fofr / wan-14b-cyberpunk-realistic
Wan2.1 fine tuned on hyper realistic Cyberpunk 2077 mods
- Public
- 65 runs
-
H100
Prediction
fofr/wan-14b-cyberpunk-realistic:8d934a800aee769933dd3f54c9348ac92d28c588065389ce7a526c77150069b5ID5hpne6xf15rme0cnqw2933vxr0StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- image
- frames
- 81
- prompt
- in the style of CYB77, driving a car very fast through a city at night
- fast_mode
- Off
- resolution
- 480p
- aspect_ratio
- 16:9
- sample_shift
- 8
- sample_steps
- 50
- negative_prompt
- lora_strength_clip
- 1
- sample_guide_scale
- 5
- lora_strength_model
- 1
{ "image": "https://replicate.delivery/xezq/cPbpoOia6exgEq9sTwWMn9HsytppiVjq3cYrfYfzErlfqqsRB/tmpr4czcw2e.png", "frames": 81, "prompt": "in the style of CYB77, driving a car very fast through a city at night", "fast_mode": "Off", "resolution": "480p", "aspect_ratio": "16:9", "sample_shift": 8, "sample_steps": 50, "negative_prompt": "", "lora_strength_clip": 1, "sample_guide_scale": 5, "lora_strength_model": 1 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run fofr/wan-14b-cyberpunk-realistic 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-cyberpunk-realistic:8d934a800aee769933dd3f54c9348ac92d28c588065389ce7a526c77150069b5", { input: { image: "https://replicate.delivery/xezq/cPbpoOia6exgEq9sTwWMn9HsytppiVjq3cYrfYfzErlfqqsRB/tmpr4czcw2e.png", frames: 81, prompt: "in the style of CYB77, driving a car very fast through a city at night", fast_mode: "Off", resolution: "480p", aspect_ratio: "16:9", sample_shift: 8, sample_steps: 50, negative_prompt: "", lora_strength_clip: 1, sample_guide_scale: 5, lora_strength_model: 1 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun fofr/wan-14b-cyberpunk-realistic using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/wan-14b-cyberpunk-realistic:8d934a800aee769933dd3f54c9348ac92d28c588065389ce7a526c77150069b5", input={ "image": "https://replicate.delivery/xezq/cPbpoOia6exgEq9sTwWMn9HsytppiVjq3cYrfYfzErlfqqsRB/tmpr4czcw2e.png", "frames": 81, "prompt": "in the style of CYB77, driving a car very fast through a city at night", "fast_mode": "Off", "resolution": "480p", "aspect_ratio": "16:9", "sample_shift": 8, "sample_steps": 50, "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.
Run fofr/wan-14b-cyberpunk-realistic 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": "fofr/wan-14b-cyberpunk-realistic:8d934a800aee769933dd3f54c9348ac92d28c588065389ce7a526c77150069b5", "input": { "image": "https://replicate.delivery/xezq/cPbpoOia6exgEq9sTwWMn9HsytppiVjq3cYrfYfzErlfqqsRB/tmpr4czcw2e.png", "frames": 81, "prompt": "in the style of CYB77, driving a car very fast through a city at night", "fast_mode": "Off", "resolution": "480p", "aspect_ratio": "16:9", "sample_shift": 8, "sample_steps": 