Best stable diffusion models for architecture. inputs are now your initial noise for.

Stable Diffusion (SD) is one of the popular generative AI models among AI enthusiasts and ordinary people. stable diffusion added the entire latent Mar 29, 2024 · Txt2Img Stable Diffusion models generates images from textual descriptions. Source: DALL·E 2’s research paper. This model is characterized by sleek and angular forms, bold color schemes, and high-tech materials and devices. In the context of text-to-image generation, a diffusion model is a generative model that you can use to generate high-quality images from textual descriptions. It is created by Prompthero and available on Hugging Face for everyone to download and use for free. Some of these models are well-trained in creating landscape images better than others. 5 base models like Photon and Epic Realism are still usable, they have largely been surpassed by fine-tuned models built on the newer SDXL architecture. Gross proportions. XSArchi_127新科幻Neo Sci-Fi is a Stable Diffusion LoRA model that contains all sci-fi scenarios and subdivision styles. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. When creating a 360 in 3D as opposed to using a photo it means you don't get any This video will take a deep dive into using Stable Diffusion for Architecture. 1 model for image generation. Pitfalls. At the time of release (October 2022), it was a massive improvement over other anime models. Stable Diffusion turns text into images using machine learning algorithms. May 5, 2024 · Cyberpunk Interior Design – v1. Any architectural/technical checkpoints out there? Has anyone released a model trained on more technical drawings? I’m talking about CAD drawings, schematics, exploded view diagrams, architectural drawings, etc. Created by the researchers and engineers from Stability AI, CompVis, and LAION, “Stable Diffusion” claims the crown from Craiyon, formerly known as DALL·E-Mini, to be the new state-of-the-art, text-to-image, open-source model. Stable Diffusion v3 introduces a significant upgrade from v2 by shifting from a U-Net architecture to an advanced diffusion transformer architecture. The diffusion process, in which the model applies a series of transformations to a noise vector to generate a new image, is a critical component of the generator. Here are some of the best Stable Diffusion models for generating landscape images: DreamShaper XL Aug 24, 2023 · Model card: Stable Diffusion x4 Upscaler Model Card; Pipeline: Stable Diffusion Latent Upscale Unraveling the Theory. 5:07. Additionally, you can find models that specialize in Nov 30, 2023 · The Stable Video Diffusion Model aims to make the following contributions in the field of generative video modeling. You just need to block out a scene in 3D first. Stable Diffusion XL (SDXL) 1. blurry, noisy, deformed, flat, low contrast, unrealistic, oversaturated, underexposed. It will cover the following topics:Everything under the Generation TabSampling Made this with anything v3 & controlnet : r/StableDiffusion. Why it matters: Given more processing power and data, transformers achieve better performance than other architectures in numerous tasks. And voilà! This is how you can use diffusion models for a wide variety of tasks like super-resolution, inpainting, and even text-to-image with the recent stable diffusion open-sourced model through the conditioning process while being much more efficient and allowing you to run them on your GPUs instead of requiring hundreds of them. Both the forward and reverse process indexed by t happen for some number of finite time steps T (the DDPM authors use T=1000 ). Most recently, practitioners will have seen I think if you can stay close to the original 3D depth map it will probably create much better results than generating it from an image. Aug 27, 2022 · Taking this modified and de-noised input in the latent space to construct a final high-resolution image, basically upsampling your result. The neural architecture is connected Dec 1, 2022 · Openjourney. 5B parameter base model. To obtain this image embedding, a CLIP model is trained on Edit: Though this isn't a perfect check, nothing unusual turned up. And this method works like a charm, to say the least. 3 days ago · Stable Diffusion 3. It's a versatile model that can generate diverse May 21, 2023 · Stable Diffusion Learns Architectural TricksThrough the use of ControlNet presets, the neural network now has the capability to transform the simplest sketch Stable Diffusion v1 refers to a specific configuration of the model architecture that uses a downsampling-factor 8 autoencoder with an 860M UNet and CLIP ViT-L/14 text encoder for the diffusion model. 5:13. 