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

- Prompt
- wounded centaur, mythical creature Wolf

- Prompt
- ruins of athens, wolf Wolf

- Prompt
- Blue full moon ambience, wolf Wolf

- Prompt
- furry wolf howling at the blue full moon
Trigger words
You should use Wolf 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/Scrilla_Wolfpack
Base model
black-forest-labs/FLUX.1-dev