Instructions to use mju75/klara-lora-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mju75/klara-lora-weights 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("mju75/klara-lora-weights") prompt = "A futuristic cyberpunk street in Tokyo drenched in neon rain, featuring kl4ra as a holographic entity floating above a crowded intersection." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA — mju75/klara-lora-weights

- Prompt
- A futuristic cyberpunk street in Tokyo drenched in neon rain, featuring kl4ra as a holographic entity floating above a crowded intersection.

- Prompt
- A serene, sun-drenched Mediterranean garden with white marble statues, where kl4ra is lounging in a linen dress reading an ancient scroll.

- Prompt
- A gritty, cinematic wide shot of a desolate Martian colony, showing kl4ra wearing a weathered spacesuit while staring at a distant dust storm.
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 kl4ra to invoke the concept.
Samples
"A futuristic cyberpunk street in Tokyo drenched in neon rain, featuring kl4ra as a holographic entity floating above a crowded intersection."
"A serene, sun-drenched Mediterranean garden with white marble statues, where kl4ra is lounging in a linen dress reading an ancient scroll."
"A gritty, cinematic wide shot of a desolate Martian colony, showing kl4ra wearing a weathered spacesuit while staring at a distant dust storm."
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("mju75/klara-lora-weights")
image = pipe("A futuristic cyberpunk street in Tokyo drenched in neon rain, featuring kl4ra as a holographic entity floating above a crowded intersection.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for mju75/klara-lora-weights
Base model
krea/Krea-2-Raw

