import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("AbhaySatpute/demon1")
prompt = "UNICODE\u0000\u0000c\u0000i\u0000n\u0000e\u0000m\u0000a\u0000t\u0000i\u0000c\u0000 \u0000f\u0000i\u0000l\u0000m\u0000 \u0000s\u0000t\u0000i\u0000l\u0000l\u0000 \u0000o\u0000f\u0000 \u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000N\u0000o\u0000s\u0000f\u0000e\u0000r\u0000a\u0000t\u0000u\u0000:\u00001\u0000>\u0000"
image = pipe(prompt).images[0]demon1
- Prompt
- UNICODEcinematic film still of <lora:Nosferatu:1>
Model description
Trigger word - Nosferatu
Trigger words
You should use Nosferatu 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 AbhaySatpute/demon1
Base model
black-forest-labs/FLUX.1-dev