Yzmblog/DMAD
DMAD: Distribution Matching as Adversarial Distillation for Fast Visual Generation
- Stars
- 220
- Forks
- 18
- Open issues
- 0
- Last push
- 5d ago
About DMAD
DMAD is a free, open-source machine learning tool by Yzmblog, written mainly in Python. DMAD: Distribution Matching as Adversarial Distillation for Fast Visual Generation. It has 220 GitHub stars and 18 forks, and was last updated 5d ago. It's released under the Apache-2.0 license, a standard open-source license. According to the project, it needs a GPU with at least 7 GB of memory.
- License
- Apache-2.0
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 220
- Last update
- 5d ago
- Runs on Mac
- Not stated
- GPU
- 7 GB+ (as stated by the project)
- Paid API key
- Not stated
- Self-hostable
- Not stated
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DMAD FAQ
Can I use DMAD commercially?
Yes. Apache-2.0 is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is DMAD free?
Yes. DMAD is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does DMAD run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does DMAD need a GPU?
According to the project, DMAD needs a GPU with at least 7 GB of memory.
Is DMAD still maintained?
Yes. It was last updated 5d ago and has 0 open issues on GitHub.
What are alternatives to DMAD?
Similar free, open-source tools include transformers, pytorch-lightning, ailia-models, LlamaFactory.