that extension really helps. After some testing I think the degradation is more noticeable with concepts than styles. Uncharacteristically, it's not as tidy as I'd like, mainly due to a challenge I have with passing the checkpoint/model name through reroute nodes. 9 workflow, the one that olivio sarikas video works just fine) just replace the models with 1. Thanks. I created this comfyUI workflow to use the new SDXL Refiner with old models: json here. E. The negative prompt sounds like frustration to me. Install the SDXL auto1111 branch and get both models from stability ai (base and refiner). Then I do multiple img2img passes with a higher resolution, more VATSIM (Virtual Air Traffic Simulation Network) is the go-to online flight simulation network, where virtual pilots can connect their flight simulators to a shared network and enjoy realistic communication and procedures by VATSIM's trained virtual Air Traffic Controllers. I've heard you get better results with full body shots if the source images used for the training were also full body shots, and also keeping the dimension to no more than 512X512 durign generation. Stable Diffusion looks too complicated”. It adds detail and cleans up artifacts. Here are the solutions: ***Basically, install the refiner extension (sd-webui-refiner). Karras in general are superb at low step counts (though LMS Karras gets lots of artifacts at high step counts, so never do that). Just like Juggernaut started with Stable Diffusion 1. I am going to experiment a bit more but if it doesn't work out, I may just use Pixart for the global compositional coherence latent base for SDXL and SD 1. This simple thing also made my that friend a fan of Stable Diffusion. First of all, sorry if this doesn't make sense, i'm french so english isn't my native language and i'm self-taught when it comes to english. I've tried this article, but the result does not give me what I wanted. i tried "camera from behind" or "camera shot from behind", i cant really think of other prompts to use, but iv only been able to get like 1 out of 20 images to be from behind with this. I just released version 4. 78. Inpainting is almost always needed to fix the face consistency. We need laws that mark images like this as AI generated so we don't get low self-esteem. No surprises, Medium is much worse. The smaller size of this model makes it perfect for running on consumer PCs and laptops as well as enterprise-tier GPUs. Normal Hires. In my opinion the renders of pixart tend to be more interesting and beautiful than the SD3 renders, but they need a second pass with a refiner. 7 in the Refiner Upscale to give a little room in the image to add details. In my experience, LMS has similar quality to 2M (both Karras and non, compared to their 2M versions), but LMS samplers are more artifact-prone, esp. First get a photo of the head in the same direction as the result in mind. And the SDE++ 2M versions are also fast per step. But stable diffusion is faster and I can load the workflow I like. ComfyUI with SDXL (Base+Refiner) + ControlNet XL OpenPose + FaceDefiner (2x) ComfyUI is hard. 5 in A1111, but now with SDXL in Comfy I'm struggling to get good results by simply sending an upscaled output to a new pair of base+refiner samplers Code Posted for Hand Refiner. Misconfiguring nodes can lead to erroneous conclusions, and it's essential to understand the correct settings for a fair assessment. Consistent character faces, designs, outfits, and the like are very difficult for Stable Diffusion, and those are open problems. Structured Stable Diffusion courses. Then install the SDXL Demo extension . 0 for ComfyUI - Now with Face Swapper, Prompt Enricher (via OpenAI), Image2Image (single images and batches), FreeU v2, XY Plot, ControlNet and ControlLoRAs, SDXL Base + Refiner, Hand Detailer, Face Detailer, Upscalers, ReVision, etc. An style can be slightly changed in the refining step, but a concept that doesn't exist in the standard dataset is usually lost or turned into another thing (I. Note: I used a 4x upscaling model which produces a 2048x2048, using a 2x model should get better times, probably with the same effect. 5 and 2. If you don't use hires. Then play with the refiner steps and strength (30/50 Activate the Face Swapper via the auxiliary switch in the Functions section of the workflow. 