Type | |
Stats | 248 |
Reviews | (29) |
Published | Nov 18, 2024 |
Base Model | |
Training | Steps: 40,000 Epochs: 20 |
Hash | AutoV2 6D64DADBF0 |
RedCraft-红潮-METAFILM
基于 artificialanalysis.ai -Text to Image Arena 擂台赛 精选作品集
元影智能工作室 by AiARTiST
Forever in memory of METAFILM Studio founder Mr. Yuan Bo
新 年 快 樂 Happy New Year of the Snake
Get ready for the all-new F.1 Schnell FT model — RUSHReveal·Schnell 「绝情 · 抽卡机」
BEST Refiner for IL / PONY / XL / MJ / SD15
Dr Wikeeyang`s latest research
Flux1-Dedistilled 3.0
F.1 Distilled2PRO leaked 🏴☠️
https://civitai.com/models/941929/flux1-dedistilledmixtuned
NewREVE[A]L 偷跑发布 1/22
F.1 DEV LoRA 生态 全兼容
反蒸馏超高材质（可训练）
CFG Restore to 1 Ensure the same speed as F.1 DEV
LoRA Fully Compatible De-Distill UH Material (trainable)
[ POWERED BY FLUX Aesthetics Enhancement LoRA ]
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本模型基于 F.1 Distilled2PRO 反蒸馏 '破解版' 偷跑（现已公开）：
Flux1-DedistilledMixTuned V3 escape version (Published)
Flux1-DedistilledMixTuned - v3.0 fp8 | Flux Checkpoint | Civitai
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追加FLUX DEV版本4k超高清底模权重 EOR v3：
Flux.1 Dev Edge of Reality 真实边缘 - v3 | Flux Checkpoint
追加 RED.2 [ ArtAUG ] BF16 美学基础模型权重：
RedCraft | 红潮 CADS | RED.2 BF16 (ArtAug) | Flux Checkpoint
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NSFW Unlocked
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RedCraft DRD（De-Re-Distilled） NewReveal.4M for 20Steps
CFG 1 | Sampler Deis / DPM++2M / Euler | SGM_uniform
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SOTA adaptive ability for NSFW !
Special thanks
SHM_AI works of excellence :
SHM Realistic - v4.0 | Stable Diffusion Checkpoint | Civitai
HudujnikBezKisty works of excellence :
The Super Realistic - TSR 2.0 | Stable Diffusion Checkpoint | Civitai
Astraali works of excellence :
AstrAnime - AstrAnime_V6 | Stable Diffusion Checkpoint | Civitai
And everyone who has quietly contributed to SD1.5
SD15RelustionHD 发布 1/18
Relustion1.5HD 高清发布 1/18/2025
基于 RETROSD 素材与 HD4K 重铸 SD1.5
RETRO！重返SD时代的光辉岁月！
Returning to the glorious years of SD !
CFG 5-7 DPM++2M /EulerA | SGM Uniform
采样步数 25~30 steps 为最佳 内置VAE
设计分辨率为 Hi-RES 0.9M ( 92W像素 )
高分辨率直出请启用UNET缩放或分块脚本
[ 基于全精度FP32制作，首发FP16版本 ]
RETRORelustion2 光辉发布 1/16
基于 RETROSD / FLUX Reveal / EDGE4k 打造东亚复古真实系 Illustrious FT
RETRO！重返SD时代的光辉岁月！Returning to the glorious years of SD !
CFG 5 Deis | EulerA | SGM Uniform
采样步数 25-30 为最佳，可以搭配 Hyper/DMD2/TDD 等加速器
设计分辨率为 Hi-RES 2M ( 200W像素 )，高分辨率启用UNET缩放
Thanks so much to everyone for all your support!
PONYRelustion2 欢乐发布 1/11
基于FLUX Reveal / EDGE4k 系列打造的 32-bit 东亚真实系 PONY 模型
Full Model fp32 (12.92 GB) 全精度无蒸馏无污染，BNB显存占用7GB
First release of FP32 version, unlimited creativity in PONY World!
