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model AI sumber terbuka terbaik

Cara memasang ComfyUI

The node-based powerhouse for Stable Diffusion, Flux, Wan video and almost every new open source model. Free, open source, for Windows, Mac and Linux.
Penjanaan imej
Windows
Mac
Linux
Lesen: GPL-3.0
Panduan nod ComfyUI dan penyelesaian masalah
Setiap nod popular dijelaskan, dengan ralat yang dihasilkannya dan cara membaikinya.

Apakah itu ComfyUI?

ComfyUI is a free, open source program for running AI image and video models on your own computer. Instead of one fixed form, it shows your generation as a graph of connected nodes: a model loader, a text encoder, a sampler, a decoder and so on. Each node does one job, and you wire them together into a workflow. That sounds technical, and it is, but it is also why ComfyUI is usually the first app to support a new model: the pieces can be rearranged for anything.
It is the right choice if you want the newest models (Flux, Flux 2, Wan, Hunyuan, Qwen Image, Chroma, LTX), want to run LoRAs, ControlNets, upscalers and video in one place, or want to share exact, reproducible workflows with others. The ComfyUI Desktop app makes the first install easy; the classic portable build gives full control. If you only want to type a prompt and get a picture, Fooocus or Invoke are gentler starts.
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BitVector Prism ialah cara paling mudah untuk bermula: pilih model, taip prompt dan jana dalam aplikasi web yang bersih, tanpa apa-apa untuk dikonfigurasi. BitVector juga tersedia di Discord dan di web (SpyGlass).

Apa yang anda perlukan

Windows 10 or 11 with an NVIDIA graphics card (6 GB VRAM for SDXL, 12 GB or more for Flux and video; 24 GB is comfortable) is the best supported setup. AMD cards work on Linux with ROCm and on Windows through DirectML or ZLUDA, with more effort. Apple Silicon Macs (M1 and later) run ComfyUI natively through PyTorch MPS; 16 GB of unified memory is the practical minimum, 32 GB or more for Flux. You also need 20 to 100 GB of free disk space for model files, since one Flux checkpoint alone is about 12 to 24 GB.

Cara mendapatkan dan memasang ComfyUI

  1. Open the official site (comfy.org) and download ComfyUI Desktop for Windows or Mac. It is a normal installer that sets up Python and everything else for you.
  2. Windows alternative: download the portable ZIP from the GitHub releases page, extract it to a short path such as C:\ComfyUI, and start run_nvidia_gpu.bat (or run_cpu.bat without a GPU).
  3. Linux, or manual install on any system: clone the GitHub repository, create a Python virtual environment, install PyTorch for your GPU (CUDA, ROCm or MPS) and then run pip install -r requirements.txt.
  4. Download at least one model file: for example an SDXL checkpoint, or Flux (the unet file plus the clip_l, t5xxl text encoders and the ae VAE). Civitai and Hugging Face are the usual sources.
  5. Put the files in the models folder: checkpoints go in models/checkpoints, Flux and video diffusion models in models/diffusion_models (or models/unet), text encoders in models/text_encoders (models/clip), VAEs in models/vae and LoRAs in models/loras.
  6. Start ComfyUI. The browser opens at http://127.0.0.1:8188 (the Desktop app has its own window). Install ComfyUI Manager from the menu if it is not already there; it finds missing custom nodes and models for you.
Muat turun hanya daripada pautan rasmi di halaman ini. Pemasang yang ditemui di tempat lain mungkin lapuk atau telah diubah suai. ModelTrends.ai tidak menghoskan sebarang fail.
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PirateDiffusion
Tiada pemasangan diperlukan - jalankan model AI di awan
PirateDiffusion hanya di Telegram dan dibina untuk profesional: beribu-ribu model, LoRA dan aliran kerja yang dipacu oleh arahan sembang, dengan penjanaan tanpa had pada pelan harga tetap.

Cara menggunakan ComfyUI

  1. Load a template: the menu (Workflow > Browse Templates) has ready-made graphs for text to image with SD 1.5, SDXL, Flux and the video models. Pick one that matches a model you downloaded.
  2. In the Load Checkpoint (or Load Diffusion Model) node, choose your model from the list. If the list is empty, the file is in the wrong folder; press R to refresh after moving it.
  3. Type your prompt in the positive CLIP Text Encode node and anything you do not want in the negative one (Flux ignores negatives). Set the width and height in the Empty Latent Image node.
  4. In the KSampler node set the steps (20 to 30 for SDXL, 20 for Flux dev, 4 for Flux schnell and other distilled models), the CFG (5 to 7 for SDXL, 1 for Flux) and the sampler (euler or dpmpp_2m are safe choices).
  5. Press Run (or Ctrl+Enter). The image appears in the Save Image node and is also written to the output folder. Change the seed to get a different picture with the same prompt.
  6. To add a LoRA, add a Load LoRA node between the checkpoint and the text encoders, choose the file and keep the strength near 0.7 to 1.0. Every model page on ModelTrends.ai lists the trigger words to put in your prompt.

Petua dan masalah biasa

  • Out of memory? Start with --lowvram, pick an fp8 or GGUF version of the model, lower the resolution or close other GPU programs. Flux fp8 fits in 12 GB; GGUF Q4 versions fit in 8 GB.
  • Red nodes after loading a workflow mean a missing custom node. Open ComfyUI Manager, choose Install Missing Custom Nodes, then restart.
  • Drag any image generated by ComfyUI back onto the canvas to restore the exact workflow that made it, including prompt, seed and model.
  • Keep the models folder outside the ComfyUI folder and point to it with extra_model_paths.yaml, so you can update or reinstall ComfyUI without moving dozens of gigabytes.
  • On a Mac, the first generation after starting is slow while shaders compile; the second one is much faster. Keep the image size at or below 1024 on 16 GB machines.

Model yang boleh dijalankan dalam ComfyUI

ComfyUI runs nearly every open source model in this catalog: Stable Diffusion 1.5 and SDXL checkpoints, Flux and Flux 2, Qwen Image, Chroma, Z-Image, the Hunyuan, Wan and LTX video models, and their LoRAs. Check a model page here for the base model and trigger words, then put the file in the matching folder.
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Tiada pemasangan diperlukan - jalankan model AI di awan
Tiada GPU, tiada muat turun, tiada Python. Perkhidmatan ini menjalankan model sumber terbuka yang sama pada pelayan mereka sendiri, jadi anda boleh mula menjana dari pelayar, Discord atau Telegram dalam seminit.

Pautan

Pautan ini menuju ke laman pembuat sendiri. ModelTrends.ai tidak bergabung dengan mereka dan tidak menghoskan sebarang perisian.

Aplikasi tempatan lain

Cara memasang Stable Diffusion WebUI (AUTOMATIC1111)
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Cara memasang Stable Diffusion WebUI Forge
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Cara memasang Fooocus
Type a prompt, get a great SDXL image. Fooocus hides the settings and does the prompt engineering for you.
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Cara memasang SD.Next
A heavily modernized fork of the original WebUI that runs Stable Diffusion, SDXL, Flux, Qwen, Chroma and dozens of other model families on NVIDIA, AMD, Intel and Apple hardware.
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Cara memasang Invoke (InvokeAI)
A polished creative studio with an infinite canvas, layers and inpainting, built for artists rather than engineers.
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Cara memasang SwarmUI
A friendly, modern interface on top of a ComfyUI engine: simple generate tab for everyone, full node graph when you want it.
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Cara memasang Draw Things
The best native app for Mac, iPhone and iPad: Stable Diffusion, Flux, Wan video and more with no setup and no terminal.
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Cara memasang DiffusionBee
The one-click Stable Diffusion app for Mac: download, open, type, done. A Windows version exists too.
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Cara memasang Stability Matrix
One launcher that installs and updates ComfyUI, Forge, A1111, Fooocus, SwarmUI and more, and shares your models between them.
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Cara memasang Pinokio
A browser for AI apps: one-click installs for ComfyUI, Forge, Wan2GP, FramePack, voice and music tools, each in its own isolated environment.
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Cara memasang Krita AI Diffusion
Generative AI inside the free Krita painting program: paint, mask and generate on layers with live preview.
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Cara memasang Amuse
A simple Windows app for AMD and other PCs that generates images with no Python and no command line.
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Cara memasang Easy Diffusion
A one-click installer and simple web interface for Stable Diffusion that just works on Windows, Mac and Linux.
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Cara memasang Wan2GP
Video generation for the GPU poor: Wan, Hunyuan, LTX and more on 6 to 12 GB cards with a simple web interface.
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Cara memasang FramePack
Generate long videos frame by frame on a 6 GB laptop GPU, with progressive preview as it renders.
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Cara memasang LM Studio
Run open text models like Llama, Qwen, Gemma and Mistral on your Mac or PC with a chat window and a local API.
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Cara memasang Ollama
The developer favourite for local LLMs: one command downloads and runs Llama, Qwen, Gemma, DeepSeek and more, with a built-in API.
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