Instructions to use Lexagerg/billion-objects-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lexagerg/billion-objects-v2 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("Lexagerg/billion-objects-v2") prompt = "The image shows a brown leather wallet with a button clasp, containing green paper bills sticking out, symbolizing money, income, or finances, billion" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Billion_objects_V2
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- The image shows a brown leather wallet with a button clasp, containing green paper bills sticking out, symbolizing money, income, or finances, billion
Trigger words
You should use billion 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 Lexagerg/billion-objects-v2
Base model
black-forest-labs/FLUX.1-dev