π‘:Flux Models π’:SD 3.5 Models π΅:SD XL Models π£:SD 1.5 Models π΄:Expired Models
π‘STOIQO NewReality is a cutting-edge model designed to generate photographic content. It empowers users to capture fine details in portraits, explore breathtaking landscapes, and bring mythical creatures to life with unparalleled variety and precision. This model is tailored for artists and creators who demand high-quality results, featuring dynamic light management and intricate textures, making it the ultimate tool for top-tier creative work.
Versions and Recommended Settings:

MAIN SAMPLER: dpmpp_2m+ sgm_uniform
CFG : 3+ | STEPS: 30+
(Recommended): CFG: 5 | STEPS: 40
Finally here is a first finetuning test on SD3.5 for NewReality. As always the first goal of the Alpha version is to give a focus to the photographic aspect and textures by expanding the range of subjects that it can reproduce. Future finetuning will focus more on individual components and details.
The Main Download (Full 26GB) is the AIO version with t5xxl_fp16, clip_l, clip_g and VAE already included.
In the file section of the sidebar you can instead find the Secondary Download (Pruned 16GB) of the version containing only the Model, so you can use it accompanied by the clips of your choice, depending on whether you prefer the fp8, the fp16 or want to experiment with new clip_l or t5.

MAIN SAMPLER: Euler+ Beta
GUIDANCE (In Forge:'Distilled CFG Scale'): 2+ | STEPS: 15+
(Recommended): GUIDANCE: 2.5 | STEPS: 25
NewReality FLUX.1 Dev has reached its Alpha version, but I'm still in an experimental phase with the Flux component. Working on the Unet architecture has proven to be more time-consuming and challenging than initially expected. As a result, I will release smaller, more frequent updates during this initial period to gather valuable feedback. Iβm fully aware of the existing issues within the model, and your input will be instrumental in addressing and refining them.
The Main Download (Full 11GB) is the version containing only the Unet, so you can use it accompanied by the clips of your choice, depending on whether you prefer the fp8, the fp16 or want to experiment with new clip_l or t5.
In the file section of the sidebar you can instead find the Secondary Download (Pruned 20GB) of the AIO version with t5xxl_fp16, clip_l and VAE already included.
ATTENTION: The Full/Pruned nomenclature is just to be able to keep the Unet as the main download. All the others change with the AIO as the main. The two models are composed as mentioned above.
Refiner is Unnecessary and Clip and VAE are Included
MAIN SAMPLER: dpmpp_sde + Karras
CFG: 2+ | STEPS: 15+
(Recommended): CFG: 4 | STEPS: 30
NewReality XL PRO is a fine-tuned model designed with a specific focus on enhancing prompt adherence, earning it the name "PRO" (PRO-mpt). This version excels in managing lighting and image composition, offering a more refined and precise visual output based on the given instructions.
Refiner is Unnecessary and Clip and VAE are Included
MAIN SAMPLER: dpmpp_3m_sde + Exponential
CFG: 2+ | STEPS: 15+
(Recommended): CFG: 4 | STEPS: 20
Refiner is Unnecessary and Clip and VAE are Included
MAIN SAMPLER: dpmpp__sde + karras
CFG: 1+ | STEPS: 4+
(Recommended): CFG: 2 | STEPS: 4
Clip and VAE are Included
MAIN SAMPLER: dpmpp__sde + karras
CFG: 2+ | STEPS: 15+
(Recommended): CFG: 5 | STEPS: 25
Credits:
NewReality is the result of countless hours of work, involving several hundred iterations through training, merging of models and LoRA (Low-Rank Adaptation), fine-tuning specific blocks or captions, as well as performing additive and subtractive merges. Due to the complexity of this process, it is difficult to provide a precise, step-by-step account of every decision and experiment. However, each phase has played a significant role in shaping the final product, whether by direct influence or through valuable lessons learned along the way.
Given the intricacies and challenges involved, I want to extend my heartfelt gratitude to the creators of the models that have contributed to this journey, either directly or indirectly. Regardless of whether they were incorporated into the final iteration, their work provided inspiration, insight, and progress throughout the project.
To all the creators whose models supported this endeavor, I extend my deepest thanks. I encourage everyone to explore and support their work, as it deserves recognition for the incredible value it brings to the community.
EauDeNoire humblemikey socalguitarist ZyloO xlabs_ai aramintastudio Seeker70 Ai_Art_Vision PromptoAI alvdansen aip0pp SG_161222
WORK IN PROGRESS...
Description
FAQ
Comments (14)
really good checkpoint kinda hard on "people loras" tho
HOW SOON?
β1.2
info coming soon...
β1.1
info coming soon...
β1.0
info coming soon...
βNSFW
info coming soon.
info: ... ... ... Aug 16/24
I'm new to sdxl, but this is just awesome.
Generated a few images and its now in my top 3! Good work!
Haha, can you tell me who the other two are?
JuggernautXL7
Colossus Project XL
Hi, how to get installed dpmpp_3m_sde_gpu on automtic 1111 and what is exponencial? thanks in Advance
3m_sde_gpu sampler and exponential scheduler are implemented in ComfyUI. In my experience Karras scheduler gives better quality but slower. As for 3m_sde_gpu I didn't confirm it is any better than dpm++ 2s Ancestral.
BUT if you really want to test it I can only suggest to install ComfyUI embedded extension into A1111 WebUI (don't remember how it is named and how exactly to install it). I believe you can google it and install. It should come with latest Comfy.
If Comfy extension will use some outdated ComfyUI, then I can suggest to replace Comfy folder of extension with latest Comfy content installed outside the A1111 web ui.
But this is pointless because you don't plan using the Comfy at all. Otherwise, why would you ask about A1111 support of 2m sde gpu ampler...
Hope my answer didn't help you at all... :D just joking
@homoludensΒ Automatic has 3M SDE Exponential with it. This person must be using a very very old build of Automatic1111.
Sticking to v11 for now. With v12 I get more weird eyes and anatomical errors, especially for full body portraits...
me too
i may have found the solution, i was using composition sizes like 512x768 but for sdxl youre supposed to use 1024x1024 or 832x1216 etc
Great model, seems versatile. One of my favorite sdxl checkpoints



















