #cinematographer #photographer #videographer
1:02

A new way to edit in-camera 🎥💻 The Handheld Ripple FX filter features a ripple glass texture that creates an organic “fluid like” effect when held in front of your lens! The effect is reminiscent of step printing & slow shutter in camera effects. The handheld filter also features a center hole cutout that allows you to keep your subject in focus, and have the effect surround your subject! Like the name suggests, the Handheld Ripple FX creates a fluid like distortion effect when held in front of your lens. The handheld design and center cut hole give you full creative control on how you drive the effect! Available in 2 different sizes 100mm & 150mm Keep it in camera with @prismlensfx 🎥 by @julien.york #cinematography #cinematographer #photographer #videographer

Prism Lens FX

16,000 görüntüleme • 8 ay önce

Our new virtual try-on feature uses a technique called diffusion to show you what clothes look like on a wide range of people. Learn more about the tech that's making it easier for you to get a better sense of what clothes will look like on you →
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Our new virtual try-on feature uses a technique called diffusion to show you what clothes look like on a wide range of people. Learn more about the tech that's making it easier for you to get a better sense of what clothes will look like on you →

Google

803,472 görüntüleme • 3 yıl önce

In a previous video we had a look at the Modeling Cloth add-on. Did you know it also has a tool that can fill any outline with geometry? This can be very handy for creating pieces of cloth from a pattern. #B3D #Blender #Blender3D Get the newest version of the add-on here (tested with Blender 4.1.1)
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In a previous video we had a look at the Modeling Cloth add-on. Did you know it also has a tool that can fill any outline with geometry? This can be very handy for creating pieces of cloth from a pattern. #B3D #Blender #Blender3D Get the newest version of the add-on here (tested with Blender 4.1.1)

Jan van den Hemel

44,181 görüntüleme • 2 yıl önce

We created a series of simplified notebooks that cover essential aspects of Stable Diffusion, using the vanilla Stable Diffusion 2.1 base to utilise it as a face-editing model for building your own face app 🧵(1/3) Github :
0:27

We created a series of simplified notebooks that cover essential aspects of Stable Diffusion, using the vanilla Stable Diffusion 2.1 base to utilise it as a face-editing model for building your own face app 🧵(1/3) Github :

OutofAi

45,864 görüntüleme • 2 yıl önce

One of the easiest ways to improve your cinematography is to start thinking about which direction your light is coming from. Direction is a fundamental lighting principle, and one of the easiest ways to quickly make good use of it is to shoot with far side lighting in mind. The basic idea is to place the majority of your light on the opposite side of your subject from the camera. This means that the camera is looking into the shadow side of the face while the key light is wrapping around from the far side. This naturally introduces contrast and helps to create shape and depth on your subject. One of the biggest advantages of lighting this way is that it gives you a really good starting point for making lighting decisions. Instead of having lights coming from every direction, you can establish a general direction for your lighting and build the rest of the scene around it. This becomes especially useful when working through blocking and coverage. If you know where your light is coming from, you can start positioning your talent and camera in ways that maintain that direction. It also makes it easier to predict how the light will behave when you move in for closeups or change camera angles. The other advantage is how easily you can manipulate contrast. Once you have a good far side key light established, you can introduce white bounce to fill in the shadows or negative fill to deepen them. This gives you a lot of control over the image without having to completely change the lighting setup. Far side lighting isn’t necessarily the right choice for every scene, but it’s a really useful technique to understand. It’s a great building block that you can use to light and manage any scene. #cinematography #filmlighting #videography #filmmakersoftiktok #filmmaking
1:17

