Kohya's GUI

1. Gather a dataset of character concept art.

2. Use Kohya's GUI to train a LoRA model on the dataset.

3. Generate images using the trained LoRA model and desired prompts.

4. Refine the model by adjusting training parameters based on generated results.

1. Compile a dataset of existing product photos.

2. Fine-tune a Stable Diffusion model using Kohya's GUI with product-specific prompts.

3. Generate new product images with varied angles and backgrounds.

4. Evaluate and iterate on the model based on generated image quality.

1. Collect a diverse dataset of face images with varied expressions and accessories.

2. Train a LoRA model using Kohya's GUI to capture the nuances of different styles.

3. Use text prompts to guide the avatar generation process.

4. Allow users to customize prompts for highly personalized avatars.

1. Gather concept art and 3D models of characters.

2. Use Kohya's GUI to fine-tune a Stable Diffusion model.

3. Generate concept images for new characters, ensuring stylistic consistency.

4. Use these concepts to create final game assets.

1. Assemble a dataset of architectural images and blueprints.

2. Train a Stable Diffusion model using Kohya's GUI with architectural style prompts.

3. Generate visualizations of building designs with desired styles and parameters.

4. Refine the model through iterative training and prompt engineering.

1. Collect a dataset of artworks by the target artist.

2. Train a LoRA model using Kohya's GUI with style-specific prompts.

3. Generate new images using the LoRA model and custom prompts.

4. Iteratively refine the model based on generated output to achieve the desired style.