metadata

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 in his 40s training a dog and happy SGMJD
    output:
      url: samples/1732868784988__000001000_2.jpg
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

Prompt
One asian male and one asian female talking to each other while drinking on the wooden floor SGMJD

Prompt
Two asian male and one asian female having a conversation about economic issues in a newsroom SGMJD

Prompt
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

Prompt
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

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 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('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