{ "bomFormat": "CycloneDX", "specVersion": "1.6", "serialNumber": "urn:uuid:36ba7488-06f4-490d-9231-4fe7d5641554", "version": 1, "metadata": { "timestamp": "2025-06-05T09:42:09.455907+00:00", "component": { "type": "machine-learning-model", "bom-ref": "renderartist/simplevectorflux-e0c6eafc-2c9a-5ad1-8516-a7bf90b41353", "name": "renderartist/simplevectorflux", "externalReferences": [ { "url": "https://huggingface.co/renderartist/simplevectorflux", "type": "documentation" } ], "modelCard": { "modelParameters": { "task": "text-to-image" }, "properties": [ { "name": "library_name", "value": "diffusers" }, { "name": "base_model", "value": "black-forest-labs/FLUX.1-dev" } ] }, "authors": [ { "name": "renderartist" } ], "licenses": [ { "license": { "name": "creativeml-openrail-m" } } ], "description": "Simple Vector Flux was trained on a curated dataset of ~50 synthetic images in classic vector style, 17 epochs, 2 repeats, ~1700 steps.This is a work in progress and it can be a little temperamental, the captioning was done using Joy Caption Batch with the trigger "v3ct0r" and "vector" in the prefix of the captions.You have to work a little bit to get desired results and sometimes there is bleeding/blending of subjects but overall the style is present and the results can be really good. This LoRA takes a couple of tries adjusting your prompt and adding tokens to match the style.", "tags": [ "diffusers", "text-to-image", "stable-diffusion", "lora", "template:sd-lora", "base_model:black-forest-labs/FLUX.1-dev", "base_model:adapter:black-forest-labs/FLUX.1-dev", "license:creativeml-openrail-m", "region:us" ] } } }