tscstudios/1ppGkYzffKh8i245f5K9YUlb0dC2_f0a7c42f-4d00-4a26-96b6-dab27ac67227
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1Ppgkyzffkh8I245F5K9Yulb0Dc2_F0A7C42F 4D00 4A26 96B6 Dab27Ac67227
<Gallery />
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
Trigger words
You should use TOK 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('tscstudios/1ppGkYzffKh8i245f5K9YUlb0dC2_f0a7c42f-4d00-4a26-96b6-dab27ac67227', 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
