Instructions to use RehoodJT/xu-pie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RehoodJT/xu-pie 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("RehoodJT/xu-pie") prompt = "A futuristic cyberpunk street market at night with neon signs reflecting in rain puddles, featuring a sleek xupie hovering above the crowds." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ RehoodJT/xu-pie

- Prompt
- A futuristic cyberpunk street market at night with neon signs reflecting in rain puddles, featuring a sleek xupie hovering above the crowds.

- Prompt
- A serene, sun-drenched Mediterranean balcony overlooking a turquoise ocean, where a handcrafted xupie rests on a marble table next to a bowl of lemons.

- Prompt
- An epic cinematic shot of a frozen wasteland during a blizzard, showing a colossal, ancient xupie carved from iridescent ice towering over a lone explorer.
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 xupie to invoke the concept.
Samples
"A futuristic cyberpunk street market at night with neon signs reflecting in rain puddles, featuring a sleek xupie hovering above the crowds."
"A serene, sun-drenched Mediterranean balcony overlooking a turquoise ocean, where a handcrafted xupie rests on a marble table next to a bowl of lemons."
"An epic cinematic shot of a frozen wasteland during a blizzard, showing a colossal, ancient xupie carved from iridescent ice towering over a lone explorer."
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("RehoodJT/xu-pie")
image = pipe("A futuristic cyberpunk street market at night with neon signs reflecting in rain puddles, featuring a sleek xupie hovering above the crowds.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for RehoodJT/xu-pie
Base model
krea/Krea-2-Raw

