import replicate

input = {
    "prompt": "precious",
    "lora_weights": "https://huggingface.co/enkire/b64d05eb0011055e64ce23be5a3904b80939407d4bd8553ed9d0111c74d2d1f2/resolve/main/lora.safetensors"
}

output = replicate.run(
    "black-forest-labs/flux-dev-lora",
    input=input
)
for index, item in enumerate(output):
    with open(f"output_{index}.webp", "wb") as file:
        file.write(item.read())

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('enkire/b64d05eb0011055e64ce23be5a3904b80939407d4bd8553ed9d0111c74d2d1f2', weight_name='lora.safetensors')
image = pipeline('precious').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers

Training details

Steps: 1000
Learning rate: 0.0004
LoRA rank: 16

Contribute your own examples

You can use the community tab to add images that show off what you’ve made with this LoRA.