Instructions to use Jonjew/FLUXNaturepunk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/FLUXNaturepunk 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("Jonjew/FLUXNaturepunk") prompt = "A detailed digital artwork titled\"Naturepunk,\" featuring a woman in an intricate plant-cyberpunk style. Her body is adorned with bioluminescent vines, metallic leaves, and cybernetic tattoos that glow softly in shades of green and blue. Her hair flows like a cascade of neon-lit ivy, interwoven with delicate wires and tiny LEDs. She stands confidently in a misty, futuristic cityscape, holding a glowing sign that reads 'Naturepunk' in bold, stylized letters. Her outfit combines organic materials with sleek, high-tech elements, and patches of moss grow on her shoulders and arms, symbolizing the fusion of nature and technology. Behind her, towering buildings covered in creeping vines and flickering holograms fade into the twilight. bo-naturepunk, greenpunk, naturecyberpunk<lora:FLUX Naturepunk\\bo-naturepunk-000012.safetensors:1.0:1.0>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K