You'll see this on the txt2img tab: Jan 29, 2023 · prompt: cool image. Jan 10, 2023 · The networks are trained so that the input of the encoder and the output of the decoder is nearly identical. The next step is to install the tools required to run stable diffusion; this step can take approximately 10 minutes. 29. Stable Diffusion made training and processing images more efficient and accessible by operating in a compressed or latent space rather than directly on high-resolution images. Generate AI image. switching out the latent decoder. Jul 17, 2023 · What is Stable Diffusion. This tensor, determined by the random number generator’s seed, represents the image in its latent form, albeit as noise at this stage. Open up your browser, enter "127. Apr 1, 2023 · As usual, copy the picture back to Krita. Aside from understanding text-image pairs, the model is trained to add a bit of noise to a given image over X amount of steps until it ends up with an image that's 100% noise and 0% discernible image. Refinement prompt and generate image with good composition. We begin by applying noise to an image repeatedly, which creates a “ Markov chain ” of images. We’ll take a look into the reasons for all the attention to stable diffusion and more importantly see how it works under the hood by considering the well-written paper “High-resolution image Jan 9, 2023 · Lexica is a collection of images with prompts. Model checkpoints were publicly released at the end of August 2022 by a collaboration of Stability AI, CompVis, and Runway with support from EleutherAI and LAION. , HTML alt-text tags) and other fields. Run Stable Diffusion using AMD GPU on Windows. Aug 30, 2023 · 1. Apr 5, 2023 · To train a diffusion model, there are two processes: a forward diffusion process to prepare training samples and a reverse diffusion process to generate the images. The model diagram from the research paper sums it up well Nov 2, 2022 · Learn how Stable Diffusion, a versatile AI image generation system, works by breaking it down into three components: text encoder, image information creator, and image decoder. Stable Diffusion v1. Stable Diffusion 3 Medium. The key to good iterations per second is high VRAM and lots of compute. Click the Send to Inpaint icon below the image to send the image to img2img > inpainting. Notes for ControlNet m2m script. Choose a model. Here's a step-by-step guide: Load your images: Import your input images into the Img2Img model, ensuring they're properly preprocessed and compatible with the model architecture. py. sh; And everything worked fine. This helps to smooth out the image and create a more realistic texture. For more details on how the whole Stable Diffusion pipeline works, please have a look at this blog post. If you want faster results you can use a smaller number. Feb 13, 2024 · SD Upscale is a script that comes with AUTOMATIC1111 that performs upscaling with an upscaler followed by an image-to-image to enhance details. Lol apparently someone tried generating images of gang members and it went about as well as you would expect. Intel's Arc GPUs all worked well doing 6x4, except the Oct 7, 2022 · Stable Diffusion is a machine learning-based Text-to-Image model capable of generating graphics based on text. It really amazes me how a consistently a new amazing thing in AI comes out to much fanfare, someone does a really obvious "is this racist" test, and the answer is always yes. 1:7860" or "localhost:7860" into the address bar, and hit Enter. 1GB each. . Aug 31, 2022 · One year later, DALL·E is but a distant memory, and a new breed of generative models has absolutely shattered the state-of-the-art of image generation. 10 venv; bash webui. Just like the ones you would learn in the introductory course on neural networks. Jun 21, 2023 · Stable Diffusion generates images in a step-by-step process. Unlike other generative models like Imagen , which directly work in the image space, Latent Diffusion models bring down the diffusion process from the Image Space to a Lower Dimensional Latent Space. For a full list of model_id values and which models are fine-tunable, refer to Built-in Algorithms with pre-trained Model Table . Forward diffusion gradually adds noise to images. Jan 26, 2023 · LoRA fine-tuning. In this article, I will attempt to dispel some mysteries regarding these models and hopefully paint a Oct 19, 2023 · The Process of Stable Diffusion. Loading parts of a model onto each GPU and processing a single input at one Mar 8, 2023 · Stable diffusion works by applying a set of transformations to a noise vector in order to generate an image. If you download the file from the concept library, the embedding is the file named learned_embedds. Feb 13, 2023 · Seeing Mr. Let’s load stabilityai’s newest auto-decoder Stable Diffusion is a Latent Diffusion model developed by researchers from the Machine Vision and Learning group at LMU Munich, a. That will save a webpage that it links to. Use the paintbrush tool to create a mask on the face. Apr 26, 2024 · 1. 