---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: Jacob holding a sign that says 'I am Jacob!'
  output:
    url: samples/1733828839445__000003000_0.jpg
- text: Jacob holding a coffee cup, in a beanie, sitting at a cafe
  output:
    url: samples/1733828913177__000003000_2.jpg
- text: >-
    Jacob is a DJ at a night club, fish eye lens, smoke machine, lazer lights,
    holding a martini
  output:
    url: samples/1733828950036__000003000_3.jpg
- text: >-
    Jacob playing the guitar, on stage, singing a song, laser lights, punk
    rocker
  output:
    url: samples/1733828986933__000003000_4.jpg
- text: >-
    Jacob, in a post apocalyptic world, with a shotgun, in a leather jacket, in
    a desert, with a motorcycle
  output:
    url: samples/1733829023852__000003000_5.jpg
- text: Jacob, in 90s Japanese Anime style with beautiful city background
  output:
    url: samples/1733829060821__000003000_6.jpg
- text: >-
    Jacob is 160cm tall, wears a complete set of professional suits and walks on
    the streets of Taiwan, photographed by professional photographers and studio
    lighting
  output:
    url: images/example_huuldf0qo.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Jacob
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

---

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

## Trigger words

You should use `Jacob` 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](/JacobLinCool/jacob-image-test-x/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('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
image = pipeline('Jacob holding a sign that says 'I am Jacob!'').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)