Musique : jingle de podcast tech avec MusicGen
Prompt MusicGen pour un jingle de podcast tech de 15 secondes : électro douce, synthés lumineux, tempo modéré, fin nette.
Template
upbeat soft electronic jingle for a tech podcast, bright synth arpeggios, light drums, warm bass, 110 bpm, clean ending
Settings
| Modèle | facebook/musicgen-small |
|---|---|
| Durée | 15 s |
| Tempo | 110 bpm |
Notes
MusicGen comprend mieux les prompts en anglais. Licence des poids du modèle : CC BY-NC 4.0 (usage non commercial).
Estimated cost
Input tokens per call : ≈ 216
| Model | Per call | Per 1,000 calls |
|---|---|---|
| Mistral Large · Mistral AI | €0.00010 | €0.10 |
| DeepSeek Flash · DeepSeek | €0.00006 | €0.06 |
| DeepSeek V4 Pro · DeepSeek | €0.00025 | €0.25 |
| GPT-6 Luna · OpenAI | €0.00002 | €0.02 |
| GPT-6 Sol · OpenAI | €0.00038 | €0.38 |
| Claude Sonnet 5.5 · Anthropic | €0.00038 | €0.38 |
| Claude Opus 5.5 · Anthropic | €0.00076 | €0.76 |
| Self-hosted open-source model (Ollama, vLLM) | €0 in API fees (server cost only) | |
Input cost only, excluding the model's answer. Providers' public standard prices (Mistral AI, DeepSeek, OpenAI, Anthropic) converted from USD to euros at the ECB rate of September 29, 2026. Estimate: 1 token ≈ 3.6 characters.
Common to all 3 regions
Created by the author, no outside source.
Commercial use allowed · credit the author · changes allowed.
Text or data only: no access to files, network or commands.
Hosted in France (Scaleway, Paris). No transfer outside the EU.
European Union · 5/5
No personal data.
No training data: no summary required.
United States · 5/5
No personal data.
No training data: no documentation to publish.
China · 5/5
No personal data.
No training data; AI-generated content published in China must be labelled (2025).
Indicative summary as of 30/09/2026, not a legal certification. Method and sources →
Pin a version in your code
import contexte p = contexte.load("contextetech/jingle-podcast-tech-musicgen", version=1) print(p.fill())
$ contexte get 5zfrww#v1 Statistics
Likes : 0 · Comments : 0
Click a counter to show or hide it, hover the chart for details. One view per visitor per day, bots excluded; counting started on 30 September 2026.
- Identifier
- contextetech--jingle-podcast-tech-musicgen
- Type
- Prompts
- File
- jingle-podcast-tech-musicgen.json
- Format
- JSON (application/json)
- Size
- 644 bytes
- Encoding
- UTF-8
- Estimated tokens
- ≈ 177
- Language
- French
- License
- MIT
- Commercial use
- Allowed
- Personal data
- None
- Version
- 1.0
- Published on
- October 2, 2026 at 1:49 PM
- Updated on
- October 2, 2026 at 6:49 PM
- Storage
- in database
- Uses
- 1
- Likes
- 0
Python contexte
$ pip install contexte import contexte p = contexte.load("contextetech/jingle-podcast-tech-musicgen") print(p.fill())
$ contexte get 5zfrww jingle-podcast-tech-musicgen.json
{
"format": "contextec/prompt/v1",
"id": "contextetech/jingle-podcast-tech-musicgen",
"description": "Prompt MusicGen pour un jingle de podcast tech de 15 secondes : électro douce, synthés lumineux, tempo modéré, fin nette.",
"tags": [
"musicgen",
"jingle",
"podcast"
],
"license": "MIT",
"language": "fr",
"modality": "audio",
"template": "upbeat soft electronic jingle for a tech podcast, bright synth arpeggios, light drums, warm bass, 110 bpm, clean ending",
"variables": [],
"tool": "MusicGen",
"params": {
"Modèle": "facebook/musicgen-small",
"Durée": "15 s",
"Tempo": "110 bpm"
}
}
Community
No comments yet. Share your feedback, it will help the next person.