--- title: RedCraft-12b-10steps-FP16-AIGC canonical_url: "https://www.modelscope.cn/models/qijitech/RedCraft-12b-10steps-FP16-AIGC" md_url: "https://www.modelscope.cn/models/qijitech/RedCraft-12b-10steps-FP16-AIGC.md" repository: qijitech/RedCraft-12b-10steps-FP16-AIGC chinese_name: "RedCraft | 红潮 CADS Commercial & Advertising Design System" last_updated: 2025-03-07 license: "Apache License 2.0" pipeline_tag: text-to-image-synthesis tasks: - text-to-image-synthesis parameters: 11.9B tensor_type: - BF16 library_name: - lora - safetensors - pytorch frameworks: - Pytorch supports_inference: txt2img downloads: 18542 stars: 36 tags: - ckpt - text-to-image --- # RedCraft-12b-10steps-FP16-AIGC > RedCraft-12b-10steps-FP16-AIGC - qijitech 在 ModelScope 开源的模型。RedCraft-红潮 12B-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，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… qijitech/RedCraft-12b-10steps-FP16-AIGC 是 ModelScope 魔搭社区上的 11.9B 参数text-to-image-synthesis模型，采用 Apache License 2.0 许可，并支持在线推理（txt2img）。 - **Repository**: qijitech/RedCraft-12b-10steps-FP16-AIGC - **License**: Apache License 2.0 - **Tasks**: text-to-image-synthesis - **Parameters**: 11.9B - **Online inference**: txt2img - **Tags**: ckpt, text-to-image - **Downloads**: 18542 - **Stars**: 36 - **Last updated**: 2025-03-07 Source: https://www.modelscope.cn/models/qijitech/RedCraft-12b-10steps-FP16-AIGC --- #### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型 SDK下载 ```bash #安装ModelScope pip install modelscope ``` ```python #SDK模型下载 from modelscope import snapshot_download model_dir = snapshot_download('qijitech/RedCraft-12b-10steps-FP16-CADS') ``` Git下载 ``` #Git模型下载 git clone https://www.modelscope.cn/qijitech/RedCraft-12b-10steps-FP16-CADS.git ``` # RedCraft-红潮 12B Text2image FP16-METAFILM --- ReCraft preview --- 基于 artificialanalysis.ai -Text to Image Arena 擂台赛 精选提示词 ``` 可能是目前快速出图(10步以内)版 FP16 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. CIVITAI Page：https://civitai.green/models/958009/redcraft-or-cads-commercial-and-advertising-design-system?modelVersionId=1072568 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) ``` --- 未蒸馏PRO版本 将在测试完成后公开 元影智能工作室 by AiARTiST ``` --- ``` 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 ``` --- ``` # RedCraft 擂台赛 --- ARENA02 --- ARENA01 --- Recommend: UNET versions (Model only) need Text Encoders and VAE, I recommend use below CLIP and Text Encoder model, will get better prompt guidance: Long CLIP: https://huggingface.co/zer0int/CLIP-GmP-ViT-L-14/blob/main/ViT-L-14-TEXT-detail-improved-hiT-GmP-TE-only-HF.safetensors 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. --- 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 --- license: flux-1-dev-non-commercial-license ---