Instructions to use glif-loradex-trainer/quitters_COPYXCOPY with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/quitters_COPYXCOPY 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_COPYXCOPY") prompt = "a portrait in the style of XCOPY" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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.
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Model tree for glif-loradex-trainer/quitters_COPYXCOPY
Base model
black-forest-labs/FLUX.1-dev