flux.1
Collection
1 item
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Updated
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
You should use BOTRUSE
to trigger the image generation.
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('aqua-mind/flux_loras_hf', 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
Base model
black-forest-labs/FLUX.1-dev