jwywoo/storyboard-scene-generation-model-flux-v3-h

storyboard_scene_generation_model_flux_v3_hundred

Model trained with AI Toolkit by Ostris

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 color illustration SSGMFV3H

Prompt

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

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 illustration SSGMFV3H

Prompt

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

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 illustration SSGMFV3H

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