codermert/model_malika
2120
Tugce_Flux
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
Trigger words
You should use tugce to trigger the image generation.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('Fihade/Kodak-Portra400-xl-LoRA', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('codermert/model_malika', weight_name='flux_train_replicate.safetensors')
image = pipeline('your prompt').images[0]For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
