Instructions to use tarn59/psychedelic_funk_ace_step with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tarn59/psychedelic_funk_ace_step with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ACE-Step/ACE-Step-v1-3.5B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("tarn59/psychedelic_funk_ace_step") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 940 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/V5Y103ATAJMPHQCW5XCH8AXAJ0.jpeg
text: '-'
base_model: ACE-Step/ACE-Step-v1-3.5B
instance_prompt: Psychedelic
license: apache-2.0
---
# Psychedelic Funk
<Gallery />
## Model description
Psychedelic Rock/Funk lora for ACE-Step.
Usage
Set lora strength between 1-2. Granularity Scale = 25. Steps = 100 (you can play around with all these values, these are what worked best for me)
Example Prompts:
Psychedelic, Relaxing, Ambient, Funk, Calm, Electric Bass, Drums, Electric Guitar, Synthesizer, Distortion
Psychedelic, Funk, Calm, Relaxing, Electric Bass, Drums, Electric Guitar, Synthesizer, Distortion, Electric Piano
## Trigger words
You should use `Psychedelic` to trigger the image generation.
## Download model
[Download](/tarn59/psychedelic_funk_ace_step/tree/main) them in the Files & versions tab.
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