Tenshi Deepfake Jun 2026

The term "Tenshi Deepfake" refers not to one video, but to a specific leaked on the dark web and 4chan. Unlike generic deepfake software (DeepFaceLab, FaceSwap, or Rope), the Tenshi model was built specifically for a "full-body puppet" of a 2D/3D hybrid avatar.

The creation and dissemination of deepfakes, including the Tenshi deepfake, raise several ethical concerns: tenshi deepfake

| Step | Action | Resources | |------|--------|-----------| | 1 | – Tenshi is released under a non‑commercial, responsible‑use license . | Tenshi‑License.pdf (available on the official repo). | | 2 | Set Up the Environment – Docker image with GPU support; includes pretrained backbone, fine‑tuning scripts, and verification tools. | docker pull tenshi/deepfake:latest | | 3 | Collect Consent‑Based Data – Use only publicly licensed footage or obtain written consent. Store metadata (date, source, consent proof). | Consent‑Management‑Toolkit (open‑source). | | 4 | Fine‑Tune the Model – Run the tenshi_fine_tune.py script with your target data (minimum 5‑10 minutes of video). | Documentation: docs/fine_tune.md . | | 5 | Generate Content – Provide a text prompt or source video, then run tenshi_generate.py . | Example scripts in examples/ . | | 6 | Verify & Watermark – Use tenshi_verify --extract to confirm the embedded watermark. | SDK: tenshi_sdk . | | 7 | Publish with Disclosure – Add a visible caption (“Synthetic media generated using Tenshi”) and retain the provenance file. | Publishing‑Guidelines.pdf. | The term "Tenshi Deepfake" refers not to one