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

- Prompt
- wounded centaur, mythical creature webcore

- Prompt
- ruins of athens, snake webcore

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