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("deepalweb/NIPZ_LORA")
prompt = "UNICODE\u0000\u0000w\u0000i\u0000n\u0000t\u0000e\u0000r\u0000,\u0000 \u0000l\u0000a\u0000n\u0000d\u0000s\u0000c\u0000a\u0000p\u0000e\u0000,\u0000 \u0000s\u0000n\u0000o\u0000w\u0000,\u0000 \u0000c\u0000o\u0000l\u0000d\u0000,\u0000 \u0000s\u0000n\u0000e\u0000e\u0000z\u0000i\u0000n\u0000g\u0000,\u0000 \u0000t\u0000r\u0000e\u0000m\u0000b\u0000l\u0000i\u0000n\u0000g\u0000,\u0000 \u0000s\u0000n\u0000o\u0000t\u0000,\u0000 \u0000b\u0000r\u0000e\u0000a\u0000t\u0000h\u0000,\u0000 \u0000r\u0000u\u0000n\u0000n\u0000y\u0000 \u0000n\u0000o\u0000s\u0000e\u0000,\u0000 \u0000o\u0000u\u0000t\u0000d\u0000o\u0000o\u0000r\u0000s\u0000,\u0000 \u0000 \u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000s\u0000o\u0000l\u0000o\u0000,\u0000 \u0000m\u0000i\u0000l\u0000l\u0000a\u0000 \u0000m\u0000a\u0000x\u0000w\u0000e\u0000l\u0000l\u0000,\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000m\u0000i\u0000l\u0000l\u0000a\u0000:\u00001\u0000>\u0000,\u0000 \u0000,\u0000 \u0000h\u0000i\u0000g\u0000h\u0000r\u0000e\u0000s\u0000,\u0000 \u0000a\u0000b\u0000s\u0000u\u0000r\u0000d\u0000r\u0000e\u0000s\u0000,\u0000"
image = pipe(prompt).images[0]NIPZ
- Prompt
- UNICODEwinter, landscape, snow, cold, sneezing, trembling, snot, breath, runny nose, outdoors, 1girl, solo, milla maxwell, <lora:milla:1>, , highres, absurdres,
- Prompt
- UNICODEwinter, landscape, snow, cold, trembling, snot, breath, runny nose, outdoors, 1girl, solo, milla maxwell, <lora:milla:1>, , highres, absurdres,
- Prompt
- UNICODEcherry blossoms, spring, landscape, park, happy, 1girl, solo, milla maxwell, <lora:milla:1>, , highres, absurdres,
- Prompt
- UNICODE1girl, milla maxwell, fighting stance, solo, forest, <lora:milla:1>, , highres, absurdres,
Model description
Trigger words
You should use anime 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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runwayml/stable-diffusion-v1-5