diff --git a/README.md b/README.md
index 206505f..1ea0939 100644
--- a/README.md
+++ b/README.md
@@ -127,44 +127,154 @@ All workflows have been tested on a 2x 3090 + 1060ti linux setup, a 4070 win 11
### DisTorch2
-- [Default DisTorch2 Workflow](https://github.com/pollockjj/ComfyUI-MultiGPU/blob/main/examples/distorch2/default_DisTorch2.json)
-- [FLUX.1-dev Example](https://github.com/pollockjj/ComfyUI-MultiGPU/blob/main/examples/distorch2/flux_dev_example_DisTorch2.json)
-- [Hunyuan GGUF Example](https://github.com/pollockjj/ComfyUI-MultiGPU/blob/main/examples/distorch2/hunyuan_gguf_DisTorch2.json)
-- [LTX Video Text-to-Video](https://github.com/pollockjj/ComfyUI-MultiGPU/blob/main/examples/distorch2/ltxv_text_to_video_MultiGPU.json)
-- [Qwen Image Basic Example](https://github.com/pollockjj/ComfyUI-MultiGPU/blob/main/examples/distorch2/qwen_image_basic_example_DisTorch2.json)
-- [WanVideo 2.2 Example](https://github.com/pollockjj/ComfyUI-MultiGPU/blob/main/examples/distorch2/wan2_2_DisTorch2.json)
+
### WanVideoWrapper
-- [WanVideo T2V Example](https://github.com/pollockjj/ComfyUI-MultiGPU/blob/main/examples/wannvideowrapper/wanvideo_T2V_example_MultiGPU.json)
-- [WanVideo 2.2 I2V Example](https://github.com/pollockjj/ComfyUI-MultiGPU/blob/main/examples/wannvideowrapper/wanvideo2_2_I2V_A14B_example_WIP_Multigpu.json)
+
### MultiGPU
-- [FLUX.1-dev Example](https://github.com/pollockjj/ComfyUI-MultiGPU/blob/main/examples/multiGPU/flux_dev_example_MultiGPU.json)
-- [SDXL 2-GPU](https://github.com/pollockjj/ComfyUI-MultiGPU/blob/main/examples/multiGPU/sdxl_2gpu.json)
+
### Florence2
-- [Florence2, FLUX.1-dev, LTX Video Pipeline](https://github.com/pollockjj/ComfyUI-MultiGPU/blob/main/examples/florence2/florence2_flux1dev_ltxv_cpu_2gpu.json)
+
### GGUF
-- [FLUX.1-dev 2-GPU GGUF](https://github.com/pollockjj/ComfyUI-MultiGPU/blob/main/examples/gguf/flux1dev_2gpu_gguf.json)
-- [Hunyuan 2-GPU GGUF](https://github.com/pollockjj/ComfyUI-MultiGPU/blob/main/examples/gguf/hunyuan_2gpu_gguf.json)
-- [Hunyuan CPU+GPU GGUF](https://github.com/pollockjj/ComfyUI-MultiGPU/blob/main/examples/gguf/hunyuan_cpu_1gpu_gguf.json)
-- [Hunyuan GGUF DisTorch](https://github.com/pollockjj/ComfyUI-MultiGPU/blob/main/examples/gguf/hunyuan_gguf_distorch.json)
-- [Hunyuan GGUF MultiGPU](https://github.com/pollockjj/ComfyUI-MultiGPU/blob/main/examples/gguf/hunyuan_gguf_MultiGPU.json)
+
### HunyuanVideoWrapper
-- [HunyuanVideoWrapper Native VAE](https://github.com/pollockjj/ComfyUI-MultiGPU/blob/main/examples/hunyuanvideowrapper/hunyuanvideowrapper_native_vae.json)
-- [HunyuanVideoWrapper Select Device](https://github.com/pollockjj/ComfyUI-MultiGPU/blob/main/examples/hunyuanvideowrapper/hunyuanvideowrapper_select_device.json)
-
-### DisTorch (Legacy GGUF)
-
-- [FLUX.1-dev GGUF DisTorch](https://github.com/pollockjj/ComfyUI-MultiGPU/blob/main/examples/distorch/flux1dev_gguf_distorch.json)
-- [Hunyuan IP2V GGUF DisTorch](https://github.com/pollockjj/ComfyUI-MultiGPU/blob/main/examples/distorch/hunyuan_ip2v_distorch_gguf.json)
+
## Support
diff --git a/example_workflows/ComfyUI-Florence2 detailed_caption to flux.jpg b/example_workflows/ComfyUI-Florence2 detailed_caption to flux.jpg
new file mode 100755
index 0000000..4e01f36
Binary files /dev/null and b/example_workflows/ComfyUI-Florence2 detailed_caption to flux.jpg differ
diff --git a/example_workflows/ComfyUI-Florence2 detailed_caption to flux.json b/example_workflows/ComfyUI-Florence2 detailed_caption to flux.json
new file mode 100755
index 0000000..b1d5f76
--- /dev/null
+++ b/example_workflows/ComfyUI-Florence2 detailed_caption to flux.json
@@ -0,0 +1,1109 @@
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+ "ver": "f2838ed5e59de4d73cde5c98354b87a8d3200190",
+ "Node name for S&R": "ShowText|pysssss"
+ },
+ "widgets_values": [
+ "A futuristic cityscape at night, with a neon sign that reads \"Florence 2\" prominently displayed in the center of the image. The cityscape is filled with tall buildings, illuminated by bright neon lights, and vehicles driving on a wet, rainy street. The sky is a deep blue with a few clouds, and an airplane is flying overhead. The image has a sci-fi aesthetic with a cyberpunk twist, featuring a combination of neon signs and urban elements."
+ ]
+ },
+ {
+ "id": 42,
+ "type": "MarkdownNote",
+ "pos": [
+ -492.1598205566406,
+ 96.541259765625
+ ],
+ "size": [
+ 499.7046203613281,
+ 699.9719848632812
+ ],
+ "flags": {},
+ "order": 9,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [],
+ "title": "ComfyUI-MultiGPU Note - ComfyUI-Florence2",
+ "properties": {},
+ "widgets_values": [
+ "A basic implementation of a the DownloadandLoad node from ComfyUI-Florence2. Takes an input image and creates a natural language caption which is used to feed a standard FLUX.dev workflow.\n\n## Custom Node\n- [ComfyUI-Florence2](https://github.com/kijai/ComfyUI-Florence2)\n- [ComfyUI-MultiGPU](https://github.com/pollockjj/ComfyUI-MultiGPU)\n```\nš ComfyUI/\nāāā š custom_nodes/\nā āāā š ComfyUI-Florence2/\nā āāā š ComfyUI-MultiGPU/\n```\n## Model links\n\n**Diffusion model**\n- [flux1-dev-fp8.safetensors](https://huggingface.co/Comfy-Org/flux1-dev/resolve/main/flux1-dev-fp8.safetensors)\n\n**CLIP**\n- [t5xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp8_e4m3fn_scaled.safetensors)\n- [clip_l.safetensors](https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/clip_l.safetensors)\n\n**VAE**\n- [ae.safetensors](https://huggingface.co/black-forest-labs/FLUX.1-dev/resolve/main/ae.safetensors)\n\n```\nš ComfyUI/\nāāā š models/\nā āāā š diffusion_models/\nā ā āāā flux1-dev-fp8.safetensors\nā āāā š clip/\nā ā āāā t5xxl_fp8_e4m3fn_scaled.safetensors\nā ā āāā clip_l.safetensors \nā āāā š vae/\nā ā āāā ae.safetensors\n```\n## Device Mapping (Example: Two GPUs, 1 CPU)\n```\nš„ļø system \nāāā š¢ cuda:0\nā āāā flux1-dev-fp8.safetensors\nāāā š£ cuda:1\nā āāā ae.safetensors\nā āāā Florence-2-large-PromptGen-v2.0\nāāā āļø cpu\n āāā t5xxl_fp8_e4m3fn_scaled.safetensors\n āāā clip_l.safetensors\n```"
+ ],
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
+ }
+ ],
+ "links": [
+ [
+ 9,
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+ ],
+ [
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+ ],
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+ ],
+ [
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+ "extra": {
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+ "offset": [
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+ "frontendVersion": "1.27.10",
+ "groupNodes": {},
+ "VHS_latentpreview": false,
+ "VHS_latentpreviewrate": 0,
+ "VHS_MetadataImage": true,
+ "VHS_KeepIntermediate": true
+ },
+ "version": 0.4
+}
\ No newline at end of file
diff --git a/example_workflows/ComfyUI-GGUF flux unet dual_clip loaders.jpg b/example_workflows/ComfyUI-GGUF flux unet dual_clip loaders.jpg
new file mode 100755
index 0000000..1531415
Binary files /dev/null and b/example_workflows/ComfyUI-GGUF flux unet dual_clip loaders.jpg differ
diff --git a/example_workflows/distorch2/flux_dev_DisTorch2.json b/example_workflows/ComfyUI-GGUF flux unet dual_clip loaders.json
similarity index 54%
rename from example_workflows/distorch2/flux_dev_DisTorch2.json
rename to example_workflows/ComfyUI-GGUF flux unet dual_clip loaders.json
index 085ffbe..daf597c 100755
--- a/example_workflows/distorch2/flux_dev_DisTorch2.json
+++ b/example_workflows/ComfyUI-GGUF flux unet dual_clip loaders.json
@@ -1,22 +1,97 @@
{
- "id": "3c55bda9-d06f-4dc1-a571-cb6ea8f647e8",
+ "id": "4d231a10-da3b-4b12-8698-449accd4b87a",
"revision": 0,
- "last_node_id": 136,
- "last_link_id": 295,
+ "last_node_id": 45,
+ "last_link_id": 121,
"nodes": [
+ {
+ "id": 16,
+ "type": "KSamplerSelect",
+ "pos": [
+ 480,
+ 912
+ ],
+ "size": [
+ 315,
+ 58
+ ],
+ "flags": {},
+ "order": 0,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [
+ {
+ "name": "SAMPLER",
+ "type": "SAMPLER",
+ "links": [
+ 19
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
+ "Node name for S&R": "KSamplerSelect"
+ },
+ "widgets_values": [
+ "euler"
+ ]
+ },
+ {
+ "id": 26,
+ "type": "FluxGuidance",
+ "pos": [
+ 480,
+ 144
+ ],
+ "size": [
+ 317.4000244140625,
+ 58
+ ],
+ "flags": {},
+ "order": 12,
+ "mode": 0,
+ "inputs": [
+ {
+ "name": "conditioning",
+ "type": "CONDITIONING",
+ "link": 41
+ }
+ ],
+ "outputs": [
+ {
+ "name": "CONDITIONING",
+ "type": "CONDITIONING",
+ "slot_index": 0,
+ "links": [
+ 42
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
+ "Node name for S&R": "FluxGuidance"
+ },
+ "widgets_values": [
+ 3.5
+ ],
+ "color": "#233",
+ "bgcolor": "#355"
+ },
{
"id": 22,
"type": "BasicGuider",
"pos": [
- 852.2776489257812,
- -113.5096435546875
+ 576,
+ 48
],
"size": [
222.3482666015625,
46
],
"flags": {},
- "order": 10,
+ "order": 13,
"mode": 0,
"inputs": [
{
@@ -41,6 +116,8 @@
}
],
"properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
"Node name for S&R": "BasicGuider"
},
"widgets_values": []
@@ -49,15 +126,15 @@
"id": 13,
"type": "SamplerCustomAdvanced",
"pos": [
- 1162.46533203125,
- 79.54632568359375
+ 864,
+ 192
],
"size": [
- 566.427001953125,
- 688.7268676757812
+ 272.3617858886719,
+ 326
],
"flags": {},
- "order": 11,
+ "order": 14,
"mode": 0,
"inputs": [
{
@@ -83,7 +160,7 @@
{
"name": "latent_image",
"type": "LATENT",
- "link": 178
+ "link": 116
}
],
"outputs": [
@@ -102,6 +179,8 @@
}
],
"properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
"Node name for S&R": "SamplerCustomAdvanced"
},
"widgets_values": []
@@ -110,15 +189,15 @@
"id": 25,
"type": "RandomNoise",
"pos": [
- 470.26251220703125,
- 444.5785827636719
+ 480,
+ 768
],
"size": [
- 412.7810363769531,
+ 315,
82
],
"flags": {},
- "order": 0,
+ "order": 1,
"mode": 0,
"inputs": [],
"outputs": [
@@ -131,55 +210,86 @@
}
],
"properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
"Node name for S&R": "RandomNoise"
},
"widgets_values": [
- 36218255195780,
+ 411099137945992,
"randomize"
],
"color": "#2a363b",
"bgcolor": "#3f5159"
},
{
- "id": 16,
- "type": "KSamplerSelect",
+ "id": 30,
+ "type": "ModelSamplingFlux",
"pos": [
- 484.6856689453125,
- 587.7680053710938
+ 480,
+ 1152
],
"size": [
- 394.4875793457031,
- 58.668025970458984
+ 315,
+ 130
],
"flags": {},
- "order": 1,
+ "order": 9,
"mode": 0,
- "inputs": [],
+ "inputs": [
+ {
+ "name": "model",
+ "type": "MODEL",
+ "link": 120
+ },
+ {
+ "name": "width",
+ "type": "INT",
+ "widget": {
+ "name": "width"
+ },
+ "link": 115
+ },
+ {
+ "name": "height",
+ "type": "INT",
+ "widget": {
+ "name": "height"
+ },
+ "link": 114
+ }
+ ],
"outputs": [
{
- "name": "SAMPLER",
- "type": "SAMPLER",
+ "name": "MODEL",
+ "type": "MODEL",
+ "slot_index": 0,
"links": [
- 19
+ 54,
+ 55
]
}
],
"properties": {
- "Node name for S&R": "KSamplerSelect"
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
+ "Node name for S&R": "ModelSamplingFlux"
},
"widgets_values": [
- "euler"
+ 1.15,
+ 0.5,
+ 1024,
+ 1024
]
},
{
- "id": 17,
- "type": "BasicScheduler",
+ "id": 27,
+ "type": "EmptySD3LatentImage",
"pos": [
- 509.7876892089844,
- 702.4910888671875
+ 480,
+ 624
],
"size": [
- 398.4141845703125,
+ 315,
106
],
"flags": {},
@@ -187,71 +297,136 @@
"mode": 0,
"inputs": [
{
- "name": "model",
- "type": "MODEL",
- "link": 295
+ "name": "width",
+ "type": "INT",
+ "widget": {
+ "name": "width"
+ },
+ "link": 112
+ },
+ {
+ "name": "height",
+ "type": "INT",
+ "widget": {
+ "name": "height"
+ },
+ "link": 113
}
],
"outputs": [
{
- "name": "SIGMAS",
- "type": "SIGMAS",
+ "name": "LATENT",
+ "type": "LATENT",
+ "slot_index": 0,
"links": [
- 20
+ 116
]
}
],
"properties": {
- "Node name for S&R": "BasicScheduler"
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
+ "Node name for S&R": "EmptySD3LatentImage"
},
"widgets_values": [
- "normal",
- 28,
+ 1024,
+ 1024,
1
]
},
{
- "id": 9,
- "type": "SaveImage",
+ "id": 34,
+ "type": "PrimitiveNode",
"pos": [
- 1812.6654052734375,
- -154.47837829589844
+ 432,
+ 480
],
"size": [
- 1308.1181640625,
- 1063.59521484375
+ 210,
+ 82
],
"flags": {},
- "order": 13,
+ "order": 2,
"mode": 0,
- "inputs": [
+ "inputs": [],
+ "outputs": [
{
- "name": "images",
- "type": "IMAGE",
- "link": 9
+ "name": "INT",
+ "type": "INT",
+ "widget": {
+ "name": "width"
+ },
+ "slot_index": 0,
+ "links": [
+ 112,
+ 115
+ ]
}
],
- "outputs": [],
+ "title": "width",
"properties": {
- "Node name for S&R": "SaveImage"
+ "Run widget replace on values": false
},
"widgets_values": [
- "ComfyUI"
- ]
+ 1024,
+ "fixed"
+ ],
+ "color": "#323",
+ "bgcolor": "#535"
+ },
+ {
+ "id": 35,
+ "type": "PrimitiveNode",
+ "pos": [
+ 672,
+ 480
+ ],
+ "size": [
+ 210,
+ 82
+ ],
+ "flags": {},
+ "order": 3,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [
+ {
+ "name": "INT",
+ "type": "INT",
+ "widget": {
+ "name": "height"
+ },
+ "slot_index": 0,
+ "links": [
+ 113,
+ 114
+ ]
+ }
+ ],
+ "title": "height",
+ "properties": {
+ "Run widget replace on values": false
+ },
+ "widgets_values": [
+ 1024,
+ "fixed"
+ ],
+ "color": "#323",
+ "bgcolor": "#535"
},
{
"id": 8,
"type": "VAEDecode",
"pos": [
- 1500.7164306640625,
- -139.140380859375
+ 883.333251953125,
+ 602.3333129882812
],
"size": [
- 233.40155029296875,
+ 210,
46
],
"flags": {},
- "order": 12,
+ "order": 15,
"mode": 0,
"inputs": [
{
@@ -262,7 +437,7 @@
{
"name": "vae",
"type": "VAE",
- "link": 279
+ "link": 119
}
],
"outputs": [
@@ -276,105 +451,182 @@
}
],
"properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
"Node name for S&R": "VAEDecode"
},
"widgets_values": []
},
{
- "id": 71,
- "type": "EmptySD3LatentImage",
+ "id": 40,
+ "type": "VAELoaderMultiGPU",
"pos": [
- 781.7842407226562,
- 174.56484985351562
+ 38.24152755737305,
+ 451.91839599609375
],
"size": [
- 210,
- 106
+ 250.19544982910156,
+ 83.10191345214844
],
"flags": {},
- "order": 2,
+ "order": 4,
"mode": 0,
"inputs": [],
"outputs": [
{
- "name": "LATENT",
- "type": "LATENT",
- "slot_index": 0,
+ "name": "VAE",
+ "type": "VAE",
"links": [
- 178
+ 119
]
}
],
"properties": {
- "Node name for S&R": "EmptySD3LatentImage"
+ "cnr_id": "comfyui-multigpu",
+ "ver": "0d6dfc7524472943ba912a6ec3088757edba15c3",
+ "Node name for S&R": "VAELoaderMultiGPU"
},
"widgets_values": [
- 1024,
- 1024,
- 1
+ "ae.safetensors",
+ "cuda:1"
],
- "color": "#222",
- "bgcolor": "#000"
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
},
{
- "id": 26,
- "type": "FluxGuidance",
+ "id": 17,
+ "type": "BasicScheduler",
"pos": [
- 346.12701416015625,
- -30.19463348388672
+ 478.0481262207031,
+ 1008.0003662109375
],
"size": [
- 317.4000244140625,
- 58
+ 315,
+ 106
],
"flags": {},
- "order": 9,
+ "order": 11,
"mode": 0,
"inputs": [
{
- "name": "conditioning",
- "type": "CONDITIONING",
- "link": 41
+ "name": "model",
+ "type": "MODEL",
+ "link": 55
}
],
"outputs": [
{
- "name": "CONDITIONING",
- "type": "CONDITIONING",
- "slot_index": 0,
+ "name": "SIGMAS",
+ "type": "SIGMAS",
"links": [
- 42
+ 20
]
}
],
"properties": {
- "Node name for S&R": "FluxGuidance"
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
+ "Node name for S&R": "BasicScheduler"
},
"widgets_values": [
- 3.5
+ "simple",
+ 20,
+ 1
+ ]
+ },
+ {
+ "id": 44,
+ "type": "UnetLoaderGGUFMultiGPU",
+ "pos": [
+ 31.3530216217041,
+ 157.298828125
],
- "color": "#233",
- "bgcolor": "#355"
+ "size": [
+ 273.4029235839844,
+ 82
+ ],
+ "flags": {},
+ "order": 5,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [
+ {
+ "name": "MODEL",
+ "type": "MODEL",
+ "links": [
+ 120
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "comfyui-multigpu",
+ "ver": "0d6dfc7524472943ba912a6ec3088757edba15c3",
+ "Node name for S&R": "UnetLoaderGGUFMultiGPU"
+ },
+ "widgets_values": [
+ "flux1-dev-Q4_K_S.gguf",
+ "cuda:0"
+ ],
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
+ },
+ {
+ "id": 45,
+ "type": "DualCLIPLoaderGGUFMultiGPU",
+ "pos": [
+ 22.15631866455078,
+ 274.3656311035156
+ ],
+ "size": [
+ 303.7476501464844,
+ 130
+ ],
+ "flags": {},
+ "order": 6,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [
+ {
+ "name": "CLIP",
+ "type": "CLIP",
+ "links": [
+ 121
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "comfyui-multigpu",
+ "ver": "0d6dfc7524472943ba912a6ec3088757edba15c3",
+ "Node name for S&R": "DualCLIPLoaderGGUFMultiGPU"
+ },
+ "widgets_values": [
+ "t5-v1_1-xxl-encoder-Q4_K_S.gguf",
+ "clip_l.safetensors",
+ "flux",
+ "cpu"
+ ],
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
},
{
"id": 6,
"type": "CLIPTextEncode",
"pos": [
- -81.70205688476562,
- -33.01286315917969
+ 384,
+ 240
],
"size": [
- 391.4284973144531,
- 176.46835327148438
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+ 164.31304931640625
],
"flags": {},
- "order": 6,
+ "order": 10,
"mode": 0,
"inputs": [
{
"name": "clip",
"type": "CLIP",
- "link": 293
+ "link": 121
}
],
"outputs": [
@@ -389,164 +641,70 @@
],
"title": "CLIP Text Encode (Positive Prompt)",
"properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": [
- "A towering technological monolith in a cyberpunk cityscape at night, with \"DisTorch 2\" emblazoned across its surface in massive neon blue-green mixed with purple letters that illuminate the surrounding buildings. The text occupies the central third of the frame, crafted from glowing plasma tubes and crackling energy. The model file suffix \"now with .safetensors!\" in same stying but smaller font directly underneath. Rain-slicked streets below reflect the brilliant signage, while holographic advertisements and flying vehicles populate the background. Moody atmospheric lighting, heavy contrast, photorealistic textures, cinematic color grading. "
+ "A towering technological monolith in a cyberpunk cityscape at night, with \"GGUF\" emblazoned across its surface in massive neon blue-green mixed with purple letters that illuminate the surrounding buildings. The text occupies the central third of the frame, crafted from glowing plasma tubes and crackling energy. Rain-slicked streets below reflect the brilliant signage, while holographic advertisements and flying vehicles populate the background. Moody atmospheric lighting, heavy contrast, photorealistic textures, cinematic color grading. "
],
"color": "#232",
"bgcolor": "#353"
},
{
- "id": 136,
- "type": "DualCLIPLoaderMultiGPU",
+ "id": 9,
+ "type": "SaveImage",
"pos": [
- -558.3677978515625,
- -36.014400482177734
+ 1155,
+ 196
],
"size": [
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- 130
+ 528.3246459960938,
+ 705.4493408203125
],
"flags": {},
- "order": 3,
+ "order": 16,
"mode": 0,
- "inputs": [],
- "outputs": [
+ "inputs": [
{
- "name": "CLIP",
- "type": "CLIP",
- "links": [
- 293
- ]
+ "name": "images",
+ "type": "IMAGE",
+ "link": 9
}
],
+ "outputs": [],
"properties": {
- "Node name for S&R": "DualCLIPLoaderMultiGPU"
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
+ "Node name for S&R": "SaveImage"
},
"widgets_values": [
- "t5xxl_fp8_e4m3fn.safetensors",
- "clip_l.safetensors",
- "flux",
- "cuda:1"
- ],
- "color": "#233",
- "bgcolor": "#355"
+ "MultiGPU"
+ ]
},
{
- "id": 133,
- "type": "UNETLoaderDisTorch2MultiGPU",
+ "id": 42,
+ "type": "MarkdownNote",
"pos": [
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+ -569.0946655273438,
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- 295
- ]
- }
- ],
- "properties": {
- "Node name for S&R": "UNETLoaderDisTorch2MultiGPU"
- },
- "widgets_values": [
- "flux1-dev-fp8.safetensors",
- "default",
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- 4,
- "cpu",
- ""
- ],
- "color": "#233",
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- ],
- "size": [
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+ 581.2379150390625,
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"flags": {},
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- }
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- "outputs": [
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- "name": "MODEL",
- "type": "MODEL",
- "slot_index": 0,
- "links": [
- 54
- ]
- }
- ],
- "properties": {
- "Node name for S&R": "ModelSamplingFlux"
- },
- "widgets_values": [
- 1.15,
- 0.5,
- 1024,
- 1024
- ]
- },
- {
- "id": 60,
- "type": "VAELoaderMultiGPU",
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- ],
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- ],
- "flags": {},
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- "name": "VAE",
