fine-tuning details with Open-Sora initialization
- Dominant language
- Python
- Stars
- 164
- Forks
- 17
- PR merge metrics
- No merged PRs in 30d
Description
Dear Author,
First of all, I would like to express my sincere appreciation for your impressive work on IRASim.
To help me better understand the implementation and hardware requirements, could you please provide more details on the following points?
1.Which specific version of Open-Sora (v1.0, v1.1, or v1.2) was used as the base for the pre-trained weights?
2.what was the specific hardware setup? Specifically, how many GPUs were used, and what were the GPU versions?
3.how do you solve "Latent channel count mismatch" between opensora and sdxl-vae?Or you just use whole opensora framework including vae?
thanks
Contributor guide
No contributing guide indexed for this repository
Research direction
No files, tests, or entry points are named. Start by locating the fine-tuning and Open-Sora/SDXL-VAE initialization documentation or configuration in the repository; document the Open-Sora version, GPU count and models, and latent-channel handling. Done means all three questions in the issue are answered.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100