ComfyUI 原生支持争议模型 HiDream：安装配置到 GGUF 加速全指南| ComfyUI Natively Supports Controversial HiDream

🔥备受争议的文生图模型 HiDream 迎来了 ComfyUI 的原生支持！这是否意味着它已成为业界顶流？本视频将带你深入了解 HiDream 模型，并提供在 ComfyUI 中使用它的完整实战教程，让你轻松掌握这款潜力巨大的工具。
#runninghub #comfyui #hidream #flux
🔥The controversial text-to-image model HiDream now has native support in ComfyUI! Does this signal its rise to the top tier? This video dives deep into the HiDream model and provides a complete, hands-on tutorial for using it within ComfyUI, allowing you to easily master this powerful tool.
🎬 你将学到：
1 HiDream 模型为何重要以及 ComfyUI 原生支持的意义
2 下载和配置 HiDream 所需的模型文件（文本编码器、VAE、主模型）
3 使用 ComfyUI 原生工作流运行 HiDream 的详细步骤与参数设置
4 如何利用 GGUF 量化模型为 HiDream 加速并优化性能
5 使用 HiDream 时需要注意的关键点（如 Token 限制、推荐分辨率）
🎬 You'll learn:
1 Why the HiDream model is significant despite controversy and what ComfyUI native support means
2 How to download and configure the necessary model files for HiDream (Text Encoders, VAE, Main Model)
3 Detailed steps and parameter settings for running HiDream using the native ComfyUI workflow
4 How to leverage GGUF quantized models to accelerate HiDream and optimize performance
5 Key considerations when using HiDream (like token limits, recommended resolutions)
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ComfyUI_examples_hidream：
https://comfyanonymous.github.io/ComfyUI_examples/hidream/
model download
https://huggingface.co/Comfy-Org/HiDream-I1_ComfyUI/tree/main/split_files
gguf 量化模型
https://huggingface.co/city96/HiDream-I1-Dev-gguf
粉丝福利 注册送1000点算力
https://www.runninghub.ai/?utm_source=kol02-RH021
工作流下载
https://github.com/amao2001/ganloss-latent-space/blob/main/workflow/2025-04-18%20hidream_dev_example.json
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Видео ComfyUI 原生支持争议模型 HiDream：安装配置到 GGUF 加速全指南| ComfyUI Natively Supports Controversial HiDream канала AI老腊肉