Instructions to use Rorroq/rorroqflux1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rorroq/rorroqflux1 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("Rorroq/rorroqflux1") prompt = "a photo of a man rorroq 49 year old, surrounded by energy sparks <lora:rorroq_Flux:1> <lora:Neon_Cyberpunk_Splash_Art_FLUX:0.8> mad-cbrpnksplshrt paint splashes outrun " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#1 opened almost 2 years ago
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Rorroq