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lotus-depth-d-v1-1.safetensors
Octane Render
A LoRA that expands on the built-in “ Octane Render ” style found in most models. Its core is cinematic hyper-detail, beautiful lighting, glossy surfaces, and finely rendered features. It leans toward close-up...
Brekkist (Artist Style) [PonyXL/Illustrious]
Revisited the dataset. Some new images, but mostly the same. Different trigger word to avoid style bleed since IL knows some artists kinda.
Entice🎲
🎲 Entice🎲 – Model Description 🎲
Visualrl LoRA Zmin
Italian Baroque Caravaggio Oil Painting Style
Base model: Flux.1 D Trained words: carava1 painting
BE7nV2hA6yW5jT4s
Ernie Image Sft Mlx Q4
Int4 quantization (groupsize 64, attention and FFN Linear weights only, leaving the small projections and the VAE in bf16) of dgrauet/ernie-image-sft-mlx, the MLX conversion of baidu/ERNIE-Image.
INDUS V2 GGUF
For a convenient overview and download list, visit our model page for this model.
Kumi Pumi, Style, LoRA, Anima | PonyXL | Illustrious XL
A Lora of Kumi Pumi Style.
WoW_(XL+PD+Flux).
The latest version has a bit less style, more realism. But with better anatomy.
Gotou Hitori (Bocchi the Rock!) | ぼっち・ざ・ろっく!
GOTOU HITORI FROM BOCCHI THE ROCK!
Isolde イゾルデ | Zenless Zone Zero [Anima v1.0]
If you want to support me, consider liking the model and tipping buzz!
Gmp S70pct Lr1e 4 20260623 155839
Qwen3 8B Ins Draft OPD
This repository contains Qwen3-8B-Ins-Draft-OPD, a draft model for speculative decoding.
LFM2.5 8B A1B Raw ECHO RLVR GRPO Adapters
license: apache-2.0 basemodel: LiquidAI/LFM2.5-8B-A1B tags: liquid-ai lfm2.5 terminal-agent rlvr echo grpo lora adapter
marduk191's Flux.1 collection
I compiled a little collection of flux.1 models. there are fp8 models with fp8 t5 and fp8 models with fp16 t5 for both dev and schnell. Single files for use with the regular checkpoint loader. there are also fp16...
Qwen2 0.5B GRPO Test
This model is a fine-tuned version of Qwen/Qwen2-0.5B-Instruct. It has been trained using TRL.
hunyuan_video_vae_bf16.safetensors
Distilroberta 8 4 1.25 85 65 75
This model is a fine-tuned version of distilbert/distilroberta-base on the None dataset. It achieves the following results on the evaluation set: Loss: 1.2255 F1 Micro: 0.7950 F1 Macro: 0.7537 Precision Micro: 0.8288...
