metadata
base_model: krea/Krea-2-Raw
tags:
- text-to-image
- diffusers
- lora
- krea2
- template:sd-lora
license: apache-2.0
instance_prompt: cindycfr11
widget:
- text: >-
A golden labrador running across a sunny farm, a pickup truck on a dusty
road far behind, cindycfr11
output:
url: sample_0.png
- text: >-
A fishing boat moored in a narrow canal between tall old buildings,
cindycfr11
output:
url: sample_1.png
- text: A deer grazing in a dense forest with the bright sun overhead, cindycfr11
output:
url: sample_2.png
Krea 2 LoRA — dekes1/cindycfr13
- Prompt
- A golden labrador running across a sunny farm, a pickup truck on a dusty road far behind, cindycfr11
- Prompt
- A fishing boat moored in a narrow canal between tall old buildings, cindycfr11
- Prompt
- A deer grazing in a dense forest with the bright sun overhead, cindycfr11
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 cindycfr11 to invoke the concept.
Samples
"A golden labrador running across a sunny farm, a pickup truck on a dusty road far behind, cindycfr11"
"A fishing boat moored in a narrow canal between tall old buildings, cindycfr11"
"A deer grazing in a dense forest with the bright sun overhead, cindycfr11"
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("dekes1/cindycfr13")
image = pipe("A golden labrador running across a sunny farm, a pickup truck on a dusty road far behind, cindycfr11", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")