
Riffusion finetuned with google/musicCaps.</br>
I found that prompt similar to dataset label returns more fidable result.</br>
In my case I made a prompt with Chat GPT like this:
<p>
I'm writing prompt for music generation ai.
I used captions like this:
1. someone is playing a high pitched melody on a steel drum. The file is of poor audio-quality.
2. This is a glitch music piece. There is a synth sound rising in pitch that resembles a triangle wave. There are granular synth samples being played randomly. A virtual percussive low-to-mid bell sound is playing a melody that resembles a marimba. There is an eerie feeling of flow. This piece could be used in the soundtracks of dystopian sci-fi movies. It could also be used in exploration sequences of video games.
3. This file contains an orchestral composition rising up while a lot of digital clicking sounds are in the foreground. This is an amateur recording. And the sounds seem to come from a different source. This song may be playing in an adventure videogame.

Now I want to make a soothing jazz with base with medium temp.
Write a propmt in styles similar to above captions.
Return one sentence with 3 lines
</p>

Response: Create a serene dance atmosphere with a dreamy melody, soothing synths, and a pulsing beat that gently propels listeners into a state of blissful tranquility, perfect for unwinding after a long day or enjoying a moment of peaceful dance.

{"language": ["en"], "license": "cc-by-4.0", "tags": ["text-to-music", "text-to-image"], "datasets": ["Hyeon2/riffusion-musiccaps-dataset", "google/MusicCaps"]}
diffusers tensorboard text-to-music text-to-image en dataset:Hyeon2/riffusion-musiccaps-dataset dataset:google/MusicCaps license:cc-by-4.0 endpoints_compatible has_space diffusers:StableDiffusionPipeline region:us
TAGS
#diffusers #tensorboard #text-to-music #text-to-image #en #dataset-Hyeon2/riffusion-musiccaps-dataset #dataset-google/MusicCaps #license-cc-by-4.0 #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us 


Riffusion finetuned with google/musicCaps.</br>
I found that prompt similar to dataset label returns more fidable result.</br>
In my case I made a prompt with Chat GPT like this:
<p>
I'm writing prompt for music generation ai.
I used captions like this:
1. someone is playing a high pitched melody on a steel drum. The file is of poor audio-quality.
2. This is a glitch music piece. There is a synth sound rising in pitch that resembles a triangle wave. There are granular synth samples being played randomly. A virtual percussive low-to-mid bell sound is playing a melody that resembles a marimba. There is an eerie feeling of flow. This piece could be used in the soundtracks of dystopian sci-fi movies. It could also be used in exploration sequences of video games.
3. This file contains an orchestral composition rising up while a lot of digital clicking sounds are in the foreground. This is an amateur recording. And the sounds seem to come from a different source. This song may be playing in an adventure videogame.

Now I want to make a soothing jazz with base with medium temp.
Write a propmt in styles similar to above captions.
Return one sentence with 3 lines
</p>

Response: Create a serene dance atmosphere with a dreamy melody, soothing synths, and a pulsing beat that gently propels listeners into a state of blissful tranquility, perfect for unwinding after a long day or enjoying a moment of peaceful dance.

TAGS
#diffusers #tensorboard #text-to-music #text-to-image #en #dataset-Hyeon2/riffusion-musiccaps-dataset #dataset-google/MusicCaps #license-cc-by-4.0 #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us 
