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
AutoTrain LoRA DreamBooth - Danhearn/spectrogram
These are LoRA adaption weights for stabilityai/stable-diffusion-2-1. The weights were trained on mel-spectrograms amen breakbeats using DreamBooth. LoRA for the text encoder was enabled: True.
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Model tree for Danhearn/spectrogram
Base model
stabilityai/stable-diffusion-2-1