- "type": "VAE",
- "slot_index": 0,
- "links": [
- 279
- ]
- }
- ],
- "properties": {
- "Node name for S&R": "VAELoaderMultiGPU"
- },
+ "outputs": [],
+ "title": "ComfyUI-MultiGPU Note - ComfyUI-GGUF UNETLoader, DualClipLoader Workflow",
+ "properties": {},
"widgets_values": [
- "ae.safetensors",
- "cuda:1"
+ "A standard FLUX.dev workflow with GGUF UNet and CLIP to test ComfyUI-GGUF integration. In this case we are using standard MultiGPU-wrapped nodes to move model components to their own device.\n## Custom Node\n- [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF)\n- [ComfyUI-MultiGPU](https://github.com/pollockjj/ComfyUI-MultiGPU)\n```\nš ComfyUI/\nāāā š custom_nodes/\nā āāā š ComfyUI-GGUF/\nā āāā š ComfyUI-MultiGPU/\n```\n## Model links\n\n**Diffusion model**\n- [flux1-dev-Q4_K_S.gguf](https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q4_K_S.gguf)\n\n**CLIP**\n- [t5-v1_1-xxl-encoder-Q4_K_S.gguf](https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf/resolve/main/t5-v1_1-xxl-encoder-Q4_K_S.gguf)\n- [clip_l.safetensors](https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/clip_l.safetensors)\n\n**VAE**\n- [ae.safetensors](https://huggingface.co/black-forest-labs/FLUX.1-dev/resolve/main/ae.safetensors)\n\nModel Storage Location\n\n```\nš ComfyUI/\nāāā š models/\nā āāā š clip/\nā ā āāā t5-v1_1-xxl-encoder-Q4_K_S.gguf\nā ā āāā clip_l.safetensors\nā āāā š unet/\nā ā āāā flux1-dev-Q4_K_S.gguf\nā āāā š vae/\nā ā āāā ae.safetensors]\n```\n## Device Mapping (Example: Two GPUs, 1 CPU)\n```\nš„ļø system \nāāā š¢ cuda:0\nā āāā flux1-dev-Q4_K_S.gguf\nāāā š£ cuda:1\nā āāā ae.safetensors\nāāā āļø cpu\n āāā t5-v1_1-xxl-encoder-Q4_K_S.gguf\n āāā clip_l.safetensors\n```"
],
- "color": "#233",
- "bgcolor": "#355"
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
}
],
"links": [
@@ -623,68 +781,92 @@
"MODEL"
],
[
- 178,
- 71,
+ 55,
+ 30,
+ 0,
+ 17,
+ 0,
+ "MODEL"
+ ],
+ [
+ 112,
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+ 0,
+ 27,
+ 0,
+ "INT"
+ ],
+ [
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+ 35,
+ 0,
+ 27,
+ 1,
+ "INT"
+ ],
+ [
+ 114,
+ 35,
+ 0,
+ 30,
+ 2,
+ "INT"
+ ],
+ [
+ 115,
+ 34,
+ 0,
+ 30,
+ 1,
+ "INT"
+ ],
+ [
+ 116,
+ 27,
0,
13,
4,
"LATENT"
],
[
- 279,
- 60,
+ 119,
+ 40,
0,
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"VAE"
],
[
- 293,
- 136,
- 0,
- 6,
- 0,
- "CLIP"
- ],
- [
- 294,
- 133,
+ 120,
+ 44,
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30,
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],
[
- 295,
- 133,
+ 121,
+ 45,
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- 17,
+ 6,
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- "MODEL"
+ "CLIP"
]
],
"groups": [],
"config": {},
"extra": {
"ds": {
- "scale": 0.6115909044841529,
+ "scale": 0.9090909090909091,
"offset": [
- 1204.2248231557692,
- 953.8392783594873
+ 753.354087714039,
+ -35.46859036092216
]
},
- "frontendVersion": "1.24.4",
+ "frontendVersion": "1.27.10",
"groupNodes": {},
- "node_versions": {
- "comfy-core": "0.3.27",
- "comfyui-kjnodes": "86b5453a5ca9ecb883eedc9d0a96bf942b9ca73e",
- "ComfyUI-MultiGPU": "1bf9333fc7f1d230282a6bc9946cfeabb9801969",
- "comfyui-art-venture": "50abaace756b96f5f5dc2c9d72826ef371afd45e",
- "Comfy-WaveSpeed": "3db162bb7ad56b84a452a4778527da63793c0e87"
- },
"VHS_latentpreview": false,
"VHS_latentpreviewrate": 0,
- "ue_links": [],
"VHS_MetadataImage": true,
"VHS_KeepIntermediate": true
},
diff --git a/example_workflows/ComfyUI-GGUF qwen_image unet distorch2 cliploader.jpg b/example_workflows/ComfyUI-GGUF qwen_image unet distorch2 cliploader.jpg
new file mode 100755
index 0000000..53d1cfe
Binary files /dev/null and b/example_workflows/ComfyUI-GGUF qwen_image unet distorch2 cliploader.jpg differ
diff --git a/example_workflows/distorch2/qwen_image_basic_DisTorch2.json b/example_workflows/ComfyUI-GGUF qwen_image unet distorch2 cliploader.json
similarity index 61%
rename from example_workflows/distorch2/qwen_image_basic_DisTorch2.json
rename to example_workflows/ComfyUI-GGUF qwen_image unet distorch2 cliploader.json
index 0b78419..4244a26 100755
--- a/example_workflows/distorch2/qwen_image_basic_DisTorch2.json
+++ b/example_workflows/ComfyUI-GGUF qwen_image unet distorch2 cliploader.json
@@ -1,153 +1,9 @@
{
"id": "91f6bbe2-ed41-4fd6-bac7-71d5b5864ecb",
"revision": 0,
- "last_node_id": 74,
- "last_link_id": 134,
+ "last_node_id": 77,
+ "last_link_id": 137,
"nodes": [
- {
- "id": 8,
- "type": "VAEDecode",
- "pos": [
- 1210,
- 190
- ],
- "size": [
- 210,
- 46
- ],
- "flags": {},
- "order": 10,
- "mode": 0,
- "inputs": [
- {
- "name": "samples",
- "type": "LATENT",
- "link": 128
- },
- {
- "name": "vae",
- "type": "VAE",
- "link": 130
- }
- ],
- "outputs": [
- {
- "name": "IMAGE",
- "type": "IMAGE",
- "slot_index": 0,
- "links": [
- 110
- ]
- }
- ],
- "properties": {
- "Node name for S&R": "VAEDecode"
- },
- "widgets_values": []
- },
- {
- "id": 60,
- "type": "SaveImage",
- "pos": [
- 1478.3486328125,
- 190.30274963378906
- ],
- "size": [
- 821.0496215820312,
- 871.7067260742188
- ],
- "flags": {},
- "order": 11,
- "mode": 0,
- "inputs": [
- {
- "name": "images",
- "type": "IMAGE",
- "link": 110
- }
- ],
- "outputs": [],
- "properties": {
- "Node name for S&R": "SaveImage"
- },
- "widgets_values": [
- "ComfyUI"
- ]
- },
- {
- "id": 58,
- "type": "EmptySD3LatentImage",
- "pos": [
- 410.6574401855469,
- 620.5468139648438
- ],
- "size": [
- 270,
- 106
- ],
- "flags": {},
- "order": 0,
- "mode": 0,
- "inputs": [],
- "outputs": [
- {
- "name": "LATENT",
- "type": "LATENT",
- "links": [
- 107
- ]
- }
- ],
- "properties": {
- "Node name for S&R": "EmptySD3LatentImage"
- },
- "widgets_values": [
- 1328,
- 1328,
- 1
- ]
- },
- {
- "id": 7,
- "type": "CLIPTextEncode",
- "pos": [
- 413,
- 389
- ],
- "size": [
- 425.27801513671875,
- 180.6060791015625
- ],
- "flags": {},
- "order": 7,
- "mode": 0,
- "inputs": [
- {
- "name": "clip",
- "type": "CLIP",
- "link": 75
- }
- ],
- "outputs": [
- {
- "name": "CONDITIONING",
- "type": "CONDITIONING",
- "slot_index": 0,
- "links": [
- 52
- ]
- }
- ],
- "title": "CLIP Text Encode (Negative Prompt)",
- "properties": {
- "Node name for S&R": "CLIPTextEncode"
- },
- "widgets_values": [
- " "
- ],
- "color": "#322",
- "bgcolor": "#533"
- },
{
"id": 3,
"type": "KSampler",
@@ -160,7 +16,7 @@
474
],
"flags": {},
- "order": 9,
+ "order": 8,
"mode": 0,
"inputs": [
{
@@ -195,10 +51,12 @@
}
],
"properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
"Node name for S&R": "KSampler"
},
"widgets_values": [
- 460967899514521,
+ 174815108394042,
"randomize",
20,
2.5,
@@ -208,87 +66,117 @@
]
},
{
- "id": 38,
- "type": "CLIPLoader",
+ "id": 66,
+ "type": "ModelSamplingAuraFlow",
"pos": [
- -38.50741195678711,
- 203.00167846679688
+ 459.40179443359375,
+ -35.1873779296875
],
"size": [
- 380,
+ 270,
+ 58
+ ],
+ "flags": {},
+ "order": 7,
+ "mode": 0,
+ "inputs": [
+ {
+ "name": "model",
+ "type": "MODEL",
+ "link": 137
+ }
+ ],
+ "outputs": [
+ {
+ "name": "MODEL",
+ "type": "MODEL",
+ "links": [
+ 125
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
+ "Node name for S&R": "ModelSamplingAuraFlow"
+ },
+ "widgets_values": [
+ 3.1000000000000005
+ ]
+ },
+ {
+ "id": 76,
+ "type": "CLIPLoaderGGUFMultiGPU",
+ "pos": [
+ -28.469432830810547,
+ 225.77920532226562
+ ],
+ "size": [
+ 360.6989440917969,
106
],
"flags": {},
+ "order": 0,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [
+ {
+ "name": "CLIP",
+ "type": "CLIP",
+ "links": [
+ 135,
+ 136
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "comfyui-multigpu",
+ "ver": "0d6dfc7524472943ba912a6ec3088757edba15c3",
+ "Node name for S&R": "CLIPLoaderGGUFMultiGPU"
+ },
+ "widgets_values": [
+ "Qwen2.5-VL-7B-Instruct-Q4_K_S.gguf",
+ "qwen_image",
+ "cuda:1"
+ ],
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
+ },
+ {
+ "id": 70,
+ "type": "VAELoaderMultiGPU",
+ "pos": [
+ -30.621204376220703,
+ 408.86016845703125
+ ],
+ "size": [
+ 367.14569091796875,
+ 82
+ ],
+ "flags": {},
"order": 1,
"mode": 0,
"inputs": [],
"outputs": [
{
- "name": "CLIP",
- "type": "CLIP",
- "slot_index": 0,
+ "name": "VAE",
+ "type": "VAE",
"links": [
- 74,
- 75
+ 130
]
}
],
"properties": {
- "Node name for S&R": "CLIPLoader"
+ "cnr_id": "comfyui-multigpu",
+ "ver": "0d6dfc7524472943ba912a6ec3088757edba15c3",
+ "Node name for S&R": "VAELoaderMultiGPU"
},
"widgets_values": [
- "qwen_2.5_vl_7b_fp8_scaled.safetensors",
- "qwen_image",
- "cpu"
+ "qwen_image_vae.safetensors",
+ "cuda:1"
],
- "color": "#223",
- "bgcolor": "#335"
- },
- {
- "id": 68,
- "type": "Note",
- "pos": [
- 913.0664672851562,
- -0.3729564845561981
- ],
- "size": [
- 261.87744140625,
- 102.99000549316406
- ],
- "flags": {},
- "order": 2,
- "mode": 0,
- "inputs": [],
- "outputs": [],
- "properties": {},
- "widgets_values": [
- "Increase the shift if you get too many blury/dark/bad images. Decrease if you want to try increasing detail."
- ],
- "color": "#432",
- "bgcolor": "#653"
- },
- {
- "id": 67,
- "type": "Note",
- "pos": [
- 874.5732421875,
- 755.3063354492188
- ],
- "size": [
- 307.4002380371094,
- 127.38092803955078
- ],
- "flags": {},
- "order": 3,
- "mode": 0,
- "inputs": [],
- "outputs": [],
- "properties": {},
- "widgets_values": [
- "Set cfg to 1.0 for a speed boost at the cost of consistency. Samplers like res_multistep work pretty well at cfg 1.0\n\nThe official number of steps is 50 but I think that's too much. Even just 10 steps seems to work."
- ],
- "color": "#432",
- "bgcolor": "#653"
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
},
{
"id": 6,
@@ -308,7 +196,7 @@
{
"name": "clip",
"type": "CLIP",
- "link": 74
+ "link": 136
}
],
"outputs": [
@@ -323,122 +211,233 @@
],
"title": "CLIP Text Encode (Positive Prompt)",
"properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": [
- "A towering technological monolith in a cyberpunk cityscape at night, with \"DisTorch 2\" emblazoned across its surface in massive neon blue-green mixed with purple letters that illuminate the surrounding buildings. The text occupies the central third of the frame, crafted from glowing plasma tubes and crackling energy. \"now with .safetensors!\" in same styling but smaller, italic version of the font splashed in the lower right-hand corner of the image. Rain-slicked streets below reflect the brilliant signage, while holographic advertisements and flying vehicles populate the background. Moody atmospheric lighting, heavy contrast, photorealistic textures, cinematic color grading. "
+ "A towering technological monolith in a cyberpunk cityscape at night, with \"GGUF DisTorch 2\" emblazoned across its surface in massive neon blue-green mixed with purple letters that illuminate the surrounding buildings. The text occupies the central third of the frame, crafted from glowing plasma tubes and crackling energy. Rain-slicked streets below reflect the brilliant signage, while holographic advertisements and flying vehicles populate the background. Moody atmospheric lighting, heavy contrast, photorealistic textures, cinematic color grading. "
],
"color": "#232",
"bgcolor": "#353"
},
{
- "id": 70,
- "type": "VAELoaderMultiGPU",
+ "id": 8,
+ "type": "VAEDecode",
"pos": [
- -30.621204376220703,
- 408.86016845703125
+ 932.9422607421875,
+ 11.704089164733887
],
"size": [
- 337.2979431152344,
- 82
+ 210,
+ 46
+ ],
+ "flags": {},
+ "order": 9,
+ "mode": 0,
+ "inputs": [
+ {
+ "name": "samples",
+ "type": "LATENT",
+ "link": 128
+ },
+ {
+ "name": "vae",
+ "type": "VAE",
+ "link": 130
+ }
+ ],
+ "outputs": [
+ {
+ "name": "IMAGE",
+ "type": "IMAGE",
+ "slot_index": 0,
+ "links": [
+ 110
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
+ "Node name for S&R": "VAEDecode"
+ },
+ "widgets_values": []
+ },
+ {
+ "id": 7,
+ "type": "CLIPTextEncode",
+ "pos": [
+ 422.6140441894531,
+ 397.7400207519531
+ ],
+ "size": [
+ 425.27801513671875,
+ 182.3540496826172
+ ],
+ "flags": {
+ "collapsed": true
+ },
+ "order": 5,
+ "mode": 0,
+ "inputs": [
+ {
+ "name": "clip",
+ "type": "CLIP",
+ "link": 135
+ }
+ ],
+ "outputs": [
+ {
+ "name": "CONDITIONING",
+ "type": "CONDITIONING",
+ "slot_index": 0,
+ "links": [
+ 52
+ ]
+ }
+ ],
+ "title": "CLIP Text Encode (Negative Prompt)",
+ "properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
+ "Node name for S&R": "CLIPTextEncode"
+ },
+ "widgets_values": [
+ " "
+ ],
+ "color": "#322",
+ "bgcolor": "#533"
+ },
+ {
+ "id": 58,
+ "type": "EmptySD3LatentImage",
+ "pos": [
+ 448.2394104003906,
+ 480.706787109375
+ ],
+ "size": [
+ 270,
+ 106
+ ],
+ "flags": {},
+ "order": 2,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [
+ {
+ "name": "LATENT",
+ "type": "LATENT",
+ "links": [
+ 107
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
+ "Node name for S&R": "EmptySD3LatentImage"
+ },
+ "widgets_values": [
+ 1328,
+ 1328,
+ 1
+ ]
+ },
+ {
+ "id": 77,
+ "type": "UnetLoaderGGUFDisTorch2MultiGPU",
+ "pos": [
+ -30.83705711364746,
+ -24.04859733581543
+ ],
+ "size": [
+ 363.6120910644531,
+ 185.86599731445312
+ ],
+ "flags": {},
+ "order": 3,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [
+ {
+ "name": "MODEL",
+ "type": "MODEL",
+ "links": [
+ 137
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "comfyui-multigpu",
+ "ver": "0d6dfc7524472943ba912a6ec3088757edba15c3",
+ "Node name for S&R": "UnetLoaderGGUFDisTorch2MultiGPU"
+ },
+ "widgets_values": [
+ "qwen-image-Q3_K_S.gguf",
+ "cuda:0",
+ 4.2,
+ "cpu",
+ "",
+ true
+ ],
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
+ },
+ {
+ "id": 75,
+ "type": "MarkdownNote",
+ "pos": [
+ -713.5603637695312,
+ -38.757911682128906
+ ],
+ "size": [
+ 648.826904296875,
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],
"flags": {},
"order": 4,
"mode": 0,
"inputs": [],
- "outputs": [
- {
- "name": "VAE",
- "type": "VAE",
- "links": [
- 130
- ]
- }
- ],
- "properties": {
- "Node name for S&R": "VAELoaderMultiGPU"
- },
+ "outputs": [],
+ "title": "ComfyUI-MultiGPU Note - ComfyUI-GGUF UNETDisTorch2Loader, DualClipLoader Workflow",
+ "properties": {},
"widgets_values": [
- "qwen_image_vae.safetensors",
- "cuda:1"
+ "A DisTorch2 FLUX.dev workflow with GGUF UNet DisTorch2 and CLIP to test ComfyUI-GGUF integration. In this case we are using the DisTorch2 node to statically allocate approximately half of the main UNet model to the cpu.\n\n## Custom Node\n- [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF)\n- [ComfyUI-MultiGPU](https://github.com/pollockjj/ComfyUI-MultiGPU)\n```\nš ComfyUI/\nāāā š custom_nodes/\nā āāā š ComfyUI-GGUF/\nā āāā š ComfyUI-MultiGPU/\n```\n## Model links\n\n**Diffusion model**\n- [qwen-image-Q3_K_S.gguf](https://huggingface.co/city96/Qwen-Image-gguf/resolve/main/qwen-image-Q3_K_S.gguf)\n\n**CLIP**\n- [Qwen2.5-VL-7B-Instruct-Q4_K_S.gguf](https://huggingface.co/unsloth/Qwen2.5-VL-7B-Instruct-GGUF/resolve/main/Qwen2.5-VL-7B-Instruct-Q4_K_S.gguf)\n\n**VAE**\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/blob/main/split_files/vae/qwen_image_vae.safetensors)\n\nModel Storage Location\n\n```\nš ComfyUI/\nāāā š models/\nā āāā š clip/\nā ā āāā Qwen2.5-VL-7B-Instruct-Q4_K_S.gguf\nā āāā š unet/\nā ā āāā qwen-image-Q3_K_S.gguf [š©š©š©š©š©āļøāļøāļøāļøāļø]\nā āāā š vae/\nā ā āāā qwen_image_vae.safetensors\n```\n\n```\nš„ļø Device Mapping\nāāā š¢ cuda:0\nā āāā qwen-image-Q3_K_S.gguf [š©š©š©š©š©]\nāāā š£ cuda:1\nā āāā Qwen2.5-VL-7B-Instruct-Q4_K_S.gguf\nā āāā qwen_image_vae.safetensors\nāāā āļø cpu\nā āāā qwen-image-Q3_K_S.gguf [āļøāļøāļøāļøāļø]\n\n```"
],
- "color": "#233",
- "bgcolor": "#355"
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
},
{
- "id": 66,
- "type": "ModelSamplingAuraFlow",
+ "id": 60,
+ "type": "SaveImage",
"pos": [
- 459.40179443359375,
- -35.1873779296875
+ 1275.1832275390625,
+ -41.704383850097656
],
"size": [
- 270,
- 58
+ 821.0496215820312,
+ 871.7067260742188
],
"flags": {},
- "order": 8,
+ "order": 10,
"mode": 0,
"inputs": [
{
- "name": "model",
- "type": "MODEL",
- "link": 134
- }
- ],
- "outputs": [
- {
- "name": "MODEL",
- "type": "MODEL",
- "links": [
- 125
- ]
+ "name": "images",
+ "type": "IMAGE",
+ "link": 110
}
],
+ "outputs": [],
"properties": {
- "Node name for S&R": "ModelSamplingAuraFlow"
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
+ "Node name for S&R": "SaveImage"
},
"widgets_values": [
- 3.1000000000000005
+ "MultiGPU"
]
- },
- {
- "id": 71,
- "type": "UNETLoaderDisTorch2MultiGPU",
- "pos": [
- -18.269481658935547,
- -40.56364059448242
- ],
- "size": [
- 351.41351318359375,
- 179.5890655517578
- ],
- "flags": {},
- "order": 5,
- "mode": 0,
- "inputs": [],
- "outputs": [
- {
- "name": "MODEL",
- "type": "MODEL",
- "links": [
- 134
- ]
- }
- ],
- "properties": {
- "Node name for S&R": "UNETLoaderDisTorch2MultiGPU"
- },
- "widgets_values": [
- "qwen_image_fp8_e4m3fn.safetensors",
- "fp8_e4m3fn",
- "cuda:0",
- 4,
- "cpu",
- ""
- ],
- "color": "#233",
- "bgcolor": "#355"
}
],
"links": [
@@ -458,22 +457,6 @@
2,
"CONDITIONING"
],
- [
- 74,
- 38,
- 0,
- 6,
- 0,
- "CLIP"
- ],
- [
- 75,
- 38,
- 0,
- 7,
- 0,
- "CLIP"
- ],
[
107,
58,
@@ -515,8 +498,24 @@
"VAE"
],
[
- 134,
- 71,
+ 135,
+ 76,
+ 0,
+ 7,
+ 0,
+ "CLIP"
+ ],
+ [
+ 136,
+ 76,
+ 0,
+ 6,
+ 0,
+ "CLIP"
+ ],
+ [
+ 137,
+ 77,
0,
66,
0,
@@ -527,13 +526,13 @@
"config": {},
"extra": {
"ds": {
- "scale": 0.9229599817706498,
+ "scale": 0.7627768444385551,
"offset": [
- 81.82659533721916,
- 197.28454065770217
+ 811.7802596892885,
+ 398.7650738399946
]
},
- "frontendVersion": "1.24.4",
+ "frontendVersion": "1.27.10",
"VHS_latentpreview": false,
"VHS_latentpreviewrate": 0,
"VHS_MetadataImage": true,
diff --git a/example_workflows/ComfyUI-WanVideoWrapper wanvideo2_2 I2V A14B GGUF.jpg b/example_workflows/ComfyUI-WanVideoWrapper wanvideo2_2 I2V A14B GGUF.jpg
new file mode 100755
index 0000000..640ba8e
Binary files /dev/null and b/example_workflows/ComfyUI-WanVideoWrapper wanvideo2_2 I2V A14B GGUF.jpg differ
diff --git a/example_workflows/wannvideowrapper/wanvideo2_2_I2V_A14B_example_WIP_Multigpu.json b/example_workflows/ComfyUI-WanVideoWrapper wanvideo2_2 I2V A14B GGUF.json
similarity index 83%
rename from example_workflows/wannvideowrapper/wanvideo2_2_I2V_A14B_example_WIP_Multigpu.json
rename to example_workflows/ComfyUI-WanVideoWrapper wanvideo2_2 I2V A14B GGUF.json
index 4c3dd48..e4fdb45 100755
--- a/example_workflows/wannvideowrapper/wanvideo2_2_I2V_A14B_example_WIP_Multigpu.json
+++ b/example_workflows/ComfyUI-WanVideoWrapper wanvideo2_2 I2V A14B GGUF.json
@@ -1,196 +1,9 @@
{
"id": "c6e410bc-5e2c-460b-ae81-c91b6094fbb1",
"revision": 0,
- "last_node_id": 116,
+ "last_node_id": 117,
"last_link_id": 215,
"nodes": [
- {
- "id": 50,
- "type": "CLIPTextEncode",
- "pos": [
- 354.00396728515625,
- 922.6547241210938
- ],
- "size": [
- 400,
- 200
- ],
- "flags": {},
- "order": 14,
- "mode": 2,
- "inputs": [
- {
- "name": "clip",
- "type": "CLIP",
- "link": 53
- }
- ],
- "outputs": [
- {
- "name": "CONDITIONING",
- "type": "CONDITIONING",
- "slot_index": 0,
- "links": [
- 55
- ]
- }
- ],
- "properties": {
- "cnr_id": "comfy-core",
- "ver": "0.3.44",
- "Node name for S&R": "CLIPTextEncode"
- },
- "widgets_values": [
- "č²č°č³äø½ļ¼čæęļ¼éęļ¼ē»č樔ē³äøęø
ļ¼åå¹ļ¼é£ę ¼ļ¼ä½åļ¼ē»ä½ļ¼ē»é¢ļ¼éę¢ļ¼ę“ä½åē°ļ¼ę差蓨éļ¼ä½č“Øéļ¼JPEGå缩ę®ēļ¼äøéēļ¼ę®ē¼ŗēļ¼å¤ä½ēęęļ¼ē»å¾äøå„½ēęéØļ¼ē»å¾äøå„½ēčøéØļ¼ēøå½¢ēļ¼ęÆå®¹ēļ¼å½¢ęēøå½¢ēč¢ä½ļ¼ęęčåļ¼éę¢äøåØēē»é¢ļ¼ęä¹±ēčęÆļ¼äøę”č
æļ¼čęÆäŗŗå¾å¤ļ¼åēčµ°"
- ],
- "color": "#432",
- "bgcolor": "#653"
- },
- {
- "id": 48,
- "type": "CLIPLoader",
- "pos": [
- -5.996182441711426,
- 672.6546020507812
- ],
- "size": [
- 315,
- 106
- ],
- "flags": {},
- "order": 0,
- "mode": 2,
- "inputs": [],
- "outputs": [
- {
- "name": "CLIP",
- "type": "CLIP",
- "slot_index": 0,
- "links": [
- 52,
- 53
- ]
- }
- ],
- "properties": {
- "cnr_id": "comfy-core",
- "ver": "0.3.44",
- "Node name for S&R": "CLIPLoader"
- },
- "widgets_values": [
- "umt5_xxl_fp16.safetensors",
- "wan",
- "default"
- ],
- "color": "#432",
- "bgcolor": "#653"
- },
- {
- "id": 51,
- "type": "Note",
- "pos": [
- 24.003835678100586,
- 502.65411376953125
- ],
- "size": [
- 253.16725158691406,
- 88
- ],
- "flags": {},
- "order": 1,
- "mode": 0,
- "inputs": [],
- "outputs": [],
- "properties": {},
- "widgets_values": [
- "You can also use native ComfyUI text encoding with these nodes instead of the original, the models are node specific and can't otherwise be mixed."
