工作流 /
图像 /
Qwen image and Edit 2509 GGUF (Beginner Friendly)
Qwen image and Edit 2509 GGUF (Beginner Friendly)
Qwen image and Edit 2509 GGUF (Beginner Friendly)
TL;DR: This is a lightweight ComfyUI workflow designed to run Qwen Image on low to mid-end hardware.It uses GGUF quantized models and optional Lightning LoRAs to drastically reduce VRAM usage while keeping image quality …
图像
9 个节点 715 次使用 The_frizzy1 51 KB
需要的权重
这个工作流引用了 1 个权重文件，其中 0 个能在本站模型库里找到。
The_frizzy1_qwen-image-edit-2509_v2.0.1.json
模型库暂未收录
节点构成
MarkdownNote
× 4
LoadImage
× 3
SaveImage
× 1
44ce854d-e407-42af-85fc-9c8c1d8fa934
× 1
官方标注的模型
Qwen-Image-Edit-2509-Lightning-4steps-V1.0-bf16.safetensorsQwen-Image-Lightning-8steps-V2.0.safetensorsQwen_Image-Q8_0.ggufqwen_2.5_vl_7b_fp8_scaled.safetensorsqwen_image_vae.safetensors
工作流 JSON
和上面「下载工作流 JSON」是同一份文件。
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347 "## Downloads - put each file in the ComfyUI folder shown\n\nClick a file name to download it. Put it in the folder shown (inside `ComfyUI/models/`). Same list as downloads.md.\n\n| Need | Folder | File the workflow loads |\n|---|---|---|\n| required | `diffusion_models/` | [Qwen_Image-Q8_0.gguf](https://huggingface.co/QuantStack/Qwen-Image-GGUF/resolve/main/Qwen_Image-Q8_0.gguf) (generation) |\n| optional | `loras/` | [Qwen-Image-Lightning-8steps-V2.0.safetensors](https://huggingface.co/lightx2v/Qwen-Image-Lightning/resolve/main/Qwen-Image-Lightning-8steps-V2.0.safetensors) (speed LoRA) |\n| required | `text_encoders/` | [qwen_2.5_vl_7b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors) |\n| required | `vae/` | [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors) |\n\n- For editing get a quant from [QuantStack/Qwen-Image-Edit-2509-GGUF](https://huggingface.co/QuantStack/Qwen-Image-Edit-2509-GGUF). Other generation quants: [QuantStack/Qwen-Image-GGUF](https://huggingface.co/QuantStack/Qwen-Image-GGUF).\n- 4-step LoRA also available: [Qwen-Image-Lightning-4steps-V2.0.safetensors](https://huggingface.co/lightx2v/Qwen-Image-Lightning/resolve/main/Qwen-Image-Lightning-4steps-V2.0.safetensors).\n- The saved graph loads the text encoder and VAE from a `Qwen-Image/` subfolder. Subfolders are fine: pick your file in the loader once.\n\n**Custom nodes:** [ComfyUI-KJNodes](https://github.com/kijai/ComfyUI-KJNodes), [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF).\n\nOne command: `python scripts/frizzy.py doctor qwen/image-edit-2509`\n"
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350 "text": "## Downloads - put each file in the ComfyUI folder shown\n\nClick a file name to download it. Put it in the folder shown (inside `ComfyUI/models/`). Same list as downloads.md.\n\n| Need | Folder | File the workflow loads |\n|---|---|---|\n| required | `diffusion_models/` | [Qwen_Image-Q8_0.gguf](https://huggingface.co/QuantStack/Qwen-Image-GGUF/resolve/main/Qwen_Image-Q8_0.gguf) (generation) |\n| optional | `loras/` | [Qwen-Image-Lightning-8steps-V2.0.safetensors](https://huggingface.co/lightx2v/Qwen-Image-Lightning/resolve/main/Qwen-Image-Lightning-8steps-V2.0.safetensors) (speed LoRA) |\n| required | `text_encoders/` | [qwen_2.5_vl_7b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors) |\n| required | `vae/` | [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors) |\n\n- For editing get a quant from [QuantStack/Qwen-Image-Edit-2509-GGUF](https://huggingface.co/QuantStack/Qwen-Image-Edit-2509-GGUF). Other generation quants: [QuantStack/Qwen-Image-GGUF](https://huggingface.co/QuantStack/Qwen-Image-GGUF).\n- 4-step LoRA also available: [Qwen-Image-Lightning-4steps-V2.0.safetensors](https://huggingface.co/lightx2v/Qwen-Image-Lightning/resolve/main/Qwen-Image-Lightning-4steps-V2.0.safetensors).\n- The saved graph loads the text encoder and VAE from a `Qwen-Image/` subfolder. Subfolders are fine: pick your file in the loader once.\n\n**Custom nodes:** [ComfyUI-KJNodes](https://github.com/kijai/ComfyUI-KJNodes), [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF).\n\nOne command: `python scripts/frizzy.py doctor qwen/image-edit-2509`\n"
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374 "- **Text to image (default):** Empty Latent goes to the KSampler.\n- **Editing:** un-bypass the Load Image nodes you use, open the Qwen Image Edit 2509 node, un-bypass FluxKontextImageScale + VAE Encode in Step 2 and connect the VAE Encode latent to the KSampler. See How to use."
