Cara memasang Stable Diffusion WebUI Forge
The faster, lighter fork of the AUTOMATIC1111 interface with Flux support. Same tabs, much less VRAM.
Penjanaan imej
Windows
Linux
Lesen: AGPL-3.0
Apakah itu Stable Diffusion WebUI Forge?
Stable Diffusion WebUI Forge is a fork of AUTOMATIC1111 by lllyasviel, the author of ControlNet and Fooocus. It keeps the familiar interface, prompts and most extensions, but replaces the engine underneath with a memory manager that is far more efficient. Forge added Flux support before most other classic UIs and can run Flux on 6 to 8 GB cards with the right quantized files.
Pick Forge if you know and like the A1111 layout but want Flux, SDXL on a small graphics card, or simply faster generation. It is Windows and Linux only in practice. If you want video models or exotic workflows, use ComfyUI.
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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 or Linux with an NVIDIA graphics card; 6 GB VRAM is enough for SDXL and for Flux in NF4 or GGUF form, 12 GB or more for full Flux. 16 GB of system RAM is recommended because Forge swaps model parts to RAM. Plan 20 GB of disk space plus your models.
Cara mendapatkan dan memasang Stable Diffusion WebUI Forge
- Download the one-click package (webui_forge_cuXXX_torchXXX.7z) from the GitHub releases, extract it with 7-Zip to a folder without spaces, and run update.bat once.
- Start run.bat. The first run installs the remaining pieces and opens the interface in your browser at http://127.0.0.1:7860.
- Manual install: clone the repository and run webui-user.bat (Windows) or webui.sh (Linux), as with A1111.
- Place checkpoints in models/Stable-diffusion, Flux unet files in models/Stable-diffusion as well (or models/unet), the Flux text encoders and VAE in models/text_encoder and models/VAE, and LoRAs in models/Lora.
- If you already have A1111, do not copy its folder over Forge; instead point Forge at your existing models through the webui-user.bat argument --ckpt-dir or by editing the model paths in the settings.
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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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 Stable Diffusion WebUI Forge
- At the top, choose the UI preset: sd, xl or flux. It shows the right options for that model family.
- For Flux, select the unet file as the checkpoint and tick the matching VAE / text encoder files in the dropdown next to it (ae, clip_l and t5xxl). Set Distilled CFG to about 3.5 and CFG to 1.
- Write your prompt, set the size (1024x1024 is a good start for SDXL and Flux) and the steps (20 for Flux dev, 4 for schnell, 25 for SDXL), then press Generate.
- LoRAs work as in A1111: click one in the Lora tab to add <lora:name:1> to the prompt and include its trigger words from the model page.
- Results are saved in the outputs folder. Use the GPU Weights slider at the top if you run out of memory: a lower value keeps more of the model in system RAM.
Petua dan masalah biasa
- Flux NF4 and GGUF Q4/Q5 files are the best choice for 8 GB cards; they look almost identical to the full model and load in a fraction of the memory.
- Many A1111 extensions work in Forge, but not all; check the Forge discussions page before installing an extension that changes the sampling code.
- Keep Forge updated with update.bat; model support arrives in updates, not in extensions.
- If generation is slow, make sure the GPU Weights value is not set too low; too much swapping to RAM costs speed.
- Settings and prompt styles can be copied from A1111: the ui-config.json and styles.csv files are compatible.
Model yang boleh dijalankan dalam Stable Diffusion WebUI Forge
Forge runs Stable Diffusion 1.5, SDXL (including Pony and Illustrious variants) and Flux checkpoints and LoRAs from this catalog. For Wan, Hunyuan and other video models, use ComfyUI or Wan2GP instead.
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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
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Aplikasi tempatan lain
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.
Windows
Mac
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Cara memasang Stable Diffusion WebUI (AUTOMATIC1111)
The classic Stable Diffusion web interface: tabs, sliders and thousands of extensions. The app most tutorials were written for.
Windows
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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 SwarmUI
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Cara memasang Draw Things
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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 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
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