- ],
- "color": "#432",
- "bgcolor": "#653"
- },
- {
- "id": 49,
- "type": "CLIPTextEncode",
- "pos": [
- 354.00396728515625,
- 672.6546020507812
- ],
- "size": [
- 400,
- 200
- ],
- "flags": {},
- "order": 13,
- "mode": 2,
- "inputs": [
- {
- "name": "clip",
- "type": "CLIP",
- "link": 52
- }
- ],
- "outputs": [
- {
- "name": "CONDITIONING",
- "type": "CONDITIONING",
- "slot_index": 0,
- "links": [
- 54
- ]
- }
- ],
- "properties": {
- "cnr_id": "comfy-core",
- "ver": "0.3.44",
- "Node name for S&R": "CLIPTextEncode"
- },
- "widgets_values": [
- "high quality nature video featuring a red panda balancing on a bamboo stem while a bird lands on it's head, on the background there is a waterfall"
- ],
- "color": "#432",
- "bgcolor": "#653"
- },
- {
- "id": 46,
- "type": "WanVideoTextEmbedBridge",
- "pos": [
- 804.0042724609375,
- 662.6546020507812
- ],
- "size": [
- 315,
- 46
- ],
- "flags": {},
- "order": 21,
- "mode": 2,
- "inputs": [
- {
- "name": "positive",
- "type": "CONDITIONING",
- "link": 54
- },
- {
- "name": "negative",
- "shape": 7,
- "type": "CONDITIONING",
- "link": 55
- }
- ],
- "outputs": [
- {
- "name": "text_embeds",
- "type": "WANVIDEOTEXTEMBEDS",
- "links": null
- }
- ],
- "properties": {
- "cnr_id": "ComfyUI-WanVideoWrapper",
- "ver": "998a69cc0acbec503001b8b0ce0a5d5404420e1e",
- "Node name for S&R": "WanVideoTextEmbedBridge"
- },
- "widgets_values": []
- },
{
"id": 92,
"type": "WanVideoSetBlockSwap",
@@ -203,7 +16,7 @@
46
],
"flags": {},
- "order": 19,
+ "order": 11,
"mode": 0,
"inputs": [
{
@@ -236,186 +49,6 @@
"color": "#223",
"bgcolor": "#335"
},
- {
- "id": 69,
- "type": "GetImageSizeAndCount",
- "pos": [
- 2725.78076171875,
- -249.85873413085938
- ],
- "size": [
- 240.41265869140625,
- 86
- ],
- "flags": {},
- "order": 29,
- "mode": 0,
- "inputs": [
- {
- "name": "image",
- "type": "IMAGE",
- "link": 211
- }
- ],
- "outputs": [
- {
- "name": "image",
- "type": "IMAGE",
- "links": [
- 77
- ]
- },
- {
- "label": "704 width",
- "name": "width",
- "type": "INT",
- "links": null
- },
- {
- "label": "512 height",
- "name": "height",
- "type": "INT",
- "links": null
- },
- {
- "label": "81 count",
- "name": "count",
- "type": "INT",
- "links": null
- }
- ],
- "properties": {
- "cnr_id": "comfyui-kjnodes",
- "ver": "a6b867b63a29ca48ddb15c589e17a9f2d8530d57",
- "Node name for S&R": "GetImageSizeAndCount"
- },
- "widgets_values": []
- },
- {
- "id": 56,
- "type": "WanVideoLoraSelect",
- "pos": [
- -764.6182250976562,
- -480.6791076660156
- ],
- "size": [
- 580.85986328125,
- 154.09483337402344
- ],
- "flags": {},
- "order": 2,
- "mode": 0,
- "inputs": [
- {
- "name": "prev_lora",
- "shape": 7,
- "type": "WANVIDLORA",
- "link": null
- },
- {
- "name": "blocks",
- "shape": 7,
- "type": "SELECTEDBLOCKS",
- "link": null
- }
- ],
- "outputs": [
- {
- "name": "lora",
- "type": "WANVIDLORA",
- "links": [
- 110
- ]
- }
- ],
- "properties": {
- "cnr_id": "ComfyUI-WanVideoWrapper",
- "ver": "998a69cc0acbec503001b8b0ce0a5d5404420e1e",
- "Node name for S&R": "WanVideoLoraSelect"
- },
- "widgets_values": [
- "WanVideo/Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors",
- 3,
- false,
- false
- ],
- "color": "#223",
- "bgcolor": "#335"
- },
- {
- "id": 97,
- "type": "WanVideoLoraSelect",
- "pos": [
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- -265.5889587402344
- ],
- "size": [
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- 165.56051635742188
- ],
- "flags": {},
- "order": 3,
- "mode": 0,
- "inputs": [
- {
- "name": "prev_lora",
- "shape": 7,
- "type": "WANVIDLORA",
- "link": null
- },
- {
- "name": "blocks",
- "shape": 7,
- "type": "SELECTEDBLOCKS",
- "link": null
- }
- ],
- "outputs": [
- {
- "name": "lora",
- "type": "WANVIDLORA",
- "links": [
- 169
- ]
- }
- ],
- "properties": {
- "cnr_id": "ComfyUI-WanVideoWrapper",
- "ver": "998a69cc0acbec503001b8b0ce0a5d5404420e1e",
- "Node name for S&R": "WanVideoLoraSelect"
- },
- "widgets_values": [
- "WanVideo/Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors",
- 1,
- false,
- false
- ],
- "color": "#223",
- "bgcolor": "#335"
- },
- {
- "id": 44,
- "type": "Note",
- "pos": [
- -880.5595092773438,
- -862.414306640625
- ],
- "size": [
- 303.0501403808594,
- 88
- ],
- "flags": {},
- "order": 4,
- "mode": 0,
- "inputs": [],
- "outputs": [],
- "properties": {},
- "widgets_values": [
- "If you have Triton installed, connect this for ~30% speed increase"
- ],
- "color": "#432",
- "bgcolor": "#653"
- },
{
"id": 102,
"type": "Note",
@@ -428,7 +61,7 @@
88
],
"flags": {},
- "order": 5,
+ "order": 0,
"mode": 0,
"inputs": [],
"outputs": [],
@@ -451,7 +84,7 @@
46
],
"flags": {},
- "order": 22,
+ "order": 18,
"mode": 0,
"inputs": [
{
@@ -484,19 +117,62 @@
"color": "#223",
"bgcolor": "#335"
},
+ {
+ "id": 116,
+ "type": "WanVideoBlockSwapMultiGPU",
+ "pos": [
+ 515.2559814453125,
+ -589.2463989257812
+ ],
+ "size": [
+ 292.8716735839844,
+ 226
+ ],
+ "flags": {},
+ "order": 1,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [
+ {
+ "name": "block_swap_args",
+ "type": "BLOCKSWAPARGS",
+ "links": [
+ 214,
+ 215
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "comfyui-multigpu",
+ "ver": "db931d66c31acbcfce26f29babfb552509e586aa",
+ "Node name for S&R": "WanVideoBlockSwapMultiGPU"
+ },
+ "widgets_values": [
+ 40,
+ true,
+ true,
+ false,
+ 0,
+ 0,
+ false,
+ "cuda:1"
+ ],
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
+ },
{
"id": 80,
"type": "WanVideoSetLoRAs",
"pos": [
- 985.8822021484375,
- -458.0684814453125
+ 854.084716796875,
+ -533.3812866210938
],
"size": [
222.27981567382812,
46
],
"flags": {},
- "order": 23,
+ "order": 17,
"mode": 0,
"inputs": [
{
@@ -527,67 +203,19 @@
"color": "#223",
"bgcolor": "#335"
},
- {
- "id": 95,
- "type": "CreateCFGScheduleFloatList",
- "pos": [
- 1455.8336181640625,
- 44.19880294799805
- ],
- "size": [
- 298.3199157714844,
- 228
- ],
- "flags": {},
- "order": 15,
- "mode": 0,
- "inputs": [
- {
- "name": "steps",
- "type": "INT",
- "widget": {
- "name": "steps"
- },
- "link": 165
- }
- ],
- "outputs": [
- {
- "name": "float_list",
- "type": "FLOAT",
- "links": [
- 186
- ]
- }
- ],
- "properties": {
- "cnr_id": "ComfyUI-WanVideoWrapper",
- "ver": "7e290c67bff1f906cdab84523018573f6c9d4d7f",
- "Node name for S&R": "CreateCFGScheduleFloatList"
- },
- "widgets_values": [
- 30,
- 2,
- 2,
- "linear",
- 0,
- 0.01,
- "[2.0, 1.0, 1.0, 1.0, 1.0, 1.0]"
- ]
- },
{
"id": 79,
"type": "WanVideoSetLoRAs",
"pos": [
- 969.6483764648438,
- -216.53614807128906
+ 825.959716796875,
+ -259.14739990234375
],
"size": [
222.27981567382812,
46
],
"flags": {},
- "order": 25,
+ "order": 20,
"mode": 0,
"inputs": [
{
@@ -621,93 +249,129 @@
"bgcolor": "#335"
},
{
- "id": 94,
- "type": "INTConstant",
+ "id": 69,
+ "type": "GetImageSizeAndCount",
"pos": [
- 1446.0140380859375,
- -77.41889953613281
+ 1925.56787109375,
+ -1228.0408935546875
],
"size": [
- 210,
- 58
+ 240.41265869140625,
+ 86
],
"flags": {},
- "order": 6,
+ "order": 24,
"mode": 0,
- "inputs": [],
- "outputs": [
+ "inputs": [
{
- "name": "value",
- "type": "INT",
+ "name": "image",
+ "type": "IMAGE",
+ "link": 211
+ }
+ ],
+ "outputs": [
+ {
+ "name": "image",
+ "type": "IMAGE",
"links": [
- 165,
- 184,
- 193
+ 77
]
+ },
+ {
+ "label": "704 width",
+ "name": "width",
+ "type": "INT",
+ "links": null
+ },
+ {
+ "label": "704 height",
+ "name": "height",
+ "type": "INT",
+ "links": null
+ },
+ {
+ "label": "81 count",
+ "name": "count",
+ "type": "INT",
+ "links": null
}
],
- "title": "Steps",
"properties": {
"cnr_id": "comfyui-kjnodes",
"ver": "a6b867b63a29ca48ddb15c589e17a9f2d8530d57",
- "Node name for S&R": "INTConstant"
+ "Node name for S&R": "GetImageSizeAndCount"
},
- "widgets_values": [
- 6
- ],
- "color": "#1b4669",
- "bgcolor": "#29699c"
+ "widgets_values": []
},
{
- "id": 91,
- "type": "INTConstant",
+ "id": 115,
+ "type": "WanVideoDecodeMultiGPU",
"pos": [
- 1473.2628173828125,
- 579.54443359375
+ 2106.275390625,
+ -1017.4448852539062
],
"size": [
- 210,
- 58
+ 271.8716735839844,
+ 218
],
"flags": {},
- "order": 7,
+ "order": 23,
"mode": 0,
- "inputs": [],
+ "inputs": [
+ {
+ "name": "vae",
+ "type": "WANVAE",
+ "link": 209
+ },
+ {
+ "name": "load_device",
+ "type": "MULTIGPUDEVICE",
+ "link": 210
+ },
+ {
+ "name": "samples",
+ "type": "LATENT",
+ "link": 212
+ }
+ ],
"outputs": [
{
- "name": "value",
- "type": "INT",
+ "name": "images",
+ "type": "IMAGE",
"links": [
- 187,
- 194
+ 211
]
}
],
- "title": "Split_step",
"properties": {
- "cnr_id": "comfyui-kjnodes",
- "ver": "a6b867b63a29ca48ddb15c589e17a9f2d8530d57",
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- "type": "MASK",
- "links": null
+ "name": "blocks",
+ "shape": 7,
+ "type": "SELECTEDBLOCKS",
+ "link": null
+ }
+ ],
+ "outputs": [
+ {
+ "name": "lora",
+ "type": "WANVIDLORA",
+ "links": [
+ 169
+ ]
}
],
"properties": {
- "cnr_id": "comfy-core",
- "ver": "0.3.44",
- "Node name for S&R": "LoadImage"
+ "cnr_id": "ComfyUI-WanVideoWrapper",
+ "ver": "998a69cc0acbec503001b8b0ce0a5d5404420e1e",
+ "Node name for S&R": "WanVideoLoraSelect"
},
"widgets_values": [
- "wan2_2_benchmark_v2.png",
- "image"
- ]
+ "WanVideo/Lightx2v/wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors",
+ 1,
+ false,
+ false
+ ],
+ "color": "#223",
+ "bgcolor": "#335"
+ },
+ {
+ "id": 117,
+ "type": "MarkdownNote",
+ "pos": [
+ -964.5131225585938,
+ -883.290771484375
+ ],
+ "size": [
+ 777.6646728515625,
+ 937.3121337890625
+ ],
+ "flags": {},
+ "order": 10,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [],
+ "title": "ComfyUI-MultiGPU Note - ComfyUI-WanVideoWrapper",
+ "properties": {},
+ "widgets_values": [
+ "These nodes are designed to work with ComfyUI-WanVideoWrapper they enable UNets, CLIPs, and VAEs to be loaded on any available device. This is a replication of the original workflow by kijai which can be found here: [wanvideo2_2_I2V_A14B_example_WIP.json](https://github.com/kijai/ComfyUI-WanVideoWrapper/blob/main/example_workflows/wanvideo2_2_I2V_A14B_example_WIP.json)\n\n## Custom Node\n- [ComfyUI-MultiGPU](https://github.com/pollockjj/ComfyUI-MultiGPU)\n- [ComfyUI-WanVideoWrapper](https://github.com/kijai/ComfyUI-WanVideoWrapper)\n```\nš ComfyUI/\nāāā š custom_nodes/\nā āāā š ComfyUI-MultiGPU/\nā āāā š ComfyUI-WanVideoWrapper\n```\n## Model links\n\n**Diffusion model**\n- [Wan2.2-I2V-A14B-HighNoise-Q5_K_M.gguf](https://huggingface.co/QuantStack/Wan2.2-I2V-A14B-GGUF/resolve/main/HighNoise/Wan2.2-I2V-A14B-HighNoise-Q5_K_M.gguf)\n- [Wan2.2-I2V-A14B-LowNoise-Q5_K_M.gguf](https://huggingface.co/QuantStack/Wan2.2-I2V-A14B-GGUF/resolve/main/LowNoise/Wan2.2-I2V-A14B-LowNoise-Q5_K_M.gguf)\n\n**CLIP**\n- [umt5_xxl_enc-bf16.safetensors](https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/umt5-xxl-enc-bf16.safetensors)\n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/blob/main/split_files/vae/wan_2.1_vae.safetensors)\n\n**LoRA**\n- [high_noise_model.safetensors](https://huggingface.co/lightx2v/Wan2.2-Lightning/resolve/main/Wan2.2-I2V-A14B-4steps-lora-rank64-Seko-V1/high_noise_model.safetensors)\n- [low_noise_model.safetensors](https://huggingface.co/lightx2v/Wan2.2-Lightning/resolve/main/Wan2.2-I2V-A14B-4steps-lora-rank64-Seko-V1/low_noise_model.safetensors)\n\n## Model Storage Location\n\n```\nš ComfyUI/\nāāā š models/\nā āāā š clip/\nā ā āāā umt5_xxl_enc-bf16.safetensors\nā āāā š unet/\nā ā āāā Wan2.2-I2V-A14B-HighNoise-Q5_K_M.gguf [š©š©š©šŖšŖšŖšŖšŖšŖšŖ]\nā ā āāā Wan2.2-I2V-A14B-LowNoise-Q5_K_M.gguf [š©š©š©šŖšŖšŖšŖšŖšŖšŖ]\nā āāāāš loras/\nā āāāāāāš Wan2.2-I2V-A14B-4steps-lora-rank64-Seko-V1/\nā ā āāāāāāā high_noise_model.safetensors [š©š©š©šŖšŖšŖšŖšŖšŖšŖ]\nā ā āāāāāāā low_noise_model.safetensors [š©š©š©šŖšŖšŖšŖšŖšŖšŖ]\nā āāā š vae/\nā ā āāā wan_2.1_vae.safetensors \n```\n## Device Mapping (Example: Two GPUs, 1 CPU)\n```\nš„ļø system \nāāā š¢ cuda:0\nā āāā Wan2.2-I2V-A14B-HighNoise-Q5_K_M.gguf [š©š©š©]\nā āāā Wan2.2-I2V-A14B-LowNoise-Q5_K_M.gguf [š©š©š©]\nā āāā high_noise_model.safetensors [š©š©š©]\nā āāā low_noise_model.safetensors [š©š©š©]\nā āāā umt5_xxl_fp8_e4m3fn_scaled.safetensors\nā āāā wan_2.1_vae.safetensors\nāāā š£ cuda:1\n| āāā Wan2.2-I2V-A14B-HighNoise-Q5_K_M.gguf [šŖšŖšŖšŖšŖšŖšŖ]\n| āāā Wan2.2-I2V-A14B-LowNoise-Q5_K_M.gguf [šŖšŖšŖšŖšŖšŖšŖ]\n| āāā high_noise_model.safetensors [šŖšŖšŖšŖšŖšŖšŖ]\n| āāā low_noise_model.safetensors [šŖšŖšŖšŖšŖšŖšŖ]\nāāā āļø cpu\n\n```"
+ ],
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
+ },
+ {
+ "id": 109,
+ "type": "WanVideoModelLoaderMultiGPU",
+ "pos": [
+ -14.040166854858398,
+ -871.1851806640625
+ ],
+ "size": [
+ 450.2710876464844,
+ 342
+ ],
+ "flags": {},
+ "order": 14,
+ "mode": 0,
+ "inputs": [
+ {
+ "name": "compile_args",
+ "shape": 7,
+ "type": "WANCOMPILEARGS",
+ "link": 213
+ },
+ {
+ "name": "block_swap_args",
+ "shape": 7,
+ "type": "BLOCKSWAPARGS",
+ "link": null
+ },
+ {
+ "name": "lora",
+ "shape": 7,
+ "type": "WANVIDLORA",
+ "link": null
+ },
+ {
+ "name": "vram_management_args",
+ "shape": 7,
+ "type": "VRAM_MANAGEMENTARGS",
+ "link": null
+ },
+ {
+ "name": "extra_model",
+ "shape": 7,
+ "type": "VACEPATH",
+ "link": null
+ },
+ {
+ "name": "fantasytalking_model",
+ "shape": 7,
+ "type": "FANTASYTALKINGMODEL",
+ "link": null
+ },
+ {
+ "name": "multitalk_model",
+ "shape": 7,
+ "type": "MULTITALKMODEL",
+ "link": null
+ },
+ {
+ "name": "fantasyportrait_model",
+ "shape": 7,
+ "type": "FANTASYPORTRAITMODEL",
+ "link": null
+ }
+ ],
+ "outputs": [
+ {
+ "name": "model",
+ "type": "WANVIDEOMODEL",
+ "links": [
+ 200
+ ]
+ },
+ {
+ "name": "compute_device",
+ "type": "MULTIGPUDEVICE",
+ "links": [
+ 201
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "comfyui-multigpu",
+ "ver": "db931d66c31acbcfce26f29babfb552509e586aa",
+ "Node name for S&R": "WanVideoModelLoaderMultiGPU"
+ },
+ "widgets_values": [
+ "Wan2.2-I2V-A14B-HighNoise-Q5_K_M.gguf",
+ "fp16_fast",
+ "fp8_e4m3fn_scaled",
+ "offload_device",
+ "cuda:0",
+ "sageattn",
+ "default"
+ ],
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
+ },
+ {
+ "id": 108,
+ "type": "WanVideoModelLoaderMultiGPU",
+ "pos": [
+ -40.068668365478516,
+ -462.2707824707031
+ ],
+ "size": [
+ 458.3773498535156,
+ 342
+ ],
+ "flags": {},
+ "order": 13,
+ "mode": 0,
+ "inputs": [
+ {
+ "name": "compile_args",
+ "shape": 7,
+ "type": "WANCOMPILEARGS",
+ "link": 198
+ },
+ {
+ "name": "block_swap_args",
+ "shape": 7,
+ "type": "BLOCKSWAPARGS",
+ "link": null
+ },
+ {
+ "name": "lora",
+ "shape": 7,
+ "type": "WANVIDLORA",
+ "link": null
+ },
+ {
+ "name": "vram_management_args",
+ "shape": 7,
+ "type": "VRAM_MANAGEMENTARGS",
+ "link": null
+ },
+ {
+ "name": "extra_model",
+ "shape": 7,
+ "type": "VACEPATH",
+ "link": null
+ },
+ {
+ "name": "fantasytalking_model",
+ "shape": 7,
+ "type": "FANTASYTALKINGMODEL",
+ "link": null
+ },
+ {
+ "name": "multitalk_model",
+ "shape": 7,
+ "type": "MULTITALKMODEL",
+ "link": null
+ },
+ {
+ "name": "fantasyportrait_model",
+ "shape": 7,
+ "type": "FANTASYPORTRAITMODEL",
+ "link": null
+ }
+ ],
+ "outputs": [
+ {
+ "name": "model",
+ "type": "WANVIDEOMODEL",
+ "links": [
+ 196
+ ]
+ },
+ {
+ "name": "compute_device",
+ "type": "MULTIGPUDEVICE",
+ "links": [
+ 197
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "comfyui-multigpu",
+ "ver": "db931d66c31acbcfce26f29babfb552509e586aa",
+ "Node name for S&R": "WanVideoModelLoaderMultiGPU"
+ },
+ "widgets_values": [
+ "Wan2.2-I2V-A14B-LowNoise-Q5_K_M.gguf",
+ "fp16_fast",
+ "fp8_e4m3fn_scaled",
+ "offload_device",
+ "cuda:0",
+ "sageattn",
+ "default"
+ ],
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
}
],
"links": [
- [
- 52,
- 48,
- 0,
- 49,
- 0,
- "CLIP"
- ],
- [
- 53,
- 48,
- 0,
- 50,
- 0,
- "CLIP"
- ],
- [
- 54,
- 49,
- 0,
- 46,
- 0,
- "CONDITIONING"
- ],
- [
- 55,
- 50,
- 0,
- 46,
- 1,
- "CONDITIONING"
- ],
[
71,
67,
@@ -2179,28 +1959,14 @@
"BLOCKSWAPARGS"
]
],
- "groups": [
- {
- "id": 1,
- "title": "ComfyUI text encoding alternative",
- "bounding": [
- -68.81207275390625,
- 358.7208251953125,
- 1210.621337890625,
- 805.9080810546875
- ],
- "color": "#3f789e",
- "font_size": 24,
- "flags": {}
- }
- ],
+ "groups": [],
"config": {},
"extra": {
"ds": {
- "scale": 0.505447028499326,
+ "scale": 0.5559917313492586,
"offset": [
- 329.46053758144194,
- 1458.1424592955568
+ 1049.3003683168295,
+ 1500.8605042177378
]
},
"frontendVersion": "1.27.10",
diff --git a/example_workflows/ComfyUI-WanVideoWrapper wanvideo_1_3B control_lora.jpg b/example_workflows/ComfyUI-WanVideoWrapper wanvideo_1_3B control_lora.jpg
new file mode 100755
index 0000000..ec7710f
Binary files /dev/null and b/example_workflows/ComfyUI-WanVideoWrapper wanvideo_1_3B control_lora.jpg differ
diff --git a/example_workflows/wannvideowrapper/wanvideo_1_3B_control_lora_example_01_MultiGPU.json b/example_workflows/ComfyUI-WanVideoWrapper wanvideo_1_3B control_lora.json
similarity index 81%
rename from example_workflows/wannvideowrapper/wanvideo_1_3B_control_lora_example_01_MultiGPU.json
rename to example_workflows/ComfyUI-WanVideoWrapper wanvideo_1_3B control_lora.json
index 32ebe53..850f7de 100755
--- a/example_workflows/wannvideowrapper/wanvideo_1_3B_control_lora_example_01_MultiGPU.json
+++ b/example_workflows/ComfyUI-WanVideoWrapper wanvideo_1_3B control_lora.json
@@ -1,218 +1,9 @@
{
"id": "04f1de76-e363-4c27-bec7-eb184ac6e476",
"revision": 0,
- "last_node_id": 114,
+ "last_node_id": 115,
"last_link_id": 175,
"nodes": [
- {
- "id": 36,
- "type": "Note",
- "pos": [
- 160,
- -1010
- ],
- "size": [
- 374.3061828613281,
- 171.9547576904297
- ],
- "flags": {},
- "order": 0,
- "mode": 0,
- "inputs": [],
- "outputs": [],
- "properties": {},
- "widgets_values": [
- "fp8_fast seems to cause huge quality degradation\n\nfp_16_fast enables \"Full FP16 Accmumulation in FP16 GEMMs\" feature available in the very latest pytorch nightly, this is around 20% speed boost. \n\nSageattn if you have it installed can be used for almost double inference speed"
- ],
- "color": "#432",
- "bgcolor": "#653"
- },
- {
- "id": 35,
- "type": "WanVideoTorchCompileSettings",
- "pos": [
- -276.8500671386719,
- -1050.6326904296875
- ],
- "size": [
- 390.5999755859375,
- 202
- ],
- "flags": {},
- "order": 1,
- "mode": 0,
- "inputs": [],
- "outputs": [
- {
- "name": "torch_compile_args",
- "type": "WANCOMPILEARGS",
- "slot_index": 0,
- "links": []
- }
- ],
- "properties": {
- "cnr_id": "ComfyUI-WanVideoWrapper",
- "ver": "76ea2aa6a664edbd553799f78d6bafdd23e34dc6",
- "Node name for S&R": "WanVideoTorchCompileSettings"
- },
- "widgets_values": [
- "inductor",
- false,
- "default",
- false,
- 64,
- true,
- 128
- ],
- "color": "#223",
- "bgcolor": "#335"
- },
- {
- "id": 44,
- "type": "Note",
- "pos": [
- -620.9041137695312,
- -1049.732421875
- ],
- "size": [
- 303.0501403808594,
- 88
- ],
- "flags": {},
- "order": 2,
- "mode": 0,
- "inputs": [],
- "outputs": [],
- "properties": {},
- "widgets_values": [
- "If you have Triton installed, connect this for ~30% speed increase"
- ],
- "color": "#432",
- "bgcolor": "#653"
- },
- {
- "id": 53,
- "type": "Note",
- "pos": [
- 1329.0076904296875,
- -810.7708740234375
- ],
- "size": [
- 324.64129638671875,
- 159.47401428222656
- ],
- "flags": {},
- "order": 3,
- "mode": 0,
- "inputs": [],
- "outputs": [],
- "properties": {},
- "widgets_values": [
- "TeaCache could be considered to be sort of an automated step skipper \n\nThe relative l1 threshold -value determines how aggressive this is, higher values are faster but quality suffers more. Very first steps should NEVER be skipped with this model or it kills the motion. When using the pre-calculated coefficients, the treshold value should be much higher than with the default coefficients."
