metadata
base_model: krea/Krea-2-Raw
tags:
- text-to-image
- diffusers
- lora
- krea2
- template:sd-lora
license: apache-2.0
instance_prompt: T355A woman
widget:
- text: >-
A cinematic shot of T355A woman wearing futuristic neon armor, standing
amidst the rain-slicked skyscrapers of a cyberpunk Tokyo at night.
output:
url: sample_0.png
- text: >-
A soft, ethereal oil painting of T355A woman in a flowing white linen
dress, wandering through a sun-drenched meadow of wild lavender.
output:
url: sample_1.png
- text: >-
A high-detail macro photograph of T355A woman as a deep-sea diver,
surrounded by bioluminescent jellyfish and glowing coral reefs in the
midnight zone.
output:
url: sample_2.png
Krea 2 LoRA — aimalias/t355a-retry
- Prompt
- A cinematic shot of T355A woman wearing futuristic neon armor, standing amidst the rain-slicked skyscrapers of a cyberpunk Tokyo at night.
- Prompt
- A soft, ethereal oil painting of T355A woman in a flowing white linen dress, wandering through a sun-drenched meadow of wild lavender.
- Prompt
- A high-detail macro photograph of T355A woman as a deep-sea diver, surrounded by bioluminescent jellyfish and glowing coral reefs in the midnight zone.
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 T355A woman to invoke the concept.
Samples
"A cinematic shot of T355A woman wearing futuristic neon armor, standing amidst the rain-slicked skyscrapers of a cyberpunk Tokyo at night."
"A soft, ethereal oil painting of T355A woman in a flowing white linen dress, wandering through a sun-drenched meadow of wild lavender."
"A high-detail macro photograph of T355A woman as a deep-sea diver, surrounded by bioluminescent jellyfish and glowing coral reefs in the midnight zone."
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("aimalias/t355a-retry")
image = pipe("A cinematic shot of T355A woman wearing futuristic neon armor, standing amidst the rain-slicked skyscrapers of a cyberpunk Tokyo at night.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")