bb1070/training-6e656f38-ee6a-4b7e-b1f0-a6ec7f24a019

Training 6E656F38 Ee6A 4B7E B1F0 A6Ec7F24A019

Trained on Replicate using:

https://replicate.com/ostris/flux-dev-lora-trainer/train

Trigger words

You should use UNST to trigger the image generation.

Use it with the 🧨 diffusers library

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('bb1070/training-6e656f38-ee6a-4b7e-b1f0-a6ec7f24a019', 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