Instructions to use victormustar/contemporarink with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use victormustar/contemporarink 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("victormustar/contemporarink") prompt = "futuristic city in style of ECACX" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
inky colors

- Prompt
- futuristic city in style of ECACX

- Prompt
- Beautiful city of Tokyo in style of ECACX

- Prompt
- A shop in the jungle in the style of ECACX

- Prompt
- ninja in the style of ECACX, black and red colors

- Prompt
- flying cloud city in style of ECACX
Model description
Trigger words
You should use ECACX 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.
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Model tree for victormustar/contemporarink
Base model
black-forest-labs/FLUX.1-dev