sahirp/flux-model-826d4ec2-093b-4929-9436-2a3e3e0e88cb-1737790836

Flux Model 826D4Ec2 093B 4929 9436 2A3E3E0E88Cb 1737790836

Trained on Replicate using:

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

Trigger words

You should use NSTLST 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('sahirp/flux-model-826d4ec2-093b-4929-9436-2a3e3e0e88cb-1737790836', 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