Oldjourney is a finetuned Stable Diffusion 2.1 model trained on images from Midjourney 3 using Dreambooth. That older version of Midjourney was often messy and imprecise, but had a great artistic style. These two versions of Oldjourney can recreate the essence of that art style with added details, precision, and quality.The two models, Oldjourney Ultra and Oldjourney Lite, are very similar, but they have different strengths. Ultra is better at people, while Lite is better at painterly style images.Use the keyword Oldjourney to trigger the style, and set the resolution to 768 x 768 or greater. Examples and sample prompts below.This is a model for Stable Diffusion 2.1, so make sure to download the yaml files.

Oldjourney

oldjourney_Ultra.yaml

oldjourney_Ultra.ckpt

oldjourney_Ultra.safetensors

Oldjourney Ultra

Oldjourney Lite

After much tweaking and tuning, I now have a version of my model that I am content with releasing publicaly. This, is PRIMEVAL NOVA V2.While not good at realism or photo like images, it instead is able to capture abstract ideas and concepts from prompts and make them into imaginitive scenes. I use it mostly to help inspire new ideas, concepts, and so on as a basis for larger projects.I can't give a exact epoch or steps for training, since it went through so MANY diferent finetunes layerd on top of one another. Just know it's a mangled mess of images and fun.This model works best without over tuned prompts, giving it freedom to fly. For negatives, avoid generic negative lists and instead only use what really is opposing of your idea. Making a hellish scene? write "angellic, peaceful" as the negative. It's with simple nudges I find this model shines.This model needs no VAE, as it is built in. I also suggest playing around with the sampler methods when generating images, as each one has it's own strengths and weaknesses.

