Instructions to use glif-loradex-trainer/quitters_COPYXCOPY2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/quitters_COPYXCOPY2 with Diffusers:
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/quitters_COPYXCOPY2") prompt = "a portrait of the mona lisa in the style of XCOPY" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
COPYXCOPY2
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user quitters.

- Prompt
- a portrait of the mona lisa in the style of XCOPY

- Prompt
- an XCOPY ouroboros

- Prompt
- a screenshot from the msdos video game, DOOM 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.
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Model tree for glif-loradex-trainer/quitters_COPYXCOPY2
Base model
black-forest-labs/FLUX.1-dev