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("MarkBW/matii-marronii")
prompt = "UNICODE\u0000\u0000D\u0000E\u0000N\u0000_\u0000m\u0000a\u0000t\u0000i\u0000i\u0000_\u0000m\u0000a\u0000r\u0000r\u0000o\u0000n\u0000i\u0000i\u0000,\u0000"
image = pipe(prompt).images[0]matii-marronii
- Prompt
- UNICODEDEN_matii_marronii,
Model description
By Denche354
Trigger words
You should use DEN_matii_marronii to trigger the image generation.
Download model
Weights for this model are available in PyTorch format.
Download them in the Files & versions tab.
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Model tree for MarkBW/matii-marronii
Base model
runwayml/stable-diffusion-v1-5