Primeval Nova V2

primevalNovaV2_primevalNovaV2.yaml

primevalNovaV2_primevalNovaV2.safetensors

primevalNovaV2_primevalNovaV2.ckpt

Introduction: Mangled Merge V3 has been a labor of love side project for some time. I finally feel it's strong enough for a new iteration. It is great with 2D anime style AND realistic images. It also brings a lot of style with it. Usage: Mangled Merge V3 has a custom VAE built in to control contrast and brightness in order to handle both 2D and realistic styles. It is strongly recommended to keep the VAE set to automatic. As far as CFG settings, 7 is the sweet spot, but you can explore between 4 and 10. Self Attention Guidance is recommended, but on a scale between .1 and .3. Anything more can give it too much detail. Hands and faces can still be an issue from far distances. I suggest adding [:highly detailed face, highly detailed eyes, highly detailed hands:.20] to help alleviate this. This model does much better with high res fix. Odd resolutions MAY give it some trouble without having it enabled. Mangled Merge V2 is a merge of CharHelper Fine Tuned + Illuminati + RealismEngine. All keywords from CharHelper will work to help guide the model but are not needed. Note: this model does not contain any nudity to my knowledge however, there are monsters and creepy critters. <a target="_blank" rel="ugc" href="https://civarchive.com/models/13515/nfixer-for-illuminati-diffusion-v11">nfixer</a> is nice too, but also not needed. CFG scale also plays nicely at 7 and above. Use Auto for the vae in settings. If you are using a vae based on a SDv1.5 model, you may not get the best results. Have fun! Source Models: <a target="_blank" rel="ugc" href="https://civarchive.com/models/1480/charhelper">CharHelper Fine Tuned</a> <a target="_blank" rel="ugc" href="https://civarchive.com/models/11193/illuminati-diffusion-v11">Illuminati Diffusion V1.1</a> <a target="_blank" rel="ugc" href="https://civarchive.com/models/17277/realism-engine">Realism Engine 1.0</a> Credits to: <a target="_blank" rel="ugc" href="https://civarchive.com/user/razzz">Razzz</a> <a target="_blank" rel="ugc" href="https://civarchive.com/user/IlluminatiAI">IlluminatiAI</a> -------------------------------------------------------------------- Introduction: Mangled Merge V1 is a merge of 11 different v2.x 768x768 models currently available. All keywords from these models will work to help guide the model but not as powerfully as the individual models they were merged from. However, this is counterbalanced by the amazing versatiliy the v2.1 model gains from merging them all together. Mangled Merge makes for a much improved, much needed general purpose model for anyone interested in using a v2.x model. And there is still room for improvement!Merged models include: Redshift, synthetic cmodel, conceptSheet_conceptSheetAlpha, CharHelperV4, classicNegative1521_classicNegative768px, clayitization-SD2.1-768px, cuteRichstyle21_cuteRichstyle, oldjourney_oldjourneyLite, primevalNovaV2_primevalNovaV2, vectorArt_pulpVectorBeta, and vectorArt_vectorArtBeta.All of the models merged together in Mangled Merge are all absolutely great on their own as well so try theirs out be sure to give them a like! All of their keywords have some effects on Mangled Merge but are somewhat toned down in comparison. If you want the keywords, you can find them on their model sheets.Use Auto for the vae in settings. If you are using a vae based on a SDv1.5 model, you may not get the best results. File Name is Mangled_Merge_V1.safetensors. Make sure to download the yaml file along with it or else it won't load for you. Keywords: cmodel, clayitization, cbzbb, Oldjourney, classicnegative, concept-art, redshift style, by vector-art, pulp-diffusion, CHV3CZombie, CHV3CAlien, CHV3CBird, CHV3CKnight, CHV3CWizard, CHV3CBarb, CHV3MTroll, CHV3MDeath, CHV3CRogue, CHV3CCyberpunk, CHV3CSamurai, CHV3CRobot, CHV3SLighthouse, CHV3SCute, CHV3SMacro, CHV3SWorld, CHV3SSciFi, CHV3MDragon, CHV3CVehicle, Source Models:<a target="_blank" rel="ugc" href="https://civarchive.com/?query=Redshift">Redshift</a> (Cinema4D-redshift-render style) keywords = "redshift style"<a target="_blank" rel="ugc" href="https://civarchive.com/models/2782/synthetic-cmodel">synthetic-cmodel</a> = comodel2 (glossy/cartoony humanoids, "studio-light" seems implied) keyword="cmodel"<a target="_blank" rel="ugc" href="https://civarchive.com/models/4897/concept-sheet">concept-sheet</a> (book-ilustrations, can do dragons quite well, except for overall anatomy) keywords="concept-art"<a target="_blank" rel="ugc" href="https://civarchive.com/models/1480/charhelper-sd-2x-768">charhelper</a> (individual-specific) keywords= too many keywords to list HERE, highly specific<a target="_blank" rel="ugc" href="https://civarchive.com/?query=classic%20Negative">classic Negative</a> (photography-style of dreambooth-set) keywords="classicnegative"<a target="_blank" rel="ugc" href="https://civarchive.com/models/1538/jaks-clayitization-image-pack">jaks-clayitization-image-pack</a> (claymation) , keywords="clayitization"<a target="_blank" rel="ugc" href="https://civarchive.com/?query=cute%20Richstyle">cute Richstyle</a> (high-contrast BOBBLE-HEADED people/animals , cg-stilized-anatomy mostly) keywords=" cbzbb, cbzbb style, cbzbb style of _____ "<a target="_blank" rel="ugc" href="https://civarchive.com/?query=oldjourney">oldjourney</a> ( Midjourney 3 using Dreambooth) keyword="Oldjourney"<a target="_blank" rel="ugc" href="https://civarchive.com/?query=primeval%20Nova">primeval Nova</a> (abstract art, bad for realism)<a target="_blank" rel="ugc" href="https://civarchive.com/models/4618/vector-art">vector-art + VectorPulpBeta</a> (lots of contour-lines, not necessarily cell-shaded, FLASH-cartoon styles and icons) keyword="by vector-art" Credits to <a target="_blank" rel="ugc" href="https://civarchive.com/user/hobolyra">hobolyra</a>, <a target="_blank" rel="ugc" href="https://huggingface.co/nitrosocke">Nitrosocke, </a><a target="_blank" rel="ugc" href="https://civarchive.com/user/jinofcoolnes">jinofcoolnes, </a><a target="_blank" rel="ugc" href="https://civarchive.com/user/pmejna">pmejna, </a><a target="_blank" rel="ugc" href="https://civarchive.com/user/BudFactory">BudFactory, </a><a target="_blank" rel="ugc" href="https://civarchive.com/user/plasm0">plasm0, </a><a target="_blank" rel="ugc" href="https://civarchive.com/user/RICHVIP">RICHVIP</a>, and <a target="_blank" rel="ugc" href="https://civarchive.com/user/starwingdigital">starwingdigital</a> for making awesome models to merge with and for allowing their models to be merged and shared. Also to <a target="_blank" rel="ugc" href="https://www.reddit.com/user/stablediffusioner/">stablediffusioner</a> for putting most of this info sheet together.

