Instructions to use martialmedia/rb-homeowner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use martialmedia/rb-homeowner with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("martialmedia/rb-homeowner") prompt = "A cinematic wide shot of an rbhomeowner man standing in a futuristic neon-lit cyberpunk city, wearing a holographic raincoat under a pouring rain." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ martialmedia/rb-homeowner

- Prompt
- A cinematic wide shot of an rbhomeowner man standing in a futuristic neon-lit cyberpunk city, wearing a holographic raincoat under a pouring rain.

- Prompt
- A serene oil painting of an rbhomeowner man gardening in a sun-drenched Tuscan vineyard with rolling hills and olive trees in the background.

- Prompt
- An epic fantasy scene featuring an rbhomeowner man clad in ornate golden armor, standing atop a snowy mountain peak facing a massive sleeping dragon.
A DreamBooth-LoRA for Krea 2, trained on Krea 2 RAW and shown on Krea 2 Turbo. The samples below were generated with this LoRA on Turbo (8 steps).
Trigger
Use the token rbhomeowner man to invoke the concept.
Samples
"A cinematic wide shot of an rbhomeowner man standing in a futuristic neon-lit cyberpunk city, wearing a holographic raincoat under a pouring rain."
"A serene oil painting of an rbhomeowner man gardening in a sun-drenched Tuscan vineyard with rolling hills and olive trees in the background."
"An epic fantasy scene featuring an rbhomeowner man clad in ornate golden armor, standing atop a snowy mountain peak facing a massive sleeping dragon."
Use it with diffusers
import torch
from diffusers import Krea2Pipeline
pipe = Krea2Pipeline.from_pretrained("krea/Krea-2-Turbo", torch_dtype=torch.bfloat16).to("cuda")
pipe.load_lora_weights("martialmedia/rb-homeowner")
image = pipe("A cinematic wide shot of an rbhomeowner man standing in a futuristic neon-lit cyberpunk city, wearing a holographic raincoat under a pouring rain.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
- Downloads last month
- 3
Model tree for martialmedia/rb-homeowner
Base model
krea/Krea-2-Raw