助力欢乐马世界的无限创意！
CFG 5 Deis | EulerA | SGM Uniform
采样步数25左右为最佳，可以搭配 Hyper/DMD2/TDD 等加速器
设计分辨率为 Hi-RES 2M ( 200W像素 )，长宽比延续超强适应
Aspect ratio like PONY's ULTRA adaptive ability
目标是做出PONY世界的成熟高画质创意底模！
感谢大家一直以来的支持！
Special thanks
Thank you to Freepik and Ostris ！
for their outstanding contributions to parameter optimization!
RED.2 15.2 GB(BF16) 1/8/2025
POWERED BY FLUX Aesthetics Enhancement LoRA
Computational Intelligence Lab at ECNU
RED.2 美学评估基于 DiffSynth-Studio 生成理解交互训练项目 ArtAug
Paper: https://arxiv.org/abs/2412.12888
Model: ModelScope, HuggingFace
Demo: ModelScope, HuggingFace (Coming soon)
The training process of ArtAug consists of the following steps:
Synthesis-Understanding Interaction: After generating an image using the image generation model, we employ a multimodal large language model (Qwen2-VL-72B) to analyze the image content and provide suggestions for modifications, which then lead to the regeneration of a higher quality image.
Data Generation and Filtering: Interactive generation involves long inference times and sometimes produce poor image content. Therefore, we generate a large batch of image pairs offline, filter them, and use them for subsequent training.
Differential Training: We apply differential training techniques to train a LoRA model, enabling it to learn the differences between images before and after enhancement, rather than directly training on the dataset of enhanced images.
Iterative Enhancement: The trained LoRA model is fused into the base model, and the entire process is repeated multiple times with the fused model until the interaction algorithm no longer provides significant enhancements. The LoRA models produced in each iteration are combined to produce this final model.
This model integrates the aesthetic understanding of Qwen2-VL-72B into FLUX.1[dev], leading to an improvement in the quality of generated images.
Usage
CFG 1 | Sampler Deis / DPM++2M / Euler | SGM_uniform
Generation without accelerator in 25steps
Recommended combination accelerator for RED.2 : RED-AIGC / TDD
Target-Driven Distillation: Consistency Distillation with Target Timestep Selection and Decoupled Guidance
Generation with TDD-distilled RED.2 in only 4-8 steps
Distillation accelerator weight scaling to 0.12~0.13
[ Using Re-sampling with Sampler LCM/EulerA yields better results ]
The models in this link are in a parallel relationship, not version upgrades
本链接内的模型是并列的平行关系，并非全部是版本推进
The differents can be found in the 'About this version' section on the right
不同版本的说明在右侧的 ‘About this version’ 清单内
以下是模型列表 list of models ：
TURBO Reveal2 圣诞首发！Merry Christmas!
( HOTFix v2.1 uploaded - Enhance Lora adaptation )
是在Reveal NSFW的基础上结合更多人像做出的尝试！
Reveal2 Turbo 8-10steps
Combine more portraits based on Reveal NSFW
RedCraft | 红潮 CADS - Reveal2 TURBO
祝大家节日快乐！Wishing everyone a happy holiday!
