<span style="background-color:rgb(26, 27, 30);color:rgb(193, 194, 197);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">■This is an experimental ground for krea2 LoRAs.■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>

krea2_lora_lab

■This is a style LoRA focused on the aesthetics of cool, retro anime.It was trained on a dataset of 18,000 carefully selected images from what can be considered masterpieces of traditional cel animation. You can find the list of the included works below.■This LoRA was trained at 1024px.I trained this using booru-style tag captions.The number of epochs and steps might seem low compared to the size of the dataset. However, since I trained it with a Rank of 64 and an effective batch size of 16, I believe the learning process actually progressed quite well.Interestingly, when looking at the comparison images, it seems like the model picked up a few unknown concepts in addition to the overall style, which might provide some unexpected benefits.■depending on your seed or prompt, the LoRA's style might feel too weak. If that happens, please try increasing the weight. You will likely find a good sweet spot somewhere around 1.1 to 1.5.or, Since Krea2 is already capable of reproducing high-quality cel styles on its own, applying this LoRA at a lower weight for a hybrid look is also a great option.■Versatility:Because the dataset includes a wide range of genres—such as Sci-Fi, traditional Japanese style, and fantasy—this LoRA is highly flexible and can adapt to almost any genre of image you want to generate.■Character Genders:Although I personally only generate 1girl images, this is not a female-only LoRA. Anime naturally features male characters, and about half of the dataset consists of men, so generating male characters shouldn't be an issue.■About the Files &amp; BackupsTo stabilize the style, this main LoRA is a merge of several different training steps.I am also sharing the unmerged backup LoRAs that were used as ingredients for this merge.■List of Works: (The trigger tag does not exist.)Cowboy_Bebop_movie&amp;TVghost_in_the_shellRurouni_Kenshin_OVAMemoriespatlabor_movie_1.2.3Vampire_Hunter_DThe_Vision_of_Escaflowne_movieX (CLAMP 1996) movieMillennium_ActressGUNDAM_The 08th MS Team_OVAGUNDAM_0083: Stardust Memory_OVAGUNDAM_W Endless Waltz_movie■A Personal Note on the AnimeI truly believe the titles in this list represent the absolute pinnacle of traditional cel animation. The artwork in every single one is on par with fine art, and seeing it brought to life with such stunning animation is a truly rich visual experience. They are all fantastic masterpieces absolutely worth your time, so I highly recommend checking them out if you ever get the chance.

Files with SHA256: 04f35dedd322f030ad46558409996f2475ee34369e7aa86036df92f9467833b7