Phopet_9Dacdd3F Df6C 4Ad8 A05D 029Da1211E6A
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
Trigger words
You should use TOK_borita
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_9dacdd3f-df6c-4ad8-a05d-029da1211e6a', 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_9dacdd3f-df6c-4ad8-a05d-029da1211e6a
Base model
black-forest-labs/FLUX.1-dev