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/insectagon_Moths_opal_fire")

prompt = "BABY YODA [mothfire]"
image = pipe(prompt).images[0]

Moths_opal_fire

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

Prompt
BABY YODA [mothfire]
Prompt
CARS[mothfire]
Prompt
AN ACTION SCENE [mothfire]
Prompt
A CAT [mothifre]
Prompt
THE JOKER [mothfire]
Prompt
SPIDERMAN IN NYC [mothfire]

Trigger words

You should use mothfire 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
6
Inference Providers NEW
Examples

Model tree for glif-loradex-trainer/insectagon_Moths_opal_fire

Adapter
(42660)
this model