Apple

About this LoRA

this was trained on 64 of the same image of an apple here is the link

Trigger words

You should use APPLE to trigger the image generation.

Run this LoRA with an API using Replicate

import replicate

input = {
    "prompt": "APPLE",
    "lora_weights": "https://huggingface.co/boisterous/apple/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('boisterous/apple', weight_name='lora.safetensors')
image = pipeline('APPLE').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.