--- license: other license_name: faipl license_link: https://freedevproject.org/faipl-1.0-sd language: - en tags: - text-to-image - stable-diffusion - safetensors - stable-diffusion-xl base_model: OnomaAIResearch/Illustrious-xl-early-release-v0 widget: - text: >- 1girl, green hair, sweater, looking at viewer, upper body, beanie, outdoors, night, turtleneck, masterpiece, best quality parameter: negative_prompt: >- nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name example_title: 1girl ---

irAsu v1.0

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**irAsu** is a second-stage finetune of Illustrious XL 0.1, which fixes the coloring, anatomy, and background of the images generated by the model. ## Standard Prompting Guidelines The model is finetuned from Illustrious XL v0.1, which is trained with danbooru tags. However, there is a little bit changes on dataset captioning, therefore there is some different default prompt used: **Default prompt**: ``` 1girl/1boy, character name, from what series, everything else in any order, best quality, amazing quality, very aesthetic. ``` Note: The quality tag `masterpiece` has been replaced with `best quality` due to reports that it often caused unwanted side effects. **Default negative prompt**: ``` lowres, (bad), text, error, fewer, extra, missing, worst quality, jpeg artifacts, low quality, watermark, unfinished, displeasing, oldest, early, chromatic aberration, signature, extra digits, artistic error, username, scan, [abstract], ``` **Default configuration:** Default configuration: Euler a with around 25-30 steps, CFG 3.5-5, and ENSD set to 31337. Sweet spot is around **28 steps** and **CFG 4**. ## Training Configurations - Finetuned from: [Illustrious XL v0.1](https://huggingface.co/OnomaAIResearch/Illustrious-xl-early-release-v0) **Pretraining:** N/A **Finetuning:** - Dataset size: 3,140 images - GPU: 1xA100 - Optimizer: AdaFactor - Unet Learning Rate: 3e-6 - Text Encoder Learning Rate: - (Train TE set to False) - Batch Size: 16 - Gradient Accumulation: 3 - Warmup steps: 5% - Min SNR Gamma: 5 - Epoch: 10 (epoch 9 is used) - Noise Offset: 0.0357 - Random Cropping: True - Loss: Huber - Huber Schedule: SNR - Huber C: 0.1 ## License **irAsu v1.0** falls under the **[Fair AI Public License 1.0-SD](https://freedevproject.org/faipl-1.0-sd/)** license.