How to use from the
Use from the
Diffusers library
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", torch_dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("IronBloodhound/riftveil-style")

prompt = "A golden labrador running across a sunny farm, a pickup truck on a dusty road far behind, riftveilstyle"
image = pipe(prompt).images[0]

Krea 2 LoRA โ€” IronBloodhound/riftveil-style

Prompt
A golden labrador running across a sunny farm, a pickup truck on a dusty road far behind, riftveilstyle
Prompt
A fishing boat moored in a narrow canal between tall old buildings, riftveilstyle
Prompt
A deer grazing in a dense forest with the bright sun overhead, riftveilstyle

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 riftveilstyle to invoke the concept.

Samples

sample

"A golden labrador running across a sunny farm, a pickup truck on a dusty road far behind, riftveilstyle"

sample

"A fishing boat moored in a narrow canal between tall old buildings, riftveilstyle"

sample

"A deer grazing in a dense forest with the bright sun overhead, riftveilstyle"

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("IronBloodhound/riftveil-style")
image = pipe("A golden labrador running across a sunny farm, a pickup truck on a dusty road far behind, riftveilstyle", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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