import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("brandon12333/Otis__RVC_v2_")
prompt = "otis"
image = pipe(prompt).images[0]otis
- Prompt
- otis
- Negative Prompt
- otis
Model description
<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65540920d13e8d851dcd3863/QIneJA6nuKzodxMXa6yDP.mpga"></audio> <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65540920d13e8d851dcd3863/jUctCZvqn7-cLg8AJZTk0.mpga"></audio> <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65540920d13e8d851dcd3863/6ReTPbEIBgRyfFkT3vuqJ.mpga"></audio> <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65540920d13e8d851dcd3863/81fqRyDLnZsinkpQSvKQ4.mpga"></audio>
Trigger words
You should use otis to trigger the image generation.
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Base model
stabilityai/stable-diffusion-xl-base-1.0