ModelPublicadoExterno

ARACHNE FOUNDATION 50B

> Foundation-scale video diffusion backbone engineered for the next generation of realtime AI systems.

Fuentehuggingface.co/MagistrTheOne/ARACHNE-FOUNDATION-50B/tree/dcadb40da3e4090bf72ee873cf128bfdb86db21f

TipoOtherVersiónRevision dcadb40Bcalidad

Fuente del modelo

Tipo: Other
Tamaño del archivo: 172 MB–4,65 GB
Versión: vRevision dcadb40
Actualizado: 27 sept 2026
Descargas: 636
Fuente: Hugging Face

Descripción de la fuente

ARACHNE-FOUNDATION-50B

Foundation-scale video diffusion backbone engineered for the next generation of realtime AI systems.

ARACHNE-FOUNDATION-50B is an experimental large-scale DiT foundation checkpoint developed by NULLXES as part of the ARACHNE runtime ecosystem.

This repository represents an early foundation transition stage of the ARACHNE lineage: from operational realtime avatar/video systems toward a sovereign large-scale multimodal video backbone optimized for realtime inference, streaming generation, identity stability, and future native audio-video architectures.

Overview

ARACHNE-FOUNDATION-50B is currently a:

depth-expanded initialization checkpoint
architectural research foundation
pretraining-ready DiT topology
runtime-compatible experimental backbone

This release is NOT a fully trained production model.

The checkpoint was surgically expanded from:

ARACHNE-X-ULTRA-VIDEO

using internal topology scaling procedures and initialization surgery.

Current Status

Component	Status
Depth expansion	✅ Complete
Diffusers compatibility	✅ Complete
Safetensors export	✅ Complete
Smoke forward validation	✅ Complete
Runtime compatibility	✅ Complete
Full pretraining	⏳ Pending
Native audio generation	⏳ Planned
Benchmark evaluation	⏳ Pending
Production deployment	❌ Not ready

Architecture

Property	Value
Model Type	Diffusion Transformer (DiT)
Scale	~50B parameters
Depth	178 transformer blocks
Format	Diffusers
Weights	Safetensors
Runtime Target	ARACHNE Runtime Stack
Intended Direction	Realtime multimodal generation

Design Philosophy

Unlike cinematic-first video generators, ARACHNE-FOUNDATION is being developed around:

realtime inference architecture
operational latency constraints
streaming generation
identity persistence
chunk-aware generation
deterministic runtime behavior
future digital employee systems

The long-term goal is not only high-quality video synthesis, but stable realtime operational generation inside enterprise-grade AI runtime systems.

Important Notice

This repository currently contains an initialization-stage checkpoint.

The released weights:

have NOT undergone large-scale continuation pretraining
are NOT benchmarked against production-grade video models
should NOT be considered final quality weights
are intended for architecture research, runtime experimentation, and future scaling work

At this stage, this repository should be viewed as:

a foundation topology transition checkpoint, not a finished frontier model.

Training Data

Current smoke/evaluation dataset:

ARACHNE-FOUNDATION-DATA-SMOKE

Future large-scale pretraining datasets are not yet publicly released.

Runtime Ecosystem

ARACHNE-FOUNDATION is part of the broader NULLXES runtime ecosystem:

Layer	Role
ASTERIAS	Deterministic reasoning layer
ARACHNE-X	Realtime avatar/video runtime
FOUNDATION	Large-scale backbone research
Session Workers	Operational orchestration
NULLXES	Enterprise AI infrastructure

Repository Structure

/config.json
/diffusion_pytorch_model-*.safetensors
/model_index.json
/README.md

Roadmap

Phase 1 — Foundation Transition

topology scaling
runtime stabilization
compatibility verification

Phase 2 — Foundation Pretraining

temporal coherence learning
motion priors
identity consistency
multimodal alignment

Phase 3 — Realtime Optimization

chunk-aware distillation
low-latency inference
KV-cache optimization
streaming-native generation

Phase 4 — Native Multimodal Runtime

integrated audio/video generation
realtime duplex interaction
operational digital employee systems

Authors

NULLXES LLC
CEO & Architect: @MagistrTheOne

Contact:

[email protected]
Telegram: @MagistrTheOne

Final Note

ARACHNE-FOUNDATION is not being developed as a consumer entertainment model.

Its direction is toward:

realtime operational AI infrastructure for next-generation digital workforce systems.