3 days ago · It’s Juggernaut XL. Stable Diffusion is powered by Latent Diffusion, a cutting-edge text-to-image synthesis technique. Design a commercial building with sleek lines, clean Apr 2, 2024 · Stable Diffusion 2. The model can be accessed via ClipDrop today, with API Stable Diffusion XL 1. I have found that using keywords like " art by cgsociety, evermotion, cgarchitect, architecture photography," helps, and using in negative prompt "wavy lines, low resolution, illustration". Best Overall Model: SDXL. Dec 21, 2022 · Diffusion Architecture is building a gallery of the most fascinating and unique architecture generated by AI. Juggernaut XL is a fine-tuned model based on the Stable Diffusion XL model, which is newer and arguably better than SD 1. Browse architecture Stable Diffusion models, checkpoints, hypernetworks, textual inversions, embeddings, Aesthetic Gradients, and LORAs Sep 7, 2023 · Sep 7, 2023. ControlNet 2. Popular diffusion models include Open AI’s Dall-E 2, Google’s Imagen, and Stability AI's Stable Diffusion. More importantly, it finally solves one May 16, 2024 · Checkpoint 1: Realistic Vision 3. Zendaya is one of Hollywood’s most famous actresses thanks to her captivating performances in movies such as Dune and Spiderman. Any good models for architecture? Made this with anything v3 & controlnet. (Open in Colab) Build your own Stable Diffusion UNet model from scratch in a notebook. Abstract We explore a new class of diffusion models based on the transformer architecture. Hassanblend is a model also created with the additional input of NSFW photo images. selective focus, miniature effect, blurred background, highly detailed, vibrant, perspective control. Notably, Stable Diffusion v1-5 has continued to be the go to, most popular checkpoint released, despite the releases of Stable Diffusion v2. Best Realistic Model: Realistic Vision. 1. Setting up a cloud environment is critical in running Stable Diffusion Models on cloud-based GPUs. Supported use cases: Advertising and marketing, media and entertainment, gaming and metaverse. Note: Stable Diffusion v1 is a general text-to-image diffusion Aug 28, 2023 · NAI is a model created by the company NovelAI modifying the Stable Diffusion architecture and training method. In Oct 27, 2023 · Diffusion models are deep-learning-based generative models that can generate new data from input parameters. It is the only generative model that is fully open-sourced. Two weeks later, in December, Stability AI published the most recent stable version of the flag model to date – version 2. 4. Training the model is relatively straightforward compared to some other types of generative model. 1. VideoProc under Digiarty has attracted 4. Openjourney is one of the most popular fine-tuned Stable Diffusion models on Hugging Face with 56K+ downloads last month at the time of Mar 4, 2024 · The array of fine-tuned Stable Diffusion models is abundant and ever-growing. Training a standard diffusion model can take 150–1000 V100-days which is a lot of computation. space adding attention a transformer. 0 is Stable Diffusion's next-generation model. A U-Net This is the diffusion model responsible for generating images. It is a model that rivals the SDXL model. Copy the Model Files: Copy the downloaded model files from the downloads directory and paste them into the “models” directory of the software. Mar 5, 2024 · Stable Diffusion 3 outperforms state-of-the-art text-to-image generation systems such as DALL·E 3, Midjourney v6, and Ideogram v1 in typography and prompt adherence, based on human preference evaluations. Oct 3, 2022 · Diffusion is a new model architecture which creates images from noise, by learning how to repeatedly remove noise, guided by a prompt. Jan 31, 2024 · More Prompts: Stable Diffusion Architecture Prompts. Remember, we want the model to do a good job estimating how to ‘fix’ (denoise) both extremely noisy images and images that are close to perfect. The developer was kind enough to test some prompts because the model wasn’t publicly Sep 23, 2023 · tilt-shift photo of {prompt} . The diffusion model is trained to remove this particular noise in a backward step. It also supports the inpainting of generated images. Body horror. Explore thousands of high-quality Stable Diffusion models, share your AI-generated art, and engage with a vibrant community of creators Apr 17, 2024 · 5 Best Practices to Train a Stable Diffusion Model. It is quite simple, but it gets complicated later with further improvements to diffusion models (e. 5. The Copax TimeLess SDXL is a versatile diffusion model, offering an expansive range of artistic styles far beyond genre constraints, especially in rendering detailed characters and facial expressions, thanks to its roots in the reliable SDXL 1. Because of that, you need to find the best Stable Diffusion Model for your needs. May 22, 2023 · 4. Three of the best realistic stable diffusion models. VAE relies on a surrogate loss. then you have the same diffusion model i. if not, anyone willing to but something like that May 21, 2023 · Architecture Prompts to design office buildings, retail stores, and other commercial buildings: Prompt: Design a commercial building with an industrial theme, featuring exposed brick walls, steel beams, and large windows. Download XSArchi_127 from Civitai. 