--preview3
I'm also sharing a new experimental version of UltraReal FineTune Anima, this time trained on Anima_preview3.
This version was made because several people asked for a preview3-based release. In some cases it can produce better results than the preview1 version, especially depending on the prompt, but in other cases preview1 may still look better or behave more consistently.
So I don't really consider this a strict upgrade — it's more like an alternative version. Try both and use whichever one works better for your workflow and your prompts.
Model Features:
Based on Anima_preview3
Trained in the same way as preview1 release
Still highly prompt-sensitive
Some improvements in certain styles and generations
Some possible regressions compared to the preview1 version
Still Experimental / WIP
Special thanks to the Reddit donor who supported the project — your donation was one of the reasons I decided to retrain this for preview3 as well.
P.S.: in my flow i use custom sampler and scheduler, u can take it here https://github.com/WASasquatch/RES4SHO
--preview1
Hey everyone. I'm sharing my new experimental full finetune of the Anima_Preview1.
For this version, I collected a completely new dataset from scratch - it's entirely different from the one I used for my Flux.1 finetune.
Model Features:
🎛️ Highly Prompt-Sensitive: The stylistic range is quite diverse, but the final output relies heavily on your specific prompting.
📸 Analog & Digital Aesthetics: It can produce a wide variety of looks, from distinct analog grain to "high-quality" digital photos (well, as high-quality as it gets for a 1MP retro resolution).
⚡ Optimized: I've included Q8 and Q6_K_M quants for easier inference.
Honestly, I really love the image quality you can squeeze out of such a small model. However, this is still very much a WIP (Work in Progress).
I would love to hear your feedback and see your generations.
Also, NSFW capabilities weren't harmed
Description
FAQ
Comments (25)
Does this great checkpoint work with the official Anima turbo Lora?
were can i get and how install sampler:hfx_stochastic_s2 used in your preview images for ultrarealFineTune_v12AnimaPreview3,
google did not help
https://github.com/WASasquatch/RES4SHO
ffs, i just realized that i didn't link this repo in description
@Danrisi Thanks
Please continue your work on this. It will turn out insane
Thanx <3
I'll do my best, cause i love anima. My main model rn
@Danrisi Same it can produce some insane images
Thank you! Love this model already, anima really does have a bright future ahead.
Thanks for the P3 version! I think the biggest boon here is being able to use newer LoRAs. I've been testing all the Anima LoRAs and have definitely passed by a few that are pretty decent for realism/semi-realism.
While realism isn't my focus, I definitely get the appeal of a model that understands both tags and natural language while also adapting well to styles. I'm sure some people will say Anima isn't meant for realism but, while that's true for the base model, even the creator of Anima has trained (non-public) realism LoRAs.
I clicked on that shit faster than I read the (non-public) portion lol
This feels like Chroma with improvements sometimes. I don't really use all the anime styles, I don't really know them, but simply porting over my F2K and Chroma prompts have worked well. Impressive honestly, is almost a 1-1 replacement for Chroma in most cases.
Edit: Okay after some more "hardcore" cases, it's not nearly as responsive. It misses some text, as well. I'd say it's closer to 0.8-1 replacement, that last 20% of hardcore nsfw understanding gets lost, but with it comes a better contextual understanding like Z-img brings. This sits in a weird place between Z-img and Chroma for me, maybe not directly replacing it, but more fun than the constant abominations or raw feeling in F2K.
1.2 works a lot better for me but still sometimes leans toward semi-3d/anime
Great job on this finetune and the loras, but I've got a couple of questions :
1) Are there recurring captioning words/phrases that would enhance the model's ability to steer away from anime/3d?
2) The negatives used are not booru tags nor natural language version of them. They remind SD 1.5 schizo prompting and they are also applied using weights which does absolutely nothing on clip-less models. Am I missing something?
3) What about the recommended prompting structure of the base model (masterpiece, best quality, score_7/ ye-pop -- worst quality, low quality, score_1, score_2, score_3, artist name)? Is there a reason why it is not used?
Hey, thanks for the feedback.
1) Absolutely. I rely heavily on photography-related terms to steer it away from 3D. Phrases like "analog film", "vintage digicam", "film grain", "amateur photo", and "phone camera" work wonders. Adding specific lighting descriptions (like "harsh flash" or "natural sunlight") also really helps push it toward realism. (using stuff like hasselblad 16k ultramsterpiece doesn't really helps)
2) You won't believe, but I just grabbed negative prompt from the most popular 1.5 model on civit. Surprisingly, it still seems to improve the results. Even if the weight syntax doesn't technically function the same way on this architecture, those specific negative tokens help suppress the plastic/3D look, especially in combination with my third point (at least i believe in it, maybe some natural language phrases helps even better)
3) The main reason I avoid the base model's recommended structure (score_8, masterpiece, etc.) is that those tags are deeply tied to its anime/3D training data. Triggering them acts like a magnet for that style — if you use them, it immediately pulls the generation away from realism and makes it look like anime or 3D again.
This has tons of potential. I'm using a lora extracted at rank 512 and performs as well as the previews on this page when using 'amateur photo' in the prompt and 'cartoon, anime' in the negative prompt.
I've seen on reddit you mentioned you trained this in pretty much just 1 day - that's impressive. Makes me wonder how good this could be if you trained at a lower LR for longer.
Also what do you think of using '@photo' (or something similar) as triggerword for 'style'? Since the style of the output is so heavily influenced by '@artist' tags - you could take advantage of that to make the model learn realism as a new style per-say. Again, also, maybe adding some anime images to the datasets and ensuring their captions contain 'anime' tag - could perhaps also help when using 'anime' in the negative prompt?
Really wish lodestones would try and finetune this model in a way that makes sense and does not break the model's characters knowledge because one big use case for this is to generate known anime characters in a realistic content akin to cosplay.
Anyways, you are awesome and so is this finetune. Thank you.
could you please share the lore
@Ceylon_Ai Sure: https://drive.google.com/file/d/1rXZD2rYymJyd5U75MsKkFTuMgL4rSJWS/view
It was done with the lora extract node from KJ nodes in comfyui
@Danrisi include nsfw real life images and this could easily be the best finetune before the full release of Anima
Already, but not too much. Next update will include a lot of this in dataset
@Danrisi And feets, lots of female feet and very feminine shemale, not your thing but I beg you, lets get rid of that ugly soles (see my post to know what im talking about). Do you want help with pics? I have everything from the natural look to the softest and most well-groomed look.
I just cant caption them I can use gemma4 26b it captions very well but it would take a long time and I would not dare using a smaller vision model than 26B to make the dataset bad with crap captions
It looks like the 'base model' is missing from the category. Regardless, the photorealism of the Anima model is impressive. Do you have any plans to strengthen Asian image datasets or develop a dedicated model for them later on?
+
Goal