3 which is 20-30%. Final adjustment with photo-editing software. Stable Diffusion 3 is the latest and largest image Stable Diffusion model. Equipped with the depth map, the model has some knowledge of the three-dimensional composition of the scene. bin. The company's AI image generator involved Runway ML, EleutherAI, German company LAION and a research group from LMU Sep 27, 2022 · Stable diffusion is all the rage in the #deeplearning community at the moment. Stable Diffusion is a text-to-image model that transforms a text prompt into a high-resolution image. The secret sauce of Stable Diffusion is that it "de-noises" this image to look like things we know about. Here we attempt a tradeoff between clarity and brevity. 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 The report provides an in-depth look at how Stable Diffusion 3 works and how it outperforms existing text-to-image generation systems. This process is repeated a dozen times. With your images prepared and settings configured, it's time to run the stable diffusion process using Img2Img. The default settings are pretty good. Stable Diffusion is an AI image generator that generates digital images based on prompts, which are instructions in text form. Before getting to videos, let’s do a recap on how Stable Diffusion works for images. com/Check out Qwak, sponsoring this video: https://www Apr 6, 2023 · How the Stable Diffusion Checkpoint Merger Works. In this video I'll be demoing Stable Diffusion running locally on an RX 6900 XT. The generative artificial intelligence technology is the premier product of Stability AI and is considered to be a part of the ongoing artificial intelligence boom. Step 5: Batch img2img with ControlNet. AUTOMATIC1111 is a powerful Stable Diffusion Web User Interface (WebUI) that uses the capabilities of the Gradio library. Jan 17, 2024 · Step 4: Testing the model (optional) You can also use the second cell of the notebook to test using the model. DALL·E 2 results for the caption “An armchair in the shape of an avocado”. Mar 20, 2023 · When a user asks Stable Diffusion to generate an output from an input image, whether that is through image-to-image (img2img) or InPaint, it initiates this process by adding noise to that input based on a seed. First, it compresses data into a smaller form known as latent space. As we look under the hood, the first observation we can make is that there’s a text-understanding component that translates the text information into a numeric representation that captures the ideas in the text. Here are the system requirements, as listed per the official Stable Diffusion website. Adding the LCM sampler with AnimateDiff extension. You will need Windows 10/11, Linux or Mac operating system. DALL·E results for the caption “An armchair in the shape of an avocado”. 1 base model identified by model_id model-txt2img-stabilityai-stable-diffusion-v2-1-base on a custom training dataset. Its capabilities include text-to-image, image-to-image, graphic artwork, image editing, and video creation. However, what sets Stable Diffusion Feb 16, 2023 · Click the Start button and type "miniconda3" into the Start Menu search bar, then click "Open" or hit Enter. Fix defects with inpainting. sh {your_arguments*} *For many AMD GPUs, you must add --precision full --no-half or --upcast-sampling arguments to avoid NaN errors or crashing. ROCm Aug 27, 2022 · Subscribe to my Newsletter (My AI updates and news clearly explained): https://louisbouchard. Most AI artists use this WebUI (as do I), but it does require a bit of know-how to get started. Stable Diffusion. Oct 4, 2022 · Stable Diffusion is a system made up of several components and models. Principle of Diffusion models (sampling, learning) Diffusion for Images – UNet architecture. Note the control image must already be pre-processed, you can use controlNet in main txt2img tab for this, or external application. Sep 27, 2023 · The workflow is a multiple-step process. Nov 25, 2023 · The hypernetwork is usually a straightforward neural network: A fully connected linear network with dropout and activation. There’s a lot more to it of course, and Feb 6, 2023 · Stable Diffusion is well known for recreating the company’s watermark in some of its images, and Getty argues that the appearance of this watermark on the model’s “bizarre or grotesque . After compressing the image into a compact latent space, the AI iteratively adds and removes noise until the final output matches the Feb 24, 2024 · In Automatic111 WebUI for Stable Diffusion, go