Prepare to unleash the true, unbridled power of Pony Diffusion V7 with this meticulously engineered ComfyUI Workflow, a masterpiece of node-based wizardry designed not just to generate images, but to breathe life into them! 🎨✨ This workflow is the ultimate fusion of Pony V7's incredible artistic understanding - renowned for its superior character, anime, and furry generation - and the hyper-efficient, non-destructive processing power of ComfyUI. We bypass the limitations of generic frontends to offer a customizable, lightning-fast pipeline that ensures every pixel is perfected from the first step to the final polish. It's a next-generation creative engine, transforming simple text prompts into breathtaking, high-fidelity art that retains the signature Pony aesthetic while reaching previously unattainable levels of detail and prompt adherence. Say goodbye to the frustrating "gacha" of generation and hello to reliable, high-quality output, where your creative vision is finally realized without compromise! 🚀🖼️
What truly sets this workflow apart is its integration of the powerful upscaling and refinement nodes from the ClownsharkBatwing/RES4LYF repository, turning simple drafts into magnificent, gallery-ready canvases. 🤯🔍 This isn't just a basic upscale; it’s a sophisticated, multi-stage restoration and enhancement process that meticulously addresses the common pitfalls of AI generation, guaranteeing impeccable quality even at massive resolutions. The workflow features cascaded passes of detail enhancement, utilizing advanced algorithms to fix those notorious AI flaws like distorted hands, murky faces, and inconsistent anatomy, ensuring your characters are flawless from their fingertips to their expressions. Moreover, by intelligently re-injecting detail back into the latent space during refinement, we maintain the delicate texture and shading consistency that Pony V7 is known for, preventing the overly smoothed or "plastic" look that plagues lesser upscaling methods. It is the definitive toolkit for demanding creators who require pristine resolution and hyper-detailed realism in a style-focused model. 🛠️🌟
This advanced architecture acts as a Master Key to unlocking the full spectrum of Pony V7’s revolutionary style control features, specifically its known style clusters like anime_1 and smooth_shading_48. 👑🔑 By providing the perfect, refined latent environment, the workflow amplifies the influence of these tags, granting you master-level control over your image's aesthetic right from the prompt. Whether you aim for the sharp lines and high contrast of a specific anime style, the soft, diffused look of a precise shading cluster, or a blend of multiple niche tags, this system ensures the stylistic tags you place in your prompt are interpreted and rendered with unparalleled fidelity. Forget struggling to coax a specific style out of your model; this workflow makes it effortless to jump between distinct artistic aesthetics, resulting in consistent, stylized, and utterly unique generations every time. Prepare to take full control of your creativity and experience the true potential of Pony V7! 🌈✨
Description
the initial version that creates way more better outputs than the official WF!!
FAQ
Comments (24)
where do we get the clip and vae model
https://huggingface.co/purplesmartai/pony-v7-base <--- this link is in the first sentence of the description of this WF ;)
@0l1v1aR0551 found it after I sent this message, thanks anyway though even with your wf and double time than normal samplers, it is really not good :( at least the q8 and original fp16 model almost identical but even than waste of space....
@xpnrt it is because I'm using exponential sampler res_2s, if you switch to linear/Euler or res_2m - the speed will be 2X faster, but the quality will be not as good
I'm really sorry but if the sample images are the best possible outputs then V7 just has no right to exist.
have you tried the raw V6?
if yes - then this is all far from "very bad" ;)
Реально. Хули ты ноешь, дитя малое? Для базовой модели выглядит очень неплохо. Я обязательно попробую эту модель завтра в fp8 формате. Надеюсь мне хватит 12 гигабайт видеопамяти.
@yuduz367 12Gb will be enough!
This'd be easier to read if you didn't use an LLM to add flashy fluff words and make the article less concise. My eyes just glaze over trying to pick out the relevant bits of marketing-sounding AI text.
"this" was written not for you but for Google ;)
Thx for the workflow, it works perfectly but slowly, I think we'll have to test various samplers and other things...
What is the purpose of node ConditioningDownsample ?
to limit tokens for some reason
Are there any interesting nodes I should be aware of that my dataset metadata reader might strugglebus with? -- wait ishould just borrow one of the images and try and parse it that way instead of trying to ask you a million questions -- Cause i honestly don't use ComfyUI XD i'm here to help SUPPORT y'all by making sure my app is up to. date :D
u should use comfy
@0l1v1aR0551 .....at this stage it's prettttty much a meme. LOL. I've seen the Json's of most of these hefty workflows - compared to what i'm used to on Forge/A111 -- look i know i'd get "MORE CONTROL" but the context of that is: I'd lose track of which nodes do what. -- Find me a decent illustriousXL workflow that i can use merging checkpoints with and use embeddings and prune stuff and shiznit -- and i'll try it -- BETTER YET -- i'll even try it on stream @traugdor90 probably might -- even make me a workflow if i ask him nicely XD he got to torment me christmas of 23' with a basic intro to comfy XD
@ktiseos_nyx Comfy is so far from meme
@0l1v1aR0551 No my point isn't the COMFY is a meme - its that my whole AI career is "USE THE NOODLE" -- my ADHD is likely to turn it into a nightmare but Quadmoon and i are planning a stream where he's going ot make a super node backwards workflow and confuse the shit out of me XD
Thanks for the workflow, I am thinking about any possibility to do IMG2IMG workflow, I have tried UMO, but it doesn't work.
you simply have to set denoise level to <1.0 in that sampler node and add as input your image ;)
@0l1v1aR0551 I set denoise level to <1.0 still not working. I tried 0.5 and 0.75. I guess it's about UMO only support Flux models.
@longat0704 but you do not need UMO for img2img
@0l1v1aR0551Hi, what exactly is umo?
@bborla12952 https://huggingface.co/bytedance-research/UMO
@0l1v1aR0551 thanks



















