首页下载资源人工智能Flux Modelscope 本地部署

ZIPFlux Modelscope 本地部署

hawk2014bj7.85KB需要积分:1

资源文件列表:

flux.zip 大约有4个文件
  1. flux.ipynb 24.61KB
  2. __MACOSX/._flux.ipynb 462B
  3. workflow.json 9.84KB
  4. __MACOSX/._workflow.json 324B

资源介绍:

1. Notebook 文件包括，安装ComfyUI、模型下载、ComfyUI 启动 2. ComfyUI 配置文件
{ "last_node_id": 25, "last_link_id": 40, "nodes": [ { "id": 13, "type": "SamplerCustomAdvanced", "pos": [ 842, 215 ], "size": { "0": 355.20001220703125, "1": 106 }, "flags": {}, "order": 9, "mode": 0, "inputs": [ { "name": "noise", "type": "NOISE", "link": 37, "slot_index": 0, "label": "噪波生成" }, { "name": "guider", "type": "GUIDER", "link": 30, "slot_index": 1, "label": "引导" }, { "name": "sampler", "type": "SAMPLER", "link": 19, "slot_index": 2, "label": "采样器" }, { "name": "sigmas", "type": "SIGMAS", "link": 20, "slot_index": 3, "label": "Sigmas" }, { "name": "latent_image", "type": "LATENT", "link": 23, "slot_index": 4, "label": "Latent" } ], "outputs": [ { "name": "output", "type": "LATENT", "links": [ 24 ], "shape": 3, "slot_index": 0, "label": "输出" }, { "name": "denoised_output", "type": "LATENT", "links": null, "shape": 3, "label": "降噪输出" } ], "properties": { "Node name for S&R": "SamplerCustomAdvanced" } }, { "id": 8, "type": "VAEDecode", "pos": [ 1248, 192 ], "size": { "0": 210, "1": 46 }, "flags": {}, "order": 10, "mode": 0, "inputs": [ { "name": "samples", "type": "LATENT", "link": 24, "label": "Latent" }, { "name": "vae", "type": "VAE", "link": 12, "label": "VAE" } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 9 ], "slot_index": 0, "label": "图像" } ], "properties": { "Node name for S&R": "VAEDecode" } }, { "id": 10, "type": "VAELoader", "pos": [ 864, 384 ], "size": { "0": 315, "1": 58 }, "flags": {}, "order": 0, "mode": 0, "outputs": [ { "name": "VAE", "type": "VAE", "links": [ 12 ], "shape": 3, "slot_index": 0 } ], "properties": { "Node name for S&R": "VAELoader" }, "widgets_values": [ "ae.safetensors" ] }, { "id": 22, "type": "BasicGuider", "pos": [ 453, 131 ], "size": { "0": 241.79998779296875, "1": 46 }, "flags": {}, "order": 8, "mode": 0, "inputs": [ { "name": "model", "type": "MODEL", "link": 39, "slot_index": 0, "label": "模型" }, { "name": "conditioning", "type": "CONDITIONING", "link": 40, "slot_index": 1, "label": "条件" } ], "outputs": [ { "name": "GUIDER", "type": "GUIDER", "links": [ 30 ], "shape": 3, "slot_index": 0, "label": "引导" } ], "properties": { "Node name for S&R": "BasicGuider" } }, { "id": 12, "type": "UNETLoader", "pos": [ -202, 99 ], "size": { "0": 315, "1": 82 }, "flags": {}, "order": 1, "mode": 0, "outputs": [ { "name": "MODEL", "type": "MODEL", "links": [ 38, 39 ], "shape": 3, "slot_index": 0, "label": "模型" } ], "properties": { "Node name for S&R": "UNETLoader" }, "widgets_values": [ "flux1-dev-fp8.safetensors", "fp8_e4m3fn" ] }, { "id": 11, "type": "DualCLIPLoader", "pos": [ -254, 279 ], "size": { "0": 465.2893371582031, "1": 106 }, "flags": {}, "order": 2, "mode": 0, "outputs": [ { "name": "CLIP", "type": "CLIP", "links": [ 10 ], "shape": 3, "slot_index": 0, "label": "CLIP" } ], "properties": { "Node name for S&R": "DualCLIPLoader" }, "widgets_values": [ "t5xxl_fp8_e4m3fn.safetensors", "clip_l.safetensors", "flux" ] }, { "id": 16, "type": "KSamplerSelect", "pos": [ 470, 749 ], "size": { "0": 315, "1": 58 }, "flags": {}, "order": 3, "mode": 0, "outputs": [ { "name": "SAMPLER", "type": "SAMPLER", "links": [ 19 ], "shape": 3, "label": "采样器" } ], "properties": { "Node name for S&R": "KSamplerSelect" }, "widgets_values": [ "euler" ] }, { "id": 5, "type": "EmptyLatentImage", "pos": [ 473, 450 ], "size": { "0": 315, "1": 106 }, "flags": {}, "order": 4, "mode": 0, "outputs": [ { "name": "LATENT", "type": "LATENT", "links": [ 23 ], "slot_index": 0, "label": "Latent" } ], "properties": { "Node name for S&R": "EmptyLatentImage" }, "widgets_values": [ 1024, 1024, 1 ] }, { "id": 17, "type": "BasicScheduler", "pos": [ 468, 867 ], "size": { "0": 315, "1": 106 }, "flags": {}, "order": 6, "mode": 0, "inputs": [ { "name": "model", "type": "MODEL", "link": 38, "slot_index": 0, "label": "模型" } ], "outputs": [ { "name": "SIGMAS", "type": "SIGMAS", "links": [ 20 ], "shape": 3, "label": "Sigmas" } ], "properties": { "Node name for S&R": "BasicScheduler" }, "widgets_values": [ "normal", 20, 1 ] }, { "id": 25, "type": "RandomNoise", "pos": [ 470, 611 ], "size": { "0": 315, "1": 82 }, "flags": {}, "order": 5, "mode": 0, "outputs": [ { "name": "NOISE", "type": "NOISE", "links": [ 37 ], "shape": 3, "label": "噪波生成" } ], "properties": { "Node name for S&R": "RandomNoise" }, "widgets_values": [ 255570856140792, "randomize" ] }, { "id": 9, "type": "SaveImage", "pos": [ 983, 365 ], "size": { "0": 985.3012084960938, "1": 1060.3828125 }, "flags": {}, "order": 11, "mode": 0, "inputs": [ { "name": "images", "type": "IMAGE", "link": 9, "label": "图像" } ], "properties": { "Node name for S&R": "SaveImage
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