import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Laxhar/noobai-XL-Vpred-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("MomlessTomato/shioriko-mifune")
prompt = "-"
image = pipe(prompt).images[0]Shioriko Mifune
- Prompt
- -
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_shioriko_mifune 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 MomlessTomato/shioriko-mifune
Base model
Laxhar/noobai-XL-1.0 Finetuned
Laxhar/noobai-XL-Vpred-0.5 Finetuned
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Laxhar/noobai-XL-Vpred-0.65 Finetuned
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Laxhar/noobai-XL-Vpred-1.0