【comfyui教程】使用 ComfyUI 部署与测试 FLUX.1 图像生成模型教程

FLUX.1 是由 Black Forest Labs 推出的文本到图像生成模型，已成为 AI 绘画领域的高品质模型。该模型由 Stability AI 的前核心成员开发，具备强大的生成能力和高质量的图像输出。Flux & AE 模型：https://huggingface.co/black-forest-labs/FLUX.1-devCLIP 模型：https://huggingface.co/

AI绘画小33

1087人浏览 · 2024-10-31 17:20:12

AI绘画小33 · 2024-10-31 17:20:12 发布

前言

FLUX.1 是由 Black Forest Labs 推出的文本到图像生成模型，已成为 AI 绘画领域的高品质模型。该模型由 Stability AI 的前核心成员开发，具备强大的生成能力和高质量的图像输出。目前，Flux 的相关模型：

Flux & AE 模型：https://huggingface.co/black-forest-labs/FLUX.1-dev
CLIP 模型：https://huggingface.co/stabilityai/stable-diffusion-3-medium

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安装 HuggingFace 下载工具，使用镜像下载速度明显加快：

export HF_ENDPOINT="https://hf-mirror.com"
pip install -U huggingface_hub hf-transfer

下载 HuggingFace 脚本，如下：

huggingface-cli download --token [your toekn] black-forest-labs/FLUX.1-dev --local-dir FLUX.1-dev --include "flux1-dev.safetensors" 
huggingface-cli download --token [your toekn] black-forest-labs/FLUX.1-dev --local-dir FLUX.1-dev --include "ae.safetensors"
huggingface-cli download --token [your toekn] stabilityai/stable-diffusion-3-medium --local-dir stable-diffusion-3-medium

下载之前需要申请权限，Token 地址来源于：https://huggingface.co/settings/tokens，全部勾选即可生成。

其中，完全版是 FP16 的版本 flux1-dev.safetensors，大约 23G，即：

FLUX.1-dev/flux1-dev.safetensors 
bypy upload flux1-dev.safetensors /stable_diffusion/flux_data/flux1-dev.safetensors

AE 模型：

FLUX.1-dev/ae.safetensors

CLIP 是两个模型：

stable-diffusion-3-medium/text_encoders/clip_l.safetensors
stable-diffusion-3-medium/text_encoders/t5xxl_fp16.safetensors

将 Flux 的相关模型，放入相应的位置：

ComfyUI/models/unet/flux1-dev.safetensors
ComfyUI/models/vae/ae.safetensors
ComfyUI/models/clip/clip_l.safetensors
ComfyUI/models/clip/t5xxl_fp16.safetensors

搭建 Flux 流程：

Pipeline

相关提示词：

A queen sits on a throne, looking at the camera with arrogance, legs crossed, wearing high heels and white stockings.
The palace is bright, highlighting the queen’s majesty.
Low POV (Point of View), tilted shot from below.

A Chinese queen sits on a very high throne in bright palace, looking at the camera, legs crossed, wearing golden high heels and black stockings.
very low POV, tilted shot from below.

A woman empress of China sits on a very high throne in the bright palace. She is looking at the camera, legs crossed, wearing golden high heels and black stockings.
very low POV, tilted shot from very below.
very high quality.

