import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("xinsir/controlnet-union-sdxl-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("MarkBW/storm-pony-xl")
prompt = "score_9, score_8_up, score_7_up, <lora:st0rm1:1> st0rm1, 1girl, jewelry, earrings, superhero costume,glowing eyes,no pupils,dynamic angle, dynamic pose"
image = pipe(prompt).images[0]storm-pony-xl
.jpeg)
- Prompt
- score_9, score_8_up, score_7_up, <lora:st0rm1:1> st0rm1, 1girl, jewelry, earrings, superhero costume,glowing eyes,no pupils,dynamic angle, dynamic pose
- Negative Prompt
- score_6, score_5, score_4, pony, gaping, muscular, censored, child, kid, chibi,3d, monochrome, watermark, text,
Model description
Storm from the series X-Men 97.
By: pmdp
Trigger words
You should use st0rm1 to trigger the image generation.
You should use 1girl to trigger the image generation.
You should use jewelry to trigger the image generation.
You should use earrings to trigger the image generation.
You should use superhero costume to trigger the image generation.
You should use glowing eyes to trigger the image generation.
You should use no pupils to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 3
Model tree for MarkBW/storm-pony-xl
Base model
xinsir/controlnet-union-sdxl-1.0