Training 14Ab2792 Cb5F 4Fb2 Bb6C Cdc0Acce1704

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-14ab2792-cb5f-4fb2-bb6c-cdc0acce1704', 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

Downloads last month
1
Inference Providers NEW

Model tree for bb1070/training-14ab2792-cb5f-4fb2-bb6c-cdc0acce1704

Adapter
(36795)
this model