Text-to-Image
Diffusers
Trained with AutoTrain
stable-diffusion
stable-diffusion-diffusers
lora
template:sd-lora
Instructions to use Danhearn/spectrogram with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Danhearn/spectrogram with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Danhearn/spectrogram") prompt = "mel-spectrograms amen breakbeats" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 983ad3d31feeaef0a2b7ba1bef8e10866460693e4328b93c489d7898fd14a6bd
- Size of remote file:
- 6.4 MB
- SHA256:
- edce3f148322019921dda93748a4b9449a7ebac418a79dd0425a2ecac337daed
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