Images · Vendor site 2026-10-04
CodeFormer is an open-source PyTorch project for robust blind face restoration using a codebook lookup transformer, published with NeurIPS 2022 lineage. The GitHub repository provides training and inference scripts for face restoration, colorization, and inpainting, plus links to Hugging Face and Replicate demos for trying the models online.
Researchers and developers restoring or enhancing facial images and old photos with the published CodeFormer checkpoints.
You manage conda dependencies, checkpoints, and compute; the repository documents local setup rather than a single vendor-hosted API product page.
CodeFormer packages research-grade face restoration models and scripts so developers can enhance degraded portraits using codebook-based transformers.
What it can do
Unknown is different from unavailable. Each fact carries its own evidence.
| Capability | Value | Evidence | Checked |
|---|---|---|---|
| Paper lineage | Repository title references the NeurIPS 2022 CodeFormer blind face restoration work. | Facts sourced | 2026-10-04 |
| Use cases | README highlights face restoration, color enhancement, and inpainting example outputs. | Facts sourced | 2026-10-04 |
| Online demos | README badges link to Hugging Face Spaces and Replicate demos for CodeFormer. | Facts sourced | 2026-10-04 |
Understand the total cost
Free
Free
CodeFormer is distributed as an open GitHub project; running inference requires your own GPU environment or third-party demo hosts linked from the README.
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CodeFormer is an open-source PyTorch project for robust blind face restoration using a codebook lookup transformer, published with NeurIPS 2022 lineage. The GitHub repository provides training and inference scripts for face restoration, colorization, and inpainting, plus links to Hugging Face and Replicate demos for trying the models online.
CodeFormer is distributed as an open GitHub project; running inference requires your own GPU environment or third-party demo hosts linked from the README.. This record lists ongoing free access; check the plan limits before starting.
No paid monthly price is listed; this record treats the product as free to start. See the plan cards for entitlements, billing commitments and seat minimums.
Not confirmed. API access and subscription access may have different terms; consult the linked sources.
You manage conda dependencies, checkpoints, and compute; the repository documents local setup rather than a single vendor-hosted API product page.
No retained pricing changes yet. A current price alone does not establish a historical trend.
Reviewed vendor source
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