Instructions to use glif-loradex-trainer/fabian3000_optimus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/fabian3000_optimus 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/fabian3000_optimus") prompt = "pixar render of optimus" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
optimus
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user fabian3000.

- Prompt
- pixar render of optimus

- Prompt
- photograph of optimus riding a cow and wearing a cowboy hat

- Prompt
- pixel art of optimus
Trigger words
You should use optimus 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/fabian3000_optimus
Base model
black-forest-labs/FLUX.1-dev