Fuentes

1 fuente

Hugging FacePrincipalVersión dcadb40da3e4090bf72ee873cf128bfdb86db21f

huggingface.co/MagistrTheOne/ARACHNE-FOUNDATION-50B/tree/dcadb40da3e4090bf72ee873cf128bfdb86db21f

Verificado 30 ago

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Artefactos del modelo

42 artefactos

diffusion_pytorch_model-00001-of-00042.safetensors

safetensors · 4,63 GB · SHA-256 ea2a711100d6…47ca · Hugging Face

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diffusion_pytorch_model-00002-of-00042.safetensors

safetensors · 4,50 GB · SHA-256 5338b0be7c9b…86bb · Hugging Face

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diffusion_pytorch_model-00003-of-00042.safetensors

safetensors · 4,65 GB · SHA-256 63ca234840d1…80ab · Hugging Face

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diffusion_pytorch_model-00004-of-00042.safetensors

safetensors · 4,64 GB · SHA-256 1dcfb81f1b3d…48ea · Hugging Face

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diffusion_pytorch_model-00005-of-00042.safetensors

safetensors · 4,54 GB · SHA-256 5a437dda9c9a…21aa · Hugging Face

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diffusion_pytorch_model-00006-of-00042.safetensors

safetensors · 4,48 GB · SHA-256 326a588563b8…77fa · Hugging Face

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diffusion_pytorch_model-00007-of-00042.safetensors

safetensors · 4,64 GB · SHA-256 d7f8278998da…c43b · Hugging Face

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diffusion_pytorch_model-00008-of-00042.safetensors

safetensors · 4,54 GB · SHA-256 d3f3b6347737…c633 · Hugging Face

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diffusion_pytorch_model-00009-of-00042.safetensors

safetensors · 4,48 GB · SHA-256 1f6d25602a72…6cce · Hugging Face

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diffusion_pytorch_model-00010-of-00042.safetensors

safetensors · 4,64 GB · SHA-256 0cf39d41bbab…4cd7 · Hugging Face

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diffusion_pytorch_model-00011-of-00042.safetensors

safetensors · 4,54 GB · SHA-256 3bdcffb24be0…9c36 · Hugging Face

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diffusion_pytorch_model-00012-of-00042.safetensors

safetensors · 4,63 GB · SHA-256 f7f5ae0a422e…3be8 · Hugging Face

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diffusion_pytorch_model-00013-of-00042.safetensors

safetensors · 4,64 GB · SHA-256 990db672361f…2c89 · Hugging Face

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diffusion_pytorch_model-00014-of-00042.safetensors

safetensors · 4,54 GB · SHA-256 bcc5dfc6ba15…63fc · Hugging Face

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diffusion_pytorch_model-00015-of-00042.safetensors

safetensors · 4,48 GB · SHA-256 b293486e606c…09ac · Hugging Face

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diffusion_pytorch_model-00016-of-00042.safetensors

safetensors · 4,64 GB · SHA-256 edcf7289235b…d73d · Hugging Face

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diffusion_pytorch_model-00017-of-00042.safetensors

safetensors · 4,54 GB · SHA-256 b49d18af88d6…307a · Hugging Face

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diffusion_pytorch_model-00018-of-00042.safetensors

safetensors · 4,48 GB · SHA-256 d15435841254…0a5a · Hugging Face

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diffusion_pytorch_model-00019-of-00042.safetensors

safetensors · 4,64 GB · SHA-256 4af0770ecf44…9e90 · Hugging Face

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diffusion_pytorch_model-00020-of-00042.safetensors

safetensors · 4,54 GB · SHA-256 8ede80002899…a46c · Hugging Face

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diffusion_pytorch_model-00021-of-00042.safetensors

safetensors · 4,48 GB · SHA-256 19766b4aa14b…86fd · Hugging Face

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diffusion_pytorch_model-00022-of-00042.safetensors

safetensors · 4,64 GB · SHA-256 dd522458f9e5…1f2e · Hugging Face

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diffusion_pytorch_model-00023-of-00042.safetensors

safetensors · 4,54 GB · SHA-256 6f756ae5c917…7db0 · Hugging Face

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diffusion_pytorch_model-00024-of-00042.safetensors

safetensors · 4,48 GB · SHA-256 f1a2a6d02c68…5f8f · Hugging Face

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diffusion_pytorch_model-00025-of-00042.safetensors

safetensors · 4,64 GB · SHA-256 0bb87322651b…63c5 · Hugging Face

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diffusion_pytorch_model-00026-of-00042.safetensors

safetensors · 4,54 GB · SHA-256 9d71878e5691…c997 · Hugging Face

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diffusion_pytorch_model-00027-of-00042.safetensors

safetensors · 4,48 GB · SHA-256 0c1ecbe596df…6a61 · Hugging Face

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diffusion_pytorch_model-00028-of-00042.safetensors

safetensors · 4,64 GB · SHA-256 179bf688d9a0…a45f · Hugging Face

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diffusion_pytorch_model-00029-of-00042.safetensors

safetensors · 4,54 GB · SHA-256 c376c270aa0a…6d1b · Hugging Face

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diffusion_pytorch_model-00030-of-00042.safetensors

