--- 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 language: - en tags: - flux - diffusers - lora - replicate base_model: black-forest-labs/FLUX.1-dev pipeline_tag: text-to-image instance_prompt: ANN widget: - text: >- a model wearing a stylish and contemporary outfit. The ensemble includes: A long, sheer knit dress in an olive-green hue. The knit is loose and semi-transparent, revealing layers underneath while providing an elongated silhouette. A crisp white shirt with exaggerated cuffs that peek out from the sleeves of the knit dress, adding structure and a contrasting texture. Black leather shoes with a polished and minimalist design, grounding the outfit. A black handbag with a metallic chain detail, featuring intricate embellishments for a luxurious and edgy touch. The model's hair is styled in a short, tousled, and slightly wavy look, enhancing the overall modern aesthetic. The outfit conveys an avant-garde, layered fashion statement blending femininity and edge., ANN output: url: images/example_vt9m0dwph.png - text: >- A runway model is wearing long black dress, minimalistic look, simple cut and elegance, ANN output: url: images/example_3xcpioaaq.png --- # Ann_Demeulemeester Trained on Replicate using: https://replicate.com/ostris/flux-dev-lora-trainer/train ## Trigger words You should use `ANN` to trigger the image generation. ## 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.float16).to('cuda') pipeline.load_lora_weights('veravira/ann_demeulemeester', weight_name='lora.safetensors') image = pipeline('your prompt').images[0] ``` 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)