50, "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": "2025-03-22T18:10:33.973403Z", "created_at": "2025-03-22T18:01:50.089000Z", "data_removed": false, "error": null, "id": "5hpne6xf15rme0cnqw2933vxr0", "input": { "image": "https://replicate.delivery/xezq/cPbpoOia6exgEq9sTwWMn9HsytppiVjq3cYrfYfzErlfqqsRB/tmpr4czcw2e.png", "frames": 81, "prompt": "in the style of CYB77, driving a car very fast through a city at night", "fast_mode": "Off", "resolution": "480p", "aspect_ratio": "16:9", "sample_shift": 8, "sample_steps": 50, "negative_prompt": "", "lora_strength_clip": 1, "sample_guide_scale": 5, "lora_strength_model": 1 }, "logs": "Random seed set to: 1974571946\n✅ 14b_035cb393b31bb26f95fdf77699f31f97.safetensors already cached\nChecking inputs\n✅ /tmp/inputs/image.png\n====================================\nChecking weights\n✅ clip_vision_h.safetensors exists in ComfyUI/models/clip_vision\n✅ 14b_035cb393b31bb26f95fdf77699f31f97.safetensors exists in loras directory\n✅ umt5_xxl_fp16.safetensors exists in ComfyUI/models/text_encoders\n✅ wan2.1_i2v_480p_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 55, title: Load Image, class type: LoadImage\nExecuting node 56, title: Width and height for scaling image to ideal resolution 🪴, class type: Width and height for scaling image to ideal resolution 🪴\nExecuting node 57, title: 🔧 Image Resize, class type: ImageResize+\nExecuting node 59, title: CLIP Vision Encode, class type: CLIPVisionEncode\nExecuting node 6, title: CLIP Text Encode (Positive Prompt), class type: CLIPTextEncode\nExecuting node 58, title: WanImageToVideo, class type: WanImageToVideo\nExecuting node 53, title: WanVideo Enhance A Video (native), class type: WanVideoEnhanceAVideoKJ\nExecuting node 3, title: KSampler, class type: KSampler\n[ComfyUI] Requested to load WAN21\n[ComfyUI]\n[ComfyUI] 0%| | 0/50 [00:00<?, ?it/s]\n[ComfyUI] 2%|▏ | 1/50 [00:08<06:41, 8.19s/it]\n[ComfyUI] 4%|▍ | 2/50 [00:18<07:33, 9.45s/it]\n[ComfyUI] 6%|▌ | 3/50 [00:28<07:43, 9.86s/it]\n[ComfyUI] 8%|▊ | 4/50 [00:39<07:42, 10.06s/it]\n[ComfyUI] 10%|█ | 5/50 [00:49<07:38, 10.18s/it]\n[ComfyUI] 12%|█▏ | 6/50 [01:00<07:31, 10.26s/it]\n[ComfyUI] 14%|█▍ | 7/50 [01:10<07:23, 10.30s/it]\n[ComfyUI] 16%|█▌ | 8/50 [01:20<07:13, 10.33s/it]\n[ComfyUI] 18%|█▊ | 9/50 [01:31<07:04, 10.36s/it]\n[ComfyUI] 20%|██ | 10/50 [01:41<06:54, 10.37s/it]\n[ComfyUI] 22%|██▏ | 11/50 [01:52<06:44, 10.38s/it]\n[ComfyUI] 24%|██▍ | 12/50 [02:02<06:34, 10.38s/it]\n[ComfyUI] 26%|██▌ | 13/50 [02:12<06:24, 10.39s/it]\n[ComfyUI] 28%|██▊ | 14/50 [02:23<06:14, 10.39s/it]\n[ComfyUI] 30%|███ | 15/50 [02:33<06:03, 10.40s/it]\n[ComfyUI] 32%|███▏ | 16/50 [02:44<05:53, 10.39s/it]\n[ComfyUI] 34%|███▍ | 17/50 [02:54<05:43, 10.40s/it]\n[ComfyUI] 36%|███▌ | 18/50 [03:04<05:32, 10.40s/it]\n[ComfyUI] 38%|███▊ | 19/50 [03:15<05:22, 10.40s/it]\n[ComfyUI] 40%|████ | 20/50 [03:25<05:11, 10.40s/it]\n[ComfyUI] 42%|████▏ | 21/50 [03:36<05:01, 10.40s/it]\n[ComfyUI] 