Phopet_9D2Fd2Ce 5124 4D28 9Bd0 0996B3B163A6
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_9d2fd2ce-5124-4d28-9bd0-0996b3b163a6', 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 Pitiflautico33/phopet_9d2fd2ce-5124-4d28-9bd0-0996b3b163a6
Base model
black-forest-labs/FLUX.1-dev