--- license: creativeml-openrail-m tags: - pytorch - diffusers - stable-diffusion - text-to-image - diffusion-models-class - dreambooth-hackathon - science widget: - text: a photo of kldscp pattern as a fruit salad datasets: - rmahfuz/kaleidoscope --- # DreamBooth model for the kldscp concept trained by rmahfuz on the rmahfuz/kaleidoscope dataset. This is a Stable Diffusion model fine-tuned on the kldscp concept with DreamBooth. It can be used by modifying the `instance_prompt`: **a photo of kldscp pattern** Here are examples of some images generated with this fine-tuned model, along with the text prompts:
kldscp pattern as a fruit salad, guidance: 11
kldscp pattern as a fruit salad, guidance: 30
kldscp pattern as a vegetable salad, guidance: 30
kldscp pattern as a bouquet, guidance: 20
kldscp pattern in starfish shape, guidance: 30
kldscp pattern as black night sky with sparse sparkling white stars, guidance: 40
This model was created as part of the DreamBooth Hackathon 🔥. Visit the [organisation page](https://huggingface.co/dreambooth-hackathon) for instructions on how to take part! ## Description This is a Stable Diffusion model fine-tuned on kaleidoscope `pattern` images for the science theme. ## Usage ```python from diffusers import StableDiffusionPipeline pipeline = StableDiffusionPipeline.from_pretrained('rmahfuz/kldscp-pattern') image = pipeline().images[0] image ```