Instructions to use feliperosasgp/r0n1n with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use feliperosasgp/r0n1n 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("feliperosasgp/r0n1n") prompt = "R0N1N motorcycle speeding through a neon-lit cyberpunk city at night, leaving a trail of glowing energy. The rider wears a sleek black armored suit with a reflective visor. The scene is intense with motion blur and reflections on the wet pavement." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
r0n1n
Model trained with AI Toolkit by Ostris

- Prompt
- R0N1N motorcycle speeding through a neon-lit cyberpunk city at night, leaving a trail of glowing energy. The rider wears a sleek black armored suit with a reflective visor. The scene is intense with motion blur and reflections on the wet pavement.

- Prompt
- A highly detailed studio shot of the R0N1N motorcycle, showcasing its aggressive design, advanced aerodynamics, and futuristic LED lighting. The bike is parked in a dimly lit showroom with dramatic lighting that highlights its contours and mechanical details

- Prompt
- R0N1N motorcycle navigating through a desert wasteland, kicking up dust as it maneuvers over rocky terrain. The rider, wearing tactical gear, leans forward, gripping the handlebars tightly. The sky is filled with an orange sunset, casting long shadows.
Trigger words
You should use r0n1n to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('feliperosasgp/r0n1n', weight_name='r0n1n.safetensors')
image = pipeline('R0N1N motorcycle speeding through a neon-lit cyberpunk city at night, leaving a trail of glowing energy. The rider wears a sleek black armored suit with a reflective visor. The scene is intense with motion blur and reflections on the wet pavement.').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
- Downloads last month
- 6
Model tree for feliperosasgp/r0n1n
Base model
black-forest-labs/FLUX.1-dev