safetensors · 4,48 GB · SHA-256 a133528715a7…6f81 · Hugging Face

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diffusion_pytorch_model-00031-of-00042.safetensors

safetensors · 4,64 GB · SHA-256 50ec8e2677cb…83ef · Hugging Face

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diffusion_pytorch_model-00032-of-00042.safetensors

safetensors · 4,54 GB · SHA-256 95e8d7f2a06f…6cd9 · Hugging Face

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diffusion_pytorch_model-00033-of-00042.safetensors

safetensors · 4,48 GB · SHA-256 cf17135f322b…f856 · Hugging Face

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diffusion_pytorch_model-00034-of-00042.safetensors

safetensors · 4,64 GB · SHA-256 7061069b9ccb…3f1b · Hugging Face

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diffusion_pytorch_model-00035-of-00042.safetensors

safetensors · 4,54 GB · SHA-256 1ac577f07d93…bf0f · Hugging Face

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diffusion_pytorch_model-00036-of-00042.safetensors

safetensors · 4,48 GB · SHA-256 ee6645683d73…117c · Hugging Face

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diffusion_pytorch_model-00037-of-00042.safetensors

safetensors · 4,64 GB · SHA-256 aff3fdbdf546…b24b · Hugging Face

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diffusion_pytorch_model-00038-of-00042.safetensors

safetensors · 4,54 GB · SHA-256 54894323068d…0344 · Hugging Face

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diffusion_pytorch_model-00039-of-00042.safetensors

safetensors · 4,48 GB · SHA-256 dd1f099df630…5133 · Hugging Face

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diffusion_pytorch_model-00040-of-00042.safetensors

safetensors · 4,64 GB · SHA-256 6cf72728559b…d1ae · Hugging Face

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diffusion_pytorch_model-00041-of-00042.safetensors

safetensors · 4,54 GB · SHA-256 d764f17f4bb7…8e2c · Hugging Face

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diffusion_pytorch_model-00042-of-00042.safetensors

safetensors · 172 MB · SHA-256 41f37974d31a…1465 · Hugging Face

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Extractos de fuentes

2 extractos

Readme30 agohuggingface.co/MagistrTheOne/ARACHNE-FOUNDATION-50B

--- license: apache-2.0 library_name: diffusers pipeline_tag: text-to-video tags: - arachne - nullxes - foundation - video-generation - text-to-video - diffusion-transformer - realtime-runtime - enterprise-ai - multimodal - sovereign-ai datasets: - MagistrTheOne/ARACHNE-FOUNDATION-DATA-SMOKE --- # ARACHNE-FOUNDATION-50B > Foundation-scale video diffusion backbone engineered for the next generation of realtime AI systems. ARACHNE-FOUNDATION-50B is an experimental large-scale DiT foundation checkpoint developed by NULLXES as part of the ARACHNE runtime ecosystem. This repository represents an early foundation transition stage of the ARACHNE lineage: from operational realtime avatar/video systems toward a sovereign large-scale multimodal video backbone optimized for realtime inference, streaming generation, identity stability, and future native audio-video architectures. --- # Overview ARACHNE-FOUNDATION-50B is currently a: - depth-expanded initialization checkpoint - architectural research foundation - pretraining-ready DiT topology - runtime-compatible experimental backbone This release is **NOT** a fully trained production model. The checkpoint was surgically expanded from: - [ARACHNE-X-ULTRA-VIDEO](https://huggingface.co/MagistrTheOne/ARACHNE-X-ULTRA-VIDEO) using internal topology scaling procedures and initialization surgery. --- # Current Status | Component | Status | |---|---| | Depth expansion | ✅ Complete | | Diffusers compatibility | ✅ Complete | | Safetensors export | ✅ Complete | | Smoke forward validation | ✅ Complete | | Runtime compatibility | ✅ Complete | | Full pretraining | ⏳ Pending | | Native audio generation | ⏳ Planned | | Benchmark evaluation | ⏳ Pending | | Production deployment | ❌ Not ready | --- # Architecture | Property | Value | |---|---| | Model Type | Diffusion Transformer (DiT) | | Scale | ~50B parameters | | Depth | 178 transformer blocks | | Format | Diffusers | | Weights | Safetensors | | Runtime Target | ARACHNE Runtime Stack | | Intended Direction | Realtime multimodal generation | --- # Design Philosophy Unlike cinematic-first video generators, ARACHNE-FOUNDATION is being developed around: - realtime inference architecture - operational latency constraints - streaming generation - identity persistence - chunk-aware generation - deterministic runtime behavior - future digital employee systems The...

Note30 agohuggingface.co/MagistrTheOne/ARACHNE-FOUNDATION-50B

Source context: 636 downloads · 1 likes · Pipeline text-to-video · Library diffusers · Repo MagistrTheOne/ARACHNE-FOUNDATION-50B