[v3.1 is still in further testing. Updates regarding new findings will be updated in the "About this version" section]UrangDiffusion v3.1 (oo-raw-ng Diffusion) is the first UrangDiffusion version that utilize Animagine XL 4.0 as the base.The name “Urang” comes from Sundanese, meaning “We/Our/I.” The history behind the name is to make the model not only suitable for me but also for many people. Another reason is that I use many resources (training scripts, dataset collecting scripts, etc.) from other people. It’s unfair to claim this model as “my sole work.”Standard Prompting GuidelinesPrompting guide:Default negative prompt: lowres, bad anatomy, bad hands, text, error, missing finger, extra digits, fewer digits, cropped, worst quality, low quality, low score, bad score, average score, signature, watermark, username, blurryDefault configuration: Euler a with around 25-30 steps, CFG 5-7, and ENSD set to 31337. Sweet spot is around 28 steps and CFG 6.Training ConfigurationsFinetuned from: Animagine XL 4.0 Base (NOT 4.0-Zero)Finetuning:Dataset size: ~1,600 imagesGPU: 1xA100 80GBOptimizer: AdaFactorUnet Learning Rate: 1.25e-6Text Encoder Learning Rate: N/A (Turned off)Batch Size: 48Gradient Accumulation: 1Warmup steps: 5%Min SNR: 5Epoch: 15FAQQ: Images are sometimes noisy.A: This is a common issue with Animagine XL 4.0 models in general. The base model is trained with only 10 epochs, which lead to the model being undertrained. Unlike Initial N or Initial I model that are trained with more resources.Q: Hires fix model?A: Check out the cover image metadata, you'll find it there.Q: Initial N/Initial I is better.A: Just leave and do not use the model. Simple. No need to announce your departure. Except you're willing to leave a constructive feedback or willing to fund future projects.Special ThanksMy co-workers(?) at CagliostroLab for the insights and feedback.Nur Hikari and Vanilla Latte for quality control.Linaqruf, my tutor and role model in AI-generated images, and also the person behind tag ordering.LicenseUrangDiffusion v1.0-v2.5 falls under the Fair AI Public License 1.0-SD license, while v3.x falls under the CreativeML OpenRAIL++-M license.
