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/quitters_COPYXCOPY")
prompt = "a portrait in the style of XCOPY"
image = pipe(prompt).images[0]COPYXCOPY
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user quitters.
- Prompt
- a portrait in the style of XCOPY
- Prompt
- a really interesting XCOPY
- Prompt
- an art canvas containing XCOPY
Trigger words
You should use XCOPY 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
- 5
Model tree for glif-loradex-trainer/quitters_COPYXCOPY
Base model
black-forest-labs/FLUX.1-dev