--- 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 base_model: black-forest-labs/FLUX.1-dev pipeline_tag: text-to-image instance_prompt: Y2K widget: - text: a photo of a transparent Y2K device output: url: images/example_2ouza0pk5.png - text: a Y2K portrait photo of a cyberpunk output: url: images/example_g3xul9nzr.png --- # Flux Y2K Run on Replicate: https://replicate.com/fofr/flux-y2k Trained on Replicate using: https://replicate.com/ostris/flux-dev-lora-trainer/train ## Trigger words You should use `Y2K` 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('fofr/flux-y2k', 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)