README.md

---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: >-
    [trigger] black and white color illustration, two asian males in their late
    30s and one asian female in her late 20s having a conversation about
    economic issue in a newsroom, while laughing and arguing
  output:
    url: samples/1733384254426__000002000_0.jpg
- text: >-
    [trigger] black and white color illustration, one asian male in his 30s and
    one asian female in her early 20s sitting on the different couch talking
    about their life while the guy is trying to make fun of her
  output:
    url: samples/1733384291697__000002000_2.jpg
- text: >-
    [trigger] black and white color illustration, an Asian man in his early 30s
    showing off his cool electronic products on the table and trying to explain
    its special features
  output:
    url: samples/1733384310326__000002000_3.jpg
- text: >-
    [trigger] black and white color illustration, 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
  output:
    url: samples/1733384328971__000002000_4.jpg
- text: >-
    SSGM black and white color 4 scenes  of illustrations  Frist scene, in the
    vibrant interior of Seongsimdang, a famous bakery in Daejeon, a male host of
    Asian descent with short black hair, wearing a casual blue t-shirt and khaki
    shorts, enthusiastically introduces the video. The camera captures the warm
    natural light streaming through the windows, highlighting the bakery's
    inviting atmosphere. He begins by showcasing the exterior of Seongsimdang
    with a drone shot, setting an engaging tone for the review of the 17
    different types of bread that will be featured.  Second scene, as the video
    transitions inside, the male host of Asian descent with short black hair,
    wearing a casual blue t-shirt and khaki shorts, is seen closely examining a
    variety of breads displayed on the counter. The camera zooms in on his
    expressions as he takes a moment to appreciate the unique textures and
    colors of each bread. The bustling environment filled with customers adds to
    the lively ambiance, and the host captures the reactions of patrons enjoying
    their treats, creating a relatable and immersive experience for the
    viewers.  Third Scene, in a delightful segment, the male host of Asian
    descent with short black hair, wearing a casual blue t-shirt and khaki
    shorts, takes a bite of a freshly baked pastry, emphasizing the ASMR effect
    with the sounds of crunching and chewing. He shares his honest review,
    reflecting on the flavors and textures while encouraging viewers to connect
    with his personal taste. The camera captures his genuine reactions, making
    the audience feel as if they are experiencing the deliciousness alongside
    him.  Fourth Scene, towards the end of the video, the male host of Asian
    descent with short black hair, wearing a casual blue t-shirt and khaki
    shorts, engages in a brief interview format, discussing the history of
    Seongsimdang and its popular menu items. He holds a piece of bread in his
    hand, breaking it apart to reveal its soft interior, while sharing insights
    that deepen the viewers' understanding of the bakery. The editing maintains
    a fast pace with simple visuals, ensuring an enjoyable viewing experience
    that highlights the charm of each bread reviewed.
  output:
    url: images/example_hz2r25z1u.png
- text: >-
    SSGM black and white color 4 scenes  of illustrations, First Scene: A young
    Asian male, wearing a blue short-sleeve shirt and black jeans, arrives at
    the bustling 설빙 store located near Hongdae Station on a sunny day. He is the
    creator of the video, excitedly preparing for his first day of work. He
    checks his phone for the time, which reads 9 AM, and takes a deep breath as
    he steps inside the store, ready to embrace the day ahead.  Second Scene:
    Inside the store, the same young Asian male is seen sitting across from the
    store manager, a middle-aged Korean woman in a white blouse and black apron.
    They engage in a light-hearted interview about the job and the store's
    popular summer dessert, 빙수. The camera captures their friendly conversation,
    showcasing the welcoming atmosphere of the 설빙 store.  Third Scene: The young
    Asian male is now behind the counter, wearing a red 설빙 apron over his blue
    short-sleeve shirt. He is learning how to make various types of 빙수 from a
    cheerful young Asian female coworker, who is dressed in a pink t-shirt and
    denim shorts. They laugh together as she shares the secret tips for making
    the perfect 빙수, while customers eagerly wait in line.  Fourth Scene: The
    scene shifts to the young Asian male taking orders at the register, still in
    his red 설빙 apron. He interacts with a diverse group of customers, including
    a Caucasian female in a yellow sundress and a Black male in a green tank
    top. The atmosphere is lively, filled with laughter and chatter, as he
    navigates the busy environment, showcasing the fun and dynamic nature of
    working at 설빙.
  output:
    url: images/example_hsaorwq91.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: SSGM
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_scene_generation_model_flux_v3_FLH
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
<Gallery />

## Trigger words

You should use `SSGM([trigger]) black and white color illustration` or `SSGM([trigger]) black and white color 4 scenes  of illustrations` 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-scene-generation-model-flux-v3-FLH/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-scene-generation-model-flux-v3-FLH', weight_name='storyboard_scene_generation_model_flux_v3_FLH.safetensors')
image = pipeline('[trigger] black and white color illustration, two asian males in their late 30s and one asian female in her late 20s having a conversation about economic issue in a newsroom, while laughing and arguing').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)