Mangled Merge

mangledMerge_v1.yaml

mangledMerge_v1.safetensors

<h2>Introduction:</h2>CharHelper_Fine_Tuned_V2 has been trained with SD 2.1 as a base at 768x768 resolution as an update to the previous version. It has additional training on anthropomorphism, dinosaurs, reptiles, animals, aquatic creatures, ninjas, wrestlers, food, diners, gardens, and fairgrounds.Disclaimer: Some of the sample images used the Dynamic Thresholding and/or Unprompted Extensions. Civitai did not have a place for it with their template so for more info, check the model card on HuggingFace.<h2>Usage:</h2>The CFG Scale is much less sensitive in this version and can achieve good results between 4 and 9.I recommend using the <a target="_blank" rel="ugc" href="https://github.com/mcmonkeyprojects/sd-dynamic-thresholding">Dynamic Thresholding Extension</a> for this model. It becomes much more coherent when it is enabled with the following settings:<img src="https://imagecache.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2c050094-dd0d-4c58-f2ab-ea33f3e22e00/width=525/2c050094-dd0d-4c58-f2ab-ea33f3e22e00.jpeg" />This model also can benefit from the <a target="_blank" rel="ugc" href="https://github.com/ThereforeGames/unprompted">Unprompted Extension's</a> zoom_enhance tool as it likes to output longer range images.Use Auto for the vae in settings. If you are using a vae based on a SDv1.5 model, you may not get the best results.Prompts work better when using complete sentences vs the SDv1.x "8k, intricate, etc." type of format.Keywords are not necessary but I've kept the options for them open. Play around with mixing them up for interesting outputs. They work best with the <a target="_blank" rel="ugc" href="https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#prompt-editing">Prompt Editing Feature</a> which let's the generation focus on the keywords for the first 20% and then can be removed before the image gets too chaotic or vice versa. Using Prompt Editing for artist names as well has had good results.Keywords:Character Styles: CHV3CWrestler, CHV3CReptile, CHV3CAnimal, CHV3CNinja, CHV3CAnthro, CHV3CDino, CHV3CFoodPorn, CHV3CDeepSea, CHV3CBigChief, CHV3CBoxer, CHV3CUrban, CHV3COrc, CHV3CGanesh, CHV3CGolem,CHV3CCyberpunk, CHV3CSamurai, CHV3CRobot, CHV3CZombie, CHV3CBird, CHV3MDragon, CHV3CKnight, CHV3CWizard, CHV3CBarb, CHV3CVehicle, CHV3CTroll, CHV3CReaper, CHV3CRogue, CHV3CAlienScenery/Styles: CHV3SDiner, CHV3SGarden, CHV3SFair, CHV3SUrban, CHV3SEldritch, CHV3SLighthouse, CHV3SCute, CHV3SMacro, CHV3SSciFi, CHV3SWorld Fine-Tuned V1: Introduction:This model was trained from the ground up using Stable Tuner's fine-tuning method and utilizing contrast fix for darker darks and bolder colors. The Dataset contains 4900 images trained to 35 epochs.File Name is CharHelper Fine-Tuned.safetensors. Do not forget to download the yaml file and place it in the same directory.Usage:Because of the nature of the fine-tuning method, this model is sensitive with the CFG Scale. Photorealism tends to like a LOW CFG Scale. Best result can be found between 3 and 7. Some subjects that are complex like robots like a higher dfg, while photorealism is mostly achieved with a CFG Scale of 3 or 4.Use Auto for the vae in settings. If you are using a vae based on a SDv1.5 model, you may not get the best results.CharHelper Fined-Tuned was trained all at once which means the keywords all have more power to them than the previous CharHelper models. CharHelper Fine-Tuned doesn't need keywords but includes them and they can be mixed and matched together in order to acheive a multitude of different styles. Some Keywords were changed slightly from the last version.Keywords:Character Styles: CHV3CBigChief, CHV3CBoxer, CHV3CUrban, CHV3COrc, CHV3CGanesh, CHV3CGolem,CHV3CCyberpunk, CHV3CSamurai, CHV3CRobot, CHV3CZombie, CHV3CBird, CHV3MDragon, CHV3CKnight, CHV3CWizard, CHV3CBarb, CHV3CVehicle, CHV3CTroll, CHV3CReaper, CHV3CRogue, CHV3CAlienScenery/Styles: CHV3SDark, CHV3SUrban, CHV3SEldritch, CHV3SLighthouse, CHV3SCute, CHV3SMacro, CHV3SSciFi, CHV3SWorld V4: File Name is CharHelperV4.safetensorsCharHelper V4 is a merge of CharHelper V3 and a newly trained model. This update is to provide a base for future updates. All older keywords from CharHelper V3 will still work.Training subjects on this model are Aliens, Zombies, Birds, Cute styling, Lighthouses, and Macro Photography. Mix and match the styles and keywords to push the model further.