to Settings > Optimization and set a value for Token Merging. Only the attached modules are modified during training. The backbone diffusion Aug 7, 2023 · So next time you see something spreading—be it heat, a smell, or even a rumor—just think: that's stable diffusion at work! Stable Diffusion in Nature and Science. Step 6: Convert the output PNG files to video or animated gif. Copy the prompt, paste it to the Stable Diffusion and press Generate to see generated images. Step 4: Generate images. May 8, 2023 · In the case of Stable Diffusion this term can be used for the reverse diffusion process. Easier way is to install a Linux distro (I use Mint) then follow the installation steps via docker in A1111's page. Dec 29, 2022 · The depth map is then used by Stable Diffusion as an extra conditioning to image generation. It then adds and removes noise from this space in a systematic manner. So once you find a relevant image, you can click on it to see the prompt. 3. Like the Stable Diffusion prompt matrix, the Stable Diffusion checkpoint merger allows you to generate photo-realistic AI images that suit your artistry needs by combining different checkpoints to create the exact images you need. Mar 4, 2024 · 3. The algorithm works by using partial differential equations to calculate the diffusion rate of pixels on an image. It separates the imaging process into a “diffusion” process at runtime- it starts with only noise and gradually improves the image until it is entirely free of noise, progressively approaching the provided text description. In such a way, we are able to get some number T of repeatedly more noisy images from a singular original image. How it works. The weights are available under a community license. Like you would think after it keeps happening AI researchers would at least try to account for t /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. The application was developed by Stability AI, a London-based startup that has been around since 2020. Rutkowski’s work alongside his name allowed the tool to learn his style effectively enough that when Stable Diffusion was released to the public last year, his name became shorthand Jan 30, 2024 · Stable Diffusion local requirements. patreon. All of our testing was done on the most recent drivers and BIOS versions using the “Pro” or “Studio” versions of Stable Diffusion v1. Stable Diffusion is a diffusion model that generates images by operating on the latent representations of those images. So: pip install virtualenv (if you don't have it installed) cd stable-diffusion-webui; rm -rf venv; virtualenv -p /usr/bin/python3. It is a significant improvement over previous text-image generators Next, we can also try to optimize single components of the pipeline, e. Although Stable Diffusion models are trained on almost every This is pretty good, but you're missing a big step in how the training works in a diffusion model. If you’ve ever tried to take a picture when it’s too dark, and the picture came out all grainy, that graininess is an example of “ noise ” in an image. Jan 2, 2023 · To quickly summarize: Stable Diffusion (Latent Diffusion Model) conducts the diffusion process in the latent space, and thus it is much faster than a pure diffusion model. At its core, Stable Diffusion is an image diffusion model. Negative text prompt. It’s trending on Twitter at #stablediffusion and gaining large amounts of attention all over the internet. Source: OpenAI’s DALL·E blogpost. It utilizes a technique called latent diffusion to synthesize striking photographic images directly from textual descriptions. gg/7VQGTgjQpy🧠 AllYourTech 3D Printing: http Feb 27, 2024 · Stable Diffusion v3 hugely expands size configurations, now spanning 800 million to 8 billion parameters. Images made with Stable Diffusion. 5. To produce an image, Stable Diffusion first generates a completely random image in the latent space. The weight of the Stable Diffusion model is locked so that they are unchanged during training. This step will take a few minutes depending on your CPU speed. It promises to outperform previous models like Stable …. Settings for sampling method, sampling steps, resolution, etc. /webui. The steps in this workflow are: Build a base prompt. Powered By. Make sure not to right-click and save in the below screen. After applying stable diffusion techniques with img2img, it's important to Dec 21, 2022 · Stable Diffusion Removes Noise from Images. Full model fine-tuning of Stable Diffusion used to be slow and difficult, and that's part of the reason why lighter-weight methods such as Dreambooth or Textual Inversion have become so popular. Stable Diffusion and self-attention guidance are complex processes that are difficult to describe briefly while also saying what they are