Text-to-Audio
Diffusers
Safetensors
GGUF
suna_v1_acestep_xl_sft
music-generation
text-to-music
audio
singing-synthesis
48khz-stereo
suna-ai
Instructions to use jjcoders/suna-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jjcoders/suna-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jjcoders/suna-v1", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from jjcoders/suna-v1: direct link, hf CLI and curl.
- Browser
- Download file 302 Bytes
-
https://huggingface.co/jjcoders/suna-v1/resolve/main/generation_config.json
- Command line
-
hf download hf://jjcoders/suna-v1/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/jjcoders/suna-v1/resolve/main/generation_config.json
302 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 2048, | |
| "decoder_start_token_id": 2048, | |
| "do_sample": true, | |
| "guidance_scale": 3.0, | |
| "max_length": 1500, | |
| "pad_token_id": 2048, | |
| "transformers_version": "5.19.0", | |
| "suna_ai_version": "1.0.0-OFFICIAL-LAUNCH", | |
| "suna_build_timestamp": 1792127806 | |
| } |