Instructions to use funseshon/trapped-bj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use funseshon/trapped-bj 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("funseshon/trapped-bj") prompt = "A majestic snow leopard leaping across a jagged Himalayan cliffside during a fierce blizzard, crystalline ice particles frozen in mid-air. TRAPPED_BJ" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ funseshon/trapped-bj

- Prompt
- A majestic snow leopard leaping across a jagged Himalayan cliffside during a fierce blizzard, crystalline ice particles frozen in mid-air. TRAPPED_BJ

- Prompt
- A sleek, neon-lit cyberpunk hovercar speeding down a rain-slicked Tokyo highway at midnight, reflecting vibrant magenta and teal lights. TRAPPED_BJ

- Prompt
- An elderly clockmaker meticulously assembling a golden pocket watch in a dusty, sun-drenched attic filled with floating motes of light. TRAPPED_BJ
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 phrase TRAPPED_BJ to invoke the concept.
Samples
"A majestic snow leopard leaping across a jagged Himalayan cliffside during a fierce blizzard, crystalline ice particles frozen in mid-air. TRAPPED_BJ"
"A sleek, neon-lit cyberpunk hovercar speeding down a rain-slicked Tokyo highway at midnight, reflecting vibrant magenta and teal lights. TRAPPED_BJ"
"An elderly clockmaker meticulously assembling a golden pocket watch in a dusty, sun-drenched attic filled with floating motes of light. TRAPPED_BJ"
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("funseshon/trapped-bj")
image = pipe("A majestic snow leopard leaping across a jagged Himalayan cliffside during a fierce blizzard, crystalline ice particles frozen in mid-air. TRAPPED_BJ", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for funseshon/trapped-bj
Base model
krea/Krea-2-Raw