actually doing. These images are saved in a database along with their text descriptions (e. Sep 22, 2022 · I had that problem on Unbuntu and solved it by deleting the venv folder inside stable-diffusion-webui then recreating the venv folder using virtualenv specifically. Here's my attempt to ELI5 how Stable Diffusion works: Billions of images are scraped from Pinterest, blogs, shopping portals, and other websites. And since the same de-noising method is used every time, the same seed with the same prompt & settings will always produce the same image. We use Stable Diffusion to generate art, but what it actually does behind the scenes is “clean up” images! Nov 14, 2022 · Stable Diffusion. g. Stable Diffusion is a text-to-image model that uses a frozen CLIP ViT-L/14 text encoder to tune the model at text prompts. Using the prompt. com/allyourtech⚔️ Join the Discord server: https://discord. It’s trending on Twitter at #stablediffusion and gaining large amounts of atte Dec 15, 2023 · AMD's RX 7000-series GPUs all liked 3x8 batches, while the RX 6000-series did best with 6x4 on Navi 21, 8x3 on Navi 22, and 12x2 on Navi 23. 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. Here’s a data explorer for “Ghibli” images. Feb 27, 2023 · Does Stable Diffusion work on Intel graphics cards? Like AMD GPUs, Intel graphics cards are not officially supported by Stable Diffusion. 1. The amount of noise it adds is controlled by Denoising Strength, which can be a minimum of 0 and a maximum of 1. Step 5: Setup the Web-UI. cd C:/mkdir stable-diffusioncd stable-diffusion. It’s broadly available and needs significantly less processing power than many other text-to-image models. 1, Hugging Face) at 768x768 resolution, based on SD2. The first step is to generate a 512x512 pixel image full of random noise, an image without any meaning. Models are downloaded on first use, ~1. Step 1: Text-to-Image Initialization. 1 is out, with controlNet for SD3. Obviously, there are a lot of complex processes occurring when Stable Aug 27, 2022 · Stable diffusion is all the rage in the deep learning community at the moment. Diffusion in latent space – AutoEncoderKL. Stable Diffusion is a free AI model that turns text into images. 5 models. (Alternatively, use Send to Img2img button to send the image to the img2img canvas) Step 3. Step 1: Load the workflow. Setting a value higher than that can change the output image drastically so it’s a wise choice to stay between these values. It is not one monolithic model. Step 1: Convert the mp4 video to png files. a CompVis. Sep 16, 2023 · Contents. 0 alpha. Stable Diffusion is cool! Build Stable Diffusion “from Scratch”. Stable Diffusion XL. Feb 7, 2024 · What is VAE in Stable Diffusion. They hijack the cross-attention module by inserting two networks to transform the key and query vectors. Reverse Diffusion: inferencing, using the trained model to inference Jun 12, 2024 · Using LCM-LoRA in AUTOMATIC1111. 10 Comments. Jun 21, 2023 · Running the Diffusion Process. seed: 1. The predicted noise is subtracted from the image. Stable Diffusion 3 Medium is the latest and most advanced text-to-image AI model in our Stable Diffusion 3 series, comprising two billion parameters. Dec 3, 2023 · When using a negative prompt, a diffusion step is a step towards the positive prompt and away from the negative prompt. Mar 28, 2023 · The sampler is responsible for carrying out the denoising steps. 4. 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. It excels in photorealism, processes complex prompts, and generates clear text. 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. Jun 21, 2023 · Apply the filter: Apply the stable diffusion filter to your image and observe the results. Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. 1-768. VAE stands for Variable Auto Encoder which is part of the neural network model in Stable Diffusion. Safe Stable Diffusion shares weights with the Stable Diffusion v1. Nov 28, 2023 · Luckily, you can use inpainting to fix it. This process ensures that neighboring pixels have similar values, resulting in an image Aug 30, 2023 · Stable Diffusion is a modified version of the Latent Diffusion Model(LDM). This isn't supposed to look like anything but random noise. 