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("Haruka041/Coruscant")
prompt = "A grinning man with short black hair and bangs that frame his face and penguin-themed earmuffs crouches in the snow, wearing a large white hooded jacket and dark pants while holding a snowball and making a peace sign beside a polar bear-shaped snowman wearing a plaid scarf and an orange nose. The background features a red cylindrical post and snowy ground under cold, diffuse lighting, and the image displays smooth surfaces with thin hair strands and cold blue-toned shadows from a high camera angle. Soft blended shading, rim lighting. Detailed high quality illustration. Detailed eyes. Coruscant style "
image = pipe(prompt).images[0]Coruscant
- Prompt
- A grinning man with short black hair and bangs that frame his face and penguin-themed earmuffs crouches in the snow, wearing a large white hooded jacket and dark pants while holding a snowball and making a peace sign beside a polar bear-shaped snowman wearing a plaid scarf and an orange nose. The background features a red cylindrical post and snowy ground under cold, diffuse lighting, and the image displays smooth surfaces with thin hair strands and cold blue-toned shadows from a high camera angle. Soft blended shading, rim lighting. Detailed high quality illustration. Detailed eyes. Coruscant style
Trigger words
You should use @Corusc4nt to trigger the image generation.
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