5 models often require more careful prompting and LoRA adjustments to achieve desired styles. This list of prompts will help you a lot in generating illustrations using Stable Diffusion. 5:11. Apr 14, 2024 · Stable Diffusion models are trained on specific datasets, allowing them to generate images in particular styles. The most advanced text-to-image model from Stability AI. 5/2. Stable Diffusion is a text-to-image open-source model that you can use to create images of different styles and content simply by providing a text prompt. theyre easily found on civitai. Feb 12, 2024 · With extensive testing, I’ve compiled this list of the best checkpoint models for Stable Diffusion to cater to various image styles and categories. 5:04. 5 are among the most popular checkpoints on Stable Diffusion thanks to their versatility. Apr 28, 2024 · With the mission to "Art Up Your Digital Life", Digiarty provides AI video/image enhancement, editing, conversion, and more solutions. x Models. Openjourney is a fine-tuned Stable Diffusion model that tries to mimic the style of Midjourney. Besides SD 1. This component runs for multiple steps to generate image information. Our new Multimodal Diffusion Transformer (MMDiT) architecture uses separate sets of weights for image and language representations, which Mar 17, 2024 · This week Stability AI announced Stable Diffusion 3 (SD3), the next evolution of the most famous open-source model for image generation. 5 model, SDXL is well-tuned for vibrant colors, better contrast, realistic shadows, and great lighting in a native 1024×1024 resolution. Around a month ago, I saw this post on the Stable Diffusion subreddit about a new model, and I asked about its capabilities for architectural images. Please recommend! cheesedaddy was made for it, but really most models work. In the first part Jan 27, 2024 · While the base Stable Diffusion model is good, users from the Stable Diffusion community have made their own models that are trained on specific styles or images. To enhance efficiency, recent studies have reduced sampling steps and applied network quantization while retaining the original architectures. It features higher image quality and better text generation. Conclusion. 5:09. 5 does ok, but curious if anyone has put together something more targeted. It was created to generate background Jun 22, 2023 · 22 Jun. One of the more interesting things about the development history of these models is the nature of how the wider community of researchers and creators have chosen to adopt them. -Generated Picture Won an Art Prize. So I am wondering, what is the best model for generating good looking interiors (preferably also realistic)? As far as I know, there is no model trained exclusively on interiors. Jan 11, 2024 · Copax Timeless SDXL. Best Fantasy Model: DreamShaper. This enhances scalability, supporting models with up to 8 billion parameters and multi-modal inputs. A Variational autoencoder consisting of an encoder and a decoder model. ArchitectureRealMix. Aug 30, 2023 · Diffusion Explainer is a perfect tool for you to understand Stable Diffusion, a text-to-image model that transforms a text prompt into a high-resolution image. Images made with Stable Diffusion. . This method was described in a paper published by AI researchers at the Nov 2, 2022 · The image generator goes through two stages: 1- Image information creator. Although generating images from text already feels like ancient technology, Stable Diffusion Older vs Newer Models. To aid your selection, we present a list of versatile models, from the widely celebrated Stable diffusion v1. Checkpoint 3: epiCRealism 5. Cloned body. 5 and SDXL, the best stable diffusion checkpoint models are DreamShaperXL, Realistic Vision, EpiCRealsim, and several more. Jun 5, 2024 · Stable Cascade is a new text-to-image model released by Stability AI, the creator of Stable Diffusion. Feb 12, 2024 · This model significantly improves over the previous Stable Diffusion models as it is composed of a 3. Creating an Account. A handful of seminal papers released in the 2020s alone have shown the world what Diffusion models are capable of, such as beating GANs [6] on image synthesis. The training time is possible on as little as a single RTX 3090, and we can obtain good results already after 16 hours of training with a dataset of size 50k images. The resolution has increased by 168%, from 768×768 pixels in v2 to 2048× Mar 29, 2023 · November 2022 brought another iteration of the Stable Diffusion architecture – Stable Diffusion 2. 