- ],
- "color": "#432",
- "bgcolor": "#653"
- },
- {
- "id": 30,
- "type": "VHS_VideoCombine",
- "pos": [
- 1709.29345703125,
- -334.3517150878906
- ],
- "size": [
- 1037.934326171875,
- 856.9671630859375
- ],
- "flags": {},
- "order": 19,
- "mode": 0,
- "inputs": [
- {
- "name": "images",
- "type": "IMAGE",
- "link": 146
- },
- {
- "name": "audio",
- "shape": 7,
- "type": "AUDIO",
- "link": null
- },
- {
- "name": "meta_batch",
- "shape": 7,
- "type": "VHS_BatchManager",
- "link": null
- },
- {
- "name": "vae",
- "shape": 7,
- "type": "VAE",
- "link": null
- }
- ],
- "outputs": [
- {
- "name": "Filenames",
- "type": "VHS_FILENAMES",
- "links": null
- }
- ],
- "properties": {
- "cnr_id": "comfyui-videohelpersuite",
- "ver": "08e8df15db24da292d4b7f943c460dc2ab442b24",
- "Node name for S&R": "VHS_VideoCombine"
- },
- "widgets_values": {
- "frame_rate": 16,
- "loop_count": 0,
- "filename_prefix": "WanVideoWrapper_I2V",
- "format": "video/h264-mp4",
- "pix_fmt": "yuv420p",
- "crf": 19,
- "save_metadata": true,
- "trim_to_audio": false,
- "pingpong": false,
- "save_output": true,
- "videopreview": {
- "hidden": false,
- "paused": false,
- "params": {
- "filename": "WanVideoWrapper_I2V_00002.mp4",
- "subfolder": "",
- "type": "output",
- "format": "video/h264-mp4",
- "frame_rate": 16,
- "workflow": "WanVideoWrapper_I2V_00002.png",
- "fullpath": "/home/johnj/ComfyUI/output/WanVideoWrapper_I2V_00002.mp4"
- }
- }
- }
- },
- {
- "id": 33,
- "type": "Note",
- "pos": [
- 170,
- -1150
- ],
- "size": [
- 359.0753479003906,
- 88
- ],
- "flags": {},
- "order": 4,
- "mode": 0,
- "inputs": [],
- "outputs": [],
- "properties": {},
- "widgets_values": [
- "Models:\nhttps://huggingface.co/Kijai/WanVideo_comfy/tree/main"
- ],
- "color": "#432",
- "bgcolor": "#653"
- },
{
"id": 96,
"type": "WanVideoControlEmbeds",
@@ -225,7 +16,7 @@
102
],
"flags": {},
- "order": 15,
+ "order": 11,
"mode": 0,
"inputs": [
{
@@ -260,6 +51,44 @@
0.7
]
},
+ {
+ "id": 52,
+ "type": "WanVideoTeaCache",
+ "pos": [
+ 784.0582885742188,
+ 198.33489990234375
+ ],
+ "size": [
+ 315,
+ 178
+ ],
+ "flags": {},
+ "order": 0,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [
+ {
+ "name": "cache_args",
+ "type": "CACHEARGS",
+ "links": [
+ 153
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "ComfyUI-WanVideoWrapper",
+ "ver": "76ea2aa6a664edbd553799f78d6bafdd23e34dc6",
+ "Node name for S&R": "WanVideoTeaCache"
+ },
+ "widgets_values": [
+ 0.1,
+ 1,
+ -1,
+ "offload_device",
+ "true",
+ "e"
+ ]
+ },
{
"id": 110,
"type": "WanVideoTextEncodeMultiGPU",
@@ -272,7 +101,7 @@
234
],
"flags": {},
- "order": 11,
+ "order": 8,
"mode": 0,
"inputs": [
{
@@ -309,161 +138,83 @@
"Node name for S&R": "WanVideoTextEncodeMultiGPU"
},
"widgets_values": [
- "video of a wolf",
+ "video of a cyberpunk city street",
"č²č°č³äø½ļ¼čæęļ¼éęļ¼ē»č樔ē³äøęø
ļ¼åå¹ļ¼é£ę ¼ļ¼ä½åļ¼ē»ä½ļ¼ē»é¢ļ¼éę¢ļ¼ę“ä½åē°ļ¼ę差蓨éļ¼ä½č“Øéļ¼JPEGå缩ę®ēļ¼äøéēļ¼ę®ē¼ŗēļ¼å¤ä½ēęęļ¼ē»å¾äøå„½ēęéØļ¼ē»å¾äøå„½ēčøéØļ¼ēøå½¢ēļ¼ęÆå®¹ēļ¼å½¢ęēøå½¢ēč¢ä½ļ¼ęęčåļ¼éę¢äøåØēē»é¢ļ¼ęä¹±ēčęÆļ¼äøę”č
æļ¼čęÆäŗŗå¾å¤ļ¼åēčµ°",
"cuda:0",
false
],
- "color": "#233",
- "bgcolor": "#355"
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
},
{
- "id": 111,
- "type": "LoadWanVideoT5TextEncoderMultiGPU",
+ "id": 114,
+ "type": "WanVideoDecodeMultiGPU",
"pos": [
- 278.705810546875,
- -281.6587829589844
+ 1218.4522705078125,
+ -915.2039184570312
],
"size": [
- 348.9195251464844,
- 150
+ 271.8716735839844,
+ 218
],
"flags": {},
- "order": 5,
+ "order": 13,
"mode": 0,
- "inputs": [],
- "outputs": [
+ "inputs": [
{
- "name": "wan_t5_model",
- "type": "WANTEXTENCODER",
- "links": [
- 161
- ]
+ "name": "vae",
+ "type": "WANVAE",
+ "link": 172
},
{
"name": "load_device",
"type": "MULTIGPUDEVICE",
+ "link": 173
+ },
+ {
+ "name": "samples",
+ "type": "LATENT",
+ "link": 174
+ }
+ ],
+ "outputs": [
+ {
+ "name": "images",
+ "type": "IMAGE",
"links": [
- 166
+ 175
]
}
],
"properties": {
"cnr_id": "comfyui-multigpu",
"ver": "ba0a3a6e21b0a7f54bd24c51419a8e85b9217c3f",
- "Node name for S&R": "LoadWanVideoT5TextEncoderMultiGPU"
+ "Node name for S&R": "WanVideoDecodeMultiGPU"
},
"widgets_values": [
- "umt5-xxl-enc-bf16.safetensors",
- "bf16",
- "cuda:0",
- "disabled"
- ],
- "color": "#233",
- "bgcolor": "#355"
- },
- {
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+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
},
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{
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@@ -693,57 +402,38 @@
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}
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"ver": "08e8df15db24da292d4b7f943c460dc2ab442b24",
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"params": {
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+ "format": "video/h264-mp4",
+ "frame_rate": 16,
+ "workflow": "WanVideoWrapper_I2V_00008.png",
+ "fullpath": "/home/johnj/ComfyUI/output/WanVideoWrapper_I2V_00008.mp4"
}
}
}
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]
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{
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{
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+ "name": "torch_compile_args",
+ "type": "WANCOMPILEARGS",
+ "slot_index": 0,
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}
],
"properties": {
"cnr_id": "ComfyUI-WanVideoWrapper",
"ver": "76ea2aa6a664edbd553799f78d6bafdd23e34dc6",
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},
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]
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- {
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- "type": "MASK",
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}
],
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},
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}
],
"properties": {
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"ver": "ba0a3a6e21b0a7f54bd24c51419a8e85b9217c3f",
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+ "Node name for S&R": "WanVideoVAELoaderMultiGPU"
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+ "wan_2.1_vae.safetensors",
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],
"color": "#008181",
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@@ -999,15 +583,15 @@
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{
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"bf16",
"disabled",
"offload_device",
- "cuda:1",
+ "cuda:0",
"sdpa",
"default"
],
"color": "#008181",
"bgcolor": "rgba(24,24,27,.9)"
+ },
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+ "type": "WANVIDLORA",
+ "link": null
+ },
+ {
+ "name": "blocks",
+ "shape": 7,
+ "type": "SELECTEDBLOCKS",
+ "link": null
+ }
+ ],
+ "outputs": [
+ {
+ "name": "lora",
+ "type": "WANVIDLORA",
+ "links": [
+ 169
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "ComfyUI-WanVideoWrapper",
+ "ver": "76ea2aa6a664edbd553799f78d6bafdd23e34dc6",
+ "Node name for S&R": "WanVideoLoraSelect"
+ },
+ "widgets_values": [
+ "wan2.1-1.3b-control-lora-tile-v1.1_comfy.safetensors",
+ 1,
+ false,
+ true
+ ]
+ },
+ {
+ "id": 111,
+ "type": "LoadWanVideoT5TextEncoderMultiGPU",
+ "pos": [
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+ -377.98248291015625
+ ],
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+ "flags": {},
+ "order": 4,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [
+ {
+ "name": "wan_t5_model",
+ "type": "WANTEXTENCODER",
+ "links": [
+ 161
+ ]
+ },
+ {
+ "name": "load_device",
+ "type": "MULTIGPUDEVICE",
+ "links": [
+ 166
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "comfyui-multigpu",
+ "ver": "ba0a3a6e21b0a7f54bd24c51419a8e85b9217c3f",
+ "Node name for S&R": "LoadWanVideoT5TextEncoderMultiGPU"
+ },
+ "widgets_values": [
+ "umt5-xxl-enc-bf16.safetensors",
+ "bf16",
+ "cuda:1",
+ "fp8_e4m3fn"
+ ],
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
+ },
+ {
+ "id": 115,
+ "type": "MarkdownNote",
+ "pos": [
+ -839.5035400390625,
+ -838.1215209960938
+ ],
+ "size": [
+ 777.6646728515625,
+ 937.3121337890625
+ ],
+ "flags": {},
+ "order": 5,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [],
+ "title": "ComfyUI-MultiGPU Note - ComfyUI-WanVideoWrapper",
+ "properties": {},
+ "widgets_values": [
+ "These nodes are designed to work with ComfyUI-WanVideoWrapper they enable UNets, CLIPs, and VAEs to be loaded on any available device. This is a replication of the original workflow by kijai which can be found here: [wanvideo_1_3B_control_lora_example_01.json](https://github.com/kijai/ComfyUI-WanVideoWrapper/blob/main/example_workflows/wanvideo_1_3B_control_lora_example_01.json)\n\n## Custom Node\n- [ComfyUI-MultiGPU](https://github.com/pollockjj/ComfyUI-MultiGPU)\n- [ComfyUI-WanVideoWrapper](https://github.com/kijai/ComfyUI-WanVideoWrapper)\n```\nš ComfyUI/\nāāā š custom_nodes/\nā āāā š ComfyUI-MultiGPU/\nā āāā š ComfyUI-WanVideoWrapper\n```\n## Model links\n\n**Diffusion model**\n- [wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/blob/main/split_files/diffusion_models/wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors)\n- [wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/blob/main/split_files/diffusion_models/wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors)\n\n**CLIP**\n- [umt5_xxl_enc-bf16.safetensors](https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/umt5-xxl-enc-bf16.safetensors)\n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/blob/main/split_files/vae/wan_2.1_vae.safetensors)\n\n**LoRA**\n- [wan2.1-1.3b-control-lora-tile-v1.1_comfy.safetensors](https://huggingface.co/spacepxl/Wan2.1-control-loras/resolve/main/1.3b/tile/wan2.1-1.3b-control-lora-tile-v1.1_comfy.safetensors)\n\n## Model Storage Location\n\n```\nš ComfyUI/\nāāā š models/\nā āāā š clip/\nā ā āāā umt5_xxl_enc-bf16.safetensors\nā āāā š unet/\nā ā āāā wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors [š©š©š©šŖšŖšŖšŖšŖšŖšŖ]\nā ā āāā wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors [š©š©š©šŖšŖšŖšŖšŖšŖšŖ]\nā āāāāš loras/\nā ā āāā wan2.1-1.3b-control-lora-tile-v1.1_comfy.safetensors\nā āāā š vae/\nā ā āāā wan_2.1_vae.safetensors \n```\n## Device Mapping (Example: Two GPUs, 1 CPU)\n```\nš„ļø system \nāāā š¢ cuda:0\nā āāā wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors [š©š©š©]\nā āāā wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors [š©š©š©]\nā āāā high_noise_model.safetensors [š©š©š©]\nā āāā low_noise_model.safetensors [š©š©š©]\nā āāā umt5_xxl_fp8_e4m3fn_scaled.safetensors\nā āāā wan_2.1_vae.safetensors\nāāā š£ cuda:1\nā āāā EMPTY\nāāā āļø cpu\n āāā wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors [šŖšŖšŖšŖšŖšŖšŖ]\n āāā wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors [šŖšŖšŖšŖšŖšŖšŖ]\n āāā high_noise_model.safetensors [šŖšŖšŖšŖšŖšŖšŖ]\n āāā low_noise_model.safetensors [šŖšŖšŖšŖšŖšŖšŖ]\n```"
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+ "link": 163
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+ }
+ ],
+ "properties": {
+ "cnr_id": "comfyui-multigpu",
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+ "properties": {
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+ "name": "vae",
+ "shape": 7,
+ "type": "VAE",
+ "link": null
+ }
+ ],
+ "outputs": [
+ {
+ "name": "IMAGE",
+ "type": "IMAGE",
+ "slot_index": 0,
+ "links": [
+ 147
+ ]
+ },
+ {
+ "name": "frame_count",
+ "type": "INT",
+ "links": null
+ },
+ {
+ "name": "audio",
+ "type": "AUDIO",
+ "links": null
+ },
+ {
+ "name": "video_info",
+ "type": "VHS_VIDEOINFO",
+ "links": null
+ }
+ ],
+ "properties": {
+ "cnr_id": "comfyui-videohelpersuite",
+ "ver": "08e8df15db24da292d4b7f943c460dc2ab442b24",
+ "Node name for S&R": "VHS_LoadVideo"
+ },
+ "widgets_values": {
+ "video": "ComfyUI-WanVideoWrapper wanvideo_1_3B control_lora.webm",
+ "force_rate": 0,
+ "custom_width": 0,
+ "custom_height": 0,
+ "frame_load_cap": 0,
+ "skip_first_frames": 0,
+ "select_every_nth": 1,
+ "format": "AnimateDiff",
+ "choose video to upload": "image",
+ "videopreview": {
+ "hidden": false,
+ "paused": false,
+ "params": {
+ "filename": "ComfyUI-WanVideoWrapper wanvideo_1_3B control_lora.webm",
+ "type": "input",
+ "format": "video/webm",
+ "force_rate": 0,
+ "custom_width": 0,
+ "custom_height": 0,
+ "frame_load_cap": 0,
+ "skip_first_frames": 0,
+ "select_every_nth": 1
+ }
+ }
+ }
}
],
"links": [
@@ -1259,10 +1151,10 @@
"config": {},
"extra": {
"ds": {
- "scale": 0.5559917313492605,
+ "scale": 0.6115909044841882,
"offset": [
- 1542.2773971567624,
- 1325.1448841491515
+ 1103.896612697283,
+ 1090.9859517147797
]
},
"frontendVersion": "1.27.10",
diff --git a/example_workflows/ComfyUI-WanVideoWrapper wanvideo_1_3B control_lora.webm b/example_workflows/ComfyUI-WanVideoWrapper wanvideo_1_3B control_lora.webm
new file mode 100755
index 0000000..4b8c93d
Binary files /dev/null and b/example_workflows/ComfyUI-WanVideoWrapper wanvideo_1_3B control_lora.webm differ
diff --git a/example_workflows/ComfyUI-WanVideoWrapper wanvideo_T2V.jpg b/example_workflows/ComfyUI-WanVideoWrapper wanvideo_T2V.jpg
new file mode 100755
index 0000000..f8c8041
Binary files /dev/null and b/example_workflows/ComfyUI-WanVideoWrapper wanvideo_T2V.jpg differ
diff --git a/example_workflows/wannvideowrapper/wanvideo_T2V_example_MultiGPU.json b/example_workflows/ComfyUI-WanVideoWrapper wanvideo_T2V.json
similarity index 74%
rename from example_workflows/wannvideowrapper/wanvideo_T2V_example_MultiGPU.json
rename to example_workflows/ComfyUI-WanVideoWrapper wanvideo_T2V.json
index 0be682f..b45f3be 100755
--- a/example_workflows/wannvideowrapper/wanvideo_T2V_example_MultiGPU.json
+++ b/example_workflows/ComfyUI-WanVideoWrapper wanvideo_T2V.json
@@ -1,247 +1,69 @@
{
"id": "c6e410bc-5e2c-460b-ae81-c91b6094fbb1",
"revision": 0,
- "last_node_id": 75,
- "last_link_id": 88,
+ "last_node_id": 78,
+ "last_link_id": 91,
"nodes": [
{
- "id": 50,
- "type": "CLIPTextEncode",
+ "id": 62,
+ "type": "WanVideoVAELoaderMultiGPU",
"pos": [
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+ 1261.431884765625,
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],
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- "flags": {},
- "order": 12,
- "mode": 2,
- "inputs": [
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- "name": "clip",
- "type": "CLIP",
- "link": 53
- }
- ],
- "outputs": [
- {
- "name": "CONDITIONING",
- "type": "CONDITIONING",
- "slot_index": 0,
- "links": [
- 55
- ]
- }
- ],
- "properties": {
- "cnr_id": "comfy-core",
- "ver": "0.3.64",
- "Node name for S&R": "CLIPTextEncode"
- },
- "widgets_values": [
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- ],
- "color": "#432",
- "bgcolor": "#653"
- },
- {
- "id": 48,
- "type": "CLIPLoader",
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- ],
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+ 126
],
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- "links": [
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- 53
- ]
- }
- ],
- "properties": {
- "cnr_id": "comfy-core",
- "ver": "0.3.64",
- "Node name for S&R": "CLIPLoader"
- },
- "widgets_values": [
- "umt5_xxl_fp16.safetensors",
- "wan",
- "default"
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- "color": "#432",
- "bgcolor": "#653"
- },
- {
- "id": 51,
- "type": "Note",
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- "flags": {},
- "order": 1,
"mode": 0,
- "inputs": [],
- "outputs": [],
- "properties": {},
- "widgets_values": [
- "You can also use native ComfyUI text encoding with these nodes instead of the original, the models are node specific and can't otherwise be mixed."
