How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("sr5434/SDXL-v1.0-sfx-step-800", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

SDXL 1.0 finetunes on vucinatim/spectrogram-captions for 89 epochs(800 steps). It generates spectrograms for simple sounds. It currently does not produce very good sound effects, but I will train the model for longer in the future.

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Dataset used to train sr5434/SDXL-v1.0-sfx-step-800

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