ABOUT THE MODEL
The model excels at generating stunning images of Temari (from Naruto) dressed in three distinct outfits: (1)Fishnet, (2)Black Kimono, or (3)Violet Kimono . Various other Creative outfits can also be generated . You can mix and match these styles for creative combinations! Best suited for short, expressive poses—extensive details are not supported.
TRAINING INFO
The prompts in the training set were described using concise tags, each consisting of 2-3 words. A detailed description typically required 8-13 such tags. The model was trained for 54 epochs on a dataset of 38 images, utilizing a Cosine Scheduler with repetition/cycles and the Prodigy Optimizer for fine-tuned results.
INFERENCE TIPS
When using the model for inference, start by imagining a concept, pose, or activity, and describe it succinctly with short sentences. Negative prompts play a crucial role in refining outputs. While minute features can be added, their generation is not always guaranteed.
Feel free to experiment with other recommended resources to combine multiple pre-trained models, creating high-quality, diverse images. Use your creativity to craft beautiful and captivating images, and don’t forget to share your best outputs in a post to spread joy and gain appreciation!
Experiment with different settings such as Negative Prompts, Samplers, CFG scales, Steps, and Positive Prompts. Leverage already generated images and sample references to fine-tune your prompts, maximizing the model's potential. Have fun creating!
CREATOR REQUEST
I am more interested in seeing the diverse art-styles , poses and images that can be generated by my LoRA model using the creativity of the community . So please post your best images (following the below guide link) under model page to support creators as well . Thankyou . Enjoy ! Here are some Civitai Tips : https://civarchive.com/articles/11156/how-to-improve-your-civitai-experience-v11
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Details
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.



