- ],
- "color": "#432",
- "bgcolor": "#653"
- },
- {
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- ],
- "flags": {},
- "order": 11,
- "mode": 2,
"inputs": [
{
- "name": "clip",
- "type": "CLIP",
- "link": 52
+ "name": "compile_args",
+ "shape": 7,
+ "type": "WANCOMPILEARGS",
+ "link": null
}
],
"outputs": [
{
- "name": "CONDITIONING",
- "type": "CONDITIONING",
- "slot_index": 0,
- "links": [
- 54
- ]
- }
- ],
- "properties": {
- "cnr_id": "comfy-core",
- "ver": "0.3.64",
- "Node name for S&R": "CLIPTextEncode"
- },
- "widgets_values": [
- "high quality nature video featuring a red panda balancing on a bamboo stem while a bird lands on it's head, on the background there is a waterfall"
- ],
- "color": "#432",
- "bgcolor": "#653"
- },
- {
- "id": 46,
- "type": "WanVideoTextEmbedBridge",
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- ],
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- "flags": {},
- "order": 15,
- "mode": 2,
- "inputs": [
- {
- "name": "positive",
- "type": "CONDITIONING",
- "link": 54
+ "name": "vae",
+ "type": "WANVAE",
+ "links": []
},
{
- "name": "negative",
- "shape": 7,
- "type": "CONDITIONING",
- "link": 55
- }
- ],
- "outputs": [
- {
- "name": "text_embeds",
- "type": "WANVIDEOTEXTEMBEDS",
+ "name": "load_device",
+ "type": "MULTIGPUDEVICE",
"links": null
}
],
"properties": {
- "cnr_id": "ComfyUI-WanVideoWrapper",
- "ver": "76ea2aa6a664edbd553799f78d6bafdd23e34dc6",
- "Node name for S&R": "WanVideoTextEmbedBridge"
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- "type": "WanVideoTeaCache",
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- "flags": {},
- "order": 2,
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- "inputs": [],
- "outputs": [
- {
- "name": "cache_args",
- "type": "CACHEARGS",
- "links": [
- 66
- ]
- }
- ],
- "properties": {
- "cnr_id": "ComfyUI-WanVideoWrapper",
- "ver": "76ea2aa6a664edbd553799f78d6bafdd23e34dc6",
- "Node name for S&R": "WanVideoTeaCache"
+ "cnr_id": "comfyui-multigpu",
+ "ver": "15ff29c63b816a5d4139557730da6b4dae2840cf",
+ "Node name for S&R": "WanVideoVAELoaderMultiGPU"
},
"widgets_values": [
- 0.25,
- 1,
- -1,
- "offload_device",
- "true",
- "e"
- ]
+ "wan_2.1_vae.safetensors",
+ "cuda:0",
+ "bf16"
+ ],
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
},
{
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"type": "WanVideoEmptyEmbeds",
"pos": [
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],
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315,
126
],
"flags": {},
- "order": 3,
+ "order": 1,
"mode": 0,
"inputs": [
{
@@ -281,15 +103,15 @@
"id": 55,
"type": "WanVideoEnhanceAVideo",
"pos": [
- 1282.9122314453125,
- -994.9732666015625
+ 1216.34375,
+ -912.3005981445312
],
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],
"flags": {},
- "order": 4,
+ "order": 2,
"mode": 0,
"inputs": [],
"outputs": [
@@ -313,61 +135,74 @@
]
},
{
- "id": 66,
- "type": "WanVideoSetBlockSwap",
+ "id": 75,
+ "type": "WanVideoDecodeMultiGPU",
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- "order": 14,
+ "order": 13,
"mode": 0,
"inputs": [
{
- "name": "model",
- "type": "WANVIDEOMODEL",
- "link": 84
+ "name": "vae",
+ "type": "WANVAE",
+ "link": 85
},
{
- "name": "block_swap_args",
- "shape": 7,
- "type": "BLOCKSWAPARGS",
- "link": 72
+ "name": "load_device",
+ "type": "MULTIGPUDEVICE",
+ "link": 86
+ },
+ {
+ "name": "samples",
+ "type": "LATENT",
+ "link": 87
}
],
"outputs": [
{
- "name": "model",
- "type": "WANVIDEOMODEL",
- "links": []
+ "name": "images",
+ "type": "IMAGE",
+ "links": [
+ 88
+ ]
}
],
"properties": {
- "cnr_id": "ComfyUI-WanVideoWrapper",
- "ver": "7e290c67bff1f906cdab84523018573f6c9d4d7f",
- "Node name for S&R": "WanVideoSetBlockSwap"
+ "cnr_id": "comfyui-multigpu",
+ "ver": "db931d66c31acbcfce26f29babfb552509e586aa",
+ "Node name for S&R": "WanVideoDecodeMultiGPU"
},
- "widgets_values": [],
- "color": "#223",
- "bgcolor": "#335"
+ "widgets_values": [
+ false,
+ 272,
+ 272,
+ 144,
+ 128,
+ "default"
+ ],
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
},
{
"id": 69,
"type": "GetImageSizeAndCount",
"pos": [
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+ "order": 14,
"mode": 0,
"inputs": [
{
@@ -385,19 +220,19 @@
]
},
{
- "label": "width",
+ "label": "832 width",
"name": "width",
"type": "INT",
"links": null
},
{
- "label": "height",
+ "label": "480 height",
"name": "height",
"type": "INT",
"links": null
},
{
- "label": "count",
+ "label": "81 count",
"name": "count",
"type": "INT",
"links": null
@@ -411,95 +246,18 @@
"widgets_values": []
},
{
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- "type": "VHS_VideoCombine",
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- "link": 78
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- "name": "audio",
- "shape": 7,
- "type": "AUDIO",
- "link": null
- },
- {
- "name": "meta_batch",
- "shape": 7,
- "type": "VHS_BatchManager",
- "link": null
- },
- {
- "name": "vae",
- "shape": 7,
- "type": "VAE",
- "link": null
- }
- ],
- "outputs": [
- {
- "name": "Filenames",
- "type": "VHS_FILENAMES",
- "links": null
- }
- ],
- "properties": {
- "cnr_id": "comfyui-videohelpersuite",
- "ver": "0a75c7958fe320efcb052f1d9f8451fd20c730a8",
- "Node name for S&R": "VHS_VideoCombine"
- },
- "widgets_values": {
- "frame_rate": 16,
- "loop_count": 0,
- "filename_prefix": "WanVideo2_1_T2V",
- "format": "video/h264-mp4",
- "pix_fmt": "yuv420p",
- "crf": 19,
- "save_metadata": true,
- "trim_to_audio": false,
- "pingpong": false,
- "save_output": true,
- "videopreview": {
- "hidden": false,
- "paused": false,
- "params": {
- "filename": "WanVideo2_1_T2V_00020.mp4",
- "subfolder": "",
- "type": "output",
- "format": "video/h264-mp4",
- "frame_rate": 16,
- "workflow": "WanVideo2_1_T2V_00020.png",
- "fullpath": "/home/johnj/ComfyUI/output/WanVideo2_1_T2V_00020.mp4"
- }
- }
- }
- },
- {
- "id": 62,
+ "id": 74,
"type": "WanVideoVAELoaderMultiGPU",
"pos": [
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],
"size": [
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126
],
"flags": {},
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+ "order": 3,
"mode": 0,
"inputs": [
{
@@ -513,23 +271,72 @@
{
"name": "vae",
"type": "WANVAE",
- "links": []
+ "links": [
+ 85
+ ]
},
{
"name": "load_device",
"type": "MULTIGPUDEVICE",
- "links": null
+ "links": [
+ 86
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "comfyui-multigpu",
+ "ver": "db931d66c31acbcfce26f29babfb552509e586aa",
+ "Node name for S&R": "WanVideoVAELoaderMultiGPU"
+ },
+ "widgets_values": [
+ "wan_2.1_vae.safetensors",
+ "cuda:1",
+ "bf16"
+ ],
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
+ },
+ {
+ "id": 60,
+ "type": "LoadWanVideoT5TextEncoderMultiGPU",
+ "pos": [
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+ -32.73524856567383
+ ],
+ "size": [
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+ 150
+ ],
+ "flags": {},
+ "order": 4,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [
+ {
+ "name": "wan_t5_model",
+ "type": "WANTEXTENCODER",
+ "links": [
+ 63
+ ]
+ },
+ {
+ "name": "load_device",
+ "type": "MULTIGPUDEVICE",
+ "links": [
+ 89
+ ]
}
],
"properties": {
"cnr_id": "comfyui-multigpu",
"ver": "15ff29c63b816a5d4139557730da6b4dae2840cf",
- "Node name for S&R": "WanVideoVAELoaderMultiGPU"
+ "Node name for S&R": "LoadWanVideoT5TextEncoderMultiGPU"
},
"widgets_values": [
- "wan_2.1_vae.safetensors",
- "cuda:0",
- "bf16"
+ "umt5-xxl-enc-bf16.safetensors",
+ "bf16",
+ "cuda:1",
+ "disabled"
],
"color": "#008181",
"bgcolor": "rgba(24,24,27,.9)"
@@ -546,14 +353,14 @@
342
],
"flags": {},
- "order": 6,
+ "order": 10,
"mode": 0,
"inputs": [
{
"name": "compile_args",
"shape": 7,
"type": "WANCOMPILEARGS",
- "link": null
+ "link": 91
},
{
"name": "block_swap_args",
@@ -603,7 +410,6 @@
"name": "model",
"type": "WANVIDEOMODEL",
"links": [
- 82,
84
]
},
@@ -621,7 +427,7 @@
"Node name for S&R": "WanVideoModelLoaderMultiGPU"
},
"widgets_values": [
- "wan2.1_t2v_1.3B_bf16.safetensors",
+ "Wan2_1-T2V-14B_fp8_e5m2.safetensors",
"bf16",
"disabled",
"offload_device",
@@ -633,61 +439,95 @@
"bgcolor": "rgba(24,24,27,.9)"
},
{
- "id": 60,
- "type": "LoadWanVideoT5TextEncoderMultiGPU",
+ "id": 70,
+ "type": "VHS_VideoCombine",
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{
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- "type": "WANTEXTENCODER",
- "links": [
- 63
- ]
+ "name": "images",
+ "type": "IMAGE",
+ "link": 78
},
{
- "name": "load_device",
- "type": "MULTIGPUDEVICE",
+ "name": "audio",
+ "shape": 7,
+ "type": "AUDIO",
+ "link": null
+ },
+ {
+ "name": "meta_batch",
+ "shape": 7,
+ "type": "VHS_BatchManager",
+ "link": null
+ },
+ {
+ "name": "vae",
+ "shape": 7,
+ "type": "VAE",
+ "link": null
+ }
+ ],
+ "outputs": [
+ {
+ "name": "Filenames",
+ "type": "VHS_FILENAMES",
"links": null
}
],
"properties": {
- "cnr_id": "comfyui-multigpu",
- "ver": "15ff29c63b816a5d4139557730da6b4dae2840cf",
- "Node name for S&R": "LoadWanVideoT5TextEncoderMultiGPU"
+ "cnr_id": "comfyui-videohelpersuite",
+ "ver": "0a75c7958fe320efcb052f1d9f8451fd20c730a8",
+ "Node name for S&R": "VHS_VideoCombine"
},
- "widgets_values": [
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- "bf16",
- "cuda:0",
- "disabled"
- ],
- "color": "#008181",
- "bgcolor": "rgba(24,24,27,.9)"
+ "widgets_values": {
+ "frame_rate": 16,
+ "loop_count": 0,
+ "filename_prefix": "MultiGPU",
+ "format": "video/h264-mp4",
+ "pix_fmt": "yuv420p",
+ "crf": 19,
+ "save_metadata": true,
+ "trim_to_audio": false,
+ "pingpong": false,
+ "save_output": true,
+ "videopreview": {
+ "hidden": false,
+ "paused": false,
+ "params": {
+ "filename": "MultiGPU_00056.mp4",
+ "subfolder": "",
+ "type": "output",
+ "format": "video/h264-mp4",
+ "frame_rate": 16,
+ "workflow": "MultiGPU_00056.png",
+ "fullpath": "/home/johnj/ComfyUI/output/MultiGPU_00056.mp4"
+ }
+ }
+ }
},
{
"id": 61,
"type": "WanVideoTextEncodeMultiGPU",
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{
@@ -700,7 +540,7 @@
"name": "load_device",
"shape": 7,
"type": "MULTIGPUDEVICE",
- "link": null
+ "link": 89
},
{
"name": "model_to_offload",
@@ -724,7 +564,7 @@
"Node name for S&R": "WanVideoTextEncodeMultiGPU"
},
"widgets_values": [
- "A towering technological monolith in a cyberpunk cityscape at night, with \"DisTorch 2\" emblazoned across its surface in massive neon blue-green mixed with purple letters that illuminate the surrounding buildings. The text occupies the central third of the frame, crafted from glowing plasma tubes and crackling energy. The model file suffix \"now with .safetensors!\" in same stying but smaller font directly underneath. Rain-slicked streets below reflect the brilliant signage, while holographic advertisements and flying vehicles populate the background. Moody atmospheric lighting, heavy contrast, photorealistic textures, cinematic color grading. ",
+ "A towering technological monolith in a cyberpunk cityscape at night, with \"WanVideoWrapper\" and \"T2V\" emblazoned across its surface in massive neon blue-green mixed with purple letters that illuminate the surrounding buildings. The text occupies the center of the frame, crafted from glowing plasma tubes and crackling energy. Rain-slicked streets below reflect the brilliant signage, while holographic advertisements and flying vehicles populate the background. Moody atmospheric lighting, heavy contrast, photorealistic textures, cinematic color grading. ",
"č²č°č³äø½ļ¼čæęļ¼éęļ¼ē»č樔ē³äøęø
ļ¼åå¹ļ¼é£ę ¼ļ¼ä½åļ¼ē»ä½ļ¼ē»é¢ļ¼éę¢ļ¼ę“ä½åē°ļ¼ę差蓨éļ¼ä½č“Øéļ¼JPEGå缩ę®ēļ¼äøéēļ¼ę®ē¼ŗēļ¼å¤ä½ēęęļ¼ē»å¾äøå„½ēęéØļ¼ē»å¾äøå„½ēčøéØļ¼ēøå½¢ēļ¼ęÆå®¹ēļ¼å½¢ęēøå½¢ēč¢ä½ļ¼ęęčåļ¼éę¢äøåØēē»é¢ļ¼ęä¹±ēčęÆļ¼äøę”č
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"cpu",
false
@@ -732,99 +572,6 @@
"color": "#008181",
"bgcolor": "rgba(24,24,27,.9)"
},
- {
- "id": 65,
- "type": "WanVideoBlockSwapMultiGPU",
- "pos": [
- -41.53060531616211,
- -427.4794616699219
- ],
- "size": [
- 292.8716735839844,
- 226
- ],
- "flags": {},
- "order": 8,
- "mode": 0,
- "inputs": [],
- "outputs": [
- {
- "name": "block_swap_args",
- "type": "BLOCKSWAPARGS",
- "links": [
- 72
- ]
- }
- ],
- "properties": {
- "cnr_id": "comfyui-multigpu",
- "ver": "15ff29c63b816a5d4139557730da6b4dae2840cf",
- "Node name for S&R": "WanVideoBlockSwapMultiGPU"
- },
- "widgets_values": [
- 5,
- "cuda:2",
- "cpu",
- false,
- false,
- false,
- 0,
- "cuda:1"
- ],
- "color": "#008181",
- "bgcolor": "rgba(24,24,27,.9)"
- },
- {
- "id": 74,
- "type": "WanVideoVAELoaderMultiGPU",
- "pos": [
- 1695.74169921875,
- -860.8320922851562
- ],
- "size": [
- 294.1841735839844,
- 126
- ],
- "flags": {},
- "order": 9,
- "mode": 0,
- "inputs": [
- {
- "name": "compile_args",
- "shape": 7,
- "type": "WANCOMPILEARGS",
- "link": null
- }
- ],
- "outputs": [
- {
- "name": "vae",
- "type": "WANVAE",
- "links": [
- 85
- ]
- },
- {
- "name": "load_device",
- "type": "MULTIGPUDEVICE",
- "links": [
- 86
- ]
- }
- ],
- "properties": {
- "cnr_id": "comfyui-multigpu",
- "ver": "db931d66c31acbcfce26f29babfb552509e586aa",
- "Node name for S&R": "WanVideoVAELoaderMultiGPU"
- },
- "widgets_values": [
- "wan_2.1_vae.safetensors",
- "cuda:0",
- "bf16"
- ],
- "color": "#008181",
- "bgcolor": "rgba(24,24,27,.9)"
- },
{
"id": 63,
"type": "WanVideoSamplerMultiGPU",
@@ -837,13 +584,13 @@
922
],
"flags": {},
- "order": 16,
+ "order": 12,
"mode": 0,
"inputs": [
{
"name": "model",
"type": "WANVIDEOMODEL",
- "link": 82
+ "link": 90
},
{
"name": "compute_device",
@@ -969,9 +716,9 @@
25,
6,
5,
- 47,
+ 60,
"increment",
- false,
+ true,
"unipc",
0,
1,
@@ -985,87 +732,115 @@
"bgcolor": "rgba(24,24,27,.9)"
},
{
- "id": 75,
- "type": "WanVideoDecodeMultiGPU",
+ "id": 66,
+ "type": "WanVideoSetBlockSwap",
"pos": [
- 1667.2755126953125,
- -590.3536376953125
+ 683.7297973632812,
+ -358.79156494140625
],
"size": [
- 271.8716735839844,
- 218
+ 201.76815795898438,
+ 46
],
"flags": {},
- "order": 17,
+ "order": 11,
"mode": 0,
"inputs": [
{
- "name": "vae",
- "type": "WANVAE",
- "link": 85
+ "name": "model",
+ "type": "WANVIDEOMODEL",
+ "link": 84
},
{
- "name": "load_device",
- "type": "MULTIGPUDEVICE",
- "link": 86
- },
- {
- "name": "samples",
- "type": "LATENT",
- "link": 87
+ "name": "block_swap_args",
+ "shape": 7,
+ "type": "BLOCKSWAPARGS",
+ "link": 72
}
],
"outputs": [
{
- "name": "images",
- "type": "IMAGE",
+ "name": "model",
+ "type": "WANVIDEOMODEL",
"links": [
- 88
+ 90
]
}
],
"properties": {
- "cnr_id": "comfyui-multigpu",
- "ver": "db931d66c31acbcfce26f29babfb552509e586aa",
- "Node name for S&R": "WanVideoDecodeMultiGPU"
+ "cnr_id": "ComfyUI-WanVideoWrapper",
+ "ver": "7e290c67bff1f906cdab84523018573f6c9d4d7f",
+ "Node name for S&R": "WanVideoSetBlockSwap"
},
- "widgets_values": [
- false,
- 272,
- 272,
- 144,
- 128,
- "default"
- ],
- "color": "#008181",
- "bgcolor": "rgba(24,24,27,.9)"
+ "widgets_values": [],
+ "color": "#223",
+ "bgcolor": "#335"
},
{
- "id": 35,
- "type": "WanVideoTorchCompileSettings",
+ "id": 52,
+ "type": "WanVideoTeaCache",
"pos": [
- 352.3750915527344,
- -817.9258422851562
+ 828.8751831054688,
+ -948.4996948242188
],
"size": [
- 390.5999755859375,
+ 315,
+ 178
+ ],
+ "flags": {},
+ "order": 5,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [
+ {
+ "name": "cache_args",
+ "type": "CACHEARGS",
+ "links": [
+ 66
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "ComfyUI-WanVideoWrapper",
+ "ver": "76ea2aa6a664edbd553799f78d6bafdd23e34dc6",
+ "Node name for S&R": "WanVideoTeaCache"
+ },
+ "widgets_values": [
+ 0.25,
+ 1,
+ -1,
+ "offload_device",
+ false,
+ "e"
+ ]
+ },
+ {
+ "id": 78,
+ "type": "WanVideoTorchCompileSettings",
+ "pos": [
+ 311.9624328613281,
+ -764.6751098632812
+ ],
+ "size": [
+ 342.74609375,
202
],
"flags": {},
- "order": 10,
+ "order": 6,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "torch_compile_args",
"type": "WANCOMPILEARGS",
- "slot_index": 0,
- "links": []
+ "links": [
+ 91
+ ]
}
],
"properties": {
"cnr_id": "ComfyUI-WanVideoWrapper",
- "ver": "76ea2aa6a664edbd553799f78d6bafdd23e34dc6",
+ "ver": "e2d8c9bef572d488d6474caa144436e08b543605",
"Node name for S&R": "WanVideoTorchCompileSettings"
},
"widgets_values": [
@@ -1077,41 +852,75 @@
true,
128
]
+ },
+ {
+ "id": 65,
+ "type": "WanVideoBlockSwapMultiGPU",
+ "pos": [
+ 895.7860717773438,
+ -325.48040771484375
+ ],
+ "size": [
+ 292.8716735839844,
+ 226
+ ],
+ "flags": {},
+ "order": 7,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [
+ {
+ "name": "block_swap_args",
+ "type": "BLOCKSWAPARGS",
+ "links": [
+ 72
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "comfyui-multigpu",
+ "ver": "15ff29c63b816a5d4139557730da6b4dae2840cf",
+ "Node name for S&R": "WanVideoBlockSwapMultiGPU"
+ },
+ "widgets_values": [
+ 21,
+ "cuda:2",
+ "cpu",
+ false,
+ false,
+ false,
+ 0,
+ "cuda:1"
+ ],
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
+ },
+ {
+ "id": 76,
+ "type": "MarkdownNote",
+ "pos": [
+ -584.4541625976562,
+ -762.4033203125
+ ],
+ "size": [
+ 647.0803833007812,
+ 804.3665771484375
+ ],
+ "flags": {},
+ "order": 8,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [],
+ "title": "ComfyUI-MultiGPU Note - ComfyUI-WanVideoWrapper",
+ "properties": {},
+ "widgets_values": [
+ "These nodes are designed to work with ComfyUI-WanVideoWrapper they enable UNets, CLIPs, and VAEs to be loaded on any available device. This is a replication of the original workflow by kijai which can be found here: [wanvideo_T2V_example_03.json](https://github.com/kijai/ComfyUI-WanVideoWrapper/blob/main/example_workflows/wanvideo_T2V_example_03.json). In this case we assume that there is a second video card in the system that can donate ~7G for the model. Literally any device on the PCIe bus can be used for model storage with very little impact to WanVideo generation times.\n\n## Custom Node\n- [ComfyUI-MultiGPU](https://github.com/pollockjj/ComfyUI-MultiGPU)\n- [ComfyUI-WanVideoWrapper](https://github.com/kijai/ComfyUI-WanVideoWrapper)\n```\nš ComfyUI/\nāāā š custom_nodes/\nā āāā š ComfyUI-MultiGPU/\nā āāā š ComfyUI-WanVideoWrapper\n```\n## Model links\n\n**Diffusion model**\n- [Wan2_1-T2V-14B_fp8_e5m2.safetensors](https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Wan2_1-T2V-14B_fp8_e5m2.safetensors)\n\n**CLIP**\n- [umt5_xxl_enc-bf16.safetensors](https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/umt5-xxl-enc-bf16.safetensors)\n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/blob/main/split_files/vae/wan_2.1_vae.safetensors)\n\n**LoRA**\n- [wan2.1-1.3b-control-lora-tile-v1.1_comfy.safetensors](https://huggingface.co/spacepxl/Wan2.1-control-loras/resolve/main/1.3b/tile/wan2.1-1.3b-control-lora-tile-v1.1_comfy.safetensors)\n\n## Model Storage Location\n\n```\nš ComfyUI/\nāāā š models/\nā āāā š clip/\nā ā āāā umt5_xxl_enc-bf16.safetensors \nā āāā š unet/\nā ā āāā Wan2_1-T2V-14B_fp8_e5m2.safetensors [šŖšŖšŖšŖšŖš©š©š©š©š©]\nā āāāāš loras/\nā ā āāā wan2.1-1.3b-control-lora-tile-v1.1_comfy.safetensors\nā āāā š vae/\nā ā āāā wan_2.1_vae.safetensors \n```\n## Device Mapping (Example: Two GPUs, 1 CPU)\n```\nš„ļø system \nāāā š¢ cuda:0\nā āāā Wan2_1-T2V-14B_fp8_e5m2.safetensors [š©š©š©š©š©]\nā āāā wan2.1-1.3b-control-lora-tile-v1.1_comfy.safetensors\nāāā š£ cuda:1\nā āāā Wan2_1-T2V-14B_fp8_e5m2.safetensors [šŖšŖšŖšŖšŖ]\nā āāā umt5_xxl_enc-bf16.safetensors\nā āāā wan_2.1_vae.safetensors\nāāā āļø cpu\n āāā Empty\n```"
+ ],
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
}
],
"links": [
- [
- 52,
- 48,
- 0,
- 49,
- 0,
- "CLIP"
- ],
- [
- 53,
- 48,
- 0,
- 50,
- 0,
- "CLIP"
- ],
- [
- 54,
- 49,
- 0,
- 46,
- 0,
- "CONDITIONING"
- ],
- [
- 55,
- 50,
- 0,
- 46,
- 1,
- "CONDITIONING"
- ],
[
63,
60,
@@ -1168,14 +977,6 @@
0,
"IMAGE"
],
- [
- 82,
- 72,
- 0,
- 63,
- 0,
- "WANVIDEOMODEL"
- ],
[
83,
72,
@@ -1223,30 +1024,40 @@
69,
0,
"IMAGE"
+ ],
+ [
+ 89,
+ 60,
+ 1,
+ 61,
+ 1,
+ "MULTIGPUDEVICE"
+ ],
+ [
+ 90,
+ 66,
+ 0,
+ 63,
+ 0,
+ "WANVIDEOMODEL"
+ ],
+ [
+ 91,
+ 78,
+ 0,
+ 72,
+ 0,
+ "WANCOMPILEARGS"
]
],
- "groups": [
- {
- "id": 1,
- "title": "ComfyUI text encoding alternative",
- "bounding": [
- -26.172378540039062,
- 365.4286193847656,
- 1210.621337890625,
- 805.9080810546875
- ],
- "color": "#3f789e",
- "font_size": 24,
- "flags": {}
- }
- ],
+ "groups": [],
"config": {},
"extra": {
"ds": {
- "scale": 0.620921323059155,
+ "scale": 0.6830134553650705,
"offset": [
- 949.2262021137265,
- 1175.3792206745793
+ 655.4991813722315,
+ 1152.1915705024237
]
},
"frontendVersion": "1.27.10",
diff --git a/example_workflows/distorch/flux1dev_gguf_distorch.json b/example_workflows/distorch/flux1dev_gguf_distorch.json
deleted file mode 100755
index bec502f..0000000
--- a/example_workflows/distorch/flux1dev_gguf_distorch.json
+++ /dev/null
@@ -1,597 +0,0 @@
-{
- "last_node_id": 52,
- "last_link_id": 103,
- "nodes": [
- {
- "id": 22,
- "type": "BasicGuider",
- "pos": [
- 383.62896728515625,
- 96.27555847167969
- ],
- "size": [
- 161.1999969482422,
- 46
- ],
- "flags": {},
- "order": 8,
- "mode": 0,
- "inputs": [
- {
- "name": "model",
- "type": "MODEL",
- "link": 102,
- "slot_index": 0
- },
- {
- "name": "conditioning",
- "type": "CONDITIONING",
- "link": 87,
- "slot_index": 1
- }
- ],
- "outputs": [
- {
- "name": "GUIDER",
- "type": "GUIDER",
- "links": [
- 30
- ],
- "slot_index": 0,
- "shape": 3
- }
- ],
- "properties": {
- "Node name for S&R": "BasicGuider"
- },
- "widgets_values": []
- },
- {
- "id": 16,
- "type": "KSamplerSelect",
- "pos": [
- 398.8528137207031,
- 360.1959533691406
- ],
- "size": [
- 210,
- 58
- ],
- "flags": {},
- "order": 0,
- "mode": 0,
- "inputs": [],
- "outputs": [
- {
- "name": "SAMPLER",
- "type": "SAMPLER",
- "links": [
- 19
- ],
- "shape": 3
- }
- ],
- "properties": {
- "Node name for S&R": "KSamplerSelect"
- },
- "widgets_values": [
- "deis"
- ]
- },
- {
- "id": 13,
- "type": "SamplerCustomAdvanced",
- "pos": [
- 883.27783203125,
- 267.0603942871094
- ],
- "size": [
- 236.8000030517578,
- 387.28668212890625
- ],
- "flags": {},
- "order": 9,
- "mode": 0,
- "inputs": [
- {
- "name": "noise",
- "type": "NOISE",
- "link": 37,
- "slot_index": 0
- },
- {
- "name": "guider",
- "type": "GUIDER",
- "link": 30,
- "slot_index": 1
- },
- {
- "name": "sampler",
- "type": "SAMPLER",
- "link": 19,
- "slot_index": 2
- },
- {
- "name": "sigmas",
- "type": "SIGMAS",
- "link": 20,
- "slot_index": 3
- },
- {
- "name": "latent_image",
- "type": "LATENT",
- "link": 82,
- "slot_index": 4
- }
- ],
- "outputs": [
- {
- "name": "output",
- "type": "LATENT",
- "links": [
- 83
- ],
- "slot_index": 0,
- "shape": 3
- },
- {
- "name": "denoised_output",
- "type": "LATENT",
- "links": null,
- "shape": 3
- }
- ],
- "properties": {
- "Node name for S&R": "SamplerCustomAdvanced"
- },
- "widgets_values": []
- },
- {
- "id": 9,
- "type": "SaveImage",
- "pos": [
- 1153.8681640625,
- 66.58897399902344
- ],
- "size": [
- 512.2255859375,
- 692.112548828125
- ],
- "flags": {},
- "order": 11,
- "mode": 0,
- "inputs": [
- {
- "name": "images",
- "type": "IMAGE",
- "link": 85
- }
- ],
- "outputs": [],
- "properties": {
- "Node name for S&R": "SaveImage"
- },
- "widgets_values": [
- "ComfyUI"
- ]
- },
- {
- "id": 41,
- "type": "CLIPTextEncode",
- "pos": [
- 420.7973937988281,
- 467.3779296875
- ],
- "size": [
- 400,
- 200
- ],
- "flags": {},
- "order": 7,
- "mode": 0,
- "inputs": [
- {
- "name": "clip",
- "type": "CLIP",
- "link": 99
- }
- ],
- "outputs": [
- {
- "name": "CONDITIONING",
- "type": "CONDITIONING",
- "links": [
- 87
- ],
- "slot_index": 0
- }
- ],
- "properties": {
- "Node name for S&R": "CLIPTextEncode"
- },
- "widgets_values": [
- "A towering technological monolith in a cyberpunk cityscape at night, with \"DisTorch\" emblazoned across its surface in massive neon red letters that illuminate the surrounding buildings. The text occupies the central third of the frame, crafted from glowing plasma tubes and crackling energy. Rain-slicked streets below reflect the brilliant signage, while holographic advertisements and flying vehicles populate the background. Moody atmospheric lighting, heavy contrast, photorealistic textures, cinematic color grading."
