Instructions to use Jonjew/DPCyberFantasyFusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/DPCyberFantasyFusion 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/DPCyberFantasyFusion") prompt = "Enhances images with a vibrant cyber-fantasy style, blending futuristic aesthetics with intricate details and traditional Japanese influences trigger: cyberFantasy art style Strength: 0.5-1.0, look for the sweet spot uploaded images rendered with shuttle-3 model you can add it to any prompt, this is the base prompt used for the uploaded images, just change your scene description: #sceneDescription, Vibrant cyber-fantasy with intricate details, bold outlines, and a fusion of futuristic and traditional Japanese aesthetics. Smooth gradients, high contrast lighting, semi-realistic yet stylized rendering" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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