5:01. We train latent diffusion Prompt: A beautiful young blonde woman in a jacket, [freckles], detailed eyes and face, photo, full body shot, 50mm lens, morning light. Feb 10, 2023 · We present ControlNet, a neural network architecture to add spatial conditioning controls to large, pretrained text-to-image diffusion models. The best way to go around it is to try a combination of these words and generate images. Aug 30, 2022 · The Model Architecture. Her fans will be ecstatic to know there’s a fine-tuned Zendaya Stable Diffusion model! I tested the model and even though it’s not perfect, it’s the best I’ve come across. Sep 25, 2023 · LDM/Stable-Diffusion: Standard diffusion models calculate probabilities for fine-grain details that may not be perceptible by humans. The “ArchitectureRealMix” model is a powerful AI tool specifically designed for creating stunning and realistic architectural designs. According to their popularity, here are some of the best Stable Diffusion Models: Stable Diffusion Waifu Diffusion; Realistic Stable Diffusion v1 refers to a specific configuration of the model architecture that uses a downsampling-factor 8 autoencoder with an 860M UNet and CLIP ViT-L/14 text encoder for the diffusion model. (with < 300 lines of codes!) (Open in Colab) Build a Diffusion model (with UNet + cross attention) and train it to generate MNIST images based on the "text prompt". 4. 56 FID. Jan 24, 2023 · The complete architecture of Stable Diffusion consists of three models: A text-encoder that accepts the text prompt. Mar 5, 2024 · Improper scale. Nov 1, 2023 · Step 1: Setting Up Cloud Environment. 5 model. Jun 7, 2022 · a learned reverse denoising diffusion process p θ p_\theta pθ , where a neural network is trained to gradually denoise an image starting from pure noise, until you end up with an actual image. This component is the secret sauce of Stable Diffusion. Overview of DALL·E 2’s architecture. It has also been used to create detailed and visually stunning sci-fi cityscapes, landscapes, and wallpapers. 4:59. 0 architecture. 5 ckpt in the scan as a control, and because it throws a false positive, so you can see how the other ckpts aren't flagged for anything unusual. 0 is a Stable Diffusion LoRA model available on Civitai that allows users to generate images with a futuristic, technology-driven aesthetic for interior design. Checkpoint Comparison 6. As you can see from the examples, Juggernaut XL can create humans, objects, landscapes, architecture, and basically everything you can come up with a prompt for. Languages: English. ControlNet builds on top of the Stable Diffusion model. Just like its predecessor, it is available in the form of a demo [20]. 0 and v2. B asically, using Stable Diffusion doesn’t necessarily mean sticking strictly to the official 1. We also offer workshops and consultations based on these technologies applied to design field. This goes for the authors’ transformer-enhanced diffusion model as well. Feb 28, 2024 · July 7 2023. Our new Multimodal Diffusion Transformer (MMDiT) architecture uses separate sets of weights for image and language representations, which Aug 8, 2023 · Stable diffusion introduces cross-attention layers into the model architecture, enabling the diffusion models to become robust and flexible generators for various conditioning inputs, such as text or bounding boxes. feature to diffusion models these merged. Ugly body. Aug 30, 2022 · Aug 30, 2022. the diffusion process. Following the successful release of Stable Diffusion XL beta in April, SDXL 0. 3. Accessibility and User-Friendliness. Fine-tuning supported: No. g. 9, the most advanced development in the Stable Diffusion text-to-image suite of models. This approach aims to align with our core values and democratize access, providing users with a variety of options for scalability and quality to best meet their creative needs. You should make sure to use a large and diverse dataset of images that I'am having hard times generating good looking interior with v 1. Released in late 2022, the 2. Diffusion models can complete various tasks, including image generation, image denoising, inpainting, outpainting, and bit diffusion. It’s In this video we'll show you full step-by-step guide on using Stable Diffusion in architectural and interior visualization. Mar 18, 2024 · On human preference evaluations, SD3 has shown advancements in typography and prompt adherence, setting a new standard in text-to-image generation Stable Diffusion 3 is the latest version of the Stable Diffusion models. Here are the best practices for training a high-quality Stable Diffusion model: Curate High-Quality Training Data: The quality of your training data will have a significant impact on the quality of your model’s output. Checkpoint 2: CyberRealistic 4. We show selected sam-ples from two of