Instructions to use paulsizemore/lido-e14-lamp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use paulsizemore/lido-e14-lamp 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("paulsizemore/lido-e14-lamp") prompt = "A futuristic cyberpunk apartment in Tokyo with neon rain streaking the windows, featuring a sleek lido-e14-lamp casting a cool violet glow on a holographic desk." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ paulsizemore/lido-e14-lamp

- Prompt
- A futuristic cyberpunk apartment in Tokyo with neon rain streaking the windows, featuring a sleek lido-e14-lamp casting a cool violet glow on a holographic desk.

- Prompt
- A cozy, rustic mountain cabin with a roaring fireplace and wool blankets, where a warm lido-e14-lamp sits atop a weathered oak side table.

- Prompt
- A minimalist art gallery with stark white walls and polished concrete floors, showcasing a single lido-e14-lamp as a sculptural centerpiece under a bright spotlight.
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 lido-e14-lamp to invoke the concept.
Samples
"A futuristic cyberpunk apartment in Tokyo with neon rain streaking the windows, featuring a sleek lido-e14-lamp casting a cool violet glow on a holographic desk."
"A cozy, rustic mountain cabin with a roaring fireplace and wool blankets, where a warm lido-e14-lamp sits atop a weathered oak side table."
"A minimalist art gallery with stark white walls and polished concrete floors, showcasing a single lido-e14-lamp as a sculptural centerpiece under a bright spotlight."
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("paulsizemore/lido-e14-lamp")
image = pipe("A futuristic cyberpunk apartment in Tokyo with neon rain streaking the windows, featuring a sleek lido-e14-lamp casting a cool violet glow on a holographic desk.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for paulsizemore/lido-e14-lamp
Base model
krea/Krea-2-Raw

