Tikkibot's picture
|
download
raw
2.1 kB
metadata
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
language:
  - en
tags:
  - flux
  - diffusers
  - lora
  - replicate
base_model: black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
instance_prompt: Eddie

Marketingtechai

About this LoRA

This is a LoRA for the FLUX.1-dev text-to-image model. It can be used with diffusers or ComfyUI.

It was trained on Replicate using AI toolkit: https://replicate.com/ostris/flux-dev-lora-trainer/train

Trigger words

You should use Eddie to trigger the image generation.

Run this LoRA with an API using Replicate

import replicate

input = {
    "prompt": "Eddie",
    "lora_weights": "https://huggingface.co/Eddiepitt/MarketingTechAI/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('Eddiepitt/MarketingTechAI', weight_name='lora.safetensors')
image = pipeline('Eddie').images[0]

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

Training details

  • Steps: 2024
  • 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.

Xet Storage Details

Size:
2.1 kB
·
Xet hash:
43ecf1a89c077e0f8d0404fe4a1bdad69268afd5c893c1198443e9d763d330ef

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.