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---
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

<Gallery />

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

![sample](./sample_0.png)

> *"A cinematic shot of T355A woman wearing futuristic neon armor, standing amidst the rain-slicked skyscrapers of a cyberpunk Tokyo at night."*

![sample](./sample_1.png)

> *"A soft, ethereal oil painting of T355A woman in a flowing white linen dress, wandering through a sun-drenched meadow of wild lavender."*

![sample](./sample_2.png)

> *"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

```py
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")
```

	---
	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

	<Gallery />

	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

	![sample](./sample_0.png)

	> "A cinematic shot of T355A woman wearing futuristic neon armor, standing amidst the rain-slicked skyscrapers of a cyberpunk Tokyo at night."

	![sample](./sample_1.png)

	> "A soft, ethereal oil painting of T355A woman in a flowing white linen dress, wandering through a sun-drenched meadow of wild lavender."

	![sample](./sample_2.png)

	> "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

	```py
	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")
	```