Pitiflautico33/phopet_9d5919b3-3b9c-4a5b-84ff-822b1eac09d5

Phopet_9D5919B3 3B9C 4A5B 84Ff 822B1Eac09D5

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('Pitiflautico33/phopet_9d5919b3-3b9c-4a5b-84ff-822b1eac09d5', 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