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

- Prompt
- wounded centaur, mythical creature Whale

- Prompt
- ruins of athens, snake Whale

- Prompt
- Cartoon Whale with a cigar in his mouth Whale
Trigger words
You should use Whale 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_Whale
Base model
black-forest-labs/FLUX.1-dev