■This is an experimental ground for Anima LoRAs.The LoRAs I create serve more of a role in stylistic tuning rather than reinforcing single concepts.There is no inherent superiority among the LoRAs; they simply serve different purposes. You can find the description for each LoRA in its respective tab.■If you notice pixel patterns in your generated images, try the VAE below. It removes the pixelation typical of the qwen_vae and makes the images much sharper.<a target="_blank" rel="ugc" href="https://civarchive.com/models/2718533/hdr-vae-anima-qwen-image">https://civarchive.com/models/2718533/hdr-vae-anima-qwen-image</a>■If the VAE looks a bit too saturated for your taste, try using this VAE merge node to blend it with the original qwen_vae to dial it in. A 0.5 merge should be just right.<a target="_blank" rel="ugc" href="https://civarchive.com/models/2487550/vae-merger-for-comfyui-anima">https://civarchive.com/models/2487550/vae-merger-for-comfyui-anima</a>■I would like to share the possibilities of anima with everyone.My wish is for many people to discover basemodels with potential and to see their possibilities unfold even further. I would be happy if I can help make that happen.■The anima architecture has been heavily modified and retrained from scratch—almost like a radical overhaul—but the base architecture is Cosmos-Predict2-2B. To put it simply, you could compare it to a lightweight version of Flux 1.I think it’s a great architecture capable of generating high-quality images despite its small size.I have a very good impression of Anima when it comes to color vibrancy, lighting, and prompt adherence.Its knowledge regarding NSFW concepts, characters, and styles is at least on par with SDXL. The overall feel of using it is also quite similar to SDXL.Furthermore, it is lightweight and easy to train. I believe large-scale training is also a viable option.Since we are provided with a base model that already contains a vast amount of knowledge, we rarely need to teach the model completely unknown concepts from scratch.Basically, our work mostly comes down to adjusting styles or reinforcing minor concepts and characters. You can achieve great results without having to do any heavy lifting.The developer has also ensured transparency by sharing the training settings, which means you are less likely to stumble over black-box issues.Because of this, the burden of training is low, making it an option well worth nurturing together as a community.■The LoRA has a stronger influence when used with shorter prompts.Since longer prompts often carry their own inherent style, the LoRA will primarily take on a supporting role to refine and unify the overall image.■<a target="_blank" rel="ugc" href="https://github.com/gazingstars123/Anima-Standalone-Trainer">https://github.com/gazingstars123/Anima-Standalone-Trainer</a>This is a great tool that allows for easy training, even on Windows. It has everything you need for LoRA training.Even if you run into any issues, you should be able to get your LoRA training up and running by troubleshooting with ChatGPT or Gemini.If you find the tool useful, you might want to consider making a donation to him. It allows the developer to focus more on development and deliver even better tools, which ultimately benefits you in the long run.■If you have any questions, please feel free to ask!日本語での質問も大丈夫ですのでご気軽にお声がけください～If you enjoy my work and feel like making a donation, I would be incredibly grateful. Even the smallest token of support goes a long way in helping me lighten the load.Whether I receive donations or not, I will keep doing what I love and pursuing my interests just as I always have. However, simply knowing that this kind of support exists brings me immense joy and serves as a huge driving force for me.<a target="_blank" rel="ugc" href="https://ko-fi.com/meg481074">https://ko-fi.com/meg481074</a>

anima_lora_lab

■This is a cute, cel anime-style LoRA. It was trained on a carefully curated dataset of 19,000 images from various classic cel anime titles.■Style Tendencies The overall style leans towards a "pop" aesthetic with large eyes. The tone is generally clear and bright, but it rarely becomes overly vivid like modern digital anime. Instead, you can easily achieve the calm colors and nostalgic atmosphere unique to traditional cel anime.■Trigger Tags &amp; Dataset Info Below are the anime titles used in the dataset. These names are also trained as style trigger tags, and the tag names are based on existing series tags on Danbooru. I've included brief notes on the style tendencies of each dataset. Please treat these as a general reference—they might not apply perfectly during every inference, but they serve as a useful guide. Some series naturally have a simpler overall style. If you want to generate images with more detail or dense information, I highly recommend using the tags for titles where I specifically praise the backgrounds. Or you might want to search the series names to get a sense of the overall vibe. I’ve also included the dataset resolutions for each title.Many of the "cute style" anime series were never released on Blu-ray, which limited what I could source, so some of the datasets rely on DVD-quality footage.You don't need to worry about this during inference, as I trained the model to ensure it doesn't negatively impact the output, but it can serve as a baseline indicator of the source quality. (BD sources were trained at 1024px, and DVD sources at 768px.)Please note that a lower resolution does not mean the anime itself is of low quality! Every single one of these shows features exceptionally high-quality animation that truly stood out in its era. ■taglist gunsmith cats [1024px] - An exquisite balance of a cute style and a hardboiled, calm tone. aozora shoujotai [768px] - Fantastic overall. Great backgrounds, lighting, fighter jets, and cute characters. taiho shichauzo (OVA + Movie) [1024px] - Convincing backgrounds, mechanical details, and stunning lighting. tenkuu no escaflowne (Movie) [1024px] - A bit quirky but highly artistic; the pinnacle of high-standard cel anime. cardcaptor sakura [1024px] - Achieves both a cute style and a calm tone with wonderful lighting. x (manga) (Movie) [1024px] - A fantastic work that perfectly blends the CLAMP style with a dark atmosphere. trigun (TV) [768px] - Amazing lighting and backgrounds that really make you feel the temperature and textures. di gi charat [768px] - The origin of otaku culture's "cute" style. Backgrounds are simple. slayers (OVA + Movie) [1024px] - The highly representative 90s style. detatoko princess [768px] - Similar lineage to Slayers. Great atmosphere and lighting. jungle de ikou [1024px] - Similar lineage to Slayers. Good backgrounds and a wide variety of character body types. hikyou tanken fam &amp; ihrie [768px] - Similar lineage to Slayers. A classic, orthodox fantasy style. A highly well-balanced style with very few quirks. dirty pair (Dirty Pair Flash OVA) [1024px] - A great mix of a cute style with mature body proportions. fatal fury (Movie) [1024px] - An exaggerated, quirky take on the 90s style. idol project [768px] - Also features an exaggerated, quirky 90s style. plastic little [768px] - The footage is older, but the core quality is wonderful, featuring great characters and backgrounds. sailor moon [1024px] - On a different wavelength from the others (more pop and colorful), but the composition and atmosphere are excellent. A certain sense of formal beauty and refined art. rurouni kenshin (Movie version, not the OVA) [1024px] - Beautiful depictions of Japanese scenery. Characters have cute, classic 90s large eyes. neon genesis evangelion (Death (True)² + EOE) [1024px] - The characters' eyes might be slightly smaller compared to the others.

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