Thelastben

Models by this creator

💬

hrrzg-style-768px

TheLastBen

Total Score

89

The hrrzg-style-768px model is a Stable Diffusion model trained by TheLastBen on the work of photographer Fred Herzog. This model can generate images in the distinct style of Herzog's photography, with a focus on detailed, cinematic street scenes and portraiture. Similar models include the herge-style model trained on the Hergé style, and the Evt_V3 model for a more general anime-inspired aesthetic. Model inputs and outputs The hrrzg-style-768px model takes text prompts as input and generates high-resolution images in the style of Fred Herzog's photography. The model was trained on a dataset of 30 images at 768x768 resolution, with a focus on detailed street scenes and portraiture. Inputs Text prompts describing the desired image, including elements like subject, setting, and style Outputs High-resolution images (896x768 and above) in the distinct aesthetic of Fred Herzog's photography, with a cinematic, detailed look Capabilities The hrrzg-style-768px model can generate striking, realistic images in the style of Fred Herzog's work. It excels at producing detailed, moody street scenes and portraits with a cinematic quality. The model can capture the essence of Herzog's style, including the use of natural lighting, muted colors, and a focus on candid, gritty urban environments. What can I use it for? The hrrzg-style-768px model could be valuable for artists, photographers, and designers looking to recreate or be inspired by the aesthetic of Fred Herzog's photography. It could be used to generate images for use in media, advertising, or creative projects, or as a starting point for further artistic exploration and editing. The model's capabilities in portraiture and street scenes make it a versatile tool for a variety of applications. Things to try One interesting avenue to explore with the hrrzg-style-768px model would be combining its distinct aesthetic with other visual styles or subjects. Experimenting with prompts that blend the Herzog look with elements from other genres, like science fiction or fantasy, could yield unique and striking results. Additionally, users could try fine-tuning the model further on their own datasets to create highly personalized variations on the Fred Herzog style.

Read more

Updated 5/28/2024

🔮

Papercut_SDXL

TheLastBen

Total Score

50

Papercut_SDXL is a text-to-image AI model developed by TheLastBen. It is trained using the fast-stable-diffusion SDXL trainer, which aims to create images with a distinct "papercut" style. Model inputs and outputs Papercut_SDXL takes text prompts as input and generates corresponding images. The model can produce a variety of scenes and subjects, as demonstrated by the sample images provided. Inputs Text prompts that start with "papercut -subject/scene-" Outputs Images with a unique "papercut" visual style Capabilities Papercut_SDXL can generate images with a distinctive papercut aesthetic. The model is capable of producing a range of scenes and subjects, from abstract compositions to more realistic depictions. What can I use it for? The Papercut_SDXL model could be useful for creating unique, stylized images for a variety of applications, such as art, design, or content creation. Its distinctive visual style could make it a valuable tool for those seeking to incorporate a distinctive, handcrafted look into their projects. Things to try Experiment with different text prompts to see the range of images the Papercut_SDXL model can produce. Try combining the model with other text-to-image systems or post-processing techniques to further refine the output.

Read more

Updated 8/23/2024

🔮

Papercut_SDXL

TheLastBen

Total Score

50

Papercut_SDXL is a text-to-image AI model developed by TheLastBen. It is trained using the fast-stable-diffusion SDXL trainer, which aims to create images with a distinct "papercut" style. Model inputs and outputs Papercut_SDXL takes text prompts as input and generates corresponding images. The model can produce a variety of scenes and subjects, as demonstrated by the sample images provided. Inputs Text prompts that start with "papercut -subject/scene-" Outputs Images with a unique "papercut" visual style Capabilities Papercut_SDXL can generate images with a distinctive papercut aesthetic. The model is capable of producing a range of scenes and subjects, from abstract compositions to more realistic depictions. What can I use it for? The Papercut_SDXL model could be useful for creating unique, stylized images for a variety of applications, such as art, design, or content creation. Its distinctive visual style could make it a valuable tool for those seeking to incorporate a distinctive, handcrafted look into their projects. Things to try Experiment with different text prompts to see the range of images the Papercut_SDXL model can produce. Try combining the model with other text-to-image systems or post-processing techniques to further refine the output.

Read more

Updated 8/23/2024