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manosp
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audio_inversion_cat

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Diffusers
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StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
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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("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda")
pipe.load_textual_inversion("manosp/audio_inversion_cat")

YAML Metadata Error:"base_model" with value "/home/plitsis/text-inv/audioldm-m-full" is not valid. Use a model id from https://hf.co/models.

Textual inversion text2image fine-tuning - manosp/audio_inversion_cat

These are textual inversion adaption weights for /home/plitsis/text-inv/audioldm-m-full. You can find some example images in the following.

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