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/Angelo-ec24_yyycd_logo_flux1dev_v6")
prompt = "wyvologo, centered on a pure white background, minimal, ultra sharp vector logo, perfect edges"
image = pipe(prompt).images[0]yyycd_logo_flux1dev_v6
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user Angelo-ec24.
- Prompt
- wyvologo, centered on a pure white background, minimal, ultra sharp vector logo, perfect edges
- Prompt
- wyvologo printed in white on a matte black background, centered composition, crisp geometry
- Prompt
- wyvologo, small in the bottom-right corner of a white background, clean branding mark
Trigger words
You should use wyvologo 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/Angelo-ec24_yyycd_logo_flux1dev_v6
Base model
black-forest-labs/FLUX.1-dev