metadata
license: other
license_name: flux-1-schnell-non-commercial-license
license_link: https://huggingface.co./black-forest-labs/FLUX.1-schnell/blob/main/LICENSE.md
language:
- en
tags:
- flux
- diffusers
- lora
- replicate
base_model: black-forest-labs/FLUX.1-schnell
pipeline_tag: text-to-image
instance_prompt: SABA
height: 1024
width: 512
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('janannfndnd/SABA', 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