import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Linaqruf/animagine-xl-3.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("MomlessTomato/karin-asaka")
prompt = "high quality, defined pupil, looking at viewer, rounded pupil, defined iris, (soft iris:1.2), torso shadow,"
image = pipe(prompt).images[0]Karin Asaka
- Prompt
- high quality, defined pupil, looking at viewer, rounded pupil, defined iris, (soft iris:1.2), torso shadow,
- Negative Prompt
- bad_anatomy, deformation, amputation, deformity, deformed_nipples, duplicated_torso, deformed_torso, long_torso, large_torso, unproportioned_torso, (deformed_pussy:1.2), (deformed_hands:1.2), unproportioned_eyes, unproportioned_head, small_head, duplicated_nose, big_nose, fusioned_clothes, fusioned_arms, undefined_limbs, divided_pussy, red_pussy, duplicated_pussy, deformed_anus, deformed_pussy,
Model description
This model was trained to generate high quality images based on SIFAS cards.
To achieve better quality, you should be using hako-mikan's regional prompter, along with Latent Mode, which modifies the way Stable Diffusion isolates the LoRA resulting in a significant improvement.
Trigger words
You should use id_karin_asaka 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
- 32
Model tree for MomlessTomato/karin-asaka
Base model
stabilityai/stable-diffusion-xl-base-1.0 Finetuned
Linaqruf/animagine-xl-2.0 Finetuned
cagliostrolab/animagine-xl-3.0