Instructions to use walkis/Afrobeat_Urban_v1_ACESTEP_V1.5SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use walkis/Afrobeat_Urban_v1_ACESTEP_V1.5SFT with Diffusers:
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_lora_weights("walkis/Afrobeat_Urban_v1_ACESTEP_V1.5SFT") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
YAML Metadata Error:"base_model" is not allowed to be empty
AfroBeat_Urban_v1 ACE STEP LORA

- Prompt
- -
Model description
style:
Walki-bass, afrobeat, Sub-bass, synths melodic, arpegiated voice, autotune, 16 bar melodies emotive and profesional melodies progressions vocals.
Activator: Walki-bass
Modelado entrenado con "Side-Step"
https://github.com/koda-dernet/Side-Step
Agradcimiento especial a: --------> iRedsneth
Trigger words
You should use Walki-bass to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
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