--- tags: - text-to-image - flux - lora - diffusers - template:sd-lora - ai-toolkit widget: - text: 'A person in a bustling cafe, r0ughkids4rt ' output: url: samples/1725115106736__000001000_0.jpg - text: a cute dinosaur at a park with lots of flowers output: url: samples/1725115124009__000001000_1.jpg - text: 'a little girl sitting on a big chair, the littler girl is reading a book ' output: url: samples/1725115141301__000001000_2.jpg base_model: black-forest-labs/FLUX.1-schnell instance_prompt: r0ughkids4rt license: apache-2.0 --- # rough-kids-illustrations Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit) ## Trigger words You should use `r0ughkids4rt` to trigger the image generation. ## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc. Weights for this model are available in Safetensors format. [Download](/ampp/rough-kids-illustrations/tree/main) them in the Files & versions tab. ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) ```py from diffusers import AutoPipelineForText2Image import torch pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.bfloat16).to('cuda') pipeline.load_lora_weights('ampp/rough-kids-illustrations', weight_name='rough-kids-illustrations') image = pipeline('A person in a bustling cafe, r0ughkids4rt ').images[0] image.save("my_image.png") ``` For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)