tscstudios/5yvgvrabvqbdhauaiojlbcta6cb2_75ce8f2e-3007-4f2d-aaeb-bebc408f67d3
07
5Yvgvrabvqbdhauaiojlbcta6Cb2_75Ce8F2E 3007 4F2D Aaeb Bebc408F67D3
<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/5yvgvrabvqbdhauaiojlbcta6cb2_75ce8f2e-3007-4f2d-aaeb-bebc408f67d3', 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