<h2>Usage</h2>Use Auto for the vae in settings. If you are using a vae based on a SDv1.5 model, you may not get the best results.This model has multiple keywords that can be mixed and matched together in order to acheive a multitude of different styles. However, keywords aren't necessarily needed but can help with styling.Keywords:Character Styles: CHV3CZombie, CHV3CAlien, CHV3CBirdScenery/Styles: CHV3SLighthouse, CHV3SCute, CHV3SMacro V3:File Name is CharHelperV3.ckptCompletely retrained from the begining in a fundamentally different process from CharHelper V1 and 2. This new model is much more diverse in range and can output some amazing results.It was trained on multiple subjects and styles including buildings, vehicles, and landscapes as well.Usage:Use Auto for the vae in settings. If you are using a vae based on a SDv1.5 model, you may not get the best results.This model has multiple keywords that can be mixed and matched together in order to acheive a multitude of different styles. However, keywords aren't necessarily needed but can help with styling.Keywords:Character Styles: CHV3CKnight, CHV3CWizard, CHV3CBarb, CHV3MTroll, CHV3MDeath, CHV3CRogue, CHV3CCyberpunk, CHV3CSamurai, CHV3CRobotScenery/Landscapes: CHV3SWorld, CHV3SSciFiWIPs (needs fine-tuning, but try it out): CHV3MDragon, CHV3CVehicleExample Prompt: Mix &amp; Match "CHV3CCyberpunk.grim reaper"A realistic detail of a mid-range, full-torso, waist-up character portrait of a (CHV3CCyberpunk.grim reaper) costume with beautiful artistic scenery in the background, trending on artstation, 8k, hyper detailed, artstation, concept art, hyper realism, ultra-real, digital painting, cinematic, art award, highly detailed, attractive face, professional hands, professional anatomy, (2 arms, 2 hands) Negative prompt: NegLowRes-2400, NegMutation-500, amateur, ((extra limbs)), ((extra barrel)), ((b&amp;w)), ((close-up)), (((duplicate))), ((mutilated)), extra fingers, mutated hands, (((deformed))), blurry, (((bad proportions))), ((extra limbs)), cloned face, out of frame, extra limbs, gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck))), (tripod), (tube), ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, mutation, mutated, extra limbs, extra legs, extra arms, disfigured, deformed, cross-eye, body out of frame, blurry, bad art, bad anatomy, (umbrella), weapon, sword, dagger, katana, cropped head Steps: 10, Sampler: DPM++ SDE Karras, CFG scale: 9, Seed: 1840075390, Size: 768x896, Model hash: cba4df56, ENSD: 3 V2:Trained for an additional 5000 steps. Result will be much more stable and major improvement over V1. Don't forget to add the yaml file into your models directory.V2 checkpoint filename is CharHelper_v2_ SDv2_1_768_step_8500.ckptUsage:This model tends to like the higher CFG scale range. 7-15 will bring good results. Images come out well if they are 756X756 resolution size and up.A good prompt to start with is:(a cyberpunk rogue), charhelper, ((close up)) portrait, digital painting, artwork by leonardo davinci, high detail, professional, masterpiece, anime, stylized, face, facial expression, inkpunk, professional anatomy, professional hands, anatomically correct, colorfulNegative: ((bad hands)), disfigured, distorted face, mutated, malformed, bad anatomy, mutated feet, bad feet, poorly drawn, ((odd proportions)), noise, blur, missing fingers, missing limbs, long torso, ((ugly)), text, logo, over-exposed, over-saturated, ((bad anatomy)), over-exposed, ((over-saturated)), (((weapon))), long neck, black &amp; white, ((glowing eyes))Just substitute what's in the begining parenthesis with your subject. You can also substitute "((close up))" with "((mid range))" as well. These worked best for me, but I'm excited to see what everyone else can do with it.

