Pitiflautico33/phopet_9d60208a-cb44-4f4b-bca9-4fd219b557e5

Phopet_9D60208A Cb44 4F4B Bca9 4Fd219B557E5

Trained on Replicate using:

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

Trigger words

You should use TOK_sonne 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('Pitiflautico33/phopet_9d60208a-cb44-4f4b-bca9-4fd219b557e5', 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