本模型没有采用任何反蒸馏权重
Does not use any De-distilled weights
PONY Relustion 冬至首发 Winter Solstice Festival
基于高画质写实风格的创意优先设计
↳ RedCraft | 红潮 CADS - PONY Relustion
Creative priority design based on high-definition realistic style
距离上一个PONY模型发布已经过去七个月了：
MIST XL Hyper Character Style Model 角色风格模型加速版
感兴趣的朋友可以回顾一下全网首个 Hyper-PONY 超高速模型
Reveal NSFW
是FLUX.1 DEV规格的FP8 FT模型，主打男女爱情动作与人体艺术：
↳ RedCraft | 红潮 CADS - Reveal NSFW
FLUX. 1 DEV FP8 FT model, featuring romantic actions and body art
Reveal3 ULTRA
( HOTFix v3.2 - PENIS uploaded )
是FLUX.1 DEV与反蒸馏技术结合实现的高画质版本迭代：
↳ RedCraft | 红潮 CADS - Reveal3 uncensored
Reveal‘s high-definition update by De-Re-Distillation Quality Optimality
Relustion IL NSFW
是基于SDXL规格的全量训练模型 Illustrious XL 的写实化FT版本：
↳ RedCraft | 红潮 CADS - Relustion IL NSFW
Realistic FT of Illustrious XL，full optimization based on SDXL
Relustion ULTRA
是在 Relustion IL 的基础上，进一步加强写实化的高清版本：
↳ RedCraft | 红潮 CADS - Relustion ULTRA
a high-definition version that enhances realism on Reliability IL
Relustion XL
是在 SDXL CADS3 的基础上，结合NSFW训练集制作的高清量化版本：
↳ RedCraft | 红潮 CADS - Relustion XL
It is a high-definition quantized version based CADS3 and combined
with the NSFW training set，Used for HD refine of FLUX and IL models
RASCH.1 / 2
是两个不同 Schnell 反蒸馏FT模型上，结合RED.1风格的高速模型：
↳ RedCraft | 红潮 CADS - RASCH.2
↳ RedCraft | 红潮 CADS - RASCH.1 Forge
ReFLEX NSFW
是Schnell NF4版本的二次元绘画模型，主打结构稳定与提示词还原准确：
↳ RedCraft | 红潮 CADS - REFLEX NSFW
high-speed model mixed RED.1 on different Schnell De-distillation FT models
在保证提示词准确的基础上，De-Re-Distilled(DRD) Schnell模型兼顾了速度与质量
而且蒸馏模型具有天然的肢体稳定性与画风稳定性，即便是4bit量化版本效果也很好
6~10GB显存占用，4-8步出图，速度飞快（特别适合于画风训练与建筑装修模型）
the De-Re-Distilled (DRD) Schnell model balances speed and quality
Moreover, the distillation model has natural stability , even the 4-bit quantified
6-10GB of video memory usage, 4-8 steps of image output, fast speed
(Especially suitable for artistic style creation and architectural decoration)
以下是RedCraft系列，基础美学模型Red.1的简介
RedCraft RED.1
BF16 CADS Commercial & Advertising Design System
可能是目前快速出图(10步以内)版 BF16 模型中，出图质量较好、细节较丰富的基础模型。
Fine Quality Steps 10-20 Model, In some details, it surpasses the Flux series models and approaches the 20B Parameters models.
Based on METAFILM AI - Commercial & Advertising Design System, Merge of flux-dev-de-distill, finetuned by ComfyUI, Block_Patcher_ComfyUI, ComfyUI_essentials and other tools. Recommended 10-20 steps. Greatly improved quality compared to other 12B models.
基于
De-Distill & CADS商业素材 FP16
支持在线生成 ComfyUI WebUI
10-20 STEPS Euler / DPM++2M | beta / SGM_Uniform
CFG 3-3.5
Real CFG needs to be set (ignore guidance, or set to 0)
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The versions with AIO (All in one) in the name include UNET + VAE + CLIP L + T5XXL (fp8). Also known as Checkpoint or Compact version.
Using BNB NF4 & GGUF quants in ComfyUI requires installing custom nodes that add special model loaders:
NF4 + Lora support: https://github.com/bananasss00/ComfyUI_bitsandbytes_NF4-Lora
(outdated) NF4 UNET: https://github.com/DenkingOfficial/ComfyUI_UNet_bitsandbytes_NF4
(outdated) NF4 AIO checkpoint: https://github.com/comfyanonymous/ComfyUI_bitsandbytes_NF4
For using UNET versions, you also need to have the TEXT ENCODERS and VAE.
