Instructions to use Samo629/cyberasset-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Samo629/cyberasset-lora 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("Samo629/cyberasset-lora") prompt = "cyberasset" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
cyberasset lora
Model description
napr. „Isometric cyberpunk building assets, floor-count controllable"
Trigger words
You should use cyberasset to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-lora-fast-training.
- Downloads last month
- 12
Model tree for Samo629/cyberasset-lora
Base model
black-forest-labs/FLUX.1-dev