2. Oct 11, 2023 · Stable Diffusion is an AI system that uses a deep learning technique called diffusion models to generate images. Prompt string along with the model and seed number. The model was pretrained on 256x256 images and then finetuned on 512x512 images. See how diffusion, a step-by-step process of adding and removing noise, creates images from text or alters images. Step 1. Stable diffusion is like that, except the water is gaussian noise, the ink is the result of the neural net, and the end murky dark liquid is a beautiful realistic image. Step 2: Enter Img2img settings. Click “Select another prompt” in Diffusion Explainer to change Stable Diffusion 3: A comparison with SDXL and Stable Cascade. This site offers easy-to-follow tutorials, workflows and structured courses to teach you everything you need to know about Stable Diffusion. Step 2. Sep 22, 2022 · This Python script will convert the Stable Diffusion model into onnx files. You should now be on the img2img page and Inpaint tab. To generate this noise-filled image we can also modify a parameter known as seed, whose default value is -1 (random). Prompt: oil painting of zwx in style of van gogh. These transformations are applied iteratively over a series of time steps, during which noise is gradually added to the image to make it more complex and realistic. 0. It is responsible for encoding and decoding images from latent space to pixel space. The diffusion process involves iteratively updating a set of image pixels based on a diffusion equation. Stable Diffusion works quite well with a relatively small number of steps, so we recommend to use the default number of inference steps of 50. Diffusers now provides a LoRA fine-tuning script that can run Aug 3, 2023 · This version of Stable Diffusion creates a server on your local PC that is accessible via its own IP address, but only if you connect through the correct port: 7860. For example, if you type in In general, results are better the more steps you use, however the more steps, the longer the generation takes. Now, let's step outside and see how stable diffusion works in the real world. That should work on windows but I didn't try it. For more information, you can check out Nov 6, 2023 · To understand how Diffusion models work, let’s first look at how they are trained, which is done in a slightly nonintuitive way. The noise predictor then estimates the noise of the image. Safe Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input. New stable diffusion finetune ( Stable unCLIP 2. Step 4: Choose a seed. Navigate to Img2img page. For commercial use, please contact Sep 7, 2023 · Sep 7, 2023. It operates on the principle of diffusion models, which aim to model the process of how a signal, such as an image, evolves. Stable diffusion works using two concepts: Forward Diffusion: training, via deliberately noising an image. Step 1: Text-to-Image Initialization Stable Diffusion starts by generating a random tensor in the latent space. oil painting of zwx in style of van gogh. substack. with my newly trained model, I am happy with what I got: Images from dreambooth model. This concludes our Environment build for Stable Diffusion on an AMD GPU on Windows operating system. You can set a value between 0. Repeat the process until you achieve the desired outcome. Install and run with:. Upload an image to the img2img canvas. ComfyUI LCM-LoRA SDXL text-to-image workflow. Stable diffusion use a auto encoder (vae) that makes the image 1/8 as big, reducing the pixel count by a factor of 64! Feb 20, 2023 · The following code shows how to fine-tune a Stable Diffusion 2. In fact, stable diffusion plays a huge role in nature and A Chinese website that provides answers to various questions. Over 4X more parameters accessible in 8 billion ceiling from v2’s maximum 2 billion. This allows it the diffusion model to run at a much lower resolution and still produce high resolution results. Thumbnail image partly created by Jul 7, 2024 · ControlNet works by attaching trainable network modules to various parts of the U-Net (noise predictor) of the Stable Diffusion Model. In this post, I will go through the workflow step-by-step. What is Img2Img in Stable Diffusion Setting up The Software for Stable Diffusion Img2img How to Use img2img in Stable Diffusion Step 1: Set the background Step 2: Draw the Image Step 3: Apply Img2Img The End! For those who haven’t been blessed with innate artistic abilities, fear not! Img2Img and Stable Diffusion can help elevate Jun 1, 2024 · Stable Diffusion is a cutting-edge technique in the field of generative artificial intelligence (AI) that focuses on generating high-quality images or samples from a given dataset. We're going to create a folder named "stable-diffusion" using the command line. May 9, 2023 · Support my work on Patreon: https://www. Oct 21, 2023 · In summary, Stable Diffusion works by leveraging diffusion models within an encoder-decoder network trained on massive image and text datasets. Iterate if necessary: If the results are not satisfactory, adjust the filter parameters or try a different filter. Upscale the image. Copy and paste the code block below into the Miniconda3 window, then press Enter. Safe Stable Diffusion is driven by the goal of suppressing inappropriate images other large Diffusion models