Instructions to use glif-loradex-trainer/quitters_schmlorps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/quitters_schmlorps 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_schmlorps") prompt = "wounded centaur, mythical creature schmlorps" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
schmlorps
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user quitters.

- Prompt
- wounded centaur, mythical creature schmlorps

- Prompt
- ruins of athens, snake schmlorps

- Prompt
- silver vampire sword schmlorps
Trigger words
You should use schmlorps 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_schmlorps
Base model
black-forest-labs/FLUX.1-dev