metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: >-
SSGM 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/finetuned_bdns.jpg
- text: >-
SSGM 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/finetuned_cgbb.jpg
- text: >-
SSGM 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/finetuned_comics.jpg
- text: >-
SSGM 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/finetuned_itsub.jpg
- text: >-
SSGM black and white color illustration, one young female professor
explains about why people can't date while 3~4 students in their early
30s got shocked
output:
url: samples/finetuned_pixic.jpg
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_fifty
Model trained with AI Toolkit by Ostris
![](https://huggingface.co/jwywoo/storyboard-scene-generation-model-flux-v3-H-T/resolve/main/samples/finetuned_bdns.jpg)
- Prompt
- SSGM 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
![](https://huggingface.co/jwywoo/storyboard-scene-generation-model-flux-v3-H-T/resolve/main/samples/finetuned_cgbb.jpg)
- Prompt
- SSGM 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
![](https://huggingface.co/jwywoo/storyboard-scene-generation-model-flux-v3-H-T/resolve/main/samples/finetuned_comics.jpg)
- Prompt
- SSGM 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
![](https://huggingface.co/jwywoo/storyboard-scene-generation-model-flux-v3-H-T/resolve/main/samples/finetuned_itsub.jpg)
- Prompt
- SSGM 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
![](https://huggingface.co/jwywoo/storyboard-scene-generation-model-flux-v3-H-T/resolve/main/samples/finetuned_pixic.jpg)
- Prompt
- SSGM black and white color illustration, one young female professor explains about why people can't date while 3~4 students in their early 30s got shocked
Trigger words
You should use SSGM
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-scene-generation-model-flux-v3-H-T', weight_name='storyboard_scene_generation_model_flux_v3_hundred_training.safetensors')
image = pipeline('SSGM 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