One of the easiest ways to improve your cinematography is to start thinking about which direction your light is coming from. Direction is a fundamental lighting principle, and one of the easiest ways to quickly make good use of it is to shoot with far side lighting in mind. The basic idea is to place the majority of your light on the opposite side of your subject from the camera. This means that the camera is looking into the shadow side of the face while the key light is wrapping around from the far side. This naturally introduces contrast and helps to create shape and depth on your subject. One of the biggest advantages of lighting this way is that it gives you a really good starting point for making lighting decisions. Instead of having lights coming from every direction, you can establish a general direction for your lighting and build the rest of the scene around it. This becomes especially useful when working through blocking and coverage. If you know where your light is coming from, you can start positioning your talent and camera in ways that maintain that direction. It also makes it easier to predict how the light will behave when you move in for closeups or change camera angles. The other advantage is how easily you can manipulate contrast. Once you have a good far side key light established, you can introduce white bounce to fill in the shadows or negative fill to deepen them. This gives you a lot of control over the image without having to completely change the lighting setup. Far side lighting isn’t necessarily the right choice for every scene, but it’s a really useful technique to understand. It’s a great building block that you can use to light and manage any scene. #cinematography #filmlighting #videography #filmmakersoftiktok #filmmaking

Maxwell // Filmmaker

14,300 görüntüleme • 11 gün önce

It's like ChatGPT, but for proteins 😍 See RFdiffusion in action. Instead of writing essays, this AI tool builds new protein structures from scratch, or based on your prompts (like a desired shape or motif). It's powered by a deep learning technique called diffusion models, which are also behind tools like DALL·E and Stable Diffusion. I just tried it in Google Colab — and it’s mind-blowing to watch a protein form step-by-step. If you're into protein design, synthetic biology — this is worth exploring. 🧪 Try it here:
0:27

It's like ChatGPT, but for proteins 😍 See RFdiffusion in action. Instead of writing essays, this AI tool builds new protein structures from scratch, or based on your prompts (like a desired shape or motif). It's powered by a deep learning technique called diffusion models, which are also behind tools like DALL·E and Stable Diffusion. I just tried it in Google Colab — and it’s mind-blowing to watch a protein form step-by-step. If you're into protein design, synthetic biology — this is worth exploring. 🧪 Try it here:

Rafeeque

35,936 görüntüleme • 1 yıl önce

#b3d tip: The Modeling Cloth add-on adds a lot of functionality for working with cloth objects. For example, you can grab the cloth object and manipulate it while it’s being simulated. This video gives a brief introduction. ⇨ Download Modeling Cloth on Github for free: ⇨ Support the developer and buy Modeling Cloth on Gumroad: Get your free sample e-book: ⇨
0:59

#b3d tip: The Modeling Cloth add-on adds a lot of functionality for working with cloth objects. For example, you can grab the cloth object and manipulate it while it’s being simulated. This video gives a brief introduction. ⇨ Download Modeling Cloth on Github for free: ⇨ Support the developer and buy Modeling Cloth on Gumroad: Get your free sample e-book: ⇨

Jan van den Hemel

33,857 görüntüleme • 2 yıl önce

A quality of life improvement I’m excited for! You can now open the agent chat panel into a new window on the Figma desktop app for both macOS and Windows. It stays visible when you work with other tools or switch tabs. Here's what's new: → Open the agent chat into its own window → Move it anywhere on your screen → Keep it visible while you design
0:20

A quality of life improvement I’m excited for! You can now open the agent chat panel into a new window on the Figma desktop app for both macOS and Windows. It stays visible when you work with other tools or switch tabs. Here's what's new: → Open the agent chat into its own window → Move it anywhere on your screen → Keep it visible while you design

Mal

15,108 görüntüleme • 2 ay önce

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:
0:28

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:

Timothy Young

10,180 görüntüleme • 2 yıl önce

Mother-in-law gave a white cloth on the first night and said that by the next morning it should have blood on it. What kind of ritual is this?
1:26

Mother-in-law gave a white cloth on the first night and said that by the next morning it should have blood on it. What kind of ritual is this?