原图：

重绘图像：

ComfyUI Pipeline Json

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  "last_node_id": 66,
  "last_link_id": 110,
  "nodes": [
    {
      "id": 8,
      "type": "UNETLoader",
      "pos": [
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        -138
      ],
      "size": {
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        "1": 82
      },
      "flags": {},
      "order": 0,
      "mode": 0,
      "outputs": [
        {
          "name": "MODEL",
          "type": "MODEL",
          "links": [
            73
          ],
          "shape": 3,
          "label": "模型",
          "slot_index": 0
        }
      ],
      "properties": {
        "Node name for S&R": "UNETLoader"
      },
      "widgets_values": [
        "flux1-dev.safetensors",
        "default"
      ]
    },
    {
      "id": 9,
      "type": "DualCLIPLoader",
      "pos": [
        -372,
        164
      ],
      "size": {
        "0": 315,
        "1": 106
      },
      "flags": {},
      "order": 1,
      "mode": 0,
      "outputs": [
        {
          "name": "CLIP",
          "type": "CLIP",
          "links": [
            81
          ],
          "shape": 3,
          "label": "CLIP",
          "slot_index": 0
        }
      ],
      "properties": {
        "Node name for S&R": "DualCLIPLoader"
      },
      "widgets_values": [
        "t5xxl_fp16.safetensors",
        "clip_l.safetensors",
        "flux"
      ]
    },
    {
      "id": 12,
      "type": "CLIPTextEncodeFlux",
      "pos": [
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      "flags": {},
      "order": 11,
      "mode": 0,
      "inputs": [
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          "name": "clip",
          "type": "CLIP",
          "link": 81,
          "label": "CLIP"
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        {
          "name": "clip_l",
          "type": "STRING",
          "link": 34,
          "widget": {
            "name": "clip_l"
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          "label": "CLIP_L",
          "slot_index": 1
        },
        {
          "name": "t5xxl",
          "type": "STRING",
          "link": 35,
          "widget": {
            "name": "t5xxl"
          },
          "label": "T5XXL"
        }
      ],
      "outputs": [
        {
          "name": "CONDITIONING",
          "type": "CONDITIONING",
          "links": [
            14
          ],
          "shape": 3,
          "label": "条件",
          "slot_index": 0
        }
      ],
      "properties": {
        "Node name for S&R": "CLIPTextEncodeFlux"
      },
      "widgets_values": [
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        3.5,
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    {
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      "type": "LatentFromBatch",
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      "size": {
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      "flags": {},
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          "name": "LATENT",
          "type": "LATENT",
          "links": [
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          "shape": 3,
          "label": "Latent",
          "slot_index": 0
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      ],
      "properties": {
        "Node name for S&R": "LatentFromBatch"
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      "widgets_values": [
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    },
    {
      "id": 5,
      "type": "EmptyLatentImage",
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        -291
      ],
      "size": {
        "0": 315,
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      },
      "flags": {},
      "order": 2,
      "mode": 0,
      "outputs": [
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          "name": "LATENT",
          "type": "LATENT",
          "links": [
            13
          ],
          "shape": 3,
          "label": "Latent",
          "slot_index": 0
        }
      ],
      "properties": {
        "Node name for S&R": "EmptyLatentImage"
      },
      "widgets_values": [
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    },
    {
      "id": 16,
      "type": "BasicScheduler",
      "pos": [
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      ],
      "size": {
        "0": 315,
        "1": 106
      },
      "flags": {},
      "order": 12,
      "mode": 0,
      "inputs": [
        {
          "name": "model",
          "type": "MODEL",
          "link": 79,
          "label": "模型"
        }
      ],
      "outputs": [
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          "name": "SIGMAS",
          "type": "SIGMAS",
          "links": [
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          ],
          "shape": 3,
          "label": "Sigmas",
          "slot_index": 0
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      "widgets_values": [
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    },
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      "size": {
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          ],
          "shape": 3,
          "label": "模型",
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        }
      ],
      "properties": {
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      },
      "widgets_values": [
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        0.5,
        1024,
        1024
      ]
    },
    {
      "id": 61,
      "type": "Reroute",
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        997,
        -64
      ],
      "size": [
        75,
        26
      ],
      "flags": {},
      "order": 13,
      "mode": 0,
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          "name": "",
          "type": "*",
          "link": 99
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      ],
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          "links": [
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          "slot_index": 0
        }
      ],
      "properties": {
        "showOutputText": false,
        "horizontal": false
      }
    },
    {
      "id": 17,
      "type": "BasicGuider",
      "pos": [
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        -58
      ],
      "size": {
        "0": 241.79998779296875,
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      "flags": {},
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      "mode": 0,
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        {
          "name": "conditioning",
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          "link": 14,
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        }
      ],
      "outputs": [
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          "name": "GUIDER",
          "type": "GUIDER",
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          "type": "SAMPLER",
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          "shape": 3,
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      "properties": {
        "Node name for S&R": "KSamplerSelect"
      },
      "widgets_values": [
        "euler"
      ]
    },
    {
      "id": 19,
      "type": "VAEDecode",
      "pos": [
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      "size": {
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          "name": "vae",
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          "link": 22,
          "label": "VAE"
        }
      ],
      "outputs": [
        {
          "name": "IMAGE",
          "type": "IMAGE",
          "links": [
            89
          ],
          "shape": 3,
          "label": "图像",
          "slot_index": 0
        }
      ],
      "properties": {
        "Node name for S&R": "VAEDecode"
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    },
    {
      "id": 10,
      "type": "VAELoader",
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      ],
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          "shape": 3,
          "label": "图像",
          "slot_index": 0
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      "properties": {
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      "size": {
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      "flags": {},
      "order": 5,
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      "outputs": [
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          "type": "NOISE",
          "links": [
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          "shape": 3,
          "label": "噪波生成",
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      ],
      "properties": {
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      "flags": {},
      "order": 16,
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        {
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        {
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          "label": "Latent"
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      ],
      "outputs": [
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          "type": "LATENT",
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          "shape": 3,
          "label": "降噪输出",
          "slot_index": 1
        }
      ],
      "properties": {
        "Node name for S&R": "SamplerCustomAdvanced"
      },
      "color": "#322",
      "bgcolor": "#533"
    },
    {
      "id": 13,
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      "flags": {},
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      "outputs": [
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          "label": "噪波生成",
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      ],
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      "widgets_values": [
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    {
      "id": 37,
      "type": "StringFunction|pysssss",
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      ],
      "size": {
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      "flags": {},
      "order": 7,
      "mode": 0,
      "outputs": [
        {
          "name": "STRING",
          "type": "STRING",
          "links": [
            34,
            35
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          "shape": 3,
          "label": "字符串",
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          "type": "LATENT",
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      "properties": {
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      "inputs": [
        {
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          "label": "噪波生成"
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          "label": "引导"
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          "label": "采样器"
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      "outputs": [
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本文转自 https://blog.csdn.net/caroline_wendy/article/details/141201307?ops_request_misc=%257B%2522request%255Fid%2522%253A%252207AC4D24-29DF-44B1-8B01-99A435E5D6AB%2522%252C%2522scm%2522%253A%252220140713.130102334.pc%255Fall.%2522%257D&request_id=07AC4D24-29DF-44B1-8B01-99A435E5D6AB&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2_allfirst_rank_ecpm_v1~times_rank-9-141201307-null-null.142^v100control&utm_term=comfyui&spm=1018.2226.3001.4187，如有侵权，请联系删除。

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