import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("zai-org/GLM-Image", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("lenny666/natalie")
prompt = "UNICODE\u0000g\u0000a\u0000m\u0000i\u0000n\u0000g\u0000 \u0000c\u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000n\u0000a\u0000t\u0000a\u0000l\u0000i\u0000e\u0000_\u0000g\u0000a\u0000m\u0000e\u0000r\u0000,\u0000 \u0000w\u0000a\u0000r\u0000m\u0000 \u0000a\u0000m\u0000b\u0000i\u0000e\u0000n\u0000t\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000i\u0000n\u0000g\u0000,\u0000 \u0000s\u0000h\u0000y\u0000 \u0000g\u0000a\u0000m\u0000e\u0000r\u0000 \u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000g\u0000a\u0000m\u0000i\u0000n\u0000g\u0000 \u0000h\u0000e\u0000a\u0000d\u0000s\u0000e\u0000t\u0000,\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000 \u0000o\u0000f\u0000 \u0000n\u0000a\u0000t\u0000a\u0000l\u0000i\u0000e\u0000_\u0000g\u0000a\u0000m\u0000e\u0000r\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000w\u0000e\u0000a\u0000r\u0000i\u0000n\u0000g\u0000 \u0000b\u0000i\u0000k\u0000i\u0000n\u0000i\u0000,\u0000 \u0000b\u0000e\u0000d\u0000r\u0000o\u0000o\u0000m\u0000"
image = pipe(prompt).images[0]Natalie
- Prompt
- UNICODEgaming chair, natalie_gamer, warm ambient lighting, shy gamer girl, gaming headset, photo of natalie_gamergirl, wearing bikini, bedroom
Trigger words
You should use Natalie_gamergirl to trigger the image generation.
Download model
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Model tree for lenny666/natalie
Base model
zai-org/GLM-Image