DemonX

18,924 görüntüleme • 7 ay önce

Did you know that in Blender you can easily make pillows with the 'Cloth' modifier? ✨ 1. Select the object that's gonna be beneath your pillow 2. Press 'Collision' on the physics tab 3. Add a cube and add some loops to it with Ctrl+R 4. Press 'Cloth' on the physics tab 5. Enable 'Pressure' and set the custom target volume to 1. You can tweak this value depending on how big your pillow is 6. Decrease the collision distance in 'Object Collisions' 7. Press space to play the animation 8. Press Ctrl+3 to add a subdiv modifier with 3 levels to make it look smoother! You can choose a frame that you like and apply the 'Cloth' modifier to make it into a static mesh by going to the Modifiers tab, hovering over the 'Cloth' Modifier and pressing Ctrl+A! For better results add more loops to your original mesh! ✨ #b3d
0:39

Did you know that in Blender you can easily make pillows with the 'Cloth' modifier? ✨ 1. Select the object that's gonna be beneath your pillow 2. Press 'Collision' on the physics tab 3. Add a cube and add some loops to it with Ctrl+R 4. Press 'Cloth' on the physics tab 5. Enable 'Pressure' and set the custom target volume to 1. You can tweak this value depending on how big your pillow is 6. Decrease the collision distance in 'Object Collisions' 7. Press space to play the animation 8. Press Ctrl+3 to add a subdiv modifier with 3 levels to make it look smoother! You can choose a frame that you like and apply the 'Cloth' modifier to make it into a static mesh by going to the Modifiers tab, hovering over the 'Cloth' Modifier and pressing Ctrl+A! For better results add more loops to your original mesh! ✨ #b3d

passivestar

175,099 görüntüleme • 3 yıl önce

This may look like a game of Counterstrike running slowly, but it actually extraordinary. The entire game is created, frame-by-frame, on my *home computer* by an AI diffusion model in response to my actions. There is no game engine, just a "world model" trained on Counterstrike
0:30

This may look like a game of Counterstrike running slowly, but it actually extraordinary. The entire game is created, frame-by-frame, on my *home computer* by an AI diffusion model in response to my actions. There is no game engine, just a "world model" trained on Counterstrike

Ethan Mollick

376,496 görüntüleme • 2 yıl önce

Announcing Diffusion Forcing Transformer (DFoT), our new video diffusion algorithm that generates ultra-long videos of 800+ frames. DFoT enables History Guidance, a simple add-on to any existing video diffusion models for a quality boost. Website: (1/7)
0:36

Announcing Diffusion Forcing Transformer (DFoT), our new video diffusion algorithm that generates ultra-long videos of 800+ frames. DFoT enables History Guidance, a simple add-on to any existing video diffusion models for a quality boost. Website: (1/7)

Boyuan Chen

176,540 görüntüleme • 1 yıl önce

This is getting interesting. In this iteration, the magnifying glass is tracked in real-time, feeding only what is seen through it to the diffusion process, revealing the invisible within a piece of clay. Real-time diffusion with Stream Diffusion + SDXL Turbo. #StableDiffusion #SDXLTurbo #StreamDiffusion #StabilityAI #Realtime
1:16

This is getting interesting. In this iteration, the magnifying glass is tracked in real-time, feeding only what is seen through it to the diffusion process, revealing the invisible within a piece of clay. Real-time diffusion with Stream Diffusion + SDXL Turbo. #StableDiffusion #SDXLTurbo #StreamDiffusion #StabilityAI #Realtime

Hugues Bruyère

26,655 görüntüleme • 2 yıl önce

SCoPE: We found a surprisingly simple way to encode the 3D camera directly into video diffusion — and it works remarkably well.
2:00

SCoPE: We found a surprisingly simple way to encode the 3D camera directly into video diffusion — and it works remarkably well.

Ying Shan

13,402 görüntüleme • 3 ay önce

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.
2:19

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.

Xiaolong Wang

241,277 görüntüleme • 3 yıl önce

MVDream: Multi-view Diffusion for 3D Generation paper page: propose MVDream, a multi-view diffusion model that is able to generate geometrically consistent multi-view images from a given text prompt. By leveraging image diffusion models pre-trained on large-scale web datasets and a multi-view dataset rendered from 3D assets, the resulting multi-view diffusion model can achieve both the generalizability of 2D diffusion and the consistency of 3D data. Such a model can thus be applied as a multi-view prior for 3D generation via Score Distillation Sampling, where it greatly improves the stability of existing 2D-lifting methods by solving the 3D consistency problem. Finally, we show that the multi-view diffusion model can also be fine-tuned under a few shot setting for personalized 3D generation, i.e. DreamBooth3D application, where the consistency can be maintained after learning the subject identity.
0:44