- ]
- },
- {
- "id": 17,
- "type": "BasicScheduler",
- "pos": [
- 660.5484008789062,
- 118.03018188476562
- ],
- "size": [
- 210,
- 106
- ],
- "flags": {},
- "order": 6,
- "mode": 0,
- "inputs": [
- {
- "name": "model",
- "type": "MODEL",
- "link": 103,
- "slot_index": 0
- }
- ],
- "outputs": [
- {
- "name": "SIGMAS",
- "type": "SIGMAS",
- "links": [
- 20
- ],
- "shape": 3
- }
- ],
- "properties": {
- "Node name for S&R": "BasicScheduler"
- },
- "widgets_values": [
- "ddim_uniform",
- 30,
- 1
- ]
- },
- {
- "id": 40,
- "type": "VAEDecode",
- "pos": [
- 875.2288818359375,
- 120.00743103027344
- ],
- "size": [
- 210,
- 46
- ],
- "flags": {},
- "order": 10,
- "mode": 0,
- "inputs": [
- {
- "name": "samples",
- "type": "LATENT",
- "link": 83
- },
- {
- "name": "vae",
- "type": "VAE",
- "link": 84
- }
- ],
- "outputs": [
- {
- "name": "IMAGE",
- "type": "IMAGE",
- "links": [
- 85
- ],
- "slot_index": 0
- }
- ],
- "properties": {
- "Node name for S&R": "VAEDecode"
- },
- "widgets_values": []
- },
- {
- "id": 39,
- "type": "EmptySD3LatentImage",
- "pos": [
- 644.3074951171875,
- 299.38372802734375
- ],
- "size": [
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- ],
- "flags": {},
- "order": 1,
- "mode": 0,
- "inputs": [],
- "outputs": [
- {
- "name": "LATENT",
- "type": "LATENT",
- "links": [
- 82
- ],
- "slot_index": 0
- }
- ],
- "properties": {
- "Node name for S&R": "EmptySD3LatentImage"
- },
- "widgets_values": [
- 1024,
- 1024,
- 1
- ]
- },
- {
- "id": 25,
- "type": "RandomNoise",
- "pos": [
- 390.974853515625,
- 209.66781616210938
- ],
- "size": [
- 236.60824584960938,
- 88.84210968017578
- ],
- "flags": {},
- "order": 2,
- "mode": 0,
- "inputs": [],
- "outputs": [
- {
- "name": "NOISE",
- "type": "NOISE",
- "links": [
- 37
- ],
- "shape": 3
- }
- ],
- "properties": {
- "Node name for S&R": "RandomNoise"
- },
- "widgets_values": [
- 5770521,
- "fixed"
- ]
- },
- {
- "id": 37,
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diff --git a/example_workflows/flux unet dual_clip vae loaders.jpg b/example_workflows/flux unet dual_clip vae loaders.jpg
new file mode 100755
index 0000000..43e065b
Binary files /dev/null and b/example_workflows/flux unet dual_clip vae loaders.jpg differ
diff --git a/example_workflows/multiGPU/flux_dev_example_MultiGPU.json b/example_workflows/flux unet dual_clip vae loaders.json
similarity index 76%
rename from example_workflows/multiGPU/flux_dev_example_MultiGPU.json
rename to example_workflows/flux unet dual_clip vae loaders.json
index c7210c0..72bcc06 100755
--- a/example_workflows/multiGPU/flux_dev_example_MultiGPU.json
+++ b/example_workflows/flux unet dual_clip vae loaders.json
@@ -1,7 +1,7 @@
{
"id": "4d231a10-da3b-4b12-8698-449accd4b87a",
"revision": 0,
- "last_node_id": 40,
+ "last_node_id": 43,
"last_link_id": 119,
"nodes": [
{
@@ -16,7 +16,7 @@
106
],
"flags": {},
- "order": 12,
+ "order": 11,
"mode": 0,
"inputs": [
{
@@ -35,6 +35,8 @@
}
],
"properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
"Node name for S&R": "BasicScheduler"
},
"widgets_values": [
@@ -68,6 +70,8 @@
}
],
"properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
"Node name for S&R": "KSamplerSelect"
},
"widgets_values": [
@@ -86,7 +90,7 @@
58
],
"flags": {},
- "order": 11,
+ "order": 12,
"mode": 0,
"inputs": [
{
@@ -106,6 +110,8 @@
}
],
"properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
"Node name for S&R": "FluxGuidance"
},
"widgets_values": [
@@ -151,6 +157,8 @@
}
],
"properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
"Node name for S&R": "BasicGuider"
},
"widgets_values": []
@@ -212,6 +220,8 @@
}
],
"properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
"Node name for S&R": "SamplerCustomAdvanced"
},
"widgets_values": []
@@ -241,56 +251,17 @@
}
],
"properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
"Node name for S&R": "RandomNoise"
},
"widgets_values": [
- 826914720443214,
+ 653376826227025,
"randomize"
],
"color": "#2a363b",
"bgcolor": "#3f5159"
},
- {
- "id": 8,
- "type": "VAEDecode",
- "pos": [
- 866,
- 367
- ],
- "size": [
- 210,
- 46
- ],
- "flags": {},
- "order": 15,
- "mode": 0,
- "inputs": [
- {
- "name": "samples",
- "type": "LATENT",
- "link": 24
- },
- {
- "name": "vae",
- "type": "VAE",
- "link": 119
- }
- ],
- "outputs": [
- {
- "name": "IMAGE",
- "type": "IMAGE",
- "slot_index": 0,
- "links": [
- 9
- ]
- }
- ],
- "properties": {
- "Node name for S&R": "VAEDecode"
- },
- "widgets_values": []
- },
{
"id": 30,
"type": "ModelSamplingFlux",
@@ -303,7 +274,7 @@
130
],
"flags": {},
- "order": 10,
+ "order": 9,
"mode": 0,
"inputs": [
{
@@ -340,6 +311,8 @@
}
],
"properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
"Node name for S&R": "ModelSamplingFlux"
},
"widgets_values": [
@@ -392,6 +365,8 @@
}
],
"properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
"Node name for S&R": "EmptySD3LatentImage"
},
"widgets_values": [
@@ -480,60 +455,6 @@
"color": "#323",
"bgcolor": "#535"
},
- {
- "id": 9,
- "type": "SaveImage",
- "pos": [
- 1155,
- 196
- ],
- "size": [
- 985.3012084960938,
- 1060.3828125
- ],
- "flags": {},
- "order": 16,
- "mode": 0,
- "inputs": [
- {
- "name": "images",
- "type": "IMAGE",
- "link": 9
- }
- ],
- "outputs": [],
- "properties": {
- "Node name for S&R": "SaveImage"
- },
- "widgets_values": [
- "ComfyUI"
- ]
- },
- {
- "id": 37,
- "type": "Note",
- "pos": [
- 480,
- 1344
- ],
- "size": [
- 314.99755859375,
- 117.98363494873047
- ],
- "flags": {},
- "order": 4,
- "mode": 0,
- "inputs": [],
- "outputs": [],
- "properties": {
- "text": ""
- },
- "widgets_values": [
- "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"
- ],
- "color": "#432",
- "bgcolor": "#653"
- },
{
"id": 6,
"type": "CLIPTextEncode",
@@ -546,7 +467,7 @@
164.31304931640625
],
"flags": {},
- "order": 9,
+ "order": 10,
"mode": 0,
"inputs": [
{
@@ -567,23 +488,105 @@
],
"title": "CLIP Text Encode (Positive Prompt)",
"properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": [
- "A towering technological monolith in a cyberpunk cityscape at night, with \"DisTorch 2\" emblazoned across its surface in massive neon blue-green mixed with purple letters that illuminate the surrounding buildings. The text occupies the central third of the frame, crafted from glowing plasma tubes and crackling energy. The model file suffix \"now with .safetensors!\" in same stying but smaller font directly underneath. Rain-slicked streets below reflect the brilliant signage, while holographic advertisements and flying vehicles populate the background. Moody atmospheric lighting, heavy contrast, photorealistic textures, cinematic color grading. "
+ "A towering technological monolith in a cyberpunk cityscape at night, with \"MultiGPU\" emblazoned across its surface in massive neon blue-green mixed with purple letters that illuminate the surrounding buildings. The text occupies the central third of the frame, crafted from glowing plasma tubes and crackling energy. Rain-slicked streets below reflect the brilliant signage, while holographic advertisements and flying vehicles populate the background. Moody atmospheric lighting, heavy contrast, photorealistic textures, cinematic color grading. "
],
"color": "#232",
"bgcolor": "#353"
},
+ {
+ "id": 8,
+ "type": "VAEDecode",
+ "pos": [
+ 883.333251953125,
+ 602.3333129882812
+ ],
+ "size": [
+ 210,
+ 46
+ ],
+ "flags": {},
+ "order": 15,
+ "mode": 0,
+ "inputs": [
+ {
+ "name": "samples",
+ "type": "LATENT",
+ "link": 24
+ },
+ {
+ "name": "vae",
+ "type": "VAE",
+ "link": 119
+ }
+ ],
+ "outputs": [
+ {
+ "name": "IMAGE",
+ "type": "IMAGE",
+ "slot_index": 0,
+ "links": [
+ 9
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
+ "Node name for S&R": "VAEDecode"
+ },
+ "widgets_values": []
+ },
+ {
+ "id": 38,
+ "type": "UNETLoaderMultiGPU",
+ "pos": [
+ 32.4267692565918,
+ 128.16644287109375
+ ],
+ "size": [
+ 252.71832275390625,
+ 106
+ ],
+ "flags": {},
+ "order": 4,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [
+ {
+ "name": "MODEL",
+ "type": "MODEL",
+ "links": [
+ 117
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "comfyui-multigpu",
+ "ver": "0d6dfc7524472943ba912a6ec3088757edba15c3",
+ "Node name for S&R": "UNETLoaderMultiGPU"
+ },
+ "widgets_values": [
+ "flux1-dev-fp8.safetensors",
+ "default",
+ "cuda:0"
+ ],
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
+ },
{
"id": 39,
"type": "DualCLIPLoaderMultiGPU",
"pos": [
- 52.45843505859375,
- 284.6034851074219
+ 35.378475189208984,
+ 276.3390197753906
],
"size": [
- 270,
+ 252.36911010742188,
130
],
"flags": {},
@@ -600,30 +603,56 @@
}
],
"properties": {
+ "cnr_id": "comfyui-multigpu",
+ "ver": "0d6dfc7524472943ba912a6ec3088757edba15c3",
"Node name for S&R": "DualCLIPLoaderMultiGPU"
},
"widgets_values": [
- "t5xxl_fp16.safetensors",
+ "t5xxl_fp8_e4m3fn_scaled.safetensors",
"clip_l.safetensors",
"flux",
- "cuda:1"
+ "cpu"
],
- "color": "#233",
- "bgcolor": "#355"
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
+ },
+ {
+ "id": 42,
+ "type": "MarkdownNote",
+ "pos": [
+ -543.3901977539062,
+ 124.58646392822266
+ ],
+ "size": [
+ 536.8795166015625,
+ 540.175537109375
+ ],
+ "flags": {},
+ "order": 6,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [],
+ "title": "ComfyUI-MultiGPU Note - UNETLoader, DualClipLoader, and VAELoader nodes",
+ "properties": {},
+ "widgets_values": [
+ "A standard FLUX.dev .fp8 UNet to test ComfyUI-MultiGPU Comfy Core Loader basic functionality. In this case we are using standard MultiGPU-wrapped nodes to move model components to their own device.\n\n## Model links\n\n**Diffusion model**\n- [flux1-dev-fp8.safetensors](https://huggingface.co/Comfy-Org/flux1-dev/resolve/main/flux1-dev-fp8.safetensors)\n\n**CLIP**\n- [t5xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp8_e4m3fn_scaled.safetensors)\n- [clip_l.safetensors](https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/clip_l.safetensors)\n\n**VAE**\n- [ae.safetensors](https://huggingface.co/black-forest-labs/FLUX.1-dev/resolve/main/ae.safetensors)\n\nModel Storage Location\n\n```\nš ComfyUI/\nāāā š models/\nā āāā š diffusion_models/\nā ā āāā flux1-dev-fp8.safetensors\nā āāā š clip/\nā ā āāā t5xxl_fp8_e4m3fn_scaled.safetensors\nā ā āāā clip_l.safetensors\nā āāā š vae/\nā ā āāā ae.safetensors\n```\n## Device Mapping (Example: Two GPUs, 1 CPU)\n```\nš„ļø system \nāāā š¢ cuda:0\nā āāā flux1-dev-fp8.safetensors\nāāā š£ cuda:1\nā āāā ae.safetensors\nāāā āļø cpu\n āāā t5xxl_fp8_e4m3fn_scaled.safetensors\n āāā clip_l.safetensors\n```"
+ ],
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
},
{
"id": 40,
"type": "VAELoaderMultiGPU",
"pos": [
- 55.872314453125,
- 462.9376220703125
+ 62.4415397644043,
+ 462.18499755859375
],
"size": [
- 268.9281921386719,
- 82
+ 250.19544982910156,
+ 83.10191345214844
],
"flags": {},
- "order": 6,
+ "order": 7,
"mode": 0,
"inputs": [],
"outputs": [
@@ -636,49 +665,47 @@
}
],
"properties": {
+ "cnr_id": "comfyui-multigpu",
+ "ver": "0d6dfc7524472943ba912a6ec3088757edba15c3",
"Node name for S&R": "VAELoaderMultiGPU"
},
"widgets_values": [
"ae.safetensors",
- "cuda:0"
+ "cuda:1"
],
- "color": "#233",
- "bgcolor": "#355"
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
},
{
- "id": 38,
- "type": "UNETLoaderMultiGPU",
+ "id": 9,
+ "type": "SaveImage",
"pos": [
- 62.178836822509766,
- 116.59618377685547
+ 1155,
+ 196
],
"size": [
- 252.71832275390625,
- 106
+ 771.1677856445312,
+ 714.9827880859375
],
"flags": {},
- "order": 7,
+ "order": 16,
"mode": 0,
- "inputs": [],
- "outputs": [
+ "inputs": [
{
- "name": "MODEL",
- "type": "MODEL",
- "links": [
- 117
- ]
+ "name": "images",
+ "type": "IMAGE",
+ "link": 9
}
],
+ "outputs": [],
"properties": {
- "Node name for S&R": "UNETLoaderMultiGPU"
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
+ "Node name for S&R": "SaveImage"
},
"widgets_values": [
- "flux1-dev-fp8.safetensors",
- "default",
- "cuda:0"
- ],
- "color": "#233",
- "bgcolor": "#355"
+ "MultiGPU"
+ ]
}
],
"links": [
@@ -831,14 +858,14 @@
"config": {},
"extra": {
"ds": {
- "scale": 0.6830134553650705,
+ "scale": 0.9090909090909091,
"offset": [
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- 245.01396417277823
+ 549.7571867235707,
+ -6.513564853156251
]
},
+ "frontendVersion": "1.27.10",
"groupNodes": {},
- "frontendVersion": "1.24.4",
"VHS_latentpreview": false,
"VHS_latentpreviewrate": 0,
"VHS_MetadataImage": true,
diff --git a/example_workflows/gguf/flux1dev_2gpu_gguf.json b/example_workflows/gguf/flux1dev_2gpu_gguf.json
deleted file mode 100644
index d45ec54..0000000
--- a/example_workflows/gguf/flux1dev_2gpu_gguf.json
+++ /dev/null
@@ -1,675 +0,0 @@
-{
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- }
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- "properties": {
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- "outputs": [],
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- }
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- "properties": {
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\ No newline at end of file
diff --git a/example_workflows/gguf/hunyuan_2gpu_gguf.json b/example_workflows/gguf/hunyuan_2gpu_gguf.json
deleted file mode 100644
index ec408e5..0000000
--- a/example_workflows/gguf/hunyuan_2gpu_gguf.json
+++ /dev/null
@@ -1,1348 +0,0 @@
-{
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diff --git a/example_workflows/gguf/hunyuan_cpu_1gpu_gguf.json b/example_workflows/gguf/hunyuan_cpu_1gpu_gguf.json
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index 223a9eb..0000000
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\ No newline at end of file
diff --git a/example_workflows/gguf/hunyuan_gguf_MultiGPU.json b/example_workflows/gguf/hunyuan_gguf_MultiGPU.json
deleted file mode 100755
index c5e2e22..0000000
--- a/example_workflows/gguf/hunyuan_gguf_MultiGPU.json
+++ /dev/null
@@ -1,240 +0,0 @@
-{
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- "_meta": {
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- "title": "VAE Decode (Tiled)"
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- "class_type": "Any Switch (rgthree)",
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- "device": "cuda:0"
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- "class_type": "VHS_VideoCombine",
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- "title": "Video Combine š„š
„š
š
¢"
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\ No newline at end of file
diff --git a/example_workflows/gguf/hunyuan_gguf_distorch.json b/example_workflows/gguf/hunyuan_gguf_distorch.json
deleted file mode 100755
index 68f6bd1..0000000
--- a/example_workflows/gguf/hunyuan_gguf_distorch.json
+++ /dev/null
@@ -1,789 +0,0 @@
-{
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- "A light green frog with brown spots stares forward with its left eye moving subtly. The frog's skin is textured with small bumps, and its spots appear in irregular patterns across its head and face. The eye is round and black with a subtle shine. The head is slightly tilted to its left, and the body is barely visible. The background is a flat, solid bright yellow color, extending beyond the frog in all directions, with the lower part having a slight gradient into a lighter green. The camera zooms in slowly on the frog's eye and the frog looks directly at the viewer. The overall lighting is bright and diffused, creating a soft appearance."
