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_LMEOW_Prodigy")

prompt = "lmeow as a ninja [$LME0W]"
image = pipe(prompt).images[0]

LMEOW_Prodigy

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

Prompt
lmeow as a ninja [$LME0W]
Prompt
lmeow vs. Batman [$LME0W]
Prompt
lmeow roasting doge on a grill [$LME0W]
Prompt
An exciting action scene featuring lmeow [$LME0W]
Prompt
a Japanese anime dramatic scene with lmeow and a human woman [$LME0W]
Prompt
lmeow in a therapist office talking with a therapist holding a clipboard [$LME0W]

Trigger words

You should use $LME0W 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
1
Inference Providers NEW
Examples

Model tree for glif-loradex-trainer/insectagon_LMEOW_Prodigy

Adapter
(42000)
this model