70 Prompt Comparison: SD3 API vs SD3 Medium. What they have is a marketable product. Anyway, while i was writing this post, there has been a new update and it now look like this : Here we go. 1), crowded, alluring eyes, detailed skin, highly detailed, hyperdetailed, intricate, soft lighting, deep focus, photographed on a Canon 5D, 24mm macro lens, F/8 aperture, film still [after]{zoom_enhance mask="face" replacement /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. It saves you time and is great for quickly fixing common issues like garbled faces. It can do this because it was trained on a lot of images paired with their text captioning with various amount of noise added to the image. Automatic1111 can’t use the refiner correctly. 3), detailed face, /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app So in order to get some answers I'm comparing SDXL1. 0 of my AP Workflow for ComfyUI. 0, VAE hash example of workflow: Prompt: full body photo of beautiful age 18 girl, elf ears, blonde hair, freckles, sexy, beautiful, BREAK hiding behind a tree in the forest /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. Hi. Looking for a tutorial to train your own face using Automatic1111. Here's how to get the benefits of Pony XL, without the drawbacks of art-style. 5 model as the "refiner"). 0 includes the following experimental functions: Free Lunch (v1 and v2) AI researchers have discovered an optimization for Stable Diffusion models that improves the quality of the generated images. The main reason why I chose to do this is a selfish one. F222 is a traditional fine tuned model that does not require a special keyword. AP Workflow v5. You can inpaint with SDXL like you can with any model. fix @Dr__Macabre. Thanks tons! Accidentally used the refiner model to generate images. The SDXL base model performs significantly better than the previous variants, and the model combined with the refinement module achieves the best overall performance. As you can see the difference is an improvement but the image retains nearly everything. The first is PixArt Sigma with no refinement and the second is after a . LewdGarlic. AP Workflow 5. 55 and go from there. (viewed from behind:1. 0 Refine. 9 refiner node. I have tried uninstalling stable diffusion (deleting Taking a good image with a poor face, then cropping into the face at an enlarged resolution of it's own, generating a new face with more detail then using an image editor to layer the new face on the old photo and using img2img again to combine them is a very common and powerful practice. I also automated the split of the diffusion steps between the Base and the Actually the normal XL BASE model is better than the refiner in some points (face for instance) but I think that the refiner can bring some interesting details. If you've seen this post before, you know what to expect. A person face changes after ADMIN MOD. People using utilities like Textual Inversion and DreamBooth have been able to solve the problem in narrow use cases, but to the best of my knowledge there isn't yet a reliable solution to make on-model characters without just straight up hand-holding the AI. 9 vae in there. They also have an SDXL Lora that kinda adds some contrast. 519K subscribers in the StableDiffusion Make sure you have: Settings -> Stable Diffusion -- > "Maximum number of checkpoints loaded at the same time" set to 2 so it wont unload and reload the model for each pass. 0 model. Not too sure how exactly to do all this others that are up to date will know better. You'll need two checkpoints "Real Pony" checkpoint (there are three, you want the one with the most upvotes on civit to start): this will be the primary checkpoint. Basically it just creates a 512x512 as usual, then upscales it, then feeds it to the refiner. Im using automatic1111 and I run the initial prompt with sdxl but the lora I made with sd1. Is there currently a way to adapt a ComfyUI workflow to avoid the refiner touching any human faces? It's removing details that I want kept there: it makes all faces smooth, de-ages them (I don't want that!) and evens them out, which deletes all of the characters' personalities, age, and uniqueness as a result. Workflow Overview: txt2Img API. next version as it should have the newest diffusers and should be lora compatible for the first time. The refiner was trained in tandem with the base, so it will not work without it. 2) and used the following negative - Negative prompt: blurry, low quality, worst quality, low resolution, artifacts, oversaturated, text, watermark, logo, signature, out SDXL 1. 2), (isometric 3d art of floating rock citadel:1), cobblestone, flowers, verdant, stone, moss, fish pool, (waterfall:1. It detects hands greater than 60x60 pixels in a 512x512 image, fits a mesh model and then generates SDXL vs SDXL Refiner - Img2Img Denoising Plot. Experimental Functions. 