---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: >-
    One asian male and one asian female talking to each other while drinking on
    the wooden floor  SGMJD
  output:
    url: samples/1732868733465__000001000_0.jpg
- text: >-
    Two asian male and one asian female having a conversation about economic
    issues in a newsroom SGMJD
  output:
    url: samples/1732868759233__000001000_1.jpg
- text: >-
    One asian male and one asian female talking to each other while drinking on
    the wooden floor, style should be black and white color SGMJD
  output:
    url: images/example_46zjrtp4d.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: SGMJD
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

---

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

## Trigger words

You should use `SGMJD` 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](/jwywoo/storyboard-generator-model-joing-demo/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('jwywoo/storyboard-generator-model-joing-demo', weight_name='storyboard-generator-model-joing-demo.safetensors')
image = pipeline('One asian male and one asian female talking to each other while drinking on the wooden floor  SGMJD').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)