our class-conditional DiT-XL/2 models trained on ImageNet at 512⇥512 and 256⇥256 resolution. Nov 9, 2023 · Model architecture is a modified U-Net architecture. It displays amazing results in fidelity and resolution, making it, both visually and quantitatively speaking, the best text-to-image (T2I) model in the industry today. These models have an increased resolution of 768x768 pixels and use a different CLIP model called Whether it’s creating surreal landscapes, realistic portraits, or abstract designs, the best stable diffusion models offer unparalleled versatility, making them essential tools for modern artists. Too many fingers. Flow models have to use specialized architectures to construct reversible transform. even base 1. Oct 7, 2023 · 2. The user-friendly nature of the best stable diffusion models is a key factor in their widespread adoption. This is definitely the best Stable Diffusion Model I have used so far. Hassanblend V1. 1 [19]. Whilst the then popular Waifu Diffusion was trained on SD + 300k anime images, NAI was trained on millions. Any new updates, upgrades, or downgrades to either of these libraries may result in incompatibilities and May 12, 2022 · Diffusion Models are generative models which have been gaining significant popularity in the past several years, and for good reason. is then fed into the denoise diffusion model based on a ResNet architecture 28 to Aug 28, 2022 · Images made with Stable Diffusion. Controlnet helps a little, but not much. Oct 9, 2023 · Dreamshaper XL. To present a systematic and effective data curation workflow in an attempt to turn a large collection of uncurated video samples to high-quality dataset that is then used by the generative video models. This involves several steps, including creating an account, choosing the right GPU instance, and ensuring the appropriate security settings are in place. However, online discussion forums suggest that it is a combination of diffusion models (mainly a variant of Stable Diffusion) and large language models (LLMs) to process text prompts and generate images. We would like to show you a description here but the site won’t allow us. Note: Stable Diffusion v1 is a general text-to-image diffusion Aug 31, 2022 · DALL·E 2 builds on the foundation established by GLIDE and takes it a step further by conditioning the diffusion process with CLIP image embeddings, instead of with raw text embeddings as proposed in GLIDE. They operate in pixel space which is very high dimensional. 5 models, each with their unique allure and general-purpose capabilities, to the SDXL model, a veritable upgrade boasting higher resolutions and quality. In this article, I will attempt to dispel some mysteries regarding these models and hopefully paint a May 26, 2023 · Stable Diffusion architecture. 2. It is trained on a huge dataset of text and images. Playing with Stable Diffusion and inspecting the internal architecture of the models. Artists Aren’t Happy, Kevin Roose (2022) How diffusion models work: the math from scratch, Karagiannakos and Adaloglouon (2022) Oct 27, 2023 · Use the “XSarchitectural-8japanwabisabi” model to immerse yourself in the peace and elegance of Japanese architecture. Enter the captivating realm of Stable Diffusion, a local installation tool committed to pushing the boundaries of realism in image generation. For example, if you type in a cute I am looking to generate stylized and realistic landscapes and wondering which model is best suited for it. any of the big realistic mixes or even fantasy mixes. Diffusion models are inspired by non-equilibrium thermodynamics. Stable Diffusion is built for text-to-image generation, leveraging a latent diffusion model trained on 512x512 images from a Jul 11, 2021 · GAN models are known for potentially unstable training and less diversity in generation due to their adversarial training nature. Cloned face. It’s where a lot of the performance gain over previous models is achieved. However, it’s output is by no means limited to nude art content. 5 works just fine. Even though the depth map didn't work I think the image came out pretty good. Base 1. x series includes versions 2. 12 best Stable Diffusion Models. ControlNet locks the production-ready large diffusion models, and reuses their deep and robust encoding layers pretrained with billions of images as a strong backbone to learn a diverse set of conditional controls. So, that concludes our mega list of the best Stable Diffusion illustration prompts and models. Dreamshaper models based on SD 1. 