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_Andy_prodigy")

prompt = "Andy sitting alone in the jungle crying [Andy_meme]"
image = pipe(prompt).images[0]

Andy_prodigy

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

Prompt
Andy sitting alone in the jungle crying [Andy_meme]
Prompt
Trump dancing with an angry face next to Andy [Andy_meme]
Prompt
An 8-bit super street fighter game with Andy vs Pepe [Andy_meme]
Prompt
An exciting action scene featuring Andy [Andy_meme]
Prompt
a Japanese anime dramatic scene with Andy and a human woman [Andy_meme]
Prompt
Andy sitting and explaining life to a sad child [Andy_meme]

Trigger words

You should use Andy_meme 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.

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