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  2. "id": "ad18abd3-bdee-4f80-8fae-d15d4f845b9d",
  3. "revision": 0,
  4. "last_node_id": 66,
  5. "last_link_id": 176,
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  9. "type": "KSamplerSelect",
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  20. "mode": 0,
  21. "inputs": [],
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  23. {
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  25. "type": "SAMPLER",
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  33. "ver": "0.3.42",
  34. "Node name for S&R": "KSamplerSelect"
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  39. },
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  51. "flags": {},
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  53. "mode": 0,
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  57. "type": "LATENT",
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  59. },
  60. {
  61. "name": "vae",
  62. "type": "VAE",
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  150. "inputs": [],
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  152. "properties": {
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  154. },
  155. "widgets_values": [
  156. "The reference sampling implementation auto adjusts the shift value based on the resolution, if you don't want this you can just bypass (CTRL-B) this ModelSamplingFlux node.\n"
  157. ],
  158. "color": "#432",
  159. "bgcolor": "#653"
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  255. "type": "CONDITIONING",
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  258. {
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  294. "mode": 0,
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  298. "type": "MODEL",
  299. "link": 54
  300. },
  301. {
  302. "name": "conditioning",
  303. "type": "CONDITIONING",
  304. "link": 157
  305. }
  306. ],
  307. "outputs": [
  308. {
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  310. "type": "GUIDER",
  311. "slot_index": 0,
  312. "links": [
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  314. ]
  315. }
  316. ],
  317. "properties": {
  318. "cnr_id": "comfy-core",
  319. "ver": "0.3.42",
  320. "Node name for S&R": "BasicGuider"
  321. },
  322. "widgets_values": []
  323. },
  324. {
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  326. "type": "Note",
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  335. "flags": {},
  336. "order": 3,
  337. "mode": 0,
  338. "inputs": [],
  339. "outputs": [],
  340. "properties": {
  341. "text": ""
  342. },
  343. "widgets_values": [
  344. "If you get an error in any of the nodes above make sure the files are in the correct directories.\n\nSee the examples page for the links : https://comfyanonymous.github.io/ComfyUI_examples/flux/\n\nflux1-kontext-dev.safetensors goes in: ComfyUI/models/unet/\n\nt5xxl_fp16.safetensors and clip_l.safetensors go in: ComfyUI/models/clip/\n\nae.safetensors goes in: ComfyUI/models/vae/\n\n\nTip: You can set the weight_dtype above to one of the fp8 types if you have memory issues."
  345. ],
  346. "color": "#432",
  347. "bgcolor": "#653"
  348. },
  349. {
  350. "id": 17,
  351. "type": "BasicScheduler",
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  364. {
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  366. "type": "MODEL",
  367. "link": 55
  368. }
  369. ],
  370. "outputs": [
  371. {
  372. "name": "SIGMAS",
  373. "type": "SIGMAS",
  374. "links": [
  375. 20
  376. ]
  377. }
  378. ],
  379. "properties": {
  380. "cnr_id": "comfy-core",
  381. "ver": "0.3.42",
  382. "Node name for S&R": "BasicScheduler"
  383. },
  384. "widgets_values": [
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  386. 20,
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  390. {
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  392. "type": "VAEEncode",
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  407. "type": "IMAGE",
  408. "link": 164
  409. },
  410. {
  411. "name": "vae",
  412. "type": "VAE",
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  416. "outputs": [
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  418. "name": "LATENT",
  419. "type": "LATENT",
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  422. ]
  423. }
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  425. "properties": {
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  427. "ver": "0.3.42",
  428. "Node name for S&R": "VAEEncode"
  429. },
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  432. {
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  434. "type": "ImageScaleBy",
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  452. ],
  453. "outputs": [
  454. {
  455. "name": "IMAGE",
  456. "type": "IMAGE",
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  463. "properties": {
  464. "cnr_id": "comfy-core",
  465. "ver": "0.3.42",
  466. "Node name for S&R": "ImageScaleBy"
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  468. "widgets_values": [
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  472. },
  473. {
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  475. "type": "ModelSamplingFlux",
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  486. "mode": 0,
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  492. },
  493. {
  494. "name": "width",
  495. "type": "INT",
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  499. "link": 115
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  501. {
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  503. "type": "INT",
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  523. "ver": "0.3.42",
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  532. },
  533. {
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  535. "type": "SaveImage",
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  546. "mode": 0,
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  550. "type": "IMAGE",
  551. "link": 9
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  553. ],
  554. "outputs": [],
  555. "properties": {
  556. "cnr_id": "comfy-core",
  557. "ver": "0.3.42",
  558. "Node name for S&R": "SaveImage"
  559. },
  560. "widgets_values": [
  561. "Kontext"
  562. ]
  563. },
  564. {
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  581. "type": "NOISE",
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  584. {
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  586. "type": "GUIDER",
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  588. },
  589. {
  590. "name": "sampler",
  591. "type": "SAMPLER",
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  593. },
  594. {
  595. "name": "sigmas",
  596. "type": "SIGMAS",
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  598. },
  599. {
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  613. },
  614. {
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  616. "type": "LATENT",
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  620. "properties": {
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  622. "ver": "0.3.42",
  623. "Node name for S&R": "SamplerCustomAdvanced"
  624. },
  625. "widgets_values": []
  626. },
  627. {
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  629. "type": "UNETLoader",
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  643. {
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  645. "type": "MODEL",
  646. "slot_index": 0,
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  650. }
  651. ],
  652. "properties": {
  653. "cnr_id": "comfy-core",
  654. "ver": "0.3.42",
  655. "Node name for S&R": "UNETLoader"
  656. },
  657. "widgets_values": [
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  659. "default"
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  661. "color": "#223",
  662. "bgcolor": "#335"
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  726. {
  727. "name": "MASK",
  728. "type": "MASK",
  729. "links": null
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  731. ],
  732. "properties": {
  733. "cnr_id": "comfy-core",
  734. "ver": "0.3.42",
  735. "Node name for S&R": "LoadImage"
  736. },
  737. "widgets_values": [
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  739. "image"
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  744. "type": "LoadImage",
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  765. {
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  767. "type": "MASK",
  768. "links": null
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  771. "properties": {
  772. "cnr_id": "comfy-core",
  773. "ver": "0.3.42",
  774. "Node name for S&R": "LoadImage"
  775. },
  776. "widgets_values": [
  777. "sofa.jpg",
  778. "image"
  779. ]
  780. },
  781. {
  782. "id": 63,
  783. "type": "ImageStitch",
  784. "pos": [
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  801. {
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  804. "type": "IMAGE",
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  807. ],
  808. "outputs": [
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  817. "properties": {
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  819. "ver": "0.3.42",
  820. "Node name for S&R": "ImageStitch"
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  822. "widgets_values": [
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