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[LoCon/LoRA] Yog-Sothoth (Depersonalization)

Trained with LoRA and LoCon,

4xBHI Realplksr Dysample Real

Scale: 4x Network type: RealPLKSR Author: Philip Hofmann License: CC-BY-4.0 Purpose: 4x upscaling images, handling some blur, some noise, and compression Pretrained Model: 4xNomos2realplksrdysample Training...

ControlNet

These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning. You can find some example images below. prompt: an object sitting in some rocks, bright red color on rock, cave

Sft Writingprompts Nemotron Nano 30b A3b As Gpt Oss 120b Seed43

Dementor imitation (disguise) LoRA adapter — dataset writingprompts, seed 43.

Rhodochrosite World Morph | Illustrious (v1.0)

Grimm's Fantasy

Unlock limitless creative potential with this versatile LoRA, designed to bring both fantasy and sci-fi visions to life. It excels at producing high-quality, detailed imagery across a wide spectrum of imaginative worlds:

encoder_dconv_weight_generator_init_0.01_er50k.pt

Mochi Mangaka Style

Works best at 0.75 weight.

epiCRealism XL

宮藤 芳佳 Miyafuji Yoshika STRIKE WITCHES.safetensors

wan2.2-i2v-low-lightx2v-fp16.safetensors

Wan 2.1 Fun 14B Control GGUF

This is a direct GGUF conversion of alibaba-pai/Wan2.1-Fun-14B-Control

ZI Lindsey Shaw (vrtlLindseyShaw).safetensors

OvisOCR2 F32 GGUF

> OvisOCR2, developed by the ATH-MaaS team, is a compact 0.8B vision-language model for end-to-end page-level document parsing, built by post-training Qwen3.5-0.8B to directly convert document images into structured...

My OC - Olaf [IllustriousXL]

Reviews, Hearts, Likes etc. are very appreciated!

Character: murasame senren

Trained using 43 images, with the trigger word being:

PaddleOCR VL Aksara Jawa

LoRA fine-tune of PaddlePaddle/PaddleOCR-VL for Aksara Jawa (Javanese traditional script). Submitted to the PaddleOCR Global Derivative Model Challenge — Hackathon 10th.

ControlNet Shadow Output

These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. You can find some example images in the following.

Aicg Detector Onnx

AIGC 人物图缺陷二分类器(pass=0 / reject=1)的部署版 ONNX。

My Dog Text To Image

Sample pictures of this concept: