prem2282/PRMAND

1---2license: other3license_name: flux-1-dev-non-commercial-license4license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md5language:6- en7tags:8- flux9- diffusers10- lora11- replicate12base_model: "black-forest-labs/FLUX.1-dev"13pipeline_tag: text-to-image14instance_prompt: PRMAND15---16 17# Prmand18 19Trained on Replicate using:20 21https://replicate.com/ostris/flux-dev-lora-trainer/train22 23 24## Trigger words25You should use `PRMAND` to trigger the image generation.26 27 28## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)29 30```py31from diffusers import AutoPipelineForText2Image32import torch33 34pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')35pipeline.load_lora_weights('prem2282/PRMAND', weight_name='lora.safetensors')36image = pipeline('your prompt').images[0]37```38 39For 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)40