coder-pranav / image_better_text
(Updated 8 months, 2 weeks ago)
- Public
- 89 runs
-
A100 (80GB)
- License
Prediction
coder-pranav/image_better_text:181d3b8f6dce10f4c5f11468066c4e3f537f78820d86317c48a37a9534996a37ID8vr95qwxb9rj20cj8ypv7jvs18StatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedInput
- cfg
- 3.5
- steps
- 42
- width
- 1024
- height
- 1024
- prompt
- a photo of heaven with title saying welcome to hell with an emoji
- output_format
- png
- output_quality
- 95
- number_of_images
- 1
{ "cfg": 3.5, "steps": 42, "width": 1024, "height": 1024, "prompt": "a photo of heaven with title saying welcome to hell with an emoji", "output_format": "png", "output_quality": 95, "number_of_images": 1 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run coder-pranav/image_better_text using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "coder-pranav/image_better_text:181d3b8f6dce10f4c5f11468066c4e3f537f78820d86317c48a37a9534996a37", { input: { cfg: 3.5, steps: 42, width: 1024, height: 1024, prompt: "a photo of heaven with title saying welcome to hell with an emoji", output_format: "png", output_quality: 95, number_of_images: 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 coder-pranav/image_better_text using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "coder-pranav/image_better_text:181d3b8f6dce10f4c5f11468066c4e3f537f78820d86317c48a37a9534996a37", input={ "cfg": 3.5, "steps": 42, "width": 1024, "height": 1024, "prompt": "a photo of heaven with title saying welcome to hell with an emoji", "output_format": "png", "output_quality": 95, "number_of_images": 1 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run coder-pranav/image_better_text 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": "coder-pranav/image_better_text:181d3b8f6dce10f4c5f11468066c4e3f537f78820d86317c48a37a9534996a37", "input": { "cfg": 3.5, "steps": 42, "width": 1024, "height": 1024, "prompt": "a photo of heaven with title saying welcome to hell with an emoji", "output_format": "png", "output_quality": 95, "number_of_images": 1 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-10-01T10:43:54.973987Z", "created_at": "2024-10-01T10:43:33.338000Z", "data_removed": false, "error": null, "id": "8vr95qwxb9rj20cj8ypv7jvs18", "input": { "cfg": 3.5, "steps": 42, "width": 1024, "height": 1024, "prompt": "a photo of heaven with title saying welcome to hell with an emoji", "output_format": "png", "output_quality": 95, "number_of_images": 1 }, "logs": "Random seed set to: 4247068945\nRunning workflow\n[ComfyUI] got prompt\nExecuting node 6, title: CLIP Text Encode (Positive Prompt), class type: CLIPTextEncode\nExecuting node 26, title: FluxGuidance, class