metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: >-
      handsome and stylish model wearing a classic navy herringbone suit with a
      light pink dress shirt and a polka dot tie
    output:
      url: images/example_0boive1jq.png
  - text: model sitting in office
    output:
      url: images/example_q2fmw4th1.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: akshatmodel98
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

akshat

Model trained with AI Toolkit by Ostris

Prompt
handsome and stylish model wearing a classic navy herringbone suit with a light pink dress shirt and a polka dot tie

Trigger words

You should use akshatmodel98 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('None', weight_name='akshat')
image = pipeline('a person sitting in a cafe working on a screen ').images[0]
image.save("my_image.png")

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