cascade_stage_c_anime_finetune■The descriptions for Dora and the checkpoints are provided within each tab. You’ll also find tips on training and inference, as well as uploaded workflows in each tab, so feel free to take a look if you’re interested.I would like to share the possibilities of cascade 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.Cascade generates visually appealing images similar to professional artwork and photography, with high expressive flexibility.I believe that this quality is not derived from the model’s parameter count or architecture but rather from more fundamental aspects, such as the creator’s aesthetic vision and the overall completeness of the model’s training.Their aesthetic is universal and never fades. There may be models with specifications superior to Cascade, but its artistry is unique—transcending mere specs—and continues to shine.Moreover, Cascade’s lightweight, flexible, single-TE architecture is close to my ideal, and its repository transparency is higher than that of major models. I have great respect for the developers’ efforts in providing such a wonderful model.Thanks to its efficient compression rate, the training burden is also reduced.Please be careful as sexual images are also generated.I also have some merged models for SD1.5 i2i, so feel free to use them as a reference. They come in three styles—anime, realistic, and Asian—so you can choose whichever you like.<a target="_blank" rel="ugc" href="https://civitai.com/models/1246353?modelVersionId=2211233">https://civitai.com/models/1246353?modelVersionId=2211233</a>Cascades have potential.My dream is to see more Cascade models. I'd love to see the models you've trained as well!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～

■I trained Dora on a dataset of 400,000 images.This one is intended for Cascade 3.6B.■Training Data (52.58 KB):It also includes a README with my inference workflow, OneTrainer training settings, and tips. Looking through it should give you a deeper understanding of Cascade.■This Dora is primarily designed to be applied to the Cascade 3.6B base model, but I believe it can also be used with models that have been fine-tuned by others.■The Dora has been trained at multiple resolutions: 768, 1024, 1280, and 1536px.Because of this, it allows for very flexible inference. In my workflow, it enables image generation at 3200×4800px.■Achieving this resolution was possible thanks to the extensions, models, and workflows created by ClownsharkBatwing. He is a dedicated explorer of Cascade, and without his work, I wouldn’t have been able to complete this training. I want to take this opportunity to express my gratitude.Of course, this Dora can also be used with the standard Cascade workflow without any extensions. However, I personally prefer ClownsharkBatwing’s approach, as I find it more intuitive.■Beyond that, there are many other contributors to Cascade. Thanks to their efforts, I am still able to continue experimenting with inference and training. I deeply appreciate everyone who has shared their remarkable results in exploring Cascade’s potential—such as sote, R35ON4NCE, ultrapixel, resonance_lite_r1, and others.■This Dora was trained on Danbooru tags.For inference, I recommend using tipo for automatic tag generation, as it tends to produce stable and high-quality results.Although character tags are included in the training, they were not heavily emphasized. So please consider it more like: popular characters may be possible to generate, but it’s not guaranteed.Pruned Model bf16 (6.2 GB):This is a DoRA backup from an intermediate stage. In some cases, the intermediate version might produce better results, so feel free to give it a try.Training Data (52.58 KB):Inference workflow, training settings, and tips

