Heart_Regular_B1_4E4_Layers7 12 16 20_1K
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/Heart_Regular_b1_4e4_layers7-12-16-20_1k', 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/Heart_Regular_b1_4e4_layers7-12-16-20_1k
Base model
black-forest-labs/FLUX.1-dev