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

- Prompt
- wounded centaur, mythical creature Froggy

- Prompt
- Whimsical Landscape, Frog Froggy

- Prompt
- Animated Frog character Froggy
Trigger words
You should use Froggy 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_Froggy
Base model
black-forest-labs/FLUX.1-dev