jwywoo/storyboard-scene-generation-model-flux-v3-F-T

storyboard_scene_generation_model_flux_v3_fifty_training

Model trained with AI Toolkit by Ostris

Prompt

SSGM black and white color illustration, two 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

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

Prompt

SSGM black and white color illustration, one 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

Prompt

SSGM black and white color illustration, one man in his early 30s showing off his cool electronic products on the table and trying to explain its special features

Prompt

SSGM black and white color illustration, one 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

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-F-T', weight_name='storyboard_scene_generation_model_flux_v3_fifty_training.safetensors')
image = pipeline('SSGM black and white color illustration, two 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