44%|████▍ | 22/50 [03:46<04:51, 10.40s/it]\n[ComfyUI] 46%|████▌ | 23/50 [03:56<04:40, 10.40s/it]\n[ComfyUI] 48%|████▊ | 24/50 [04:07<04:30, 10.40s/it]\n[ComfyUI] 50%|█████ | 25/50 [04:17<04:19, 10.40s/it]\n[ComfyUI] 52%|█████▏ | 26/50 [04:28<04:09, 10.40s/it]\n[ComfyUI] 54%|█████▍ | 27/50 [04:38<03:59, 10.40s/it]\n[ComfyUI] 56%|█████▌ | 28/50 [04:48<03:48, 10.40s/it]\n[ComfyUI] 58%|█████▊ | 29/50 [04:59<03:38, 10.40s/it]\n[ComfyUI] 60%|██████ | 30/50 [05:09<03:27, 10.40s/it]\n[ComfyUI] 62%|██████▏ | 31/50 [05:20<03:17, 10.41s/it]\n[ComfyUI] 64%|██████▍ | 32/50 [05:30<03:07, 10.41s/it]\n[ComfyUI] 66%|██████▌ | 33/50 [05:40<02:56, 10.40s/it]\n[ComfyUI] 68%|██████▊ | 34/50 [05:51<02:46, 10.40s/it]\n[ComfyUI] 70%|███████ | 35/50 [06:01<02:36, 10.40s/it]\n[ComfyUI] 72%|███████▏ | 36/50 [06:12<02:25, 10.40s/it]\n[ComfyUI] 74%|███████▍ | 37/50 [06:22<02:15, 10.40s/it]\n[ComfyUI] 76%|███████▌ | 38/50 [06:32<02:04, 10.40s/it]\n[ComfyUI] 78%|███████▊ | 39/50 [06:43<01:54, 10.40s/it]\n[ComfyUI] 80%|████████ | 40/50 [06:53<01:43, 10.40s/it]\n[ComfyUI] 82%|████████▏ | 41/50 [07:04<01:33, 10.40s/it]\n[ComfyUI] 84%|████████▍ | 42/50 [07:14<01:23, 10.40s/it]\n[ComfyUI] 86%|████████▌ | 43/50 [07:24<01:12, 10.38s/it]\n[ComfyUI] 88%|████████▊ | 44/50 [07:35<01:02, 10.38s/it]\n[ComfyUI] 90%|█████████ | 45/50 [07:45<00:51, 10.37s/it]\n[ComfyUI] 92%|█████████▏| 46/50 [07:55<00:41, 10.36s/it]\n[ComfyUI] 94%|█████████▍| 47/50 [08:06<00:31, 10.36s/it]\n[ComfyUI] 96%|█████████▌| 48/50 [08:16<00:20, 10.36s/it]\n[ComfyUI] 98%|█████████▊| 49/50 [08:26<00:10, 10.35s/it]\n[ComfyUI] 100%|██████████| 50/50 [08:39<00:00, 10.98s/it]\nExecuting node 8, title: VAE Decode, class type: VAEDecode\nExecuting node 50, title: Video Combine 🎥🅥🅗🅢, class type: VHS_VideoCombine\n[ComfyUI] 100%|██████████| 50/50 [08:39<00:00, 10.39s/it]\n[ComfyUI] Prompt executed in 523.56 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": 523.874907465, "total_time": 523.884403 }, "output": [ "https://replicate.delivery/xezq/asl3HD14zJpjCV3WAefO5cMDOqyxKG2ZWIfN1dD9DRby4V2oA/R8_Wan_00001.mp4" ], "started_at": "2025-03-22T18:01:50.098496Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-jmoxhihcrorvklnco5opfvpvphgxi32yv3krfmmay5wugh4h45lq", "get": "https://api.replicate.com/v1/predictions/5hpne6xf15rme0cnqw2933vxr0", "cancel": "https://api.replicate.com/v1/predictions/5hpne6xf15rme0cnqw2933vxr0/cancel" }, "version": "8d934a800aee769933dd3f54c9348ac92d28c588065389ce7a526c77150069b5" }Generated inRandom seed set to: 1974571946 ✅ 14b_035cb393b31bb26f95fdf77699f31f97.safetensors already cached Checking inputs ✅ /tmp/inputs/image.png ==================================== Checking weights ✅ clip_vision_h.safetensors exists in ComfyUI/models/clip_vision ✅ 14b_035cb393b31bb26f95fdf77699f31f97.safetensors exists in loras directory ✅ umt5_xxl_fp16.safetensors exists