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552 "## How to use\n\n**What it does:** Qwen Image text to image, and Qwen Image Edit 2509 image editing (up to 3 input images), with GGUF models and an optional Lightning speed LoRA. Default: text to image at 1088x1088, 8 steps, CFG 2.\n\n**Inputs (left)**\n- **Load Image** x3: only for editing. Bypassed by default. The middle one is image 1 (the image you edit, also resized and VAE-encoded), the bottom one image 2, the top one image 3. Image 2 and 3 are extra references.\n\n**Settings (on the Qwen Image Edit 2509 node)**\n- **Prompt / Negative prompt**.\n- **Seed** (randomize after each run).\n- **Steps / CFG**: 8 steps + CFG 2 with the 8-step LoRA, 4 + CFG 1 with the 4-step LoRA, about 50 + CFG 4 with no LoRA (Qwen team setting).\n- **Width / Height**: output size for text to image (1088x1088).\n- **LoRA**: the Lightning LoRA file. Match Steps and CFG to it.\n- **Model file**: inside the node (double-click it), Step 1, GGUF loader. Default `Qwen_Image-Q8_0.gguf` (generation). For editing pick a Qwen-Image-Edit-2509 GGUF. Smaller quants (Q4_K_S) need less VRAM.\n\n**Text to image (default)**: just Run. Empty Latent goes to the KSampler.\n\n**Editing**\n1. Un-bypass the Load Image nodes you use (at least the middle one) and load your images.\n2. Open the node. Un-bypass FluxKontextImageScale and VAE Encode in Step 2.\n3. Connect the VAE Encode LATENT to the KSampler latent_image (instead of Empty Latent).\n4. Pick an Edit-2509 GGUF in Step 1 and write what to change in the Prompt.\n\nOutput: `ComfyUI/output/ComfyUI_*.png`.\n\n**Tips**\n- At CFG 1 the negative prompt does nothing. Say what you want in positive words.\n- Start with the 4-step LoRA to find a good seed fast, then render with 8 steps.\n\n**Attention:** on a 24 GB RTX PRO 4000 (ComfyUI 0.45.3, other workflows) sage, pytorch and ck attention ran at the same speed; --use-sage-attention used less peak VRAM. --use-ck-attention changes the image for the same seed. Not measured on this workflow.\n\n**Tested on:** no tested-on record for this workflow yet. Checked on ComfyUI 0.45.3: converts and validates (not run there).\n\n**Custom nodes:** ComfyUI-KJNodes (GGUF loader), ComfyUI-GGUF. Everything else is core ComfyUI.\n"
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557 "text": "## How to use\n\n**What it does:** Qwen Image text to image, and Qwen Image Edit 2509 image editing (up to 3 input images), with GGUF models and an optional Lightning speed LoRA. Default: text to image at 1088x1088, 8 steps, CFG 2.\n\n**Inputs (left)**\n- **Load Image** x3: only for editing. Bypassed by default. The middle one is image 1 (the image you edit, also resized and VAE-encoded), the bottom one image 2, the top one image 3. Image 2 and 3 are extra references.\n\n**Settings (on the Qwen Image Edit 2509 node)**\n- **Prompt / Negative prompt**.\n- **Seed** (randomize after each run).\n- **Steps / CFG**: 8 steps + CFG 2 with the 8-step LoRA, 4 + CFG 1 with the 4-step LoRA, about 50 + CFG 4 with no LoRA (Qwen team setting).\n- **Width / Height**: output size for text to image (1088x1088).\n- **LoRA**: the Lightning LoRA file. Match Steps and CFG to it.\n- **Model file**: inside the node (double-click it), Step 1, GGUF loader. Default `Qwen_Image-Q8_0.gguf` (generation). For editing pick a Qwen-Image-Edit-2509 GGUF. Smaller quants (Q4_K_S) need less VRAM.\n\n**Text to image (default)**: just Run. Empty Latent goes to the KSampler.\n\n**Editing**\n1. Un-bypass the Load Image nodes you use (at least the middle one) and load your images.\n2. Open the node. Un-bypass FluxKontextImageScale and VAE Encode in Step 2.\n3. Connect the VAE Encode LATENT to the KSampler latent_image (instead of Empty Latent).\n4. Pick an Edit-2509 GGUF in Step 1 and write what to change in the Prompt.\n\nOutput: `ComfyUI/output/ComfyUI_*.png`.\n\n**Tips**\n- At CFG 1 the negative prompt does nothing. Say what you want in positive words.\n- Start with the 4-step LoRA to find a good seed fast, then render with 8 steps.\n\n**Attention:** on a 24 GB RTX PRO 4000 (ComfyUI 0.45.3, other workflows) sage, pytorch and ck attention ran at the same speed; --use-sage-attention used less peak VRAM. --use-ck-attention changes the image for the same seed. Not measured on this workflow.\n\n**Tested on:** no tested-on record for this workflow yet. Checked on ComfyUI 0.45.3: converts and validates (not run there).\n\n**Custom nodes:** ComfyUI-KJNodes (GGUF loader), ComfyUI-GGUF. Everything else is core ComfyUI.\n"
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