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License
cc-by-nc-sa-4.0
Frameworks
diffusers
Hardware-aware snippets
Runtime-specific quick starts for cvssp/audioldm2-large. Detected hardware: No explicit hardware metadata.
Task: text-generationDiffusers
NVIDIA CUDA path
Best default for NVIDIA GPUs and hosted accelerator nodes.
pip install torch diffusers transformers accelerate
python - <<'PY'
import torch
from diffusers import DiffusionPipeline
model_id = "cvssp/audioldm2-large"
pipe = DiffusionPipeline.from_pretrained(
model_id,
torch_dtype=torch.float16,
)
pipe = pipe.to("cuda")
image = pipe("A clean product hero image, studio lighting").images[0]
image.save("inferix-output.png")
PYModel lineage
1 reposBase model
cvssp/audioldm2-large
Finetuned
1audioldm2-largeselected
Quantizations
0No quantization variants detected.
Model info
Namespace
cvssp
Visibility
public
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License: cc-by-nc-sa-4.0
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Base model
Not specifiedTrained on datasets
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Tags
importedhuggingfaceminiodiffuserssafetensorsarxiv:2308.05734license:cc-by-nc-sa-4.0diffusers:AudioLDM2Pipelineregion:us