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/kklors_flux_dev_cellular_automata")
prompt = "triangular modern buildings CA, BW"
image = pipe(prompt).images[0]flux_dev_cellular_automata
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user kklors.
- Prompt
- triangular modern buildings CA, BW
- Prompt
- an interior with cubic carpets CA, BW
- Prompt
- a woman wearing a sweater with intricate patterns CA, BW
- Prompt
- a pixelated forest CA, BW
- Prompt
- miniature cars driving down stairs CA, BW
- Prompt
- microscopy cells CA, BW
Trigger words
You should use CA, BW 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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Base model
black-forest-labs/FLUX.1-dev