--- tags: - text-to-image - lora - diffusers - template:diffusion-lora widget: - text: >- outer, The Nike x Balenciaga down jacket black, a photography of a black down jacket with a logo on the chest. output: url: images/generated_results_fashion_flux_349_0.png - text: >- top, (W) Moncler x Adidas Slip Hoodie Dress Cream, a photography of a cream dress and a hood on. output: url: images/generated_results_fashion_flux_349_1.png - text: >- bottom, Supreme Animal Print Baggy Jean Washed Indigo - 23FW, a photography of a dark blue jean with an animal printing on. output: url: images/generated_results_fashion_flux_349_2.png - text: >- outer, The North Face x Supreme White Label Nuptse Down Jacket Cream, a photography of a white puffer jacket with a red box logo on the front. output: url: images/generated_results_fashion_flux_349_3.png - text: >- top, The Supreme x Stussy Oversized Cotton Black Hoodie, a photography of a black shirt with a hood on and a logo on the chest. output: url: images/generated_results_fashion_flux_349_4.png - text: >- bottom, IAB Studio x Stussy Tie-Dye Sweat Wooven Shorts, a photography of a dye short pants with a logo. output: url: images/generated_results_fashion_flux_349_5.png base_model: black-forest-labs/FLUX.1-dev instance_prompt: Text-to-Image, Flux.1-[dev], LoRA, diffusers license: creativeml-openrail-m datasets: - hahminlew/kream-product-blip-captions --- Fashion product generator based on Flux.1 is a fine-tuned generative text-to-image model using fashion product dataset collected on KREAM, one of the best online marketplaces in Korea. The latest version of LoRA trained with improved automatic captioning can be found: [Flux.1-dev-kream-lora-enhanced]https://huggingface.co/Murmisov/Flux.1-dev-kream-lora-enhanced. Detailed instructions on fine-tuning and inference of the model can be found in the github repository: Fashion is my profession. # Flux.1-dev-LoRA-fashion-default ## Download model Weights for this model are available in Safetensors format. [Download](/Murmisov/lux.1-dev-kream-lora/tree/main) them in the Files & versions tab. ## Citation If you use KREAM Product Dataset and the model in your research or projects, please cite it as: ``` @misc{lew2023kream, author = {Lew, Hah Min}, title = {KREAM Product BLIP Captions}, year={2023}, howpublished= {\url{https://huggingface.co/datasets/hahminlew/kream-product-blip-captions/}} } ```