3) Jul 22, 2023 · After Detailer (adetailer) is a Stable Diffusion Automatic11111 web-UI extension that automates inpainting and more. choose two different styles of models, one as a base, one as a refinement of the model. /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. Describe the character and add to the end of the prompt: illustration by (Studio ghibli style, Art by Hayao Miyazaki:1. It's often not required. This one feels like it starts to have problems before the effect can Is there an explanation for how to use the refiner in ComfyUI? You can just use someone elses workflow of 0. (as mentioned Used Automatic1111, SDXL 1. There is no such thing as an SD 1. But if you use both together it will make very little differences. If the problem still persists I will do the refiner-retraining. 4 - 0. It'll be perfect if it includes upscale too (though I can upscale it in an extra step in the extras tap of automatic1111). 0 Base, moved it to img2img, removed the LORA and changed the checkpoint to SDXL 1. Use a value around 1. This simple thing made me a fan of Stable Diffusion. I want to use Pony as a base model and Juggernaut Lightning as a refiner for more realistic images. Create a Load Checkpoint node, in that node select the sd_xl_refiner_0. If you install locally you can add in your own additions to the main model. On the other hand tin my experience the SD3 renders doesn't mix very well with refiners so what you obtain is almost a dead end. Edit: I realized that the workflow loads just fine, but the prompts are sometimes not as expected. Color problems when using face reference. Use SDXL Refiner with old models. 6. Use 0. Ah also, death to the false emperor, blood for the blood god. Thanks for this - newbs coming from A1111 can be overwhelmed by the ComfyUI when trying to locate nodes. You just can't change the conditioning mask strength like you can with a proper inpainting model, but most people don't even know what that is. This series of images is made to see if the color depth in SD3 can be translated in the process of refiner pass. 5 for final detail refinement seems to give me the ultimate control. 1. This seemed to add more detail all the way up to 0. It works to a degree but maybe not enough. Kohya Deepshrink is based on Scalecrafter research. It is the curve of rolling hills. All prompts share the same seed. They mostly use python to train Stable Diffusion. For prompt use something like face, eye color, hair color, hair style, expression. 5 of my wifes face works much better than the ones Ive made with sdxl so I enabled independent prompting(for highresfix and refiner) and use the 1. 7 and then close to the base model. Try: rear view shot or just rear shot. Refiner extension not doing anything. 2), cottage. pony is anime and 2d model. I also automated the split of the diffusion steps between the Base and the I thought my gaming would be at least a lot better than my 2070 super 8gb. Last, I also performed the same test with a resize by scale of 2: SDXL vs SDXL Refiner - 2x Img2Img Denoising Plot. 3~0. Trained information is represented in an alternate form (using CLIP for text and VAE for image embeddings). In any case, we could compare the picture obtained with the correct workflow and the refiner. But I'm not sure what I'm doing wrong, in the controlnet area I find the hand depth model and can use it, I would also like to use it in the adetailer (as described in Git) but can't find or select the depth model (control_v11f1p_sd15_depth) there. 9 safetesnors file. Comparison. Suppose we want a bar-scene from dungeons and dragons, we might prompt for something like. Second, you'll need the photo style SDXL checkpoint of your preference. 5 denoise with SD1. 85, although producing some weird paws on some of the steps. Yes. Not sure if it’s the quality of the image or something but the colors become horrible and the art style becomes much more stylized instead of realistic, even when I try higher resolution images. I just started learning about Stable Diffusion recently, I downloaded the safe-tensors directly from huggingface for Base and Refiner model, I found…. The prompts: (simple background:1. The dataset I linked above contains 5 billion images, it's called LAION-5B. 74 votes, 16 comments. 0. I'll then be wondering why the image was so bad 😂. SD is a big thing with a lot going on, don't be afraid The truth about hires. Same with SDXL, you can use any two SDXL models as the base Hopefully Adetailer gets updated soon so you can choose the hands inpaint model instead of inpaint global harmonious. 