mlc-ai / mlc-ai/web-stable-diffusion
Is there a plan to support quantization for SD within TVM Unity？
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Description
H，MLC Team！How to quantify SD models with TVM Unity for 3-4bit、int8、fp16 precision？
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue does not name a file, test, or entry point. First review the project's documented Stable Diffusion and TVM Unity workflows, then establish whether 3–4-bit, int8, and fp16 quantization are supported and what a completed implementation or documented answer would require.
Written by the indexing model from the issue text.
Assessment
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100