import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/pony", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("AIWorksMD/Vanillaware_XL")
prompt = "score_9,score_8_up,score_7_up,score_6_up,source_anime,<lora:Vanillaware_XL:1>,cowboy_shot,close-up,solo,1girl,from side,from below,wide hips,upper body,expressionless,dark skin,white hair,multicolored hair,short hair,blue eyes,wedding_dress,multicolored dress,cave,mist,glowing,frilled dress,fluffy,head_til,half-closed eyes,hands on chest,long sleeves,"
image = pipe(prompt).images[0]Vanillaware_XL
- Prompt
- score_9,score_8_up,score_7_up,score_6_up,source_anime,<lora:Vanillaware_XL:1>,cowboy_shot,close-up,solo,1girl,from side,from below,wide hips,upper body,expressionless,dark skin,white hair,multicolored hair,short hair,blue eyes,wedding_dress,multicolored dress,cave,mist,glowing,frilled dress,fluffy,head_til,half-closed eyes,hands on chest,long sleeves,
- Negative Prompt
- mosaic censoring,bar censor,censored,source_cartoon,source_pony,source_furry,simple background,cleavage,bare shoulders,
Trigger words
You should use <lora:Vanillaware_XL> 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 AIWorksMD/Vanillaware_XL
Base model
stablediffusionapi/pony