5 models and LoRA are so fine tuned that while SDXL gives me a much wider range of control, getting the 'perfect' finish seems to only be reliable with 2) Set Refiner Upscale Value and Denoise value. Start with a denoise around . Legal and PR issues. Ideally the refiner should be applied at the generation phase, not the upscaling phase. For example, if you wanted a great image of a person in a firefighter outfit, you could add a specific extra ‘embedding’ model trained on images of firefighter outfits. Every time I use a face reference for my stable diffusion model I get really weird artifacts. fix with SDXL is broken. and have to close terminal and restart a1111 again to clear that OOM effect. Here is an example of two images. Edit: RTX 3080 10gb example with a shitty prompt just for demonstration purposes: Without --medvram-sdxl enabled, base SDXL + refiner took 5 mins 6. Whenever you generate images that have a lot of detail and different topics in them, SD struggles to not mix those details into every "space" it's filling in running through the denoising step. Technical details regarding Stable Diffusion samplers, confirmed by Katherine: - DDIM and PLMS are originally the Latent Diffusion repo DDIM was implemented by CompVis group and was default (slightly different update rule than the samplers below, eqn 15 in DDIM paper is the update rule vs solving eqn 14's ODE directly) /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. There is an SDXL 0. Opening the image in stable-diffusion-webui's PNG-info I can see that there are indeed two different sets of prompts in that file and for some reason the wrong one is being chosen. realvisXL is great and currently probably better than Juggernaut however it is not a Pony model so it can't do what Pony can (but can do a few things that Pony struggles with, like working with controlnet). But it's reasonably clean to be used as a learning tool, which is and will It's amazing - I can get 1024x1024 SDXL images in ~40 seconds at 40 iterations euler A with base/refiner with the medvram-sdxl flag enabled now. text_l & refiner: "(pale skin:1. We all know SD web UI and ComfyUI - those are great tools for people who want to make a deep dive into details, customize workflows, use advanced extensions, and so on. I'd like to share Fooocus-MRE (MoonRide Edition), my variant of the original Fooocus (developed by lllyasviel ), new UI for SDXL models. It's called Family pack, get with the times old man! Dude is corn. Unrealistic body standards having a 24 pack. 1 sdxl model and 1 sd1. 5, we're starting small and I'll take you along the entire journey. 9 (just search in youtube sdxl 0. Steps: (some of the settings I used you can see in the slides) Generate first pass with txt2img The checkboxes (face fix, hires fix) disappeared. I've found very good results doing 15-20 steps with SDXL which produces a somewhat rough image, then 20 steps at 0. Basically a bunch of junk so that I can perfect the image. 5 can be seen in the style of the obvious changes in 0. 6 or too many steps and it becomes a more fully SD1. I see a lot of people complaining about the new hires. 7 in the Denoise for Best results. 5 secs More than 0. but if I run Base model (creating some images with it) without activating that extension or simply forgot to select the Refiner model, and LATER activating it, it gets OOM (out of memory) very much likely when generating images. I did run the prompts on the SD3 API again to make sure they haven't changed it, and the results were the same, so it's still good. I fix all my hands in dalle-2. 45 denoise it fails to actually refine it. fix. This brings back memories of the first time that I use Stable Diffusion myself. 3 - 1. 5 refiner node. Simply ran the prompt in txt2img with SDXL 1. These sample images were created locally using Automatic1111's web ui, but you can also achieve similar results by entering prompts one at a time into your distribution/website of choice. Even the Comfy workflows aren’t necessarily ideal, but they’re at least closer. 5 model as your base model, and a second SD1. This is not my code, I'm simply posting it. It will just produce distorted, incoherent images. For today's tutorial I will be using Stable Diffusion XL (SDXL) with the 0. It'll be at the top though, not where it used to be. Can someone guide me to the best all-in-one workflow that includes base model, refiner model, hi-res fix, and one LORA. The refiner should definitely NOT be used as the starting point model for text2img. fix while using the refiner you will see a huge difference. We'll see about the actual quality, flexibility, prompt adherence and optimization, if/when SD3 comes out fully. It is the delicate interplay of shadow and light. Code for automatically detecting and correcting hands in Stable Diffusion using models of hands, ControlNet, and inpainting. If you aren't using that GUI, the best option is to bring it into GIMP Fooocus-MRE v2. Below 0. Reply. If you use ComfyUI you can instead use the Ksampler Regarding the "switching" there's a problem right now with the 1. 