in ComfyUI/models/text_encoders ✅ wan2.1_i2v_480p_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 55, title: Load Image, class type: LoadImage Executing node 56, title: Width and height for scaling image to ideal resolution 🪴, class type: Width and height for scaling image to ideal resolution 🪴 Executing node 57, title: 🔧 Image Resize, class type: ImageResize+ Executing node 59, title: CLIP Vision Encode, class type: CLIPVisionEncode Executing node 6, title: CLIP Text Encode (Positive Prompt), class type: CLIPTextEncode Executing node 58, title: WanImageToVideo, class type: WanImageToVideo Executing node 53, title: WanVideo Enhance A Video (native), class type: WanVideoEnhanceAVideoKJ Executing node 3, title: KSampler, class type: KSampler [ComfyUI] Requested to load WAN21 [ComfyUI] [ComfyUI] 0%| | 0/50 [00:00<?, ?it/s] [ComfyUI] 2%|▏ | 1/50 [00:08<06:41, 8.19s/it] [ComfyUI] 4%|▍ | 2/50 [00:18<07:33, 9.45s/it] [ComfyUI] 6%|▌ | 3/50 [00:28<07:43, 9.86s/it] [ComfyUI] 8%|▊ | 4/50 [00:39<07:42, 10.06s/it] [ComfyUI] 10%|█ | 5/50 [00:49<07:38, 10.18s/it] [ComfyUI] 12%|█▏ | 6/50 [01:00<07:31, 10.26s/it] [ComfyUI] 14%|█▍ | 7/50 [01:10<07:23, 10.30s/it] [ComfyUI] 16%|█▌ | 8/50 [01:20<07:13, 10.33s/it] [ComfyUI] 18%|█▊ | 9/50 [01:31<07:04, 10.36s/it] [ComfyUI] 20%|██ | 10/50 [01:41<06:54, 10.37s/it] [ComfyUI] 22%|██▏ | 11/50 [01:52<06:44, 10.38s/it] [ComfyUI] 24%|██▍ | 12/50 [02:02<06:34, 10.38s/it] [ComfyUI] 26%|██▌ | 13/50 [02:12<06:24, 10.39s/it] [ComfyUI] 28%|██▊ | 14/50 [02:23<06:14, 10.39s/it] [ComfyUI] 30%|███ | 15/50 [02:33<06:03, 10.40s/it] [ComfyUI] 32%|███▏ | 16/50 [02:44<05:53, 10.39s/it] [ComfyUI] 34%|███▍ | 17/50 [02:54<05:43, 10.40s/it] [ComfyUI] 36%|███▌ | 18/50 [03:04<05:32, 10.40s/it] [ComfyUI] 38%|███▊ | 19/50 [03:15<05:22, 10.40s/it] [ComfyUI] 40%|████ | 20/50 [03:25<05:11, 10.40s/it] [ComfyUI] 42%|████▏ | 21/50 [03:36<05:01, 10.40s/it] [ComfyUI] 44%|████▍ | 22/50 [03:46<04:51, 10.40s/it] [ComfyUI] 46%|████▌ | 23/50 [03:56<04:40, 10.40s/it] [ComfyUI] 48%|████▊ | 24/50 [04:07<04:30, 10.40s/it] [ComfyUI] 50%|█████ | 25/50 [04:17<04:19, 10.40s/it] [ComfyUI] 52%|█████▏ | 26/50 [04:28<04:09, 10.40s/it] [ComfyUI] 54%|█████▍ | 27/50 [04:38<03:59, 10.40s/it] [ComfyUI] 56%|█████▌ | 28/50 [04:48<03:48, 10.40s/it] [ComfyUI] 58%|█████▊ | 29/50 [04:59<03:38, 10.40s/it] [ComfyUI] 60%|██████ | 30/50 [05:09<03:27, 10.40s/it] [ComfyUI] 62%|██████▏ | 31/50 [05:20<03:17, 10.41s/it] [ComfyUI] 64%|██████▍ | 32/50 [05:30<03:07, 10.41s/it] [ComfyUI] 66%|██████▌ | 33/50 [05:40<02:56, 10.40s/it] [ComfyUI] 68%|██████▊ | 34/50 [05:51<02:46, 10.40s/it] [ComfyUI] 70%|███████ | 35/50 [06:01<02:36, 10.40s/it] [ComfyUI] 72%|███████▏ | 36/50 [06:12<02:25, 10.40s/it] [ComfyUI] 74%|███████▍ | 37/50 [06:22<02:15, 10.40s/it] [ComfyUI] 76%|███████▌ | 38/50 [06:32<02:04, 10.40s/it] [ComfyUI] 78%|███████▊ | 39/50 [06:43<01:54, 