If you don't have them, download them from here:
T5XXL - CLIP L: https://huggingface.co/comfyanonymous/flux_text_encoders/tree/main
GGUF T5XXL: https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf
VAE: https://huggingface.co/black-forest-labs/FLUX.1-schnell/tree/main/vae
Place the model in "models/diffusion_models" or "models/unet", both text encoders in "models/clip" and vae in "models/vae" folder.
In ComfyUI, use the standard flux workflow or add 'Load Diffusion Model', 'DualClipLoader' and 'Load VAE' nodes to replace the checkpoint loader and complete the setup.
In Forge, set the option "Diffusion in low bits" to "bnb-nf4"
Thanks to city96 for gguf quantization script.
Thanks to reddit user a_beautiful_rhind for bnb quantization script.——————————————————————————
同样推荐选择大杨老师的 8bit finetune 版本：
Flux1-DedistilledMixTuned-V1 - v1.0 fp8 | Flux Checkpoint | Civitai
可能是目前能找到最符合官方基准风格并且出图效果最好的加速模型
Recommend:
UNET versions (Model only) need Text Encoders and VAE, I recommend use below CLIP and Text Encoder model, will get better prompt guidance:
Text Encoders: https://huggingface.co/silveroxides/CLIP-Collection/blob/main/t5xxl_flan_latest-fp8_e4m3fn.safetensors
VAE: https://huggingface.co/black-forest-labs/FLUX.1-schnell/tree/main/vae
GGUF Version: you need install GGUF model support nodes, https://github.com/city96/ComfyUI-GGUF
Simple workflow: a very simple workflow as below, needn't any other comfy custom nodes(For GGUF version, please use UNET Loader(GGUF) node of city96's):
Thanks for:
https://huggingface.co/wikeeyang, Wikee Yang for carefully finetune the 8-bit model and providing the model informations，You can find it here：
wikeeyang/Flux.1-Dedistilled-Mix-Tuned-fp8 · Hugging Face
https://huggingface.co/Anibaaal, Flux-Fusion is a very good mix and tuned model.
https://huggingface.co/nyanko7, Flux-dev-de-distill is a great experimental project! thanks for the inference.py scripts.
https://huggingface.co/MonsterMMORPG, Furkan share a lot of Flux.1 model testing and tuning courses, some special test for the de-distill model.
https://github.com/cubiq/Block_Patcher_ComfyUI, cubiq's Flux blocks patcher sampler let me do a lot of test to know how the Flux.1 block parameter value change the image gerentrating. His ComfyUI_essentials have a FluxBlocksBuster node, let me can adjust the blocks value easy. that is a great work!
https://huggingface.co/twodgirl, Share the model quantization script and the test dataset.
https://huggingface.co/John6666, Share the model convert script and the model collections.
https://github.com/city96/ComfyUI-GGUF, Native support GGUF Quantization Model.
https://github.com/leejet/stable-diffusion.cpp, Provider pure C/C++ GGUF model convert scripts.
境内已发布在 Modelscope 魔搭社区，感受极速下载！
RedCraft | 红潮 CADS Commercial & Advertising Design System · 模型库
全网唯一支持反蒸馏FLUX模型在线生成的平台（社群免费）：
AIGC 专区 - 图片生成 · 魔搭社区 Model: qijitech/RedCraft-12b-10steps-FP16-AIGC
The only platform (community-free) that supports the online generation of De-distillation FLUX models.
Also on Huggingface.co soon
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测试问题请留言，业务合作看个人首页 +V Zyuan980
做好工具人 服务艺术家 更多资料：https://x1f3ewlrcf.feishu.cn/wiki/BjJ1waQaLitPB4k7Lbvc0MaVnzb?fromScene=spaceOverview&open_tab_from=wiki_home
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