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
rorroq_Flux

- 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
Model description
It's my model
Trigger words
You should use rorroq to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Rorroq/rorroqflux1
Base model
black-forest-labs/FLUX.1-dev