Instructions to use glif-loradex-trainer/Swap_agrawal14_violet_vectorz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/Swap_agrawal14_violet_vectorz 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/Swap_agrawal14_violet_vectorz") prompt = "A man holding a sign that reads GLIF $wap_violetz" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
violet_vectorz
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user Swap_agrawal14.

- Prompt
- A man holding a sign that reads GLIF $wap_violetz

- Prompt
- Pug demonstrating how to brush your teeth $wap_violetz

- Prompt
- A female silver vampire with sword $wap_violetz

- Prompt
- A group of friends sitting in classroom $wap_violetz

- Prompt
- Mona Lisa and Donald Trump having wine $wap_violetz

- Prompt
- Tiger is baking cookies in jungle $wap_violetz
Trigger words
You should use $wap_violetz 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/Swap_agrawal14_violet_vectorz
Base model
black-forest-labs/FLUX.1-dev