MVDream: Multi-view Diffusion for 3D Generation paper page: propose MVDream, a multi-view diffusion model that is able to generate geometrically consistent multi-view images from a given text prompt. By leveraging image diffusion models pre-trained on large-scale web datasets and a multi-view dataset rendered from 3D assets, the resulting multi-view diffusion model can achieve both the generalizability of 2D diffusion and the consistency of 3D data. Such a model can thus be applied as a multi-view prior for 3D generation via Score Distillation Sampling, where it greatly improves the stability of existing 2D-lifting methods by solving the 3D consistency problem. Finally, we show that the multi-view diffusion model can also be fine-tuned under a few shot setting for personalized 3D generation, i.e. DreamBooth3D application, where the consistency can be maintained after learning the subject identity.

AK

294,583 görüntüleme • 3 yıl önce

Another weekend project: GridStore Jean Cavallera and I are building simple but useful dApps that make LUKSO more accessible and easier to use. This is GridStore, an “app store” for Grid templates. You can choose a template you like and, with a single transaction, upload it to your Universal Profile and use it as your Grid. This is made possible by LSP28 The Grid, where the configurations of your Grid are stored in a JSON file on IPFS. The value stored under your ⁩LSP28TheGrid⁨ data key stored on your Universal Profile points to your grid configuration JSON file. By adding the value of a grid template you like under the ⁩LSP28TheGriddata key, you can set immediately that template on your Grid and start customizing it, saving you time. If you have ideas for useful templates for brands, artists, influencers, or any other use case: set up the Grid on a Universal Profile, go to look up the profile, and send me the “Raw value” together with a short explanation of the Grid so it can be added to the store. Or add your own templates to the store by opening a PR: It would really help if we can create some high-quality templates that the whole community can use. You can check out the store here:
1:21

Another weekend project: GridStore Jean Cavallera and I are building simple but useful dApps that make LUKSO more accessible and easier to use. This is GridStore, an “app store” for Grid templates. You can choose a template you like and, with a single transaction, upload it to your Universal Profile and use it as your Grid. This is made possible by LSP28 The Grid, where the configurations of your Grid are stored in a JSON file on IPFS. The value stored under your ⁩LSP28TheGrid⁨ data key stored on your Universal Profile points to your grid configuration JSON file. By adding the value of a grid template you like under the ⁩LSP28TheGriddata key, you can set immediately that template on your Grid and start customizing it, saving you time. If you have ideas for useful templates for brands, artists, influencers, or any other use case: set up the Grid on a Universal Profile, go to look up the profile, and send me the “Raw value” together with a short explanation of the Grid so it can be added to the store. Or add your own templates to the store by opening a PR: It would really help if we can create some high-quality templates that the whole community can use. You can check out the store here:

JordyDutch

14,060 görüntüleme • 9 ay önce

this is the workflow for 90% of the assets i create for myself or for clients - start in a diffusion model to get the best aesthetics - bring it into a multimodal model (Nano Banana Pro) in Higgsfield to create a second frame and/or fix details - use a high quality video model that supports start and end frames (Kling 3.0 Omni in Higgsfield) to create a sick shot in <60 seconds model literacy and knowing which ones to grab and when is one of the biggest turning points I see in AI practices. it starts to feel more like another language instead of a black box that you are always just gambling on
0:29

this is the workflow for 90% of the assets i create for myself or for clients - start in a diffusion model to get the best aesthetics - bring it into a multimodal model (Nano Banana Pro) in Higgsfield to create a second frame and/or fix details - use a high quality video model that supports start and end frames (Kling 3.0 Omni in Higgsfield) to create a sick shot in <60 seconds model literacy and knowing which ones to grab and when is one of the biggest turning points I see in AI practices. it starts to feel more like another language instead of a black box that you are always just gambling on

techbimbo

16,681 görüntüleme • 3 ay önce