--- tags: - text-to-image - flux - lora - diffusers - template:sd-lora - ai-toolkit widget: - text: A person in a V1K4OR styled bustling cafe output: url: samples/1745334797392__000002000_0.jpg - text: V1K4OR interior style output: url: samples/1745334829305__000002000_1.jpg - text: V1K4OR interior style room with a TV output: url: samples/1745334861088__000002000_2.jpg base_model: black-forest-labs/FLUX.1-dev instance_prompt: V1K4OR 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 --- # baroque-interior-lora Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit) ## Trigger words You should use `V1K4OR` 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](/synthgen-co/baroque-interior-lora/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('synthgen-co/baroque-interior-lora', weight_name='baroque-interior-lora.safetensors') image = pipeline('A person in a V1K4OR styled bustling cafe').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)