Flux Dev Lora U_Oussou_9Fd90297_8052_4D76_A353_B8F303E5873C
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('victan/flux-dev-lora-u_oussou_9fd90297_8052_4d76_a353_b8f303e5873c', 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
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Model tree for victan/flux-dev-lora-u_oussou_9fd90297_8052_4d76_a353_b8f303e5873c
Base model
black-forest-labs/FLUX.1-dev