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("misapapa71/model-airi-krea2")
prompt = "A high-fashion editorial shot of model-Airi-krea2 wearing a holographic gown, standing amidst a neon-lit futuristic Tokyo cityscape at midnight."
image = pipe(prompt).images[0]Krea 2 LoRA — misapapa71/model-airi-krea2
- Prompt
- A high-fashion editorial shot of model-Airi-krea2 wearing a holographic gown, standing amidst a neon-lit futuristic Tokyo cityscape at midnight.
- Prompt
- A serene cinematic portrait of model-Airi-krea2 dressed in rustic linen, foraging for wildflowers in a sun-drenched Tuscan valley during golden hour.
- Prompt
- An epic fantasy scene featuring model-Airi-krea2 as a celestial warrior in ornate gold armor, floating within a swirling cosmic nebula of violet and stardust.
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 model-Airi-krea2 to invoke the concept.
Samples
"A high-fashion editorial shot of model-Airi-krea2 wearing a holographic gown, standing amidst a neon-lit futuristic Tokyo cityscape at midnight."
"A serene cinematic portrait of model-Airi-krea2 dressed in rustic linen, foraging for wildflowers in a sun-drenched Tuscan valley during golden hour."
"An epic fantasy scene featuring model-Airi-krea2 as a celestial warrior in ornate gold armor, floating within a swirling cosmic nebula of violet and stardust."
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("misapapa71/model-airi-krea2")
image = pipe("A high-fashion editorial shot of model-Airi-krea2 wearing a holographic gown, standing amidst a neon-lit futuristic Tokyo cityscape at midnight.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for misapapa71/model-airi-krea2
Base model
krea/Krea-2-Raw