type: FluxGuidance\nExecuting node 22, title: BasicGuider, class type: BasicGuider\nExecuting node 25, title: RandomNoise, class type: RandomNoise\nExecuting node 13, title: SamplerCustomAdvanced, class type: SamplerCustomAdvanced\n[ComfyUI]\n[ComfyUI] 0%| | 0/42 [00:00<?, ?it/s]\n[ComfyUI] 2%|▏ | 1/42 [00:00<00:08, 4.63it/s]\n[ComfyUI] 5%|▍ | 2/42 [00:00<00:13, 2.96it/s]\n[ComfyUI] 7%|▋ | 3/42 [00:01<00:14, 2.65it/s]\n[ComfyUI] 10%|▉ | 4/42 [00:01<00:15, 2.53it/s]\n[ComfyUI] 12%|█▏ | 5/42 [00:01<00:15, 2.47it/s]\n[ComfyUI] 14%|█▍ | 6/42 [00:02<00:14, 2.43it/s]\n[ComfyUI] 17%|█▋ | 7/42 [00:02<00:14, 2.40it/s]\n[ComfyUI] 19%|█▉ | 8/42 [00:03<00:14, 2.39it/s]\n[ComfyUI] 21%|██▏ | 9/42 [00:03<00:13, 2.38it/s]\n[ComfyUI] 24%|██▍ | 10/42 [00:04<00:13, 2.37it/s]\n[ComfyUI] 26%|██▌ | 11/42 [00:04<00:13, 2.37it/s]\n[ComfyUI] 29%|██▊ | 12/42 [00:04<00:12, 2.36it/s]\n[ComfyUI] 31%|███ | 13/42 [00:05<00:12, 2.36it/s]\n[ComfyUI] 33%|███▎ | 14/42 [00:05<00:11, 2.36it/s]\n[ComfyUI] 36%|███▌ | 15/42 [00:06<00:11, 2.36it/s]\n[ComfyUI] 38%|███▊ | 16/42 [00:06<00:11, 2.36it/s]\n[ComfyUI] 40%|████ | 17/42 [00:07<00:10, 2.35it/s]\n[ComfyUI] 43%|████▎ | 18/42 [00:07<00:10, 2.35it/s]\n[ComfyUI] 45%|████▌ | 19/42 [00:07<00:09, 2.35it/s]\n[ComfyUI] 48%|████▊ | 20/42 [00:08<00:09, 2.35it/s]\n[ComfyUI] 50%|█████ | 21/42 [00:08<00:08, 2.35it/s]\n[ComfyUI] 52%|█████▏ | 22/42 [00:09<00:08, 2.36it/s]\n[ComfyUI] 55%|█████▍ | 23/42 [00:09<00:08, 2.36it/s]\n[ComfyUI] 57%|█████▋ | 24/42 [00:09<00:07, 2.35it/s]\n[ComfyUI] 60%|█████▉ | 25/42 [00:10<00:07, 2.35it/s]\n[ComfyUI] 62%|██████▏ | 26/42 [00:10<00:06, 2.35it/s]\n[ComfyUI] 64%|██████▍ | 27/42 [00:11<00:06, 2.35it/s]\n[ComfyUI] 67%|██████▋ | 28/42 [00:11<00:05, 2.35it/s]\n[ComfyUI] 69%|██████▉ | 29/42 [00:12<00:05, 2.35it/s]\n[ComfyUI] 71%|███████▏ | 30/42 [00:12<00:05, 2.35it/s]\n[ComfyUI] 74%|███████▍ | 31/42 [00:12<00:04, 2.35it/s]\n[ComfyUI] 76%|███████▌ | 32/42 [00:13<00:04, 2.35it/s]\n[ComfyUI] 79%|███████▊ | 33/42 [00:13<00:03, 2.35it/s]\n[ComfyUI] 81%|████████ | 34/42 [00:14<00:03, 2.35it/s]\n[ComfyUI] 83%|████████▎ | 35/42 [00:14<00:02, 2.35it/s]\n[ComfyUI] 86%|████████▌ | 36/42 [00:15<00:02, 2.35it/s]\n[ComfyUI] 88%|████████▊ | 37/42 [00:15<00:02, 2.35it/s]\n[ComfyUI] 90%|█████████ | 38/42 [00:15<00:01, 2.35it/s]\n[ComfyUI] 93%|█████████▎| 39/42 [00:16<00:01, 2.35it/s]\n[ComfyUI] 95%|█████████▌| 40/42 [00:16<00:00, 2.35it/s]\n[ComfyUI] 98%|█████████▊| 41/42 [00:17<00:00, 2.35it/s]\n[ComfyUI] 100%|██████████| 42/42 [00:17<00:00, 2.35it/s]\n[ComfyUI] 100%|██████████| 42/42 [00:17<00:00, 2.38it/s]\nExecuting node 8, title: VAE Decode, class type: VAEDecode\nExecuting node 9, title: Save Image, class type: SaveImage\n[ComfyUI] Prompt