10.40s/it] [ComfyUI] 80%|████████ | 40/50 [06:53<01:43, 10.40s/it] [ComfyUI] 82%|████████▏ | 41/50 [07:04<01:33, 10.40s/it] [ComfyUI] 84%|████████▍ | 42/50 [07:14<01:23, 10.40s/it] [ComfyUI] 86%|████████▌ | 43/50 [07:24<01:12, 10.38s/it] [ComfyUI] 88%|████████▊ | 44/50 [07:35<01:02, 10.38s/it] [ComfyUI] 90%|█████████ | 45/50 [07:45<00:51, 10.37s/it] [ComfyUI] 92%|█████████▏| 46/50 [07:55<00:41, 10.36s/it] [ComfyUI] 94%|█████████▍| 47/50 [08:06<00:31, 10.36s/it] [ComfyUI] 96%|█████████▌| 48/50 [08:16<00:20, 10.36s/it] [ComfyUI] 98%|█████████▊| 49/50 [08:26<00:10, 10.35s/it] [ComfyUI] 100%|██████████| 50/50 [08:39<00:00, 10.98s/it] Executing node 8, title: VAE Decode, class type: VAEDecode Executing node 50, title: Video Combine 🎥🅥🅗🅢, class type: VHS_VideoCombine [ComfyUI] 100%|██████████| 50/50 [08:39<00:00, 10.39s/it] [ComfyUI] Prompt executed in 523.56 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.mp4Prediction
fofr/wan-14b-cyberpunk-realistic:8d934a800aee769933dd3f54c9348ac92d28c588065389ce7a526c77150069b5IDe656r7m60nrmc0cnqvwsh9p6jrStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- image
- frames
- 81
- prompt
- in the style of CYB77, driving a car through a city at night
- fast_mode
- Off
- resolution
- 480p
- aspect_ratio
- 16:9
- sample_shift
- 8
- sample_steps
- 30
- negative_prompt
- lora_strength_clip
- 1
- sample_guide_scale
- 5
- lora_strength_model
- 1
{ "image": "https://replicate.delivery/xezq/eF6W5kfNbvnK7kWrSNn4nPibGcy4ZAIDRqkAkXd22BufPV2oA/tmp5ddjeqzk.png", "frames": 81, "prompt": "in the style of CYB77, driving a car through a city at night", "fast_mode": "Off", "resolution": "480p", "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 replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run fofr/wan-14b-cyberpunk-realistic 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-cyberpunk-realistic:8d934a800aee769933dd3f54c9348ac92d28c588065389ce7a526c77150069b5", { input: { image: "https://replicate.delivery/xezq/eF6W5kfNbvnK7kWrSNn4nPibGcy4ZAIDRqkAkXd22BufPV2oA/tmp5ddjeqzk.png", frames: 81, prompt: "in the style of CYB77, driving a car through a city at night", fast_mode: "Off", resolution: "480p", aspect_ratio: "16:9", sample_shift: 8, sample_steps: 30, negative_prompt: "", lora_strength_clip: 1, sample_guide_scale: 5, lora_strength_model: 1 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun fofr/wan-14b-cyberpunk-realistic using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/wan-14b-cyberpunk-realistic:8d934a800aee769933dd3f54c9348ac92d28c588065389ce7a526c77150069b5", input={ "image": "https://replicate.delivery/xezq/eF6W5kfNbvnK7kWrSNn4nPibGcy4ZAIDRqkAkXd22BufPV2oA/tmp5ddjeqzk.png", "frames": 81, "prompt": "in the style of CYB77, driving a car through a city at night", "fast_mode": "Off", "resolution": "480p", "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.