CharHelper Fine-Tuned V2

Introduction:CharHelper_Fine_Tuned_V2 has been trained with SD 2.1 as a base at 768x768 resolution as an update to the previous version. It has additional training on anthropomorphism, dinosaurs, reptiles, animals, aquatic creatures, ninjas, wrestlers, food, diners, gardens, and fairgrounds. Disclaimer: Some of the sample images used the Dynamic Thresholding and/or Unprompted Extensions. Civitai did not have a place for it with their template so for more info, check the model card on HuggingFace.Usage:The CFG Scale is much less sensitive in this version and can achieve good results between 4 and 9.I recommend using the <a target="_blank" rel="ugc" href="https://github.com/mcmonkeyprojects/sd-dynamic-thresholding">Dynamic Thresholding Extension</a> for this model. It becomes much more coherent when it is enabled with the settings found in the main model card.This model also can benefit from the <a target="_blank" rel="ugc" href="https://github.com/ThereforeGames/unprompted">Unprompted Extension's</a> zoom_enhance tool as it likes to output longer range images.Use Auto for the vae in settings. If you are using a vae based on a SDv1.5 model, you may not get the best results.Prompts work better when using complete sentences vs the SDv1.x "8k, intricate, etc." type of format.Keywords are not necessary but I've kept the options for them open. Play around with mixing them up for interesting outputs. They work best with the <a target="_blank" rel="ugc" href="https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#prompt-editing">Prompt Editing Feature</a> which let's the generation focus on the keywords for the first 20% and then can be removed before the image gets too chaotic or vice versa. Using Prompt Editing for artist names as well has had good results.Keywords:Character Styles: CHV3CWrestler, CHV3CReptile, CHV3CAnimal, CHV3CNinja, CHV3CAnthro, CHV3CDino, CHV3CFoodPorn, CHV3CDeepSea, CHV3CBigChief, CHV3CBoxer, CHV3CUrban, CHV3COrc, CHV3CGanesh, CHV3CGolem,CHV3CCyberpunk, CHV3CSamurai, CHV3CRobot, CHV3CZombie, CHV3CBird, CHV3MDragon, CHV3CKnight, CHV3CWizard, CHV3CBarb, CHV3CVehicle, CHV3CTroll, CHV3CReaper, CHV3CRogue, CHV3CAlienScenery/Styles: CHV3SDiner, CHV3SGarden, CHV3SFair, CHV3SUrban, CHV3SEldritch, CHV3SLighthouse, CHV3SCute, CHV3SMacro, CHV3SSciFi, CHV3SWorld

