rbt6
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rbtl3
hfl基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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hfmaster基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗ncii-guard-v02
hfmlsocA binary classifier that flags image-editing prompts seeking non-consensual intimate imagery (NCII): requests to strip, undress, or otherwise sexualise a person in a photograph. It is `microsoft/harrier-oss-v1-270m` with a LoRA adapter (r=8) merged in, so it loads with plain `transformers` and needs no `peft`. The unmerged adapter is kept under `adapter/`. **This model does not ship a recommended threshold, and the default 0.5 is not a neutral choice.** Precision on clean text runs from 0.870 at 0.5 to 0.951 at 0.935, and buying that precision costs recall against obfuscated input: across 35 attack families the model misses 617 of 2,070 obfuscated NCII prompts at 0.5 and 749 at 0.935. Which way to err depends on what we need to prioritize. Pick the threshold against the precision/recall tradeoff. The full sweep for dev here is in `eval/`, both on clean text and per attack family.
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View details ↗ncii-light-guard-v01
hfmlsocThe following is a light-weight classification model designed to score the NCII risk of image editing prompts. General-purpose image-editing models have recently become more performant, particularly in their ability to preserve the identity of individual people while making photo-realistic changes to a picture. This has led to increased concerns about abuse of models to create **non-consensual intimate imagery (NCII)** from ordinary photos. As a result, some jurisdictions, including the EU, are introducing regulation mandating deployers to add targeted guardrails to prevent users from easily nudifying subjects of photographs or editing images to sexualize them without their consent. This model acts as a small **prompt guard**: it scores whether an instruction looks like an edit request that has a high risk of enabling NCII creation.
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗hand1
hgatens基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗hand4
hgatens基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Qwen-Image-2.1
hhfw基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗sembscore
hiaoxui基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗CHAI_SFT_model_8b-GGUF
Hibababab基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗draw2
HichTala基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Dolphin3.0-Llama3.1-8B-GGUF
HiddenViper229基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗HiDream-I1-Fast
HiDream-ai`HiDream-I1` is a new open-source image generative foundation model with 17B parameters that achieves state-of-the-art image generation quality within seconds. For more features and to experience the full capabilities of our product, please visit https://vivago.ai/. - 📝 **May 28, 2025**: We've released our technical report HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion Transformer. - 🚀 **April 28, 2025**: We've open-sourced the instruction-based-image-editing model **HiDream-E1-Full**. Experience at https://huggingface.co/spaces/HiDream-ai/HiDream-E1-Full!.
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View details ↗HiDream-I1-Full
HiDream-ai基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗HiDream-O1-Image
HiDream-aiHiDream-O1-Image is a natively unified image generative foundation model built on a Pixel-level Unified Transformer (UiT) without external VAEs or disjoint text encoders, which natively encodes raw pixels, text, and task-specific conditions in a single shared token space — supporting text-to-image, image editing, and subject-driven personalization at up to 2,048 × 2,048. > **HiDream-O1-Image-Dev-2604 debuts at #8 in the Artificial Analysis Text to Image Arena, which is positioned to be the new leading open weights Text to Image model.** We benchmark HiDream-O1-Image against state-of-the-art open-source and proprietary models on five widely-used evaluation suites covering compositional generation, dense prompt alignment, human preference, complex visual text generation, and long-text rendering. In each table, the **best** result is highlighted in bold and the second-best is underlined. Click any benchmark below to expand or collapse.
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View details ↗HiDream-O1-Image-Dev
HiDream-ai基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗HiDream-O1-Image-Dev-2604
HiDream-ai基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗4096ctx-gpt2
hidude562基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗psychology-gemma-2-9b-it
hienbm基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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