fofr
/
wan-14b-cybercab
- Public
- 4 runs
-
H100
Prediction
fofr/wan-14b-cybercab:621a5ba2IDgpbzag0xfsrmc0cnha9b08jwhcStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- frames
- 81
- prompt
- a CYBERCAB drives away
- aspect_ratio
- 16:9
- sample_shift
- 8
- sample_steps
- 30
- negative_prompt
- lora_strength_clip
- 1
- sample_guide_scale
- 5
- lora_strength_model
- 1
{ "frames": 81, "prompt": "a CYBERCAB drives away", "aspect_ratio": "16:9", "sample_shift": 8, "sample_steps": 30, "negative_prompt": "", "lora_strength_clip": 1, "sample_guide_scale": 5, "lora_strength_model": 1 }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run fofr/wan-14b-cybercab using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/wan-14b-cybercab:621a5ba2fe78c961a421a1ad2f0cf4fc52c4764d612d53f5350f659a90a3e26c", { input: { frames: 81, prompt: "a CYBERCAB drives away", aspect_ratio: "16:9", sample_shift: 8, sample_steps: 30, negative_prompt: "", lora_strength_clip: 1, sample_guide_scale: 5, lora_strength_model: 1 } } ); console.log(output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateSet theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:import replicateRun fofr/wan-14b-cybercab using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/wan-14b-cybercab:621a5ba2fe78c961a421a1ad2f0cf4fc52c4764d612d53f5350f659a90a3e26c", input={ "frames": 81, "prompt": "a CYBERCAB drives away", "aspect_ratio": "16:9", "sample_shift": 8, "sample_steps": 30, "negative_prompt": "", "lora_strength_clip": 1, "sample_guide_scale": 5, "lora_strength_model": 1 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run fofr/wan-14b-cybercab using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "621a5ba2fe78c961a421a1ad2f0cf4fc52c4764d612d53f5350f659a90a3e26c", "input": { "frames": 81, "prompt": "a CYBERCAB drives away", "aspect_ratio": "16:9", "sample_shift": 8, "sample_steps": 30, "negative_prompt": "", "lora_strength_clip": 1, "sample_guide_scale": 5, "lora_strength_model": 1 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-03-12T13:39:58.966171Z", "created_at": "2025-03-12T13:36:26.494000Z", "data_removed": false, "error": null, "id": "gpbzag0xfsrmc0cnha9b08jwhc", "input": { "frames": 81, "prompt": "a CYBERCAB drives away", "aspect_ratio": "16:9", "sample_shift": 8, "sample_steps": 30, "negative_prompt": "", "lora_strength_clip": 1, "sample_guide_scale": 5, "lora_strength_model": 1 }, "logs": "Random seed set to: 2212045692\n2025-03-12T13:36:49Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp9tvl8mkd/weights url=https://replicate.delivery/xezq/k2ngzDaZe3wfokJs2TzppPMW7PRUefrf1ERjIfT6s4DeG85LKA/trained_model.tar\n2025-03-12T13:36:51Z | INFO | [ Complete ] dest=/tmp/tmp9tvl8mkd/weights size=\"307 MB\" total_elapsed=2.113s url=https://replicate.delivery/xezq/k2ngzDaZe3wfokJs2TzppPMW7PRUefrf1ERjIfT6s4DeG85LKA/trained_model.tar\nChecking inputs\n====================================\nChecking weights\n✅ 69f856c60fdecc69a618f11467900dd2.safetensors exists in loras directory\n✅ umt5_xxl_fp16.safetensors exists in ComfyUI/models/text_encoders\n✅ wan2.1_t2v_14B_bf16.safetensors exists in ComfyUI/models/diffusion_models\n✅ wan_2.1_vae.safetensors exists in ComfyUI/models/vae\n====================================\nRunning workflow\n[ComfyUI] got prompt\nExecuting node 39, title: Load VAE, class type: VAELoader\n[ComfyUI] Using pytorch attention in VAE\n[ComfyUI] Using pytorch attention in VAE\n[ComfyUI] VAE load device: cuda:0, offload device: cpu, dtype: torch.bfloat16\nExecuting node 40, title: EmptyHunyuanLatentVideo, class type: EmptyHunyuanLatentVideo\nExecuting node 38, title: Load CLIP, class type: