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 color illustration SSGMFV3H
output:
url: images/example_cyt0nidts.png
- text: >-
one young female professor explains about why people can't date while 3~4
students in their early 30s got shocked, black and white illustration
SSGMFV3H
output:
url: images/example_bcv74qhpf.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 illustration SSGMFV3H
output:
url: images/example_a9vs0qyet.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, SSGMFV3H black and
white color illustration
output:
url: images/example_f8vfew2o3.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 illustration SSGMFV3H
output:
url: images/example_pzkqdcq04.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: SSGMFV3H
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_hundred
Model trained with AI Toolkit by Ostris
Trigger words
You should use SSGMFV3H
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', weight_name='storyboard_scene_generation_model_flux_v3_hundred.safetensors')
image = pipeline('SSGMFV3H 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