5 LCM refiner sampler pass. So the website shows all the images SD was trained on and more. Key Takeaways. However, this also means that the beginning might be a bit rough ;) NSFW (Nude for example) is possible, but it's not yet recommended and can be prone to errors. 0-RC. All dreambooth models require a special keyword to condition the image generation but the traditional fine tuning (continue training with a narrow dataset) doesn't. It's not, it's just barely better. So they put some stuff with the . I've search but found nothing that seems to use Automatic1111. After an entire weekend reviewing the material, I think (I hope!) I got the implementation right: As the title says, I included ControlNet XL OpenPose and FaceDefiner models. 📷 All of the flexibility of Stable Diffusion: SDXL is primed for complex image design workflows that include generation for text or base image, inpainting . 0 Base vs Base+refiner comparison using different Samplers. SD 1. [Cross-Post] I feel the original one is better, high denoise refiner destroys the lighting consistency, especially the hands become flat and even changed the skin color in the third image. 5 version, losing most of the XL elements. face recognition API. img2img API with inpainting. Stable Diffusion 3 Medium is Stability AI’s most advanced text-to-image open model yet, comprising two billion parameters. 9 vae, along with the refiner model. Can I use a different CFG value for the refiner in Comfy? I'm currently using Forge, should I switch to Comfy or StableSwarm? 2. a close up of a woman with a butterfly on her head, a photorealistic painting, by Anna Dittmann Flexibility. I haven't played with Dreambooth myself so just going by other people's experience. So, I'm mostly getting really good results in automatic1111 Yes its human faces only, probably best prompting on your dogs photo using img2img or controlnet. 40 denoise using Zavy 's excellent ZavyChromaXL v7. 509K subscribers in the StableDiffusion ComfyUI with SDXL (Base+Refiner) + ControlNet XL OpenPose + FaceDefiner (2x) ComfyUI is hard. Like there's Embeddings, which there are quite a few Me too! realvisXL is awesome at photorealism. It is suitably sized to become the next standard in text-to-image models. example of the basic model of photo-realistic style, the model used in the refiner is the anime style. 0 base model and HiresFix x2. I downscale my SD pictures before using them in dalle-2, then do img2img again and work with cfg and init strength till they just retouch the dalle2 hands. To get it back, go to settings --> user interface and add it back. In summary, it's crucial to make valid comparisons when evaluating the SDXL with and without the refiner. The vae that was originally baked into SDXL created visual artifacts when it tried to do its "invisible watermarking". Use img2img to refine details. 0 and upscalers. Step two - upscale: Change the model from the SDXL base to the refiner and process the raw picture in img2img using the Ultimate SD upscale extension with the following settings: (same prompt) Steps: 30, Sampler: DPM++ 2M Karras, CFG scale: 7, Seed: 1799556987, Size: 2304x1792, Model hash: 7440042bbd, Model: sd_xl_refiner_1. I had to use clip interrogator on Replicate because it gives me errors when using it locally. If you're using Automatic's GUI there should be an option for full res inpainting so you can mask off the face and generate a new one using a prompt referencing the face and it will generate the face at the full resolution of the image and then scale it down to fit the mask. i dont understand what you need. I know there is the ComfyAnonymous workflow but it's lacking. Switch the timing point from 0. 8. Reply reply [deleted] High detail RAW color Photo of a strong man, hands in the face, urban city in the background, (full body view:1. From L to R, this is SDXL Base -- SDXL + Refiner -- Dreamshaper -- Dreamshaper + SDXL Refiner. Can take a while, on average I need two or the dalle2 inpainting prompts to get them fixed. I had the same idea of retraining it with the refiner model and then load the lora for the refiner model with the refiner-trained-lora. It depends on: what model you are using for the refiner (hint, you don't HAVE to use stabilities refiner model, you can use any model that is the same family as the base generation model - so for example a SD1. When SD tries to generate an image that is too different in size and aspect ratio from what it is trained on, you end up getting elongated or multiple features such as two heads, two torsos, and 4 legs. Setup. 