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Uber realistic porn merge (urpm) is one of the best stable diffusion models out there, even for non-nude renders. It produces very realistic looking people. I often use Realistic vision, epicrealism and Majicmix. You can find example of my comics series on my profile. Stable Diffusion is a deep learning model used for converting text to images. It can generate high-quality, photo-realistic images that look like real photographs by simply inputting any text. The latest version of this model is Stable Diffusion XL, which has a larger UNet backbone network and can generate even higher quality images. /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. for version v1.7.0 [Settings tab] -> [Stable Diffusion section] -> [Stable DiffusionMake your images come alive in 3D with Depthmap script and Depthy webapp! So this is pretty cool. You can now make depth maps for your SD images directly in AUTOMATIC1111 using thygate's Depthmap script here: Drop that in your scripts folder, (edit: and clone the MiDaS repository), reload, and then select it under the scripts dropdown./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.

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Skin color options were determined by the terms used in the Fitzpatrick Scale that groups tones into 6 major types based on the density of epidermal melanin and the risk of skin cancer. The prompt used was: photo, woman, portrait, standing, young, age 30, VARIABLE skin. Skin Color Variation Examples. I have created a free bot to which you can request any prompt via stable diffusion and it will reply back with a 4 images which match it. It supports dozens of styles and models (including most popular dreambooths). Simply mention " u/stablehorde draw for me " + the prompt you want drawn. Optionally provide a style or category to use.

Here is a summary: The new Stable Diffusion 2.0 base model ("SD 2.0") is trained from scratch using OpenCLIP-ViT/H text encoder that generates 512x512 images, with improvements over previous releases (better FID and CLIP-g scores). SD 2.0 is trained on an aesthetic subset of LAION-5B, filtered for adult content using LAION’s NSFW filter .Text-to-image generation is still on the works, because Stable-Diffusion was not trained on these dimensions, so it suffer from coherence. Note : In the past, generating large images with SD was possible, but the key improvement lies in the fact that we can now achieve speeds that are 3 to 4 times faster, especially at 4K resolution.Solar tube diffusers are an essential component of a solar tube lighting system. They are responsible for evenly distributing natural light throughout a space, creating a bright an...Intro. Stable Diffusion is a Latent Diffusion model developed by researchers from the Machine Vision and Learning group at LMU Munich, a.k.a CompVis. Model checkpoints were publicly released at the end of …

Making Stable Diffusion Results more like Midjourney. I was introduced to the world of AI art after finding a random video on YouTube and I've been hooked ever since. I love the images it generates but I don't like having to do it through Discord and the limitation of 25 images or having to pay. So I did some research looking for AI Art that ...

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randomgenericbot. •. "--precision full --no-half" in combination force stable diffusion to do all calculations in fp32 (32 bit flaoting point numbers) instead of "cut off" fp16 (16 bit floating point numbers). The opposite setting would be "--precision autocast" which should use fp16 wherever possible. By "stable diffusion version" I mean the ones you find on Hugging face, for example there's stable diffusion v-1-4-original, v1-5, stable-diffusion-2-1, etc. (Sorry if this is like obvious information I'm very new to this lol) I just want to know which is preferred for NSFW models, if there's any difference. In other words, it's not quite multimodal (Finetuned Diffusion kinda is, though. Wish there was an updated version of it). The basic demos online on Huggingface don't talk to each other, so I feel like I'm very behind compared to a lot of people. The state of the art AI image generation engine.This is just a comparison of the current state of SDXL1.0 with the current state of SD1.5. For each prompt I generated 4 images and I selected the one I liked the most. For SD1.5 I used Dreamshaper 6 since it's one of the most popular and versatile models. A robot holding a sign with the text “I like Stable Diffusion” drawn in 1930s Walt ...This beginner's guide to Stable Diffusion is an extensive resource, designed to provide a comprehensive overview of the model's various aspects. Ideal for beginners, …This is Joseph Saveri and Matthew Butterick. In Novem­ber 2022, we teamed up to file a law­suit chal­leng­ing GitHub Copi­lot, an AI cod­ing assi­tant built on unprece­dented open-source soft­ware piracy. In July 2023, we filed law­suits on behalf of book authors chal­leng­ing Chat­GPT and LLaMA. In Jan­u­ary 2023, on behalf of ...

