import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/anylora-checkpoint", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("dolainu/Nyanners_lora_Vtuber")
prompt = "<lora:NyanV0.1:0.8>, nyanners1st, medium hair, purple eyes, 1girl, sitting"
image = pipe(prompt).images[0]Nyanners
- Prompt
- <lora:NyanV0.1:0.8>, nyanners1st, medium hair, purple eyes, 1girl, sitting
- Negative Prompt
- easynegative
- Prompt
- <lora:NyanV0.1:0.8>, nyanners2st, long hair, purple eyes, 1girl, sitting, nude, bed, <lora:Smooth belly_v1.3.2:0.8>, petite, nsfw
- Negative Prompt
- easynegative
- Prompt
- <lora:NyanV0.1:0.87>, nyanners2st, long hair, purple eyes, 1girl, sitting, bed, <lora:Smooth belly_v1.3.2:0.8>, petite
- Negative Prompt
- easynegative
- Prompt
- <lora:NyanV0.1:0.87>, nyanners1st, medium hair, purple eyes, 1girl, sitting, bed, <lora:Smooth belly_v1.3.2:0.8>, petite
- Negative Prompt
- easynegative
Model description
TESTED AT 0.87 STRENGTH
Prompts:
short hair ver.: "nyanners1st, medium hair, purple eyes"
long hair ver.: "nyanners2st, long hair, purple eyes"
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 dolainu/Nyanners_lora_Vtuber
Base model
stablediffusionapi/anylora-checkpoint