Run fofr/wan-14b-cyberpunk-realistic 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": "fofr/wan-14b-cyberpunk-realistic:8d934a800aee769933dd3f54c9348ac92d28c588065389ce7a526c77150069b5", "input": { "image": "https://replicate.delivery/xezq/eF6W5kfNbvnK7kWrSNn4nPibGcy4ZAIDRqkAkXd22BufPV2oA/tmp5ddjeqzk.png", "frames": 81, "prompt": "in the style of CYB77, driving a car through a city at night", "fast_mode": "Off", "resolution": "480p", "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": "2025-03-22T17:54:55.041925Z", "created_at": "2025-03-22T17:49:38.693000Z", "data_removed": false, "error": null, "id": "e656r7m60nrmc0cnqvwsh9p6jr", "input": { "image": "https://replicate.delivery/xezq/eF6W5kfNbvnK7kWrSNn4nPibGcy4ZAIDRqkAkXd22BufPV2oA/tmp5ddjeqzk.png", "frames": 81, "prompt": "in the style of CYB77, driving a car through a city at night", "fast_mode": "Off", "resolution": "480p", "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: 14607855\n✅ 14b_035cb393b31bb26f95fdf77699f31f97.safetensors already cached\nChecking inputs\n✅ /tmp/inputs/image.png\n====================================\nChecking weights\n✅ clip_vision_h.safetensors exists in ComfyUI/models/clip_vision\n✅ 14b_035cb393b31bb26f95fdf77699f31f97.safetensors exists in loras directory\n✅ umt5_xxl_fp16.safetensors exists in ComfyUI/models/text_encoders\n✅ wan2.1_i2v_480p_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 55, title: Load Image, class type: LoadImage\nExecuting node 56, title: Width and height for scaling image to ideal resolution 🪴, class type: Width and height for scaling image to ideal resolution 🪴\nExecuting node 57, title: 🔧 Image Resize, class type: ImageResize+\nExecuting node 59, title: CLIP Vision Encode, class type: CLIPVisionEncode\nExecuting node 6, title: CLIP Text Encode (Positive Prompt), class type: CLIPTextEncode\nExecuting node 58, title: WanImageToVideo, class type: WanImageToVideo\nExecuting node 53, title: WanVideo Enhance A Video (native), class type: WanVideoEnhanceAVideoKJ\nExecuting node 3, title: KSampler, class type: KSampler\n[ComfyUI] Requested to load WAN21\n[ComfyUI]\n[ComfyUI] 0%| | 0/30 [00:00<?, ?it/s]\n[ComfyUI] 3%|▎ | 1/30 [00:08<03:57, 8.21s/it]\n[ComfyUI] 7%|▋ | 2/30 [00:18<04:26, 9.51s/it]\n[ComfyUI] 10%|█ | 3/30 [00:28<04:27, 9.90s/it]\n[ComfyUI] 13%|█▎ | 4/30 [00:39<04:22, 10.10s/it]\n[ComfyUI] 17%|█▋ | 5/30 [00:49<04:15, 10.21s/it]\n[ComfyUI] 20%|██ | 6/30 [01:00<04:06, 10.28s/it]\n[ComfyUI] 23%|██▎ | 7/30 [01:10<03:57, 10.31s/it]\n[ComfyUI] 27%|██▋ | 8/30 [01:21<03:47, 10.34s/it]\n[ComfyUI] 30%|███ | 9/30 [01:31<03:37, 10.36s/it]\n[ComfyUI] 33%|███▎ | 10/30 [01:41<03:27, 10.37s/it]\n[ComfyUI] 37%|███▋ | 11/30 [01:52<03:17, 10.38s/it]\n[ComfyUI] 40%|████ | 12/30 [02:02<03:06, 10.39s/it]\n[ComfyUI] 43%|████▎ | 13/30 [02:13<02:56, 10.39s/it]\n[ComfyUI] 47%|████▋ | 14/30 [02:23<02:46, 10.39s/it]\n[ComfyUI] 50%|█████ | 15/30 [02:33<02:35, 10.40s/it]\n[ComfyUI] 53%|█████▎ | 16/30 [02:44<02:25, 10.40s/it]\n[ComfyUI] 57%|█████▋ | 17/30 [02:54<02:15, 10.39s/it]\n[ComfyUI] 60%|██████ | 18/30 [03:04<02:04, 10.39s/it]\n[ComfyUI] 63%|██████▎ | 19/30 [03:15<01:54, 10.40s/it]\n[ComfyUI] 67%|██████▋ | 20/30 [03:25<01:43, 10.40s/it]\n[ComfyUI] 70%|███████ | 21/30 [03:36<01:33, 10.40s/it]\n[ComfyUI] 73%|███████▎ | 22/30 [03:46<01:23, 10.40s/it]\n[ComfyUI] 77%|███████▋ | 23/30 [03:56<01:12, 10.40s/it]\n[ComfyUI] 80%|████████ | 24/30 [04:07<01:02, 10.39s/it]\n[ComfyUI] 83%|████████▎ | 25/30 [04:17<00:51, 10.39s/it]\n[ComfyUI] 87%|████████▋ | 26/30 [04:28<00:41, 10.39s/it]\n[ComfyUI] 90%|█████████ | 27/30 [04:38<00:31, 10.39s/it]\n[ComfyUI] 93%|█████████▎| 28/30 [04:48<00:20, 10.39s/it]\n[ComfyUI] 97%|█████████▋| 29/30 [04:59<00:10, 10.40s/it]\n[ComfyUI] 100%|██████████| 30/30 [05:11<00:00, 11.04s/it]\nExecuting node 8, title: VAE Decode, class type: VAEDecode\nExecuting node 50, title: Video Combine 🎥🅥🅗🅢, class type: VHS_VideoCombine\n[ComfyUI] 100%|██████████| 30/30 [05:11<00:00, 10.40s/it]\n[ComfyUI] Prompt executed in 316.05 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": 316.342382453, "total_time": 316.348925 }, "output": [ "https://replicate.delivery/xezq/ByLxPmW5pz6cKNFgMvoN34o0m7MecRlYeToujGw97KlvtKbUA/R8_Wan_00001.mp4" ], "started_at": "2025-03-22T17:49:38.699542Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-3rr6cpxncndrpzjzyhjpu5ydeop7rdcxhyj7bjdu6mf2nqw6wo2a", "get": "https://api.replicate.com/v1/predictions/e656r7m60nrmc0cnqvwsh9p6jr", "cancel": "https://api.replicate.com/v1/predictions/e656r7m60nrmc0cnqvwsh9p6jr/cancel" }, "version": "8d934a800aee769933dd3f54c9348ac92d28c588065389ce7a526c77150069b5" }Generated inRandom seed set to: 14607855 ✅ 14b_035cb393b31bb26f95fdf77699f31f97.safetensors already cached Checking inputs ✅ /tmp/inputs/image.png ==================================== Checking weights ✅ clip_vision_h.safetensors exists in ComfyUI/models/clip_vision ✅ 14b_035cb393b31bb26f95fdf77699f31f97.safetensors exists in loras directory ✅ umt5_xxl_fp16.safetensors exists in ComfyUI/models/text_encoders ✅ wan2.1_i2v_480p_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 55, title: Load Image, class type: LoadImage Executing node 56, title: Width and height for scaling image to ideal resolution 🪴, class type: Width and height for scaling image to ideal resolution 🪴 Executing node 57, title: 🔧 Image Resize, class type: ImageResize+ Executing node 59, title: CLIP Vision Encode, class type: CLIPVisionEncode Executing node 6, title: CLIP Text Encode (Positive Prompt), class type: CLIPTextEncode Executing node 58, title: WanImageToVideo, class type: WanImageToVideo Executing node 53, title: WanVideo Enhance A Video (native), class type: WanVideoEnhanceAVideoKJ Executing node 3, title: KSampler, class type: KSampler [ComfyUI] Requested to load WAN21 [ComfyUI] [ComfyUI] 0%| | 0/30 [00:00<?, ?it/s] [ComfyUI] 3%|▎ | 1/30 [00:08<03:57, 8.21s/it] [ComfyUI] 7%|▋ | 2/30 [00:18<04:26, 9.51s/it] [ComfyUI] 10%|█ | 3/30 [00:28<04:27, 9.90s/it] [ComfyUI] 13%|█▎ | 4/30 [00:39<04:22, 10.10s/it] [ComfyUI] 17%|█▋ | 5/30 [00:49<04:15, 10.21s/it] [ComfyUI] 20%|██ | 6/30 [01:00<04:06, 10.28s/it] [ComfyUI] 23%|██▎ | 7/30 [01:10<03:57, 10.31s/it] [ComfyUI] 27%|██▋ | 8/30 [01:21<03:47, 10.34s/it] [ComfyUI] 30%|███ | 9/30 [01:31<03:37, 10.36s/it] [ComfyUI] 33%|███▎ | 10/30 [01:41<03:27, 10.37s/it] [ComfyUI] 37%|███▋ | 11/30 [01:52<03:17, 10.38s/it] [ComfyUI] 40%|████ | 12/30 [02:02<03:06, 10.39s/it] [ComfyUI] 43%|████▎ | 13/30 [02:13<02:56, 10.39s/it] [ComfyUI] 47%|████▋ | 14/30 [02:23<02:46, 10.39s/it] [ComfyUI] 50%|█████ | 15/30 [02:33<02:35, 10.40s/it] [ComfyUI] 53%|█████▎ | 16/30 [02:44<02:25, 10.40s/it] [ComfyUI] 57%|█████▋ | 17/30 [02:54<02:15, 10.39s/it] [ComfyUI] 60%|██████ | 18/30 [03:04<02:04, 10.39s/it] [ComfyUI] 63%|██████▎ | 19/30 [03:15<01:54, 10.40s/it] [ComfyUI] 67%|██████▋ | 20/30 [03:25<01:43, 10.40s/it] [ComfyUI] 70%|███████ | 21/30 [03:36<01:33, 10.40s/it] [ComfyUI] 73%|███████▎ | 22/30 [03:46<01:23, 10.40s/it] [ComfyUI] 77%|███████▋ | 23/30 [03:56<01:12, 10.40s/it] [ComfyUI] 80%|████████ | 24/30 [04:07<01:02, 10.39s/it] [ComfyUI] 83%|████████▎ | 25/30 [04:17<00:51, 10.39s/it] [ComfyUI] 87%|████████▋ | 26/30 [04:28<00:41, 10.39s/it] [ComfyUI] 90%|█████████ | 27/30 [04:38<00:31, 10.39s/it] [ComfyUI] 93%|█████████▎| 28/30 [04:48<00:20, 10.39s/it] [ComfyUI] 97%|█████████▋| 29/30 [04:59<00:10, 10.40s/it] [ComfyUI] 100%|██████████| 30/30 [05:11<00:00, 11.04s/it] Executing node 8, title: VAE Decode, class type: VAEDecode Executing node 50, title: Video Combine 🎥🅥🅗🅢, class type: VHS_VideoCombine [ComfyUI] 100%|██████████| 30/30 [05:11<00:00, 10.40s/it] [ComfyUI] Prompt executed in 316.05 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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