For the Stable Diffusion community folks that study the near-instant delivery of naked humans on demand, you'll be happy to learn that Uber Realistic Porn Merge has been updated to 1.3 on Civitai for download . The developer posted these notes about the update: A big step-up from V1.2 in a lot of ways: - Reworked the entire recipe multiple times.portrait of a 3d cartoon woman with long black hair and light blue eyes, freckles, lipstick, wearing a red dress and looking at the camera, street in the background, pixar style. Size 672x1200px. CFG Scale 3. Denoise Strength 0.63. The result I send it back to img2img and I generate again (sometimes with same seed) Discussion. Curious to know if everyone uses the latest Stable Diffusion XL engine now or if there are pros and cons to still using older engines vs newer ones. When using the API, what other API do you tend to use all the available parameters to optimise image generation or just stick with prompts, steps and width/height? Sort by: Add a ... Wildcards are a simple but powerful concept. You place text files in the wildcards folder containing words or phrases you want to use as a wildcard. Each on it's own line. You can then reference the wildcard in your prompt using the name of the file with double underscore characters either side. Each time an image is generated, the extension ...Prompt templates for stable diffusion. Since a lot of people who are new to stable diffusion or other related projects struggle with finding the right prompts to get good results, I started a small cheat sheet with my personal templates to start. Simply choose the category you want, copy the prompt and update as needed.

Stable Diffusion Video 1.1 just released. Fine tuning was performed with fixed conditioning at 6FPS and Motion Bucket Id 127 to improve the consistency of outputs without the need to adjust hyper parameters. These conditions are still adjustable and have not been removed.The argument that America's cultural reluctance to accept explicit imagery is rooted in its Puritanical origins begins with the historical context of the early European settlers.

/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. This is a very good video that explains the math of diffusion models using nothing more than basic university level math taught in e.g. engineering MSc programs. Except for one thing: you assume several times that the viewer is familiar with Variational Autoencoders. That may have been a mistake. A viewer with strong enough background of ... Following along the logic set in those two write-ups, I'd suggest taking a very basic prompt of what you are looking for, but maybe include "full body portrait" near the front of the prompt. An example would be: katy perry, full body portrait, digital art by artgerm. Now, make four variations on that prompt that change something about the way ...Cellular diffusion is the process that causes molecules to move in and out of a cell. Molecules move from an area of high concentration to an area of low concentration. When there ...Any tips appreciated! It’s one of the core features, called img2img. Usage will depend on where you are using it (online or locally). If you don't have a good GPU they have the google-colab. Basically you pick a prompt, an image and a strength (0=no change, 1=total change) python scripts/img2img.py --prompt "A portrait painting of a person in ...Stable diffusion is a latent diffusion model. A diffusion model is basically smart denoising guided by a prompt. It's effective enough to slowly hallucinate what you describe a little bit more each step (it assumes the random noise it is seeded with is a super duper noisy version of what you describe, and iteratively tries to make that less ...

This was very useful, thanks a lot for posting it! I was mainly interested in the painting Upscaler, so I conducted a few tests, including with two Upscalers that have not been tested (and one of them seems better than ESRGAN_4x and General-WDN. 4x_foolhardy_Remacri with 0 denoise, as to perfectly replicate a photo.

The sampler is responsible for carrying out the denoising steps. To produce an image, Stable Diffusion first generates a completely random image in the latent space. The noise predictor then estimates the noise of the image. The predicted noise is subtracted from the image. This process is repeated a dozen times. In the end, you get a clean image.

