metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: A person in a bustling cafe pareshv
    output:
      url: samples/1738127149163__000003000_0.jpg
  - text: pareshv in tailored Italian suit
    output:
      url: samples/1738127162668__000003000_1.jpg
  - text: pareshv in tailored Italian blue suit in office
    output:
      url: samples/1738127176178__000003000_2.jpg
  - text: pareshv in tailored Italian suit
    output:
      url: images/example_6p265ph4k.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: pareshv
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

pareshv

Model trained with AI Toolkit by Ostris

Prompt
pareshv in tailored Italian blue suit in office

Trigger words

You should use pareshv 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='pareshv')
image = pipeline('A person in a bustling cafe pareshv').images[0]
image.save("my_image.png")

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