import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("LyliaEngine/Pony_Diffusion_V6_XL", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("uncropped/kalani")
prompt = "zPDXL3, <lora:kalani-hilliker:1>k4l4ni, brown hair, long hair, lips, breasts, large breasts, sweater, autumn leaves, sitting, cafe, coffee, portrait, outdoors, lamppost, grin"
image = pipe(prompt).images[0]kalani-hilliker
- Prompt
- zPDXL3, <lora:kalani-hilliker:1>k4l4ni, brown hair, long hair, lips, breasts, large breasts, sweater, autumn leaves, sitting, cafe, coffee, portrait, outdoors, lamppost, grin
- Negative Prompt
- NEGATIVE_HANDS, web address, watermark,
- Prompt
- zPDXL3, <lora:kalani-hilliker:1>k4l4ni, brown hair, long hair, lips, breasts, large breasts, red sweater, autumn leaves, sitting, park bench, portrait,
- Negative Prompt
- NEGATIVE_HANDS, web address, watermark,
- Prompt
- zPDXL3, <lora:kalani-hilliker:1>k4l4ni, brown hair, long hair, lips, breasts, large breasts, wedding dress, sitting, grin, cathedral, rim lighting, portrait,
- Negative Prompt
- NEGATIVE_HANDS, web address, watermark,
Trigger words
You should use k4l4ni to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for uncropped/kalani
Base model
Bakanayatsu/Pony-Diffusion-V6-XL-for-Anime Adapter
LyliaEngine/Pony_Diffusion_V6_XL