metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: >-
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, black and white illustration SSGMFV3F
output:
url: images/example_2njjz03ty.png
- text: >-
SSGMFV3F black and white illustration, one young female professor explains
about why people can't date while 3~4 students in their early 30s got
shocked
output:
url: images/example_yfecpr4rt.png
- text: >-
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, black and white color drawing SSGMFV3F
output:
url: images/example_ayy96x8s6.png
- text: >-
an Asian man in his early 30s showing off his cool electronic products on
the table and trying to explain its special features, black and white
illustration SSGMFV3F
output:
url: images/example_px8zzy21f.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, black and white color illustartion SSGMFV3F
output:
url: images/example_3h4sgf8zh.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: SSGMFV3F
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-F/resolve/main/images/example_2njjz03ty.png)
- Prompt
- 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, black and white illustration SSGMFV3F
![](https://huggingface.co./jwywoo/storyboard-scene-generation-model-flux-v3-F/resolve/main/images/example_yfecpr4rt.png)
- Prompt
- SSGMFV3F black and white illustration, one young female professor explains about why people can't date while 3~4 students in their early 30s got shocked
![](https://huggingface.co./jwywoo/storyboard-scene-generation-model-flux-v3-F/resolve/main/images/example_ayy96x8s6.png)
- Prompt
- 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, black and white color drawing SSGMFV3F
![](https://huggingface.co./jwywoo/storyboard-scene-generation-model-flux-v3-F/resolve/main/images/example_px8zzy21f.png)
- Prompt
- an Asian man in his early 30s showing off his cool electronic products on the table and trying to explain its special features, black and white illustration SSGMFV3F
![](https://huggingface.co./jwywoo/storyboard-scene-generation-model-flux-v3-F/resolve/main/images/example_3h4sgf8zh.png)
- 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, black and white color illustartion SSGMFV3F
Trigger words
You should use SSGMFV3F
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-F', weight_name='storyboard_scene_generation_model_flux_v3_fifty.safetensors')
image = pipeline('SSGMFV3F 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