CLIPLoader\n[ComfyUI] CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float16\n[ComfyUI] Requested to load WanTEModel\nExecuting node 7, title: CLIP Text Encode (Negative Prompt), class type: CLIPTextEncode\n[ComfyUI] loaded completely 141327.4875 10835.4765625 True\nExecuting node 37, title: Load Diffusion Model, class type: UNETLoader\n[ComfyUI] model weight dtype torch.float16, manual cast: None\n[ComfyUI] model_type FLOW\nExecuting node 53, title: WanVideo Enhance A Video (native), class type: WanVideoEnhanceAVideoKJ\nExecuting node 54, title: WanVideo Tea Cache (native), class type: WanVideoTeaCacheKJ\nExecuting node 49, title: Load LoRA, class type: LoraLoader\n[ComfyUI] Requested to load WanTEModel\nExecuting node 6, title: CLIP Text Encode (Positive Prompt), class type: CLIPTextEncode\n[ComfyUI] loaded completely 141069.4875 10835.4765625 True\nExecuting node 48, title: ModelSamplingSD3, class type: ModelSamplingSD3\nExecuting node 3, title: KSampler, class type: KSampler\n[ComfyUI] Requested to load WAN21\n[ComfyUI] loaded completely 124343.96281542968 27251.406372070312 True\n[ComfyUI]\n[ComfyUI] 0%| | 0/30 [00:00<?, ?it/s]\n[ComfyUI] 3%|▎ | 1/30 [00:07<03:42, 7.68s/it]\n[ComfyUI] 7%|▋ | 2/30 [00:17<04:03, 8.69s/it]\n[ComfyUI] 10%|█ | 3/30 [00:26<04:04, 9.07s/it]\n[ComfyUI] TeaCache: Initialized\n[ComfyUI]\n[ComfyUI] 13%|█▎ | 4/30 [00:38<04:27, 10.30s/it]\n[ComfyUI] 20%|██ | 6/30 [00:48<02:59, 7.47s/it]\n[ComfyUI] 27%|██▋ | 8/30 [00:58<02:21, 6.44s/it]\n[ComfyUI] 30%|███ | 9/30 [00:58<01:43, 4.95s/it]\n[ComfyUI] 33%|███▎ | 10/30 [01:08<02:03, 6.19s/it]\n[ComfyUI] 40%|████ | 12/30 [01:18<01:42, 5.67s/it]\n[ComfyUI] 47%|████▋ | 14/30 [01:28<01:26, 5.41s/it]\n[ComfyUI] 53%|█████▎ | 16/30 [01:38<01:13, 5.25s/it]\n[ComfyUI] 60%|██████ | 18/30 [01:48<01:01, 5.16s/it]\n[ComfyUI] 67%|██████▋ | 20/30 [01:58<00:50, 5.10s/it]\n[ComfyUI] 73%|███████▎ | 22/30 [02:08<00:40, 5.06s/it]\n[ComfyUI] 80%|████████ | 24/30 [02:18<00:30, 5.03s/it]\n[ComfyUI] 87%|████████▋ | 26/30 [02:28<00:20, 5.01s/it]\n[ComfyUI] 93%|█████████▎| 28/30 [02:38<00:09, 5.00s/it]\n[ComfyUI] 100%|██████████| 30/30 [02:48<00:00, 4.98s/it]\n[ComfyUI] 100%|██████████| 30/30 [02:48<00:00, 5.60s/it]\n[ComfyUI] Requested to load WanVAE\nExecuting node 8, title: VAE Decode, class type: VAEDecode\n[ComfyUI] loaded completely 98169.38668441772 242.02829551696777 True\nExecuting node 50, title: Video Combine 🎥🅥🅗🅢, class type: VHS_VideoCombine\n[ComfyUI] Prompt executed in 187.44 seconds\noutputs: {'50': {'gifs': [{'filename': 'R8_Wan_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4', 'frame_rate': 16.0, 'workflow': 'R8_Wan_00001.png', 'fullpath': '/tmp/outputs/R8_Wan_00001.mp4'}]}}\n====================================\nR8_Wan_00001.png\nR8_Wan_00001.mp4", "metrics": { "predict_time": 189.93773753, "total_time": 212.472171 }, "output": [ "https://replicate.delivery/xezq/4j4dASWSMH5WKx6XI9FRoV7Nbzovqz75Q5xaUtdnPfQXB6LKA/R8_Wan_00001.mp4" ], "started_at": "2025-03-12T13:36:49.028433Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-ok4i2empn7dzdnpkh3oggxflsn26hgtraxwzm2fft6ao2x4sr4ka", "get": "https://api.replicate.com/v1/predictions/gpbzag0xfsrmc0cnha9b08jwhc", "cancel": "https://api.replicate.com/v1/predictions/gpbzag0xfsrmc0cnha9b08jwhc/cancel" }, "version": "621a5ba2fe78c961a421a1ad2f0cf4fc52c4764d612d53f5350f659a90a3e26c" }Generated inRandom seed set to: 2212045692 2025-03-12T13:36:49Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp9tvl8mkd/weights url=https://replicate.delivery/xezq/k2ngzDaZe3wfokJs2TzppPMW7PRUefrf1ERjIfT6s4DeG85LKA/trained_model.tar 2025-03-12T13:36:51Z | INFO | [ Complete ] dest=/tmp/tmp9tvl8mkd/weights size="307 