import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Turbo", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Rand000mGuy/kitSO")
prompt = "A neon-lit night portrait of a young woman seen from behind while leaning against a low exterior ledge beneath a large glowing motel sign. Her silhouette is outlined in teal-blue light while oversized white letters from the sign fill the left side of the frame, partially cropped into abstract typography. A short dark dress follows the line of her body as she looks outward into the night rather than toward the camera. Deep shadow, saturated cyan light, strong negative space, low-light grain, and lonely roadside-noir editorial atmosphere., she is looking at the viewer, <lora:kit_krea2_epoch_05:1>"
image = pipe(prompt).images[0]kitSO
- Prompt
- A neon-lit night portrait of a young woman seen from behind while leaning against a low exterior ledge beneath a large glowing motel sign. Her silhouette is outlined in teal-blue light while oversized white letters from the sign fill the left side of the frame, partially cropped into abstract typography. A short dark dress follows the line of her body as she looks outward into the night rather than toward the camera. Deep shadow, saturated cyan light, strong negative space, low-light grain, and lonely roadside-noir editorial atmosphere., she is looking at the viewer, <lora:kit_krea2_epoch_05:1>
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