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MiniMax-H3 Multishot — chained shots, one master, with audio — v1.0 — v1.4
Both multishot samplers ( H3MultishotSampler and H3MultishotMemorySampler ) hardcoded their sampling internally — resmultistep on a simple schedule. Those are now widgets , with exactly those values as the defaults:
Nsfw Image Detection
The Fine-Tuned Vision Transformer (ViT) is a variant of the transformer encoder architecture, similar to BERT, that has been adapted for image classification tasks. This specific model, named...
pytorch_lora_weights.safetensors
Cunnilingus - Concept - booru v1 - Illustrious - cunnilingus.safetensors
model.safetensors
Oryx ViT
The Oryx-ViT model is trained on 200M data and can seamlessly and efficiently process visual inputs with arbitrary spatial sizes and temporal lengths. It is described in the paper Oryx MLLM: On-Demand...
t2i-adapter_diffusers_xl_canny.safetensors
Videomae Base Finetuned Ucf101 Subset
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.4043 Accuracy: 0.8571
model.safetensors
Photo Background 2d Compositing
Base model: Wan Video 14B t2v Trained words: photo background, real world location
model.safetensors
model.safetensors
model.safetensors
Qwen3 Tts Hindi LoRA Grpo
A Hindi LoRA adapter for Qwen3-TTS-0.6B, post-trained with GRPO (reinforcement learning) on top of the supervised akashicmarga/qwen3-tts-hindi-lora (SFT) adapter.
Floverale Style
Works best at 0.75 weight.
ResEncL OpenMind SwinUNETR
> Model from the paper: An OpenMind for 3D medical vision self-supervised learning > Pre-training codebase used to create checkpoint: MIC-DKFZ/nnssl > Dataset: AnonRes/OpenMind > Downstream (segmentation)...
KD OCT ConvNeXtV2
This model is part of the KD-OCT project, which provides a framework for efficient, clinical-grade retinal Optical Coherence Tomography (OCT) image classification. It was introduced in the paper KD-OCT: Efficient...
