import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("personal1802/11")
prompt = "(1milf, solo, intricate details, chromatic aberration), (realistic),(upper body),blond hair, red eyes, long face, large breast, wide hips, hard thigh, cropped top, leather jacket, wind, city, main street, leaning on a wall, from below, (glow_white_particles:1.1), happy, smile,"
image = pipe(prompt).images[0]kakarot28DColor_colorPrunedx0.7+000A-002x0.3.fp16.safetensors
- Prompt
- (1milf, solo, intricate details, chromatic aberration), (realistic),(upper body),blond hair, red eyes, long face, large breast, wide hips, hard thigh, cropped top, leather jacket, wind, city, main street, leaning on a wall, from below, (glow_white_particles:1.1), happy, smile,
- Negative Prompt
- (worst quality, low quality:1.4), EasyNegative, badhandv4,
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Download them in the Files & versions tab.
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runwayml/stable-diffusion-v1-5