CoolFace
Datasetpublic

stablediffusiontutorials/Flux-workflows

1. FLUX Installation Tutorial on ComfyUI/ForgeUI (Native/GGUF/NF4 variant): πŸ‘‡ https://www.stablediffusiontutorials.com/2024/08/flux-installation.html 2. Flux Kontext Installation + Workflow (Native/GGUF):πŸ‘‡ https://www.stablediffusiontutorials.com/2025/06/flux-kontext.html 3. Flux Kontext Dev LoRA Training on Windows/Linux:πŸ‘‡ https://www.stablediffusiontutorials.com/2025/06/train-flux-kontext-lora.html 4. Train Flux Dev/Schnell LoRA on… See the full description on the dataset page: https://huggingface.co/datasets/stablediffusiontutorials/Flux-workflows.

sourceHugging Facemitupdated 1y agoView on Hugging Face
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FLUX.1_Dev_LoRA_Training_Workflow.json1010 linesDownload Raw Back to root
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Set \"Preview Method\" to \"Auto\""305      ],306      "color": "#432",307      "bgcolor": "#653"308    },309    {310      "id": 13,311      "type": "SamplerCustomAdvanced",312      "pos": [313        1143.2526348266601,314        89.17116156429053315      ],316      "size": {317        "0": 352.4039611816406,318        "1": 463.3393859863281319      },320      "flags": {},321      "order": 17,322      "mode": 0,323      "inputs": [324        {325          "name": "noise",326          "type": "NOISE",327          "link": 37,328          "slot_index": 0329        },330        {331          "name": "guider",332          "type": "GUIDER",333          "link": 30,334          "slot_index": 1335        },336        {337          "name": "sampler",338          "type": "SAMPLER",339          "link": 19,340          "slot_index": 2341        },342        {343          "name": "sigmas",344          "type": "SIGMAS",345          "link": 20,346          "slot_index": 3347        },348        {349          "name": "latent_image",350          "type": "LATENT",351          "link": 23,352          "slot_index": 4353        }354      ],355      "outputs": [356        {357          "name": "output",358          "type": "LATENT",359          "links": [360            24361          ],362          "shape": 3,363          "slot_index": 0364        },365        {366          "name": "denoised_output",367          "type": "LATENT",368          "links": null,369          "shape": 3370        }371      ],372      "properties": {373        "Node name for S&R": "SamplerCustomAdvanced"374      }375    },376    {377      "id": 53,378      "type": "Note",379      "pos": [380        381,381        738382      ],383      "size": {384        "0": 548.0299072265625,385        "1": 283.5565490722656386      },387      "flags": {},388      "order": 4,389      "mode": 0,390      "properties": {391        "text": ""392      },393      "widgets_values": [394        "The checkpoint goes in ComfyUI/models/unet (not checkpoints)\nDownload the original weights here:\nhttps://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/flux1-dev.sft\n\nDownload the fp8 version for <24gb vram systems:\nhttps://huggingface.co/Kijai/flux-fp8/blob/main/flux1-dev-fp8.safetensors\n\nText encoders go in ComfyUI/models/clip:\nhttps://huggingface.co/comfyanonymous/flux_text_encoders/tree/main\n\nVAE (ae.sft) goes in ComfyUI/models/vae:\nhttps://huggingface.co/black-forest-labs/FLUX.1-schnell/blob/main/ae.sft\n\nDownload the fp8 t5xxl for degraded quality but less RAM use\nLaunch ComfyUI with \"--lowvram\" arg (in the .bat file) to offload text encoder to CPU.\n\nI can confirm this runs on:\n- RTX 3090 (24gb) 1.29s/it\n- RTX 4070 (12gb) 85s/it\nBoth running the fp8 quantized version. The 4070 is very slow though."395      ],396      "color": "#432",397      "bgcolor": "#653"398    },399    {400      "id": 8,401      "type": "VAEDecode",402      "pos": [403        1546,404        88405      ],406      "size": {407        "0": 210,408        "1": 46409      },410      "flags": {},411      "order": 18,412      "mode": 0,413      "inputs": [414        {415          "name": "samples",416          "type": "LATENT",417          "link": 24418        },419        {420          "name": "vae",421          "type": "VAE",422          "link": 12423        }424      ],425      "outputs": [426        {427          "name": "IMAGE",428          "type": "IMAGE",429          "links": [430            9431          ],432          "slot_index": 0433        }434      ],435      "properties": {436        "Node name for S&R": "VAEDecode"437      }438    },439    {440      "id": 9,441      "type": "SaveImage",442      "pos": [443        1784,444        88445      ],446      "size": {447        "0": 399.1837463378906,448        "1": 508.5245666503906449      },450      "flags": {},451      "order": 19,452      "mode": 0,453      "inputs": [454        {455          "name": "images",456          "type": "IMAGE",457          "link": 9458        }459      ],460      "properties": {461        "Node name for S&R": "SaveImage"462      },463      "widgets_values": [464        "MarkuryFLUX"465      ]466    },467    {468      "id": 61,469      "type": "ModelSamplingFlux",470      "pos": [471        754,472        383473      ],474      "size": {475        "0": 321.8402404785156,476        "1": 122477      },478      "flags": {},479      "order": 13,480      "mode": 0,481      "inputs": [482        {483          "name": "model",484          "type": "MODEL",485          "link": 106486        },487        {488          "name": "width",489          "type": "INT",490          "link": 102,491          "widget": {492            "name": "width"493          }494        },495        {496          "name": "height",497          "type": "INT",498          "link": 104,499          "widget": {500            "name": "height"501          }502        }503      ],504      "outputs": [505        {506          "name": "MODEL",507          "type": "MODEL",508          "links": [509            93,510            94511          ],512          "shape": 3,513          "slot_index": 0514        }515      ],516      "properties": {517        "Node name for S&R": "ModelSamplingFlux"518      },519      "widgets_values": [520        1.15,521        0.5,522        1024,523        1024524      ]525    },526    {527      "id": 70,528      "type": "Int Literal",529      "pos": [530        25,531        495532      ],533      "size": {534        "0": 315,535        "1": 58536      },537      "flags": {},538      "order": 5,539      "mode": 0,540      "outputs": [541        {542          "name": "INT",543          "type": "INT",544          "links": [545            101,546            102547          ],548          "shape": 3,549          "slot_index": 0550        }551      ],552      "title": "Width",553      "properties": {554        "Node name for S&R": "Int Literal"555      },556      "widgets_values": [557        832558      ]559    },560    {561      "id": 71,562      "type": "Int Literal",563      "pos": [564        28,565        610566      ],567      "size": {568        "0": 315,569        "1": 58570      },571      "flags": {},572      "order": 6,573      "mode": 0,574      "outputs": [575        {576          "name": "INT",577          "type": "INT",578          "links": [579            103,580            104581          ],582          "shape": 3,583          "slot_index": 0584        }585      ],586      "title": "Height",587      "properties": {588        "Node name for S&R": "Int Literal"589      },590      "widgets_values": [591        1216592      ]593    },594    {595      "id": 28,596      "type": "String Literal",597      "pos": [598        26.53539400100708,599        790.6399047851561600      ],601      "size": {602        "0": 317.8795471191406,603        "1": 202.01535034179688604      },605      "flags": {},606      "order": 7,607      "mode": 0,608      "outputs": [609        {610          "name": "STRING",611          "type": "STRING",612          "links": [613            47614          ],615          "shape": 3,616          "slot_index": 0617        }618      ],619      "properties": {620        "Node name for S&R": "String Literal"621      },622      "widgets_values": [623        "A RAW 2000s photo of a majestic white cat, its fur glistening like seafoam as it swims gracefully under the surface of the water. 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