- ],
- "color": "#232",
- "bgcolor": "#353"
- },
- {
- "id": 76,
- "type": "VAELoaderMultiGPU",
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- ],
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- "flags": {},
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- "mode": 0,
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- {
- "name": "VAE",
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- "links": [
- 99
- ]
- }
- ],
- "properties": {
- "Node name for S&R": "VAELoaderMultiGPU"
- },
- "widgets_values": [
- "hunyuan_video_vae_bf16.safetensors",
- "cuda:1"
- ],
- "color": "#233",
- "bgcolor": "#355"
- },
{
"id": 75,
"type": "SamplerCustomAdvanced",
"pos": [
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+ -157.08978271484375
],
"size": [
292.4319763183594,
@@ -547,61 +346,25 @@
}
],
"properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
"Node name for S&R": "SamplerCustomAdvanced"
},
"widgets_values": []
},
- {
- "id": 121,
- "type": "UnetLoaderGGUFDisTorch2MultiGPU",
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- ],
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- "flags": {},
- "order": 5,
- "mode": 0,
- "inputs": [],
- "outputs": [
- {
- "name": "MODEL",
- "type": "MODEL",
- "links": [
- 157,
- 158
- ]
- }
- ],
- "properties": {
- "Node name for S&R": "UnetLoaderGGUFDisTorch2MultiGPU"
- },
- "widgets_values": [
- "hunyuan-video-t2v-720p-Q8_0.gguf",
- "cuda:0",
- 8,
- "cpu",
- ""
- ],
- "color": "#233",
- "bgcolor": "#355"
- },
{
"id": 120,
"type": "DualCLIPLoaderGGUFMultiGPU",
"pos": [
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- 143.52830505371094
+ 2600.616455078125,
+ 79.9447250366211
],
"size": [
348.16229248046875,
130
],
"flags": {},
- "order": 6,
+ "order": 3,
"mode": 0,
"inputs": [],
"outputs": [
@@ -615,6 +378,8 @@
}
],
"properties": {
+ "cnr_id": "comfyui-multigpu",
+ "ver": "0d6dfc7524472943ba912a6ec3088757edba15c3",
"Node name for S&R": "DualCLIPLoaderGGUFMultiGPU"
},
"widgets_values": [
@@ -623,8 +388,271 @@
"hunyuan_video",
"cpu"
],
- "color": "#233",
- "bgcolor": "#355"
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
+ },
+ {
+ "id": 76,
+ "type": "VAELoaderMultiGPU",
+ "pos": [
+ 2582.493408203125,
+ 273.3041076660156
+ ],
+ "size": [
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+ 87.14057922363281
+ ],
+ "flags": {},
+ "order": 4,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [
+ {
+ "name": "VAE",
+ "type": "VAE",
+ "slot_index": 0,
+ "links": [
+ 99
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "comfyui-multigpu",
+ "ver": "0d6dfc7524472943ba912a6ec3088757edba15c3",
+ "Node name for S&R": "VAELoaderMultiGPU"
+ },
+ "widgets_values": [
+ "hunyuan_video_vae_bf16.safetensors",
+ "cuda:1"
+ ],
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
+ },
+ {
+ "id": 66,
+ "type": "BasicScheduler",
+ "pos": [
+ 3250.771484375,
+ 41.81864929199219
+ ],
+ "size": [
+ 210,
+ 109.8011474609375
+ ],
+ "flags": {},
+ "order": 9,
+ "mode": 0,
+ "inputs": [
+ {
+ "name": "model",
+ "type": "MODEL",
+ "link": 160
+ }
+ ],
+ "outputs": [
+ {
+ "name": "SIGMAS",
+ "type": "SIGMAS",
+ "links": [
+ 90
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
+ "Node name for S&R": "BasicScheduler"
+ },
+ "widgets_values": [
+ "simple",
+ 8,
+ 1
+ ]
+ },
+ {
+ "id": 123,
+ "type": "UnetLoaderGGUFDisTorchMultiGPU",
+ "pos": [
+ 2600.939453125,
+ -143.72315979003906
+ ],
+ "size": [
+ 327.8580017089844,
+ 154
+ ],
+ "flags": {},
+ "order": 5,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [
+ {
+ "name": "MODEL",
+ "type": "MODEL",
+ "links": [
+ 159,
+ 160
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "comfyui-multigpu",
+ "ver": "0d6dfc7524472943ba912a6ec3088757edba15c3",
+ "Node name for S&R": "UnetLoaderGGUFDisTorchMultiGPU"
+ },
+ "widgets_values": [
+ "fast-hunyuan-video-t2v-720p-Q4_K_M.gguf",
+ "cuda:0",
+ 4,
+ true,
+ ""
+ ],
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
+ },
+ {
+ "id": 122,
+ "type": "MarkdownNote",
+ "pos": [
+ 1895.963134765625,
+ -237.00189208984375
+ ],
+ "size": [
+ 648.826904296875,
+ 649.345947265625
+ ],
+ "flags": {},
+ "order": 6,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [],
+ "title": "ComfyUI-MultiGPU Note - THIS WORKFLOW IS DEPRECATED. USE DISTORCH2 NODES",
+ "properties": {},
+ "widgets_values": [
+ "###THIS WORKFLOW IS DEPRECATED. USE DISTORCH2 NODES\n\nA DisTorch Hunyuan Video workflow with GGUF UNet DisTorch to test Hunyuan Video integration. In this case we are using the DisTorch2 node to statically allocate approximately half of the main UNet model to the cpu.\n\n## Custom Node\n- [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF)\n- [ComfyUI-MultiGPU](https://github.com/pollockjj/ComfyUI-MultiGPU)\n```\nš ComfyUI/\nāāā š custom_nodes/\nā āāā š ComfyUI-GGUF/\nā āāā š ComfyUI-MultiGPU/\n```\n## Model links\n\n**Diffusion model**\n- [fast-hunyuan-video-t2v-720p-Q4_K_M.gguf](https://huggingface.co/city96/FastHunyuan-gguf/resolve/main/fast-hunyuan-video-t2v-720p-Q4_K_M.gguf)\n\n**CLIP**\n- [llava-llama-3-8B-v1_1-Q4_K_M.gguf](https://huggingface.co/city96/llava-llama-3-8b-v1_1-imat-gguf/resolve/main/llava-llama-3-8B-v1_1-Q4_K_M.gguf)\n\n**VAE**\n- [hunyuan_video_vae_bf16.safetensors](https://huggingface.co/Kijai/HunyuanVideo_comfy/resolve/main/hunyuan_video_vae_bf16.safetensors)\n\nModel Storage Location\n\n```\nš ComfyUI/\nāāā š models/\nā āāā š clip/\nā ā āāā llava-llama-3-8B-v1_1-Q4_K_M.gguf\nā ā āāā clip_l.safetensors\nā āāā š unet/\nā ā āāā fast-hunyuan-video-t2v-720p-Q4_K_M.gguf [š©š©š©š©šŖšŖšŖšŖšŖšŖ]\nā āāā š vae/\nā ā āāā hunyuan_video_vae_bf16.safetensors\n```\n\n```\nš„ļø Device Mapping\nāāā š¢ cuda:0\nā āāā fast-hunyuan-video-t2v-720p-Q4_K_M.gguf [š©š©š©š©]\nāāā š£ cuda:1\nā āāā fast-hunyuan-video-t2v-720p-Q4_K_M.gguf [šŖšŖšŖšŖšŖšŖ]\nā āāā qwen_image_vae.safetensors\nāāā āļø cpu\n āāā llava-llama-3-8B-v1_1-Q4_K_M.gguf\n āāā clip_l.safetensors\n```"
+ ],
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
+ },
+ {
+ "id": 67,
+ "type": "CLIPTextEncode",
+ "pos": [
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+ -159.98072814941406
+ ],
+ "size": [
+ 462.5758972167969,
+ 155.9339599609375
+ ],
+ "flags": {},
+ "order": 7,
+ "mode": 0,
+ "inputs": [
+ {
+ "name": "clip",
+ "type": "CLIP",
+ "link": 156
+ }
+ ],
+ "outputs": [
+ {
+ "name": "CONDITIONING",
+ "type": "CONDITIONING",
+ "slot_index": 0,
+ "links": [
+ 83
+ ]
+ }
+ ],
+ "title": "CLIP Text Encode (Positive Prompt)",
+ "properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
+ "Node name for S&R": "CLIPTextEncode"
+ },
+ "widgets_values": [
+ "A neon blue-green frog with vibrant neon purple spots stares forward with its left eye moving subtly. The frog's skin is textured with small bumps, and its spots appear in irregular patterns across its head and face. The eye is round and black with a subtle shine. The head is slightly tilted to its left, and the body is barely visible. The background is a flat, solid deep blue color, extending beyond the frog in all directions. The overall lighting is bright and diffused, creating a soft appearance."
+ ],
+ "color": "#232",
+ "bgcolor": "#353"
+ },
+ {
+ "id": 70,
+ "type": "VHS_VideoCombine",
+ "pos": [
+ 3878.080810546875,
+ -565.3644409179688
+ ],
+ "size": [
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+ ],
+ "flags": {},
+ "order": 14,
+ "mode": 0,
+ "inputs": [
+ {
+ "name": "images",
+ "type": "IMAGE",
+ "link": 82
+ },
+ {
+ "name": "audio",
+ "shape": 7,
+ "type": "AUDIO",
+ "link": null
+ },
+ {
+ "name": "meta_batch",
+ "shape": 7,
+ "type": "VHS_BatchManager",
+ "link": null
+ },
+ {
+ "name": "vae",
+ "shape": 7,
+ "type": "VAE",
+ "link": null
+ }
+ ],
+ "outputs": [
+ {
+ "name": "Filenames",
+ "type": "VHS_FILENAMES",
+ "links": null
+ }
+ ],
+ "properties": {
+ "cnr_id": "comfyui-videohelpersuite",
+ "ver": "08e8df15db24da292d4b7f943c460dc2ab442b24",
+ "Node name for S&R": "VHS_VideoCombine"
+ },
+ "widgets_values": {
+ "frame_rate": 24,
+ "loop_count": 0,
+ "filename_prefix": "DisTorch",
+ "format": "video/h264-mp4",
+ "pix_fmt": "yuv420p",
+ "crf": 19,
+ "save_metadata": true,
+ "trim_to_audio": false,
+ "pingpong": false,
+ "save_output": true,
+ "videopreview": {
+ "hidden": false,
+ "paused": false,
+ "params": {
+ "filename": "DisTorch2_00003.mp4",
+ "subfolder": "",
+ "type": "output",
+ "format": "video/h264-mp4",
+ "frame_rate": 24,
+ "workflow": "DisTorch2_00003.png",
+ "fullpath": "/home/johnj/ComfyUI/output/DisTorch2_00003.mp4"
+ },
+ "muted": false
+ }
+ }
}
],
"links": [
@@ -725,52 +753,38 @@
"CLIP"
],
[
- 157,
- 121,
+ 159,
+ 123,
0,
73,
0,
"MODEL"
],
[
- 158,
- 121,
+ 160,
+ 123,
0,
66,
0,
"MODEL"
]
],
- "groups": [
- {
- "id": 1,
- "title": "GGUFDisTorchMultiGPU",
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- -121.6815185546875,
- 360.4816589355469,
- 537.903076171875
- ],
- "color": "#8AA",
- "font_size": 24,
- "flags": {}
- }
- ],
+ "groups": [],
"config": {},
"extra": {
"ds": {
- "scale": 1.167184107045179,
+ "scale": 0.8769226950001346,
"offset": [
- -2141.8625685908787,
- 473.0554876075415
+ -2364.1344798750674,
+ 831.4510265639095
]
},
+ "frontendVersion": "1.27.10",
"ue_links": [],
"VHS_latentpreview": false,
"VHS_latentpreviewrate": 0,
"VHS_MetadataImage": true,
- "VHS_KeepIntermediate": true,
- "frontendVersion": "1.24.4"
+ "VHS_KeepIntermediate": true
},
"version": 0.4
}
\ No newline at end of file
diff --git a/example_workflows/ltxvideo checkpointloadersimple distorch2.jpg b/example_workflows/ltxvideo checkpointloadersimple distorch2.jpg
new file mode 100755
index 0000000..2ca3ff7
Binary files /dev/null and b/example_workflows/ltxvideo checkpointloadersimple distorch2.jpg differ
diff --git a/example_workflows/distorch2/ltxv_text_to_video_MultiGPU.json b/example_workflows/ltxvideo checkpointloadersimple distorch2.json
similarity index 53%
rename from example_workflows/distorch2/ltxv_text_to_video_MultiGPU.json
rename to example_workflows/ltxvideo checkpointloadersimple distorch2.json
index f572450..dd3781a 100755
--- a/example_workflows/distorch2/ltxv_text_to_video_MultiGPU.json
+++ b/example_workflows/ltxvideo checkpointloadersimple distorch2.json
@@ -1,49 +1,86 @@
{
- "id": "b0f0352b-75f9-4187-87f8-d352fe46227e",
+ "id": "2a11ea9c-4fb7-40c8-91e5-4da8cf6a3e2c",
"revision": 0,
- "last_node_id": 79,
- "last_link_id": 186,
+ "last_node_id": 98,
+ "last_link_id": 255,
"nodes": [
{
- "id": 8,
- "type": "VAEDecode",
+ "id": 71,
+ "type": "LTXVScheduler",
"pos": [
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- 30
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+ 290
],
"size": [
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- 46
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+ 154
],
"flags": {},
"order": 10,
"mode": 0,
"inputs": [
{
- "name": "samples",
+ "name": "latent",
+ "shape": 7,
"type": "LATENT",
- "link": 171
- },
- {
- "name": "vae",
- "type": "VAE",
- "link": 184
+ "link": 249
}
],
"outputs": [
{
- "name": "IMAGE",
- "type": "IMAGE",
+ "name": "SIGMAS",
+ "type": "SIGMAS",
"slot_index": 0,
"links": [
- 106
+ 182
]
}
],
"properties": {
- "Node name for S&R": "VAEDecode"
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
+ "Node name for S&R": "LTXVScheduler"
},
- "widgets_values": []
+ "widgets_values": [
+ 30,
+ 2.05,
+ 0.95,
+ true,
+ 0.1
+ ]
+ },
+ {
+ "id": 73,
+ "type": "KSamplerSelect",
+ "pos": [
+ 880,
+ 190
+ ],
+ "size": [
+ 315,
+ 58
+ ],
+ "flags": {},
+ "order": 0,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [
+ {
+ "name": "SAMPLER",
+ "type": "SAMPLER",
+ "links": [
+ 172
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
+ "Node name for S&R": "KSamplerSelect"
+ },
+ "widgets_values": [
+ "euler"
+ ]
},
{
"id": 69,
@@ -57,18 +94,18 @@
78
],
"flags": {},
- "order": 8,
+ "order": 9,
"mode": 0,
"inputs": [
{
"name": "positive",
"type": "CONDITIONING",
- "link": 169
+ "link": 245
},
{
"name": "negative",
"type": "CONDITIONING",
- "link": 170
+ "link": 246
}
],
"outputs": [
@@ -77,7 +114,7 @@
"type": "CONDITIONING",
"slot_index": 0,
"links": [
- 166
+ 199
]
},
{
@@ -90,12 +127,54 @@
}
],
"properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
"Node name for S&R": "LTXVConditioning"
},
"widgets_values": [
25
]
},
+ {
+ "id": 82,
+ "type": "LTXVPreprocess",
+ "pos": [
+ 570,
+ 670
+ ],
+ "size": [
+ 275.9266662597656,
+ 58
+ ],
+ "flags": {},
+ "order": 7,
+ "mode": 0,
+ "inputs": [
+ {
+ "name": "image",
+ "type": "IMAGE",
+ "link": 226
+ }
+ ],
+ "outputs": [
+ {
+ "name": "output_image",
+ "type": "IMAGE",
+ "slot_index": 0,
+ "links": [
+ 248
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
+ "Node name for S&R": "LTXVPreprocess"
+ },
+ "widgets_values": [
+ 40
+ ]
+ },
{
"id": 72,
"type": "SamplerCustom",
@@ -108,18 +187,18 @@
442
],
"flags": {},
- "order": 9,
+ "order": 11,
"mode": 0,
"inputs": [
{
"name": "model",
"type": "MODEL",
- "link": 183
+ "link": 251
},
{
"name": "positive",
"type": "CONDITIONING",
- "link": 166
+ "link": 199
},
{
"name": "negative",
@@ -139,7 +218,7 @@
{
"name": "latent_image",
"type": "LATENT",
- "link": 175
+ "link": 247
}
],
"outputs": [
@@ -148,7 +227,7 @@
"type": "LATENT",
"slot_index": 0,
"links": [
- 171
+ 235
]
},
{
@@ -158,320 +237,114 @@
}
],
"properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
"Node name for S&R": "SamplerCustom"
},
"widgets_values": [
true,
- 1032748596967060,
+ 871180669305010,
"randomize",
3
]
},
{
- "id": 70,
- "type": "EmptyLTXVLatentVideo",
+ "id": 95,
+ "type": "LTXVImgToVideo",
"pos": [
- 860,
- 240
+ 888.8251342773438,
+ 608.7010498046875
],
"size": [
315,
- 130
+ 214
],
"flags": {},
- "order": 0,
+ "order": 8,
"mode": 0,
- "inputs": [],
+ "inputs": [
+ {
+ "name": "positive",
+ "type": "CONDITIONING",
+ "link": 239
+ },
+ {
+ "name": "negative",
+ "type": "CONDITIONING",
+ "link": 240
+ },
+ {
+ "name": "vae",
+ "type": "VAE",
+ "link": 252
+ },
+ {
+ "name": "image",
+ "type": "IMAGE",
+ "link": 248
+ }
+ ],
"outputs": [
{
- "name": "LATENT",
- "type": "LATENT",
+ "name": "positive",
+ "type": "CONDITIONING",
"slot_index": 0,
"links": [
- 168,
- 175
+ 245
+ ]
+ },
+ {
+ "name": "negative",
+ "type": "CONDITIONING",
+ "slot_index": 1,
+ "links": [
+ 246
+ ]
+ },
+ {
+ "name": "latent",
+ "type": "LATENT",
+ "slot_index": 2,
+ "links": [
+ 247,
+ 249
]
}
],
"properties": {
- "Node name for S&R": "EmptyLTXVLatentVideo"
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
+ "Node name for S&R": "LTXVImgToVideo"
},
"widgets_values": [
- 768,
512,
+ 768,
97,
+ 1,
1
]
},
{
- "id": 71,
- "type": "LTXVScheduler",
+ "id": 96,
+ "type": "CheckpointLoaderSimpleDisTorch2MultiGPU",
"pos": [
- 856,
- 531
+ 443.546875,
+ -209.70184326171875
],
"size": [
- 315,
- 154
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- "flags": {},
- "order": 5,
- "mode": 0,
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- "shape": 7,
- "type": "LATENT",
- "link": 168
- }
- ],
- "outputs": [
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- "name": "SIGMAS",
- "type": "SIGMAS",
- "slot_index": 0,
- "links": [
- 182
- ]
- }
- ],
- "properties": {
- "Node name for S&R": "LTXVScheduler"
- },
- "widgets_values": [
- 30,
- 2.05,
- 0.95,
- true,
- 0.1
- ]
- },
- {
- "id": 7,
- "type": "CLIPTextEncode",
- "pos": [
- 420,
- 390
- ],
- "size": [
- 425.27801513671875,
- 180.6060791015625
- ],
- "flags": {},
- "order": 7,
- "mode": 0,
- "inputs": [
- {
- "name": "clip",
- "type": "CLIP",
- "link": 186
- }
- ],
- "outputs": [
- {
- "name": "CONDITIONING",
- "type": "CONDITIONING",
- "slot_index": 0,
- "links": [
- 170
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- }
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- "color": "#322",
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{
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"name": "VAE",
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]
}
],
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},
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],
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+ "Node name for S&R": "CLIPTextEncode"
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+ "widgets_values": [
+ "The sun, having just dipped below the horizon, casts a deep twilight blue across the urban canyon. The air is thick with the hush of the approaching night, punctuated only by the distant hum of the city. A gentle drizzle has just passed, leaving the asphalt slick and reflective, mirroring the neon glow from the towering buildings.\n\nIn the foreground, the street stretches out, a dark ribbon reflecting the faint reds and purples of brake lights and storefronts. Small puddles shimmer, disturbed only by the occasional ripple from a lingering raindrop or the almost imperceptible air current.\n\nAs the 3 seconds pass, a barely noticeable shift occurs. The light in the sky ever so subtly deepens, transitioning from a soft, almost ethereal blue to a richer, more profound indigo. The neon signs, which were already bright, seem to gain a fractional intensity, their colors bleeding slightly more vividly onto the wet pavement below. The faint glint on the parked cars, particularly the red one, catches the ambient light just a touch more, highlighting the curves of its wet surface.\n\nIt's a moment of serene transition, a quiet breath as the city fully embraces the night, its artificial lights beginning their nightly dominance against the fading natural world."
+ ],
+ "color": "#232",
+ "bgcolor": "#353"
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+ "flags": {},
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+ "title": "ComfyUI-MultiGPU Note - CheckpointLoaderSimpleDisTorch2",
+ "properties": {},
+ "widgets_values": [
+ "An LTXVideo workflow using a simple UNet DisTorch to test the CheckpointLoaderSimpleDisTorch2 node. In this case we are using the DisTorch2 node to statically allocate 100% of the main UNet model on to the second video card, `cuda:1`.\n\n## Custom Node\n- [ComfyUI-MultiGPU](https://github.com/pollockjj/ComfyUI-MultiGPU)\n```\nš ComfyUI/\nāāā š custom_nodes/\nā āāā š ComfyUI-MultiGPU/\n```\n## Model links\n\n**Checkpoint**\n- [ltx-video-2b-v0.9.5.safetensors](https://huggingface.co/Lightricks/LTX-Video/blob/main/ltx-video-2b-v0.9.5.safetensors)\n\n**CLIP**\n- [t5xxl_fp16.safetensors](https://huggingface.co/Comfy-Org/mochi_preview_repackaged/blob/main/split_files/text_encoders/t5xxl_fp16.safetensors)\n\nModel Storage Location\n\n```\nš ComfyUI/\nāāā š models/\nā āāā š checkpoints/\nā ā āāā ltx-video-2b-v0.9.5.safetensors[šŖšŖšŖšŖšŖšŖšŖšŖšŖšŖ]\nā āāā š clip/\nā ā āāā t5xxl_fp16.safetensors\n```\n\n```\nš„ļø Device Mapping\nāāā š¢ cuda:0\nā āāā ltx-video-2b-v0.9.5.safetensors[]\nāāā š£ cuda:1\nā āāā ltx-video-2b-v0.9.5.safetensors[šŖšŖšŖšŖšŖšŖšŖšŖšŖšŖ]\nāāā āļø cpu\n āāā t5xxl_fp16.safetensors\n```"
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+ "bgcolor": "rgba(24,24,27,.9)"
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],
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diff --git a/example_workflows/mochi checkpointloaderadvanced distorch2.jpg b/example_workflows/mochi checkpointloaderadvanced distorch2.jpg
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index 0000000..3cf9c23
Binary files /dev/null and b/example_workflows/mochi checkpointloaderadvanced distorch2.jpg differ
diff --git a/example_workflows/distorch2/default_advanced_DisTorch2.json b/example_workflows/mochi checkpointloaderadvanced distorch2.json
similarity index 53%
rename from example_workflows/distorch2/default_advanced_DisTorch2.json
rename to example_workflows/mochi checkpointloaderadvanced distorch2.json
index 1993039..e5a9a8f 100755
--- a/example_workflows/distorch2/default_advanced_DisTorch2.json
+++ b/example_workflows/mochi checkpointloaderadvanced distorch2.json
@@ -1,8 +1,8 @@
{
- "id": "d21a2457-c2bf-4733-b2e9-42352b1dd20d",
+ "id": "c76df118-f3eb-4efa-93d1-18626df4f016",
"revision": 0,
- "last_node_id": 11,
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@@ -16,13 +16,13 @@
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}
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"outputs": [
@@ -31,15 +31,17 @@
"type": "CONDITIONING",
"slot_index": 0,
"links": [
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+ 52
]
}
],
"properties": {
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"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": [
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]
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{
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],
"size": [
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"flags": {},
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"inputs": [
{
"name": "model",
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},
{
"name": "positive",
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},
{
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},
{
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"type": "LATENT",
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}
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@@ -84,124 +86,22 @@
"type": "LATENT",
"slot_index": 0,
"links": [
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+ 35
]
}
],
"properties": {
+ "cnr_id": "comfy-core",
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},
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@@ -232,23 +132,105 @@
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}
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"properties": {
+ "cnr_id": "comfy-core",
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},
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+ "A neon blue-green frog with vibrant neon purple spots stares forward with its left eye moving subtly. The frog's skin is textured with small bumps, and its spots appear in irregular patterns across its head and face. The eye is round and black with a subtle shine. The head is slightly tilted to its left, and the body is barely visible. The background is a flat, solid deep blue color, extending beyond the frog in all directions. The camera zooms in slowly on the frog's eye and the frog looks directly at the viewer. The overall lighting is bright and diffused, creating a soft appearance."
