--- tags: - text-to-image - flux - lora - diffusers - template:sd-lora - ai-toolkit widget: - text: A seal plays with a ball on the beach, [trigger] style. output: url: samples/1726720631412__000002000_0.jpg - text: A church in a field on a sunny day, [trigger] style. output: url: samples/1726720649927__000002000_1.jpg - text: A clown at the circus rides on a zebra, [trigger] style. output: url: samples/1726720668456__000002000_2.jpg base_model: black-forest-labs/FLUX.1-dev instance_prompt: ORANGEORIGAMI license: other license_name: flux-1-dev-non-commercial-license license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md --- # OrangeOrigami Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit) ## Trigger words You should use `ORANGEORIGAMI` 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](/uwcc/OrangeOrigami/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-dev', torch_dtype=torch.bfloat16).to('cuda') pipeline.load_lora_weights('uwcc/OrangeOrigami', weight_name='OrangeOrigami') image = pipeline('A seal plays with a ball on the beach, [trigger] style.').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)