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---
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
- text: >-
An asian male in his early 20's and asian female in her early 20's are
sitting on the wooden floor with some snacks, and drinking and laughing,
black and white color theme SGMJD
output:
url: images/example_yk27esw90.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)
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