]
},
{
- "id": 11,
+ "id": 21,
+ "type": "EmptyMochiLatentVideo",
+ "pos": [
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+ "type": "LATENT",
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+ "links": [
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+ ]
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+ "flags": {},
+ "order": 6,
+ "mode": 0,
+ "inputs": [
+ {
+ "name": "samples",
+ "type": "LATENT",
+ "link": 35
+ },
+ {
+ "name": "vae",
+ "type": "VAE",
+ "link": 85
+ }
+ ],
+ "outputs": [
+ {
+ "name": "IMAGE",
+ "type": "IMAGE",
+ "slot_index": 0,
+ "links": [
+ 56
+ ]
+ }
+ ],
+ "properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
+ "Node name for S&R": "VAEDecode"
+ },
+ "widgets_values": []
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"type": "CheckpointLoaderAdvancedDisTorch2MultiGPU",
"pos": [
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+ -1.363607406616211,
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],
"size": [
397.9400329589844,
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"name": "MODEL",
"type": "MODEL",
"links": [
- 14
+ 86
]
},
{
"name": "CLIP",
"type": "CLIP",
"links": [
- 15,
- 16
+ 84,
+ 87
]
},
{
"name": "VAE",
"type": "VAE",
"links": [
- 17
+ 85
]
}
],
"properties": {
+ "cnr_id": "comfyui-multigpu",
+ "ver": "0d6dfc7524472943ba912a6ec3088757edba15c3",
"Node name for S&R": "CheckpointLoaderAdvancedDisTorch2MultiGPU"
},
"widgets_values": [
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+ "mochi_preview_fp8_scaled.safetensors",
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+ 5,
"cpu",
"cuda:1",
2,
@@ -298,21 +282,88 @@
"",
true
],
- "color": "#233",
- "bgcolor": "#355"
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
+ },
+ {
+ "id": 41,
+ "type": "MarkdownNote",
+ "pos": [
+ -570.2321166992188,
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+ ],
+ "size": [
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+ ],
+ "flags": {},
+ "order": 2,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [],
+ "title": "ComfyUI-MultiGPU - CheckpointLoaderAdvancedDisTorch2MultiGPU",
+ "properties": {},
+ "widgets_values": [
+ "A mochi all-in-one checkpoint to test ComfyUI-MultiGPU CheckpointLoaderAdvancedDisTorch2 functionality. In this case we are offloading 45% of the UNet, 55% of the CLIP, and assigning the VAE device independently\n## Custom Node\n\n- [ComfyUI-MultiGPU](https://github.com/pollockjj/ComfyUI-MultiGPU)\n```\nš ComfyUI/\nāāā š custom_nodes/\nā āāā š ComfyUI-MultiGPU/\n```\n## Model links\n\n**checkpoints**\n\n - [mochi_preview_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/mochi_preview_repackaged/blob/main/all_in_one/mochi_preview_fp8_scaled.safetensors) \n\n```\nš ComfyUI/\nāā š models/\nā āā š checkpoints/\nā ā āāā mochi_preview_fp8_scaled.safetensors [š©š©š©šŖšŖāļøāļøāļøāļøāļø]\n```\n## Device Mapping (Example: Two GPUs, 1 CPU)\n```\nš„ļø system \nāāā š¢ cuda:0\nā āāā mochi_preview_fp8_scaled.safetensors - UNet [ š©š©š©]\nāāā š£ cuda:1\nā āāā mochi_preview_fp8_scaled.safetensors - CLIP [šŖšŖ]\nā āāā mochi_preview_fp8_scaled.safetensors - VAE\nāāā āļø cpu\n āāā mochi_preview_fp8_scaled.safetensors - UNET [āļøāļøāļø]\n āāā mochi_preview_fp8_scaled.safetensors - CLIP [āļøāļø]\n```"
+ ],
+ "color": "#008181",
+ "bgcolor": "rgba(24,24,27,.9)"
+ },
+ {
+ "id": 28,
+ "type": "SaveAnimatedWEBP",
+ "pos": [
+ 1216.383056640625,
+ 160.4508056640625
+ ],
+ "size": [
+ 847.3048706054688,
+ 625.6065673828125
+ ],
+ "flags": {},
+ "order": 7,
+ "mode": 0,
+ "inputs": [
+ {
+ "name": "images",
+ "type": "IMAGE",
+ "link": 56
+ }
+ ],
+ "outputs": [],
+ "properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
+ "Node name for S&R": "SaveAnimatedWEBP"
+ },
+ "widgets_values": [
+ "MultiGPU",
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}
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[
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"CONDITIONING"
],
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"CONDITIONING"
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diff --git a/example_workflows/multiGPU/sd15_2gpu_advanced.json b/example_workflows/multiGPU/sd15_2gpu_advanced.json
deleted file mode 100755
index a3727f8..0000000
--- a/example_workflows/multiGPU/sd15_2gpu_advanced.json
+++ /dev/null
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-{
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deleted file mode 100644
index 6f357af..0000000
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diff --git a/example_workflows/qwen_image unet clip distorch2.json b/example_workflows/qwen_image unet clip distorch2.json
new file mode 100755
index 0000000..83189a8
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+ "A DisTorch2 QWEN Image workflow with UNet and CLIP DisTorch2. In this case we are using the DisTorch2 node to statically allocate approximately 70% of the UNet model (14.0G) to the cpu and 50% of the CLIP model (3.9G) to cpu. With `eject_models` being `True`, all other models on the `compute` card (`cuda:0`) will be unloaded, regardless of size, ensuring a clean compute card prior to inference.\n\n## Custom Node\n- [ComfyUI-MultiGPU](https://github.com/pollockjj/ComfyUI-MultiGPU)\n```\nš ComfyUI/\nāāā š custom_nodes/\nā āāā š ComfyUI-MultiGPU/\n```\n## Model links\n\n**Diffusion model**\n- [qwen_image_fp8_e4m3fn.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/blob/main/split_files/diffusion_models/qwen_image_fp8_e4m3fn.safetensors)\n\n**CLIP**\n- [qwen_2.5_vl_7b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/blob/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors)\n\n**VAE**\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/blob/main/split_files/vae/qwen_image_vae.safetensors)\n\nModel Storage Location\n\n```\nš ComfyUI/\nāāā š models/\nā āāā š clip/\nā ā āāā qwen_2.5_vl_7b_fp8_scaled.safetensors [šŖšŖšŖšŖšŖāļøāļøāļøāļøāļø]\nā āāā š unet/\nā ā āāā qwen_image_fp8_e4m3fn.safetensors [š©š©š©āļøāļøāļøāļøāļøāļøāļø]\nā āāā š vae/\nā ā āāā qwen_image_vae.safetensors \n```\n## Device Mapping (Example: Two GPUs, 1 CPU)\n```\nš„ļø system \nāāā š¢ cuda:0\nā āāā qwen_image_fp8_e4m3fn.safetensors [š©š©š©]\nāāā š£ cuda:1\nā āāā qwen_2.5_vl_7b_fp8_scaled.safetensors[šŖšŖšŖšŖšŖ]\nā āāā qwen_image_vae.safetensors\nāāā āļø cpu\n āāā qwen_image_fp8_e4m3fn.safetensors [āļøāļøāļøāļøāļøāļøāļø]\n āāā qwen_2.5_vl_7b_fp8_scaled.safetensors [āļøāļøāļøāļøāļø]\n```"
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diff --git a/example_workflows/qwen_image_edit_2509 unet clip distorch2.jpg b/example_workflows/qwen_image_edit_2509 unet clip distorch2.jpg
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index 0000000..2937683
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diff --git a/example_workflows/qwen_image_edit_2509 unet clip distorch2.json b/example_workflows/qwen_image_edit_2509 unet clip distorch2.json
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index 0000000..7ab2346
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+ "A DisTorch2 QWEN Image Edit 2509 workflow with UNet and CLIP DisTorch2. In this case we are using the DisTorch2 node to statically allocate approximately 70% of the UNet model (14.0G) to the cpu and 50% of the CLIP model (3.9G) to cpu. With `eject_models` being `True`, all other models on the `compute` card (`cuda:0`) will be unloaded, regardless of size, ensuring a clean compute card prior to inference.\n\n## Custom Node\n- [ComfyUI-MultiGPU](https://github.com/pollockjj/ComfyUI-MultiGPU)\n```\nš ComfyUI/\nāāā š custom_nodes/\nā āāā š ComfyUI-MultiGPU/\n```\n## Model links\n\n**Diffusion model**\n- [qwen_image_edit_2509_fp8_e4m3fn.safetensors](https://huggingface.co/Comfy-Org/https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/blob/main/split_files/diffusion_models/qwen_image_edit_2509_fp8_e4m3fn.safetensors)\n\n**CLIP**\n- [qwen_2.5_vl_7b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/blob/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors)\n\n**VAE**\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/blob/main/split_files/vae/qwen_image_vae.safetensors)\n\nModel Storage Location\n\n```\nš ComfyUI/\nāāā š models/\nā āāā š clip/\nā ā āāā qwen_2.5_vl_7b_fp8_scaled.safetensors [šŖšŖšŖšŖšŖāļøāļøāļøāļøāļø]\nā āāā š unet/\nā ā āāā qwen_image_edit_2509_fp8_e4m3fn.safetensors [š©š©š©āļøāļøāļøāļøāļøāļøāļø]\nā āāā š vae/\nā ā āāā qwen_image_vae.safetensors \n```\n## Device Mapping (Example: Two GPUs, 1 CPU)\n```\nš„ļø system \nāāā š¢ cuda:0\nā āāā qwen_image_edit_2509_fp8_e4m3fn.safetensors [š©š©š©]\nāāā š£ cuda:1\nā āāā qwen_2.5_vl_7b_fp8_scaled.safetensors[šŖšŖšŖšŖšŖ]\nā āāā qwen_image_vae.safetensors\nāāā āļø cpu\n āāā qwen_image_edit_2509_fp8_e4m3fn.safetensors [āļøāļøāļøāļøāļøāļøāļø]\n āāā qwen_2.5_vl_7b_fp8_scaled.safetensors [āļøāļøāļøāļøāļø]\n```"
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rename from example_workflows/distorch2/default_simple_DisTorch2.json
rename to example_workflows/sd15 checkpoint loader simple.json
index 03ca19f..5006e48 100755
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new file mode 100755
index 0000000..0d61b5e
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+ "properties": {},
+ "widgets_values": [
+ "A mature SDXL Checkpoint to test ComfyUI-MultiGPU CheckpointLoaderAdvanced functionality. In this case we are changing the UNet, CLIP, and VAE devices independentlly\n## Custom Node\n\n- [ComfyUI-MultiGPU](https://github.com/pollockjj/ComfyUI-MultiGPU)\n```\nš ComfyUI/\nāāā š custom_nodes/\nā āāā š ComfyUI-MultiGPU/\n```\n## Model links\n\n**checkpoints**\n\n - [Juggernaut-XL_v9_RunDiffusionPhoto_v2.safetensors](https://huggingface.co/RunDiffusion/Juggernaut-XL-v9/resolve/main/Juggernaut-XL_v9_RunDiffusionPhoto_v2.safetensors) \n\n```\nš ComfyUI/\nāā š models/\nā āā š checkpoints/\nā ā āāā Juggernaut-XL_v9_RunDiffusionPhoto_v2.safetensors\n```\n## Device Mapping (Example: Two GPUs, 1 CPU)\n```\nš„ļø system \nāāā š¢ cuda:0\nā āāā Juggernaut-XL_v9_RunDiffusionPhoto_v2 - UNet\nāāā š£ cuda:1\nā āāā Juggernaut-XL_v9_RunDiffusionPhoto_v2 - VAE\nāāā āļø cpu\n āāā Juggernaut-XL_v9_RunDiffusionPhoto_v2 - CLIP\n```"
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diff --git a/example_workflows/wan2_2 distorch2 double_unet no_cpu.jpg b/example_workflows/wan2_2 distorch2 double_unet no_cpu.jpg
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diff --git a/example_workflows/distorch2/wan2_2_DisTorch2.json b/example_workflows/wan2_2 distorch2 double_unet no_cpu.json
similarity index 68%
rename from example_workflows/distorch2/wan2_2_DisTorch2.json
rename to example_workflows/wan2_2 distorch2 double_unet no_cpu.json
index 64d29e2..474627c 100755
--- a/example_workflows/distorch2/wan2_2_DisTorch2.json
+++ b/example_workflows/wan2_2 distorch2 double_unet no_cpu.json
@@ -1,8 +1,8 @@
{
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"nodes": [
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"id": 58,
@@ -16,7 +16,7 @@
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"inputs": [
{
@@ -50,6 +50,8 @@
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"properties": {
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"widgets_values": [
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"inputs": [
{
@@ -206,6 +145,8 @@
],
"title": "CLIP Text Encode (Negative Prompt)",
"properties": {
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"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": [
@@ -239,6 +180,8 @@
}
],
"properties": {
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{
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}
],
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},
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@@ -309,6 +254,46 @@
"enable"
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},
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{
"id": 67,
"type": "VAELoaderMultiGPU",
@@ -334,97 +319,23 @@
}
],
"properties": {
+ "cnr_id": "comfyui-multigpu",
+ "ver": "0d6dfc7524472943ba912a6ec3088757edba15c3",
"Node name for S&R": "VAELoaderMultiGPU"
},
"widgets_values": [
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+ "color": "#008181",
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},
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"pos": [
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],
"size": [
383.4211730957031,
@@ -445,15 +356,17 @@
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],
"properties": {
+ "cnr_id": "comfyui-multigpu",
+ "ver": "0d6dfc7524472943ba912a6ec3088757edba15c3",
"Node name for S&R": "CLIPLoaderMultiGPU"
},
"widgets_values": [
"umt5_xxl_fp8_e4m3fn_scaled.safetensors",
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],
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},
{
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],
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{
@@ -489,14 +402,85 @@
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"title": "CLIP Text Encode (Positive Prompt)",
"properties": {
+ "cnr_id": "comfy-core",
+ "ver": "0.3.64",
"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": [
- "A towering technological monolith in a cyberpunk cityscape at night, with \"DisTorch 2\" emblazoned across its surface in massive neon blue-green mixed with purple letters that illuminate the surrounding buildings. The text occupies the central third of the frame, crafted from glowing plasma tubes and crackling energy. The model file suffix \"now with .safetensors!\" in same stying but smaller font directly underneath. Rain-slicked streets below reflect the brilliant signage, while holographic advertisements and flying vehicles populate the background. Moody atmospheric lighting, heavy contrast, photorealistic textures, cinematic color grading. "
+ "A towering technological monolith in a cyberpunk cityscape at night, with \"Wan 2.2 DisTorch 2\" emblazoned across its surface in massive neon blue-green mixed with purple letters that illuminate the surrounding buildings. The text occupies the center of the frame, crafted from glowing plasma tubes and crackling energy. Rain-slicked streets below reflect the brilliant signage, while holographic advertisements and flying vehicles populate the background. Moody atmospheric lighting, heavy contrast, photorealistic textures, cinematic color grading. "
],
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{
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"type": "UNETLoaderDisTorch2MultiGPU",
@@ -506,7 +490,7 @@
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@@ -517,34 +501,37 @@
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}
],
"properties": {
+ "cnr_id": "comfyui-multigpu",
+ "ver": "0d6dfc7524472943ba912a6ec3088757edba15c3",
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},
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{
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+ "cnr_id": "comfyui-multigpu",
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+ "properties": {},
+ "widgets_values": [
+ "A DisTorch2 Wan 2.2 workflow where we ignore CPU offloading completely and load both UNets placing blocks on the CPU and CLIP DisTorch2. In this case we are using the DisTorch2 node to statically allocate approximately 70% of the UNet model (13.3G) to the cpu. With `eject_models` being `True`, all other models on the `compute` card (`cuda:0`) will be unloaded, regardless of size, ensuring a clean compute card prior to inference.\n\n## Custom Node\n- [ComfyUI-MultiGPU](https://github.com/pollockjj/ComfyUI-MultiGPU)\n```\nš ComfyUI/\nāāā š custom_nodes/\nā āāā š ComfyUI-MultiGPU/\n```\n## Model links\n\n**Diffusion model**\n- [wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/blob/main/split_files/diffusion_models/wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors)\n- [wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/blob/main/split_files/diffusion_models/wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors)\n\n**CLIP**\n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors)\n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/blob/main/split_files/vae/wan_2.1_vae.safetensors)\n\nModel Storage Location\n\n```\nš ComfyUI/\nāāā š models/\nā āāā š clip/\nā ā āāā umt5_xxl_fp8_e4m3fn_scaled.safetensors\nā āāā š unet/\nā ā āāā wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors [š©š©š©šŖšŖšŖšŖšŖšŖšŖ]\nā ā āāā wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors [š©š©š©šŖšŖšŖšŖšŖšŖšŖ]\nā āāā š vae/\nā ā āāā qwen_image_vae.safetensors \n```\n## Device Mapping (Example: Two GPUs, 1 CPU)\n```\nš„ļø system \nāāā š¢ cuda:0\nā āāā wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors [š©š©š©]\nā āāā wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors [š©š©š©]\nāāā š£ cuda:1\nā āāā wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors [šŖšŖšŖšŖšŖšŖšŖ]\nā āāā wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors [šŖšŖšŖšŖšŖšŖšŖ]\nā āāā umt5_xxl_fp8_e4m3fn_scaled.safetensors\nā āāā wan_2.1_vae.safetensors\nāāā āļø cpu\n```"
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similarity index 58%
rename from example_workflows/distorch2/wan2_2_t2i_fusionX_lightx2v_loras.json
rename to example_workflows/wan2_2 t2i lightx2v lora distorch2.json
index 2852761..8689365 100755
--- a/example_workflows/distorch2/wan2_2_t2i_fusionX_lightx2v_loras.json
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@@ -1,80 +1,9 @@
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+ "A DisTorch2 Wan 2.2 workflow where we eschew our other `gpu`, offloading both UNets by placing blocks on the `cpu`. In this case we are using the DisTorch2 node to statically allocate approximately 70% of the UNet model (13.3G) to the `cpu`, along with a proportional amount of the LoRAs patched to the model. With `eject_models` being `True`, all other models on the `compute` card (`cuda:0`) will be unloaded, regardless of size, ensuring a clean compute card prior to inference.\n\n## Custom Node\n- [ComfyUI-MultiGPU](https://github.com/pollockjj/ComfyUI-MultiGPU)\n```\nš ComfyUI/\nāāā š custom_nodes/\nā āāā š ComfyUI-MultiGPU/\n```\n## Model links\n\n**Diffusion model**\n- [wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/blob/main/split_files/diffusion_models/wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors)\n- [wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/blob/main/split_files/diffusion_models/wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors)\n\n**CLIP**\n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors)\n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/blob/main/split_files/vae/wan_2.1_vae.safetensors)\n\n**LoRA**\n- [high_noise_model.safetensors](https://huggingface.co/lightx2v/Wan2.2-Lightning/resolve/main/Wan2.2-T2V-A14B-4steps-lora-rank64-Seko-V1.1/high_noise_model.safetensors)\n- [low_noise_model.safetensors](https://huggingface.co/lightx2v/Wan2.2-Lightning/resolve/main/Wan2.2-T2V-A14B-4steps-lora-rank64-Seko-V1.1/low_noise_model.safetensors)\n\n## Model Storage Location\n\n```\nš ComfyUI/\nāāā š models/\nā āāā š clip/\nā ā āāā umt5_xxl_fp8_e4m3fn_scaled.safetensors\nā āāā š unet/\nā ā āāā wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors [š©š©š©šŖšŖšŖšŖšŖšŖšŖ]\nā ā āāā wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors [š©š©š©šŖšŖšŖšŖšŖšŖšŖ]\nā āāāāš loras/\nā āāāāāāš Wan2.2-T2V-A14B-4steps-lora-rank64-Seko-V1.1/\nā ā āāāāāāā high_noise_model.safetensors [š©š©š©šŖšŖšŖšŖšŖšŖšŖ]\nā ā āāāāāāā low_noise_model.safetensors [š©š©š©šŖšŖšŖšŖšŖšŖšŖ]\nā āāā š vae/\nā ā āāā qwen_image_vae.safetensors \n```\n## Device Mapping (Example: Two GPUs, 1 CPU)\n```\nš„ļø system \nāāā š¢ cuda:0\nā āāā wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors [š©š©š©]\nā āāā wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors [š©š©š©]\nā āāā high_noise_model.safetensors [š©š©š©]\nā āāā low_noise_model.safetensors [š©š©š©]\nā āāā umt5_xxl_fp8_e4m3fn_scaled.safetensors\nā āāā wan_2.1_vae.safetensors\nāāā š£ cuda:1\nā āāā EMPTY\nāāā āļø cpu\n āāā wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors [šŖšŖšŖšŖšŖšŖšŖ]\n āāā wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors [šŖšŖšŖšŖšŖšŖšŖ]\n āāā high_noise_model.safetensors [šŖšŖšŖšŖšŖšŖšŖ]\n āāā low_noise_model.safetensors [šŖšŖšŖšŖšŖšŖšŖ]\n```"
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+ "A DisTorch2 Wan 2.2 workflow where we eschew our other `gpu`, offloading both UNets by placing blocks on the `cpu`. In this case we are using the DisTorch2 node to statically allocate approximately 70% of the UNet model (13.3G) to the `cpu`, along with a proportional amount of the LoRAs patched to the model. With `eject_models` being `True`, all other models on the `compute` card (`cuda:0`) will be unloaded, regardless of size, ensuring a clean compute card prior to inference.\n\n## Custom Node\n- [ComfyUI-MultiGPU](https://github.com/pollockjj/ComfyUI-MultiGPU)\n```\nš ComfyUI/\nāāā š custom_nodes/\nā āāā š ComfyUI-MultiGPU/\n```\n## Model links\n\n**Diffusion model**\n- [wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/blob/main/split_files/diffusion_models/wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors)\n- [wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/blob/main/split_files/diffusion_models/wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors)\n\n**CLIP**\n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors)\n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/blob/main/split_files/vae/wan_2.1_vae.safetensors)\n\n**LoRA**\n- [high_noise_model.safetensors](https://huggingface.co/lightx2v/Wan2.2-Lightning/resolve/main/Wan2.2-T2V-A14B-4steps-lora-rank64-Seko-V1.1/high_noise_model.safetensors)\n- [low_noise_model.safetensors](https://huggingface.co/lightx2v/Wan2.2-Lightning/resolve/main/Wan2.2-T2V-A14B-4steps-lora-rank64-Seko-V1.1/low_noise_model.safetensors)\n\n## Model Storage Location\n\n```\nš ComfyUI/\nāāā š models/\nā āāā š clip/\nā ā āāā umt5_xxl_fp8_e4m3fn_scaled.safetensors\nā āāā š unet/\nā ā āāā wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors [š©š©š©šŖšŖšŖšŖšŖšŖšŖ]\nā ā āāā wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors [š©š©š©šŖšŖšŖšŖšŖšŖšŖ]\nā āāāāš loras/\nā āāāāāāš Wan2.2-T2V-A14B-4steps-lora-rank64-Seko-V1.1/\nā ā āāāāāāā high_noise_model.safetensors [š©š©š©šŖšŖšŖšŖšŖšŖšŖ]\nā ā āāāāāāā low_noise_model.safetensors [š©š©š©šŖšŖšŖšŖšŖšŖšŖ]\nā āāā š vae/\nā ā āāā qwen_image_vae.safetensors \n```\n## Device Mapping (Example: Two GPUs, 1 CPU)\n```\nš„ļø system \nāāā š¢ cuda:0\nā āāā wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors [š©š©š©]\nā āāā wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors [š©š©š©]\nā āāā high_noise_model.safetensors [š©š©š©]\nā āāā low_noise_model.safetensors [š©š©š©]\nā āāā umt5_xxl_fp8_e4m3fn_scaled.safetensors\nā āāā wan_2.1_vae.safetensors\nāāā š£ cuda:1\nā āāā EMPTY\nāāā āļø cpu\n āāā wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors [šŖšŖšŖšŖšŖšŖšŖ]\n āāā wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors [šŖšŖšŖšŖšŖšŖšŖ]\n āāā high_noise_model.safetensors [šŖšŖšŖšŖšŖšŖšŖ]\n āāā low_noise_model.safetensors [šŖšŖšŖšŖšŖšŖšŖ]\n```"
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+ "color": "#008181",
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+ "flags": {},
+ "order": 4,
+ "mode": 0,
+ "inputs": [],
+ "outputs": [],
+ "title": "ComfyUI-MultiGPU Note - wan2_2 Double UNet DisTorch2",
+ "properties": {},
+ "widgets_values": [
+ "A DisTorch2 Wan 2.2 workflow where we ignore CPU offloading completely and load both UNets placing blocks on the CPU and CLIP DisTorch2. In this case we are using the DisTorch2 node to statically allocate approximately 70% of the UNet model (13.3G) to the cpu. With `eject_models` being `True`, all other models on the `compute` card (`cuda:0`) will be unloaded, regardless of size, ensuring a clean compute card prior to inference.\n\n## Custom Node\n- [ComfyUI-MultiGPU](https://github.com/pollockjj/ComfyUI-MultiGPU)\n```\nš ComfyUI/\nāāā š custom_nodes/\nā āāā š ComfyUI-MultiGPU/\n```\n## Model links\n\n**Diffusion model**\n- [wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/blob/main/split_files/diffusion_models/wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors)\n- [wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/blob/main/split_files/diffusion_models/wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors)\n\n**CLIP**\n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors)\n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/blob/main/split_files/vae/wan_2.1_vae.safetensors)\n\nModel Storage Location\n\n```\nš ComfyUI/\nāāā š models/\nā āāā š clip/\nā ā āāā umt5_xxl_fp8_e4m3fn_scaled.safetensors\nā āāā š unet/\nā ā āāā wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors [š©š©š©šŖšŖšŖšŖšŖšŖšŖ]\nā ā āāā wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors [š©š©š©šŖšŖšŖšŖšŖšŖšŖ]\nā āāā š vae/\nā ā āāā qwen_image_vae.safetensors \n```\n## Device Mapping (Example: Two GPUs, 1 CPU)\n```\nš„ļø system \nāāā š¢ cuda:0\nā āāā wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors [š©š©š©]\nā āāā wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors [š©š©š©]\nāāā š£ cuda:1\nā āāā wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors [šŖšŖšŖšŖšŖšŖšŖ]\nā āāā wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors [šŖšŖšŖšŖšŖšŖšŖ]\nā āāā umt5_xxl_fp8_e4m3fn_scaled.safetensors\nā āāā wan_2.1_vae.safetensors\nāāā āļø cpu\n```"
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diff --git a/nodes.py b/nodes.py
index 9c8afbd..4a75b78 100644
--- a/nodes.py
+++ b/nodes.py
@@ -176,12 +176,10 @@ class LTXVLoader:
return original_loader._load_vae(weights, config=None)
class Florence2ModelLoader:
+ @classmethod
def INPUT_TYPES(s):
- all_llm_paths = folder_paths.get_folder_paths("LLM")
- s.model_paths = create_path_dict(all_llm_paths, lambda x: x.is_dir())
-
return {"required": {
- "model": ([*s.model_paths], {"tooltip": "models are expected to be in Comfyui/models/LLM folder"}),
+ "model": ([item.name for item in Path(folder_paths.models_dir, "LLM").iterdir() if item.is_dir()], {"tooltip": "models are expected to be in Comfyui/models/LLM folder"}),
"precision": (['fp16','bf16','fp32'],),
"attention": (
[ 'flash_attention_2', 'sdpa', 'eager'],