Pitiflautico33/phopet_9de4665e-83a3-47fa-bc72-0d96b5359ae6

Phopet_9De4665E 83A3 47Fa Bc72 0D96B5359Ae6

Trained on Replicate using:

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

Trigger words

You should use TOK_shep 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_9de4665e-83a3-47fa-bc72-0d96b5359ae6', 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