9 and Stable Diffusion 1. It is not a reasonable approximation, it is the actual data it was trained on. SDXL vs DreamshaperXL Alpha, +/- Refiner. I will first try out the newest sd. Stable Diffusion creates images out of pure noise. , that is more conspicuous than the number of fingers RTX 3060 12GB VRAM, and 32GB system RAM here. 5. I'm using the recommended settings; Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0. A TON of budget of commercial shoots is location-based. In this post, you will learn how it works, how to use it, and some common use cases. Tried a bunch of images, and none of them had the hands detected…. The chart above evaluates user preference for SDXL (with and without refinement) over SDXL 0. Technically dreambooth is a also a fine tuning technique. Hires fix is still there, you just need to click to expand but face restore has indeed been removed from the main page. The soft inpainting feature is also handy, it tends to blend the seams very well on the inpainted area. Do not use the high res fix section (can select none, 0 steps in the high res section), go to the refiner section instead that will be new with all your other extensions (like control net or whatever other extensions you Using refiner with different settings. But they have different CFG values (because of the lightning). No Automatic1111 or ComfyUI node as of yet. Generate your images through automatic1111 as always and then, go to the SDXL Demo extension tab, turn on 'Refine' checkbox and drag your image onto the square. 5 model in highresfix with denoise set in the . I will see that when I click on the wrong model and used it instead of the base. 5 VAE) -> SD 1. 5 model. Question - Help. DreamshaperXL is really new so this is just for fun. Stable Diffusion is trained on a subset of those images, around 600 million of those, supposedly. I was really like stable Cascade mixed with a 1. At that moment, I was able to just download a zip, type something in webui, and then click generate. The control Net Softedge is used to preserve the elements and shape, you can also use Lineart) 3) Setup Animate Diff Refiner Hey, a lot of thanks for this! I had a pretty good face upscaling routine going for 1. The model doesn’t seem to work for anime images…. Award. 0. For now, I have to manually copy the right prompts. The title tells everything. 2. If you have powerful GPU and 32GB of RAM, plenty of disc space - install ComfyUI - snag the workflow - just an image that looks like this one that was made with Comfy - drop it in the UI - and write your prompt - but the setup is a bit involved - and things don't always go smoothly - you will need the toon model as well - Civitai/HuggingFace I can't get Outpainting to work in Stable Diffusion. 0 and some of the current available custom models on civitai with and without the refiner. 01 ~ 1, each increase of 0. Interesting, gonna try this tomorrow. As per the SD super stage event, the refiner is an optional second pass that can improve some generations. These comparisons are useless without knowing your workflow. Imagine if you can do your model photoshoot with your new watch, skin care product, or line of overprice handbags in a studio, and seamlessly put the model in the streets of Milan, on the beaches of the Maldives, or wherever else instagram and tiktok says your target demo wants UNet does precisely this, working on different levels of detail as it downscales and upscales. Medium is using the base workflow on the huggingface Using Refiner -> Base or just CrystalClearXL or other model from the start -> VAEDecode->VAEEncode (SD 1. Yep! I've tried and refiner degrades (or changes) the results. 30ish range and it fits her face lora to the image without Very nice. i came across the "Refiner extension" in the comments here described as "the correct way to use refiner with SDXL" but i am getting the exact same image between checking it on and off and generating the same image seed a few times as a test. This accuracy allows much more to be done to get the perfect image directly from text, even before using the more advanced features or fine-tuning that Stable Diffusion is famous for. I guess an important thing for the quality (when you mention without finetunes) is that this time, the base model is finetuned by Lykon, the number 1 model creator on civitai. Forcing Lora weights higher breaks the ability for generalising pose, costume, colors, settings etc. I have been using automatic1111, don't know much about comfyui. I was surprised by how nicely the SDXL Refiner can work even with Dreamshaper as long as you keep the steps really low. vd py da oq zq vt ot ju yi ps