README.md

---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: rohanz
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
widget:
- text: jaydeepsur in tailored Italian suit
  output:
    url: images/example_ut7nw6ob9.png
- text: jaydeepsur in tailored blue italian suit
  output:
    url: images/example_5g66fc5km.png
- text: jaydeepsur in tailored tuxedo
  output:
    url: images/example_3ymxcx0jt.png
- text: >-
    Jaydeepsur sitting at an outdoor café near the Eiffel Tower, enjoying a
    croissant and coffee
  output:
    url: images/example_engyh3efn.png
- text: >-
    Jaydeepsur sitting at an outdoor café near the Eiffel Tower, enjoying a
    croissant and coffee
  output:
    url: images/example_c6p33m9f4.png
- text: Jaydeepsur participating in a Ganga aarti, holding a diya and looking serene
  output:
    url: images/example_6fjgryjou.png
- text: Jaydeepsur walking along the Seine River at sunset, wearing a beret
  output:
    url: images/example_d74cso10j.png
- text: >-
    Jaydeepsur taking a selfie at the edge of the Grand Canyon, capturing the
    stunning natural beauty
  output:
    url: images/example_kukd6sv7q.png
- text: >-
    Jaydeepsur jogging in Central Park, with the New York City skyline visible
    in the distance
  output:
    url: images/example_oyddr0wn0.png
- text: >-
    Jaydeepsur taking a selfie at the edge of the Grand Canyon, capturing the
    stunning natural beauty
  output:
    url: images/example_naa6dxfu5.png
- text: >-
    Jaydeepsur taking a gondola ride in Venice, wearing sunglasses and holding a
    camera
  output:
    url: images/example_sg9njekiy.png
- text: >-
    Jaydeepsur standing on a cobblestone street in Paris at night, surrounded by
    glowing café signs and streetlights
  output:
    url: images/example_8gje9jpht.png
- text: >-
    Jaydeepsur posing near the sparkling Eiffel Tower during its nightly light
    show, with the city’s warm lights as a backdrop
  output:
    url: images/example_b30kss964.png
- text: >-
    Jaydeepsur sitting in a leather chair at a boardroom table, presenting a
    business proposal with dynamic screens glowing in the background
  output:
    url: images/example_6yghfa2dp.png
- text: >-
    Jaydeepsur in a sharp black suit standing in a New York City skyscraper
    office, with the skyline visible through floor-to-ceiling glass windows at
    dusk
  output:
    url: images/example_2cbv1qio4.png
- text: >-
    Jaydeepsur walking confidently through a brightly lit office lobby in Los
    Angeles, holding a briefcase and a coffee cup
  output:
    url: images/example_opojiy6hy.png
- text: >-
    Jaydeepsur sitting in a leather chair at a boardroom table, presenting a
    business proposal with dynamic screens glowing in the background
  output:
    url: images/example_3cpkys9j9.png
- text: >-
    Jaydeepsur in a tailored navy-blue suit, standing in a Tokyo high-rise
    office, with Mount Fuji faintly visible in the background
  output:
    url: images/example_px945bag8.png
- text: >-
    Jaydeepsur adjusting his tie in a sleek, minimalist office space,
    illuminated by soft, neon-blue LED lights
  output:
    url: images/example_xzopvb5if.png

---

# rohanz
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
<Gallery />

## Trigger words

You should use `jaydeepsur` 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](/None/tree/main) them in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
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='rohanz')
image = pipeline('model in a bustling cafe ').images[0]
image.save("my_image.png")
```

For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)