4 and v1. The user provides a text prompt, and the model interprets this prompt to create a corresponding image. Img2Img (Image-to-Image) The Img2Img Stable Diffusion models, on the other hand, starts with an existing image and modifies or transforms it based on additional input Nov 28, 2023 · The Illustrated Stable Diffusion, Jay Alammar (2022) Diffusion Model Clearly Explained!, Steins (2022) Stable Diffusion Clearly Explained!, Steins (2023) An A. Oct 10, 2023 · Midjourney is a closed-source model, so its internal architecture is publicly unavailable. Convert text prompts to computer-readable vectors. ControlNet 1. In any case, I think it’s a safe bet to assume it was trained in a similar way to how Mar 5, 2024 · Stable Diffusion 3 outperforms state-of-the-art text-to-image generation systems such as DALL·E 3, Midjourney v6, and Ideogram v1 in typography and prompt adherence, based on human preference evaluations. I. 0. covered in my image and video but still Nov 7, 2022 · 40 Best Stable Diffusion Architecture Prompts. 0 and 2. Workshop plan:1. The model was pretrained on 256x256 images and then finetuned on 512x512 images. 0 [18]. For example, you can use anime diffusion models like DreamShaper, Kenshi, Arcane Diffusion, AbyssOrangeMix3, MeinaMix, Cetus-Mix, and CuteYukiMix to create anime-style fantasy art. Feb 22, 2024 · The Stable Diffusion 3 suite of models currently ranges from 800M to 8B parameters. Today, Stability AI announces SDXL 0. Introduction. May 25, 2023 · Text-to-image (T2I) generation with Stable Diffusion models (SDMs) involves high computing demands due to billion-scale parameters. Dall-E 2: Dall-E 2 revealed in April 2022, generated even more realistic images at higher resolutions Apr 7, 2023 · The ControlNet architecture is indeed a type of neural network that is used in the Stable Diffusion AI art generator to condition the diffusion process. The 1. 6 million users from 180+ countries. Incorporate modern amenities and create an open, loft-like atmosphere. and conditioning inputs in this latent. In this article, you will learn. We repeatedly 1) Load in some images from the training data 2) Add noise, in different amounts. Best SDXL Model: Juggernaut XL. Unlike the previous Stable Diffusion 1. And voilà! This is how you can use diffusion models for a wide variety of tasks like super-resolution, inpainting, and even text-to-image with the recent stable diffusion Aug 9, 2023 · A latent diffusion model that used a U-Net (104 gigaflops) achieved 10. An image is taken, and some gaussian noise is added to it. “Stable Diffusion” models, as they are commonly known, or Latent Diffusion Models as they are known in the scientific world, have taken the world by storm, with tools like Midjourney capturing the attention of millions. This architectural enhancement opens up new possibilities for image synthesis and allows for high-resolution generation in a Figure 1: Diffusion models with transformer backbones achieve state-of-the-art image quality. Aug 28, 2023 · For instance, generating anime-style images is a breeze, but specific sub-genres might pose a challenge. Jun 4, 2024 · XSArchi_127新科幻Neo Sci-Fi. They can create people, video game characters We would like to show you a description here but the site won’t allow us. Max tokens: 77-token limit for prompts. Benefits of Stable Cascade; Model architecture; Best model settings; How to install and use Stable Cascade The Stable-Diffusion-v1-5 checkpoint was initialized with the weights of the Stable-Diffusion-v1-2 checkpoint and subsequently fine-tuned on 595k steps at resolution 512x512 on "laion-aesthetics v2 5+" and 10% dropping of the text-conditioning to improve classifier-free guidance sampling. I’ve covered pretty much every illustration style so that you know how to generate various May 30, 2023 · The authors proposed an architecture that efficiently tunes the parameters of the original stable diffusion model. 9 produces massively improved image and composition detail over its predecessor. The lack of architectural reduction attempts may stem from worries over expensive retraining for such massive models. Unfortunately, I didn’t find many references about this latent upscaler trained by Katherine Crowson in collaboration with Stability AI. While the classic Stable Diffusion 1. Included the stable diffusion 1. Setting up the right dependencies or versions is very critical for the right functioning of stable diffusion. You don’t have to use all these words together in your negative prompts. 5. Aug 28, 2022 · learn the best way to combine the input. Best Anime Model: Anything v5. Install the Models: Find the installation directory of the software you’re using to work with stable diffusion models. ControlNet. Stable diffusion is a multi-model architecture where two important libraries are being used: diffusers and transformers. Oct 4, 2022 · The image generator goes through two stages: 1- Image information creator. Stable Diffusion 3 combines a diffusion transformer architecture and flow matching. Each ckpt is scanned twice, via two different approaches, for good measure. inputs are now your initial noise for. io nd yb ja cv nf cd br nk cq