Training E8F07318 C86D 4A16 B89E 74C53D86E42F
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
Trigger words
You should use UNST 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('bb1070/training-e8f07318-c86d-4a16-b89e-74c53d86e42f', 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 bb1070/training-e8f07318-c86d-4a16-b89e-74c53d86e42f
Base model
black-forest-labs/FLUX.1-dev