charhelperFineTuned_fineTunedV2.safetensors

charhelperFineTuned_fineTunedV2.ckpt

charhelperFineTuned_fineTunedV2.yaml

Fine-Tuned V2

Fine-Tuned V1

CharHelper V4

CharHelper V3

CharHelper V2

02 Feb 2023Classic Negative (SD 2.1 768px v0.2)I finally managed to train an improved version of my original Classic Negative Model for SD 2.1 768.The improvements mostly come from better and more accurate captions, as well as a more diverse dataset. I also used some pictures generated with the original version for the training.I attached a few comparisons between the default 2.1 model, v0.1 and v0.2 I used for evaluating if it actually improved. Compared to the default model, it offers vastly improved lighting, a more pleasing color palette, better depth of field and composition. Compared to v0.1, it improves further on a smooth depth of field fall of and creates slightly more realistic images. The colors are also more in line with what I originally intended.15 Jan 2023- Update -After several failed attempts, I finally managed to train a usable 2.1 version on the same dataset I used for my 1.5 Classic Negative model. I wish I could show you a more diverse set of pictures, but I'm busy creating one cute animal after the other.<ul><li>for 2:3 aspect ratio images, 1152x768px works really well</li><li>for 21:9 aspect ratio images, 1344x576px works really well</li></ul>Make sure to place the config file into the same folder as the model and make sure they are named exactly the same.13 Jan 2023- Original Post -I'll preface this by saying that I have no idea what I'm doing. Also, this is by no means a complete or perfect model. But after many tries I'm at a point where I'm happy with sharing some pictures and an early version for you to try out.Classic Negative (SD 1.5)With Classic Negative I tried to train a model with DreamBooth which closely mimics my style of photography. Its name comes from a built in camera profile in Fujifilm cameras, "Classic Negative". I use a modified version of this profile in basically all of my photos. To mimic my style, the model must achieve the following:<ul><li>recreate the color profile of classic negative: muted and desaturated greens</li><li>introduce faded blacks and diffused highlights (like a Tiffen Glimmerglass Filter would do)</li><li>reliably create a nice depth of field effect like you would get with large aperture lenses</li><li>improve the composition of the default model (foreground and background objects, framing, point of view)</li><li>improve the lighting of the default model</li><li>add grain and preferably a slight vignetting</li><li>try to recreate the look and feel of old 35mm film photos</li></ul>TrainingFor training I used 100 of my personal images, consisting mainly of environmental portraits and photos of my dog, some macro and some landscape shots. The model is probably biased towards forests and garden pictures, since that's where I took the majority of my photos. It seems to be on the verge of being overfitted, in some generated pictures I could clearly make out the general structure of my backyard.The captions were written manually for all of the photos. Nothing too complicated, here's an example: <a target="_blank" rel="ugc" href="https://i.imgur.com/prf8VxS.png">https://i.imgur.com/prf8VxS.png</a>I trained for 1800 steps with a learning rate of 1e-5 and 350 text encoder steps using TheLastBen's Fast DreamBooth ipynb.Prompts &amp; ParametersThe prompts I tried so far are very simple. The activation token is classicnegative- classicnegative photo of a cute raccoon sitting between bushes in a garden, purple tulip flowers- classicnegative photo of a cute small red panda sitting on a branch in the jungle- classicnegative photo of a white fluffy rabbit standing in a garden illuminated by fairy lights, winter, heavy snow, snowflakesParameters: Euler A, CFG Scale 7, 30 Steps, 860x360pxI then went seed hunting. Although in a batch of 4 there was at least one usable picture so far. If a good picture was generated, I set the same seed and ran it again with Hires. fix enabled (which takes like 3,5 minutes with my GTX 1070 for one picture).Hires. fix Parameters: ESRGAN_4x, 30 Steps, 0.3 Denoising, Upscale by 2I discovered this by accident, but using these settings the picture stays exactly the same and all the film photo characteristics like the grain won't get lost during upscaling.If the effect of the model is too strong, try adding tokens like sharp focus, high contrast, clarity to your prompt. Or just increase the contrast in post. But yes, sometimes it becomes a bit too much, I'll have to take a look into it for a future revision.What's next<ul><li>more testing is needed, different parameters and subjects</li><li>create a SD2.1 768px version</li><li>finetuning</li></ul>Please feel free to try the model out, test its limitations and if you have any advice on how I can create a better version of it, please let me know ;)

Classic Negative (SD 2.1 768px)

initial upload of the 2.1 768px version

classicNegativeSD21_classicNegative768px.ckpt

classicNegativeSD21_classicNegative768px.yaml

Classic Negative 768px v0.1

Classic Negative 768px v0.2

oldjourney_Lite.safetensors

oldjourney_Lite.ckpt

oldjourney_Lite.yaml

Model Trained to create a Midjourney architecture buildings style. Prompts example: "a photo of a futuristic house with a organic facade, roots, waves, many windows, by midjourneyi""a photo of a parametric building midjourneyi, waves, roots, veins, many windows, in a street."Important: add negative prompts to improve the results.

Files with SHA256: 37c3ec0c8ceff07a7bf016a02bebfcaf503d4988a3f4b993cca0eb970f9ed859