MB" total_elapsed=2.113s url=https://replicate.delivery/xezq/k2ngzDaZe3wfokJs2TzppPMW7PRUefrf1ERjIfT6s4DeG85LKA/trained_model.tar Checking inputs ==================================== Checking weights ✅ 69f856c60fdecc69a618f11467900dd2.safetensors exists in loras directory ✅ umt5_xxl_fp16.safetensors exists in ComfyUI/models/text_encoders ✅ wan2.1_t2v_14B_bf16.safetensors exists in ComfyUI/models/diffusion_models ✅ wan_2.1_vae.safetensors exists in ComfyUI/models/vae ==================================== Running workflow [ComfyUI] got prompt Executing node 39, title: Load VAE, class type: VAELoader [ComfyUI] Using pytorch attention in VAE [ComfyUI] Using pytorch attention in VAE [ComfyUI] VAE load device: cuda:0, offload device: cpu, dtype: torch.bfloat16 Executing node 40, title: EmptyHunyuanLatentVideo, class type: EmptyHunyuanLatentVideo Executing node 38, title: Load CLIP, class type: CLIPLoader [ComfyUI] CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float16 [ComfyUI] Requested to load WanTEModel Executing node 7, title: CLIP Text Encode (Negative Prompt), class type: CLIPTextEncode [ComfyUI] loaded completely 141327.4875 10835.4765625 True Executing node 37, title: Load Diffusion Model, class type: UNETLoader [ComfyUI] model weight dtype torch.float16, manual cast: None [ComfyUI] model_type FLOW Executing node 53, title: WanVideo Enhance A Video (native), class type: WanVideoEnhanceAVideoKJ Executing node 54, title: WanVideo Tea Cache (native), class type: WanVideoTeaCacheKJ Executing node 49, title: Load LoRA, class type: LoraLoader [ComfyUI] Requested to load WanTEModel Executing node 6, title: CLIP Text Encode (Positive Prompt), class type: CLIPTextEncode [ComfyUI] loaded completely 141069.4875 10835.4765625 True Executing node 48, title: ModelSamplingSD3, class type: ModelSamplingSD3 Executing node 3, title: KSampler, class type: KSampler [ComfyUI] Requested to load WAN21 [ComfyUI] loaded completely 124343.96281542968 27251.406372070312 True [ComfyUI] [ComfyUI] 0%| | 0/30 [00:00<?, ?it/s] [ComfyUI] 3%|▎ | 1/30 [00:07<03:42, 7.68s/it] [ComfyUI] 7%|▋ | 2/30 [00:17<04:03, 8.69s/it] [ComfyUI] 10%|█ | 3/30 [00:26<04:04, 9.07s/it] [ComfyUI] TeaCache: Initialized [ComfyUI] [ComfyUI] 13%|█▎ | 4/30 [00:38<04:27, 10.30s/it] [ComfyUI] 20%|██ | 6/30 [00:48<02:59, 7.47s/it] [ComfyUI] 27%|██▋ | 8/30 [00:58<02:21, 6.44s/it] [ComfyUI] 30%|███ | 9/30 [00:58<01:43, 4.95s/it] [ComfyUI] 33%|███▎ | 10/30 [01:08<02:03, 6.19s/it] [ComfyUI] 40%|████ | 12/30 [01:18<01:42, 5.67s/it] [ComfyUI] 47%|████▋ | 14/30 [01:28<01:26, 5.41s/it] [ComfyUI] 53%|█████▎ | 16/30 [01:38<01:13, 5.25s/it] [ComfyUI] 60%|██████ | 18/30 [01:48<01:01, 5.16s/it] [ComfyUI] 67%|██████▋ | 20/30 [01:58<00:50, 5.10s/it] [ComfyUI] 73%|███████▎ | 22/30 [02:08<00:40, 5.06s/it] [ComfyUI] 80%|████████ | 24/30 [02:18<00:30, 5.03s/it] [ComfyUI] 87%|████████▋ | 26/30 [02:28<00:20, 5.01s/it] [ComfyUI] 93%|█████████▎| 28/30 [02:38<00:09, 5.00s/it] [ComfyUI] 100%|██████████| 30/30 [02:48<00:00, 4.98s/it] [ComfyUI] 100%|██████████| 30/30 [02:48<00:00, 5.60s/it] [ComfyUI] Requested to load WanVAE Executing node 8, title: VAE Decode, class type: VAEDecode [ComfyUI] loaded completely 98169.38668441772 242.02829551696777 True Executing node 50, title: Video Combine 🎥🅥🅗🅢, class type: VHS_VideoCombine [ComfyUI] Prompt executed in 187.44 seconds outputs: {'50': {'gifs': [{'filename': 'R8_Wan_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4', 'frame_rate': 16.0, 'workflow': 'R8_Wan_00001.png', 'fullpath': '/tmp/outputs/R8_Wan_00001.mp4'}]}} ==================================== R8_Wan_00001.png R8_Wan_00001.mp4
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