Text-to-Image
Diffusers
template:sd-lora
flux
lora
How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("glif-loradex-trainer/swap_flux_dev_underwater_world")

prompt = "a couple with open mouth  underwater_world"
image = pipe(prompt).images[0]

flux_dev_underwater_world

Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user swap.

Prompt
a couple with open mouth underwater_world
Prompt
a man in business suit underwater_world
Prompt
a woman skating underwater_world
Prompt
a unique creature underwater_world
Prompt
a woman giving rose underwater_world
Prompt
An hourglass underwater_world

Trigger words

You should use underwater_world to trigger the image generation.

Download model

Weights for this model are available in Safetensors format. Download them in the Files & versions tab.

License

This model is licensed under the flux-1-dev-non-commercial-license.

Downloads last month
21
Inference Providers NEW
Examples

Model tree for glif-loradex-trainer/swap_flux_dev_underwater_world

Adapter
(41860)
this model