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Pintail (Kanatale / Swordgirls)
Thanks Zaciel for training data
Artist:ame usari 飴乃うさり(NoobXL)
偏少女的一款画风(?)
XL Kohinata Miho/小日向美穗/小日向美穂 Idolmaster/偶像大师
Base Model: Animagine XL V3.1
Merger_marie_omaly
Another merger from my TI's
Ligod Style
Works best at 0.75 weight.
MMEvol Qwen2 7B
Here are the pretrained weights and instruction tuning weights | Model | Pretrained Projector | Base LLM | PT Data | IT Data | Download | | MMEvol-Qwen2-7B | mmprojector | Qwen2-7B | LLaVA-Pretrain | MMEvol | ckpt |
Qwen3.5 9B GGUF
This is a GGUF-quantized version of Qwen3.5-9B produced with ByteShape's ShapeLearn, which learns the optimal datatype per tensor to maintain high quality even at very low bitlengths.
Nell Joestar Style
Works best at 0.75 weight.
Shepherd0821 Style
Works best at 0.75 weight.
Japan | Hetalia
Works best at 0.75 weight.
Wav2vec2 Base German Cv9 GGUF
GGUF conversions and quantisations of oliverguhr/wav2vec2-base-german-cv9 for use with CrispStrobe/CrispASR.
Uzk Mooon Style
Works best at 0.95 weight.
HTRP Erika The Curvy Fatty Little Nun
A character I created
Kakuja | Tokyo Ghoul
Works best at 1.2 weight.
Text2video Zero ControlNet Canny Gta5
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...
Thai Id Ocr Crnn Numeric Reader
> MVP model. Production upgrade: swap to ppocrv5 variant (same interface, > better accuracy). See config.json → architecturevariant for programmatic detection.
Real ESRGAN
PyTorch implementation of a Real-ESRGAN model trained on custom dataset. This model shows better results on faces compared to the original version. It is also easier to integrate this model into your projects.
Qwen Image Edit Rapid AIO GGUF
GGUF quants of Phr00t/Qwen-Image-Edit-Rapid-AIO from v11
Changeling Drone | My Little Pony
Works best at 0.95 weight.
Real ESRGAN General X4v3
Apple MLX fp16 port of Real-ESRGAN realesr-general-x4v3 (SRVGGNetCompact, ×4), for super-resolution on Apple Silicon. Converted from the official xinntao/Real-ESRGAN release checkpoint (BSD-3-Clause).
