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Lightning Motion Lora | AnimateDiff Motion LoRA | v3
Trigger keyword: " flash of lightning "
RElaxation Styles for Illustrious
Works best at 0.75 weight.
画风 shigure-s style 【anima】
This model doesn't need a trigger word
[style] w3cs (western 3d comic, shadows)
Strength 0.8-1.0 . Trigger: w3cs
[PonyV6 XL LoCon] Belle | Zenless Zone Zero
This is a requested character.
Fuuma Kotarou 6th gen (Tenkaichi) | LoCon
I have opened up a request form
DreamShaper
Read more about this model here:
Text2video Zero ControlNet Canny Anime
Text2Video-Zero is a zero-shot text to video generator. It can perform zero-shot text-to-video generation, Video Instruct Pix2Pix (instruction-guided video editing), text and pose conditional video generation, text...
Merger_roman_surreeve
Another merger from my TIs.
Stt Ru Fastconformer Hybrid Ctc Large GGUF
GGUF conversions of the CTC branch of nvidia/sttrufastconformerhybridlargepc for CrispASR. The upstream model is a hybrid transducer+CTC Russian ASR release; the shared FastConformer encoder plus the auxiliary CTC...
DReP SFT Qwen3 8B
This model is a fine-tuned version of Qwen3-8B on the drepahalfsft dataset.
Sam Yang Style
Trigger: In the art style of Sam Yang.
Transcoda 59M Zeroshot v1
End-to-end zero-shot Optical Music Recognition. A compact 59M-parameter vision-encoder-decoder that turns raw score images directly into kern (Humdrum) symbolic transcriptions. Trained from scratch on synthetic data...
airi_architecture_office
AIRI lab. Open-Sources 2.1 AI Models
Gozenjuiame Style (Anima & Illustrious)
Works best at 0.75 weight.
Ksksksa/KSKS/ty4186 artist style
I like this guy's art :)
Gemma 4 E2B It Heretic SeguridadDeLaInformacion
> [!TIP] > This model is reproducible! > > See the README in the reproduce directory for more information.
Lingbot Video 1.3b FP8
Current integration release: v1.0.2. The FP8 checkpoint is byte-for-byte unchanged from v1.0.1; v1.0.2 fixes Qwen structured-prompt normalization in the bundled ComfyUI node pack.
Fashion Images Gender Age Vit Large Patch16 384 v1
This model is a fine-tuned version of google/vit-large-patch16-384 on the touchtech/fashion-images-gender-age dataset. It achieves the following results on the evaluation set: Loss: 0.0306 Accuracy: 0.9951
