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sulphur2-endpoint
komkom0428/sulphur2-endpoint
sulphur2-endpoint is a text-to-video model from komkom0428. Use it when you need video from a text prompt. It is set up for custom.
Custom-handler repository for deploying SulphurAI/Sulphur-2-base (an LTX-2.3 fine-tune) on Hugging Face Inference Endpoints.
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Public
Updated May 12, 2026
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.py6.4 KB · 47%
At a glance
- Task
- Text-to-Video
- Library
- custom
- Access
- Public
- Created
- May 12, 2026
- Updated
- May 12, 2026
- SHA
- 97544244
Model card
From the Hugging Face model README
Sulphur-2 Inference Endpoint
Custom-handler repository for deploying SulphurAI/Sulphur-2-base (an LTX-2.3 fine-tune) on Hugging Face Inference Endpoints.
The actual weights are not stored here. handler.py pulls only the files it needs from:
SulphurAI/Sulphur-2-base— distilled checkpoint + distill LoRALightricks/LTX-2.3— spatial upscalergoogle/gemma-3-12b-it-qat-q4_0-unquantized— text encoder (gated, requiresHF_TOKEN)
See NOTES.md for deployment instructions, hardware requirements, and the call protocol.
Files
handler.py—EndpointHandlerfor the Default containerrequirements.txt— best-effort pip install path (see NOTES.md for caveats)Dockerfile— Custom Container build (recommended path)entrypoint.sh— container entrypoint for the Custom ContainerNOTES.md— deployment + usage
- Task
- Text-to-Video
- Library
- custom
- Created
- May 12, 2026
- Updated
- May 12, 2026