bb1070/bunch_table_white_bg_good_prompt_1img_EH_4e4_b1_layers7-12-16-20_1k_drop0.8

Bunch_Table_White_Bg_Good_Prompt_1Img_Eh_4E4_B1_Layers7 12 16 20_1K_Drop0.8

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/bunch_table_white_bg_good_prompt_1img_EH_4e4_b1_layers7-12-16-20_1k_drop0.8', 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