generate, often unexpectedly. Simply put, when you give a prompt to Stable Diffusion, the model is trained to generate a realistic image of something that matches your description. Images generated by Stable Diffusion based on the prompt we’ve provided. Method 2: ControlNet img2img. Stable UnCLIP 2. However, there is a fork that does support it. Oct 24, 2022 · Combine that with the ability to guide noise removal in a way that favors conforming to a text prompt, and one has the bones of a text-to-image generator. In Stable Diffusion, images are generated in latent space and then converted into a higher-quality image with the help of VAE. If --upcast-sampling works as a fix with your card, you should have 2x speed (fp16) compared to running in full precisi Jul 31, 2023 · PugetBench for Stable Diffusion 0. Now let’s choose the “Bezier Curve Selection Tool”: With this, let’s make a selection over the right eye, copy and paste it to a new layer, and For Windows go to Automatic1111 AMD page and download the web ui fork. Note that the diffusion in Stable Diffusion happens in latent space, not images. “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. Till now, such models (at least to this rate of success) have been controlled by big organizations like OpenAI and Google (with their model Imagen). Stable Diffusion 3 excels in image generation, outperforming other systems such as DALLE 3, Midjourney v6, and Ideogram v1, particularly in typography and prompt adherence. k. This enables major increases in image resolution and quality outcome measures: 168% boost in resolution ceiling from v2’s 768×768 to 2048×2048 pixels. These two processes are done in the latent space in stable diffusion for faster speed. This allows translating text prompts into photorealistic imagery with control over attributes through latent space manipulation. Stable Diffusion represents a notable improvement in text-to-image model generation. Step 2: Load a SDXL model. First, download an embedding file from Civitai or Concept Library. It's not just about food coloring in water. Step 3: Enter ControlNet settings. For example, if you type in a cute and adorable bunny, Stable Diffusion generates high-resolution images depicting that — a cute and adorable bunny — in a few seconds. To make Stable Diffusion work on your PC, it’s definitely worth checking out the system requirements. This model allows for image variations and mixing operations as described in Hierarchical Text-Conditional Image Generation with CLIP Latents, and, thanks to its modularity, can be combined with other models such as KARLO. 5. 2 to 0. Let words modulate diffusion – Conditional Diffusion, Cross Attention. In other words, depth-to-image uses three conditionings to generate a new image: (1) text prompt, (2) original image and (3) depth map. This is Primarily to avoid unethical use of the model, it kind of sucks due to limited Aug 14, 2023 · The Stable Diffusion model uses “diffusion” to generate high-quality images from text. Nov 28, 2023 · Video generated by Stable Video Diffusion. Oct 4, 2022 · AI image generators are massive, but how are they creating such interesting images? Dr Mike Pound explains what's going on. Step 3: Download and load the LoRA. Aug 16, 2023 · How Stable Diffusion Works Let’s begin with a brief theory lesson. With LoRA, it is much easier to fine-tune a model on a custom dataset. It was created by researchers at Anthropic, a San Francisco-based AI safety startup Stable diffusion is an algorithm used for image processing that enhances the quality of an image by filtering out noise and other artifacts. The original generative AI for images, generative adversarial networks (GANs), were improved upon by Dec 24, 2023 · MP4 video. Nov 22, 2023 · Using embedding in AUTOMATIC1111 is easy. Open your command prompt and navigate to the stable-diffusion-webui folder using the following command: cd path / to / stable - diffusion - webui. Loading an entire model onto each GPU and sending chunks of a batch through each GPU’s model copy at a time. In order to test the performance in Stable Diffusion, we used one of our fastest platforms in the AMD Threadripper PRO 5975WX, although CPU should have minimal impact on results. Dec 19, 2023 · Stable Diffusion is a deep learning model that utilizes diffusion processes to generate high-quality artwork from input images. python save_onnx. The image evolves from a noisy form to a clear, final picture, guided by the text you provide. Understanding prompts – Word as vectors, CLIP. The model "remembers" what the amount of noise Jun 13, 2024 · diffusers 0. Technically, a positive prompt steers the diffusion toward the images associated with it, while a negative prompt steers the diffusion away from it. me vi ty ic bx fm pq cl ey ve