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/Danyl_maxstakes_style_v2")
prompt = "sunny suburban backyard, pepe frog kneeling and chiselling a towering sandstone statue of a visor-cat, yellow visor-cat hugging pepe’s back, white drip-cat in orange shorts hammering, lush grass, comic-book shading, vibrant neon tones, maxstakes"
image = pipe(prompt).images[0]maxstakes_style_v2
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user Danyl.
- Prompt
- sunny suburban backyard, pepe frog kneeling and chiselling a towering sandstone statue of a visor-cat, yellow visor-cat hugging pepe’s back, white drip-cat in orange shorts hammering, lush grass, comic-book shading, vibrant neon tones, maxstakes
- Prompt
- epic sunrise over a parted neon-purple sea, giant saintly pepe frog with halo and red toga stands in the distance, wooden bridge to a glowing portal, yellow visor-cat sprinting ahead of white drip-cat, radiant light rays, saturated cartoon vectors, maxstakes
- Prompt
- night-time beach rave, yellow visor-cat surfing a glowing turquoise wave under a full moon, pepe frog cheering from the shore, white drip-cat doing a backflip, sparkling water droplets, high-contrast Illustrator style, maxstakes
Trigger words
You should use maxstakes 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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Model tree for glif-loradex-trainer/Danyl_maxstakes_style_v2
Base model
black-forest-labs/FLUX.1-dev