metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: '[metart] young woman holding a sign that says ''I LOVE PROMPTS!'''
    output:
      url: samples/1741620417978__000002000_0.jpg
  - text: woman with red hair and green eyes playing chess in the nude at the park
    output:
      url: samples/1741620431711__000002000_1.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: metart
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

MetartLoRA

Model trained with AI Toolkit by Ostris

Prompt
[metart] young woman holding a sign that says 'I LOVE PROMPTS!'

Prompt
woman with red hair and green eyes playing chess in the nude at the park

Trigger words

You should use metart to trigger the image generation.

Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

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.bfloat16).to('cuda')
pipeline.load_lora_weights('MegaTronX/MetartLoRA', weight_name='MetartLoRA.safetensors')
image = pipeline('[metart] young woman holding a sign that says 'I LOVE PROMPTS!'').images[0]
image.save("my_image.png")

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