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.
https://civarchive.com/models/1246353?modelVersionId=2211233
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～
Description
■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