Steps for getting better images. Prompt Included. 1. Craft your prompt. The two keys to getting what you want out of Stable Diffusion are to find the right seed, and to find the right prompt. Getting a single sample and using a lackluster prompt will almost always result in a terrible result, even with a lot of steps. I have created a free bot to which you can request any prompt via stable diffusion and it will reply back with a 4 images which match it. It supports dozens of styles and models (including most popular dreambooths). Simply mention " u/stablehorde draw for me " + the prompt you want drawn. Optionally provide a style or category to use. IMO, what you can do is that after the initial render: - Super-resolution your image by 2x (ESRGAN) - Break that image into smaller pieces/chunks. - Apply SD on top of those images and stitch back. - Reapply this process multiple times. With each step - the time to generate the final image increases exponentially. In other words, it's not quite multimodal (Finetuned Diffusion kinda is, though. Wish there was an updated version of it). The basic demos online on Huggingface don't talk to each other, so I feel like I'm very behind compared to a lot of people.It would be nice to have a less contrasty input video mask, in order to make it more subtle. When using video like this, you can actually get away with much less "definition" in every frame. So that when you pause it frame by frame, it will be less noticable. Again, amazingly clever to make a video like this. 57.IMO, what you can do is that after the initial render: - Super-resolution your image by 2x (ESRGAN) - Break that image into smaller pieces/chunks. - Apply SD on top of those images and stitch back. - Reapply this process multiple times. With each step - the time to generate the final image increases exponentially.This is Joseph Saveri and Matthew Butterick. In Novem­ber 2022, we teamed up to file a law­suit chal­leng­ing GitHub Copi­lot, an AI cod­ing assi­tant built on unprece­dented open-source soft­ware piracy. In July 2023, we filed law­suits on behalf of book authors chal­leng­ing Chat­GPT and LLaMA. In Jan­u­ary 2023, on behalf of ... In other words, it's not quite multimodal (Finetuned Diffusion kinda is, though. Wish there was an updated version of it). The basic demos online on Huggingface don't talk to each other, so I feel like I'm very behind compared to a lot of people.

AUTOMATIC1111's fork is the most feature-packed right now. There's an installation guide in the readme + troubleshooting section in the wiki in the link above (or here ). Edit: To update later, navigate to the stable-diffusion-webui directory, and type git pull --autostash. This will pull all the latest changes./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.Code from Himuro-Majika's Stable Diffusion image metadata viewer browser extension \r"," Reading metadata with ExifReader, extra search results supported by String-Similarity \r"," Lazyload Script from Verlok, webfont is Google's Roboto, SVG icons fromInstagram:https://instagram. quest diagnostics astoria appointmentthetvapp.to not workingamazon john deere partsloterypost Here is a summary: The new Stable Diffusion 2.0 base model ("SD 2.0") is trained from scratch using OpenCLIP-ViT/H text encoder that generates 512x512 images, with improvements over previous releases (better FID and CLIP-g scores). SD 2.0 is trained on an aesthetic subset of LAION-5B, filtered for adult content using LAION’s NSFW filter . why did i get doep treas 310 misc paythe book of clarence showtimes near regal oakwood in stable diffusion folder open cmd and past that and hit enter. kr4k3n42. Safetensors are saved in the same folder as the .ckpt (checkpoint) files. You'll need to refresh Stable Diffusion to see it added to the drop-down list (I had to refresh a few times before it "saw" it). 37 votes, 21 comments. true.Making Stable Diffusion Results more like Midjourney. I was introduced to the world of AI art after finding a random video on YouTube and I've been hooked ever since. I love the images it generates but I don't like having to do it through Discord and the limitation of 25 images or having to pay. So I did some research looking for AI Art that ... automation arm idleon Here is a summary: The new Stable Diffusion 2.0 base model ("SD 2.0") is trained from scratch using OpenCLIP-ViT/H text encoder that generates 512x512 images, with improvements over previous releases (better FID and CLIP-g scores). SD 2.0 is trained on an aesthetic subset of LAION-5B, filtered for adult content using LAION’s NSFW filter .I found it annoying to everytime have to start up Stable Diffusion to be able to see the prompts etc from my images so I created this website. Hope it helps out some of you. In the future I'll add more features. update 03/03/2023:- Inspect prompts from image Best ...randomgenericbot. •. "--precision full --no-half" in combination force stable diffusion to do all calculations in fp32 (32 bit flaoting point numbers) instead of "cut off" fp16 (16 bit floating point numbers). The opposite setting would be "--precision autocast" which should use fp16 wherever possible.