Instructions to use NeuralGL/newbond with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NeuralGL/newbond 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("NeuralGL/newbond") prompt = "newbond man, wearing a suit, photoshoot, aesthetic, closeup" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
newbond
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- newbond man, wearing a suit, photoshoot, aesthetic, closeup

- Prompt
- Newbond man wears sunglasses and summer beach shirt, evening Los Angeles, Vice City, extreme closeup, front view, bokeh, looks cool, wearing beach shirt
Trigger words
You should use newbond to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
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Model tree for NeuralGL/newbond
Base model
black-forest-labs/FLUX.1-dev