3.6B_anime_DoRA_v1.0

■This model is experimental and very difficult!Don't get too depressed if you don't get good results!Please download these two models.Pruned Model bf16 (1.92 GB):U-netPruned Model fp16 (1.41 GB): Text encoderPlease download the comfy ui workflow if you also need it.Training Data (2.19 KB):comfy ui workflow■I replaced it with the text encoder of Animagine-XL 3.1 and redid the fine tuning of u-net.I've become more acquainted with anime styles than before, and I think the recognition rate for tags has also improved.I don't know if the quality is better than before...But it's an interesting experiment, so I'd like to share it with you.■If you do not want a realistic image to appear, it will be improved by adding "blush" in the positive and "realistic" in the negative.However, from my experience, flat patterns often break down and the results are not very good.Cascade is not good at handling fingers and the human body, so it does not work as well as SDXL.Personally, I think it's better to generate 2.5D or realistic images to get the beautiful contrast and background of the cascade.I prefer to keep negative prompts to a minimum. I don't want to limit the possibilities of the model...■I haven't learned the quality tags or character tags, but I understand the text encoder, so it may be effective.Maybe there is a tag rule effect of anime 3.1...I try to put the quality tag at the beginning. ↓Positive prompt:masterpiece, best quality, very aesthetic, absurdes,Negative prompt:low quality, worst quality, normal quality,lowres,pattern,simple background,realistic,\__________________________________________________________Attention This model is very difficult!I trained using onetrainer. I'm training on a 768px dataset.Fine-tuning is performed on a 60,000-image dataset that mainly contains anime images, but also some realistic and AI images.There are cases where the look of something realistic or AI comes out strongly.It might be a good idea to add "realistic" to the negative prompt."blush" This tag may be effective as it forces an anime style.This is a very strong tag, so putting it near the beginning may be too strong.If you've created a prompt that you're happy with, but you want more variety and the look is too flat, remove it.My personal opinion is that negative prompts should be kept to a minimum for a high-quality base model. It would be a waste to limit the possibilities.On the other hand, it might be fun to try something other than anime.New discoveries are made in areas that were not originally intended.I think cascade_stage_c_lite falls into the high quality category as a base model and can generate most basic things.I can roughly understand that common tags are pre-learned.It's truly beautiful when done well!It would be interesting to generate various tags using something that can automatically generate tags.■There is no consistency in style.The quality is poor and there are no fixed settings or prompts.It has no advantage over existing models and has a narrower dataset.The advantage is that it is lightweight.Even though the resolution is high, details such as hands and other small parts are not generated well, which is a characteristic of the model and difficult to improve. It would be fun to consider other approaches such as cascading the composition and enhancing the details with i2i.■I am training with the danbooru tag.We are only learning general tags such as 1gril, and we are not training artist or anime work tags.A small number of tags will produce a disastrous result.The tags that are often used in danbooru and SD are the quality tags for this model.The order of tags is important. Every tag has a unique image.The more popular the tag, the better the quality may be, but the image will be reflected more strongly, so it is also effective to offset it with other tags or change the order to dilute it.If the effect is too strong, it might be a good idea to lower the weight."Looking at viewer","upper body","shiny skin"etc... can easily be of high quality.I'm training without adding the "nsfw" tag, but I feel like it's effective for some reason...■I've also added a simple comfyui workflow that I'm using for my generation.I am generating images between 1024-2048px.Many people have shared their workflows. I'm still in the exploration stage. I think I'll make new discoveries by trying out various settings.I find it difficult to generate details with cascade. It would be interesting to generate a rough composition with cascade and do i2i with other SD models!The advantage of stage_c_lite is that it is lightweight, so the workflow up to i2i will be less stressful. Me too. I'm enjoying the changes with i2i on my playground-v2-512px!Generate 1024x1536px with cascade, downscale by 0.75, then i2i at 768x1152 to generate the best of both worlds without the stress of speed.Ideal composition atmosphere + improved details such as eyesI would be happy if you could share the results of combinations with other models such as i2i!You can use it by simply changing stage_c of the existing workflow to this.I use "madebyollin/stage-a-ft-hq" for stageA when generating. It may reduce noise. I like this model.■It's an incomplete and very difficult model, but if you're interested, please give it a try.

v0.2

■Fine tuning by adding u-net+ text encoder.It's still difficult to create something sexual, but you can create it if you try hard.We also updated the ComfyUI workflow.Fixed the settings to reduce corruption, and placed nodes that can be merged with other c_lite models.This model is very difficult, so don't push yourself too hard!■ComfyUI workflow has also been updated.The settings have been updated to minimize failures.We also have a merge node for those who want to merge it with other c_lite models.Enjoy merging whether it's real or animated. If you like it, please share the image!Please let me know if you find a setting that reduces or stabilizes the crash!

cascade_lab