executed in 18.37 seconds\noutputs: {'9': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nComfyUI_00001_.png", "metrics": { "predict_time": 21.627003046, "total_time": 21.635987 }, "output": [ "https://replicate.delivery/yhqm/IzeV65ND53y7B6jt6taGBV6ckPSfscGUdp3KQrl4sVgqRYiTA/ComfyUI_00001_.png" ], "started_at": "2024-10-01T10:43:33.346984Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/8vr95qwxb9rj20cj8ypv7jvs18", "cancel": "https://api.replicate.com/v1/predictions/8vr95qwxb9rj20cj8ypv7jvs18/cancel" }, "version": "181d3b8f6dce10f4c5f11468066c4e3f537f78820d86317c48a37a9534996a37" }Generated inRandom seed set to: 4247068945 Running workflow [ComfyUI] got prompt Executing node 6, title: CLIP Text Encode (Positive Prompt), class type: CLIPTextEncode Executing node 26, title: FluxGuidance, class type: FluxGuidance Executing node 22, title: BasicGuider, class type: BasicGuider Executing node 25, title: RandomNoise, class type: RandomNoise Executing node 13, title: SamplerCustomAdvanced, class type: SamplerCustomAdvanced [ComfyUI] [ComfyUI] 0%| | 0/42 [00:00<?, ?it/s] [ComfyUI] 2%|▏ | 1/42 [00:00<00:08, 4.63it/s] [ComfyUI] 5%|▍ | 2/42 [00:00<00:13, 2.96it/s] [ComfyUI] 7%|▋ | 3/42 [00:01<00:14, 2.65it/s] [ComfyUI] 10%|▉ | 4/42 [00:01<00:15, 2.53it/s] [ComfyUI] 12%|█▏ | 5/42 [00:01<00:15, 2.47it/s] [ComfyUI] 14%|█▍ | 6/42 [00:02<00:14, 2.43it/s] [ComfyUI] 17%|█▋ | 7/42 [00:02<00:14, 2.40it/s] [ComfyUI] 19%|█▉ | 8/42 [00:03<00:14, 2.39it/s] [ComfyUI] 21%|██▏ | 9/42 [00:03<00:13, 2.38it/s] [ComfyUI] 24%|██▍ | 10/42 [00:04<00:13, 2.37it/s] [ComfyUI] 26%|██▌ | 11/42 [00:04<00:13, 2.37it/s] [ComfyUI] 29%|██▊ | 12/42 [00:04<00:12, 2.36it/s] [ComfyUI] 31%|███ | 13/42 [00:05<00:12, 2.36it/s] [ComfyUI] 33%|███▎ | 14/42 [00:05<00:11, 2.36it/s] [ComfyUI] 36%|███▌ | 15/42 [00:06<00:11, 2.36it/s] [ComfyUI] 38%|███▊ | 16/42 [00:06<00:11, 2.36it/s] [ComfyUI] 40%|████ | 17/42 [00:07<00:10, 2.35it/s] [ComfyUI] 43%|████▎ | 18/42 [00:07<00:10, 2.35it/s] [ComfyUI] 45%|████▌ | 19/42 [00:07<00:09, 2.35it/s] [ComfyUI] 48%|████▊ | 20/42 [00:08<00:09, 2.35it/s] [ComfyUI] 50%|█████ | 21/42 [00:08<00:08, 2.35it/s] [ComfyUI] 52%|█████▏ | 22/42 [00:09<00:08, 2.36it/s] [ComfyUI] 55%|█████▍ | 23/42 [00:09<00:08, 2.36it/s] [ComfyUI] 57%|█████▋ | 24/42 [00:09<00:07, 2.35it/s] [ComfyUI] 60%|█████▉ | 25/42 [00:10<00:07, 2.35it/s] [ComfyUI] 62%|██████▏ | 26/42 [00:10<00:06, 2.35it/s] [ComfyUI] 64%|██████▍ | 27/42 [00:11<00:06, 2.35it/s] [ComfyUI] 67%|██████▋ | 28/42 [00:11<00:05, 2.35it/s] [ComfyUI] 69%|██████▉ | 29/42 [00:12<00:05, 2.35it/s] [ComfyUI] 71%|███████▏ | 30/42 [00:12<00:05, 2.35it/s] [ComfyUI] 74%|███████▍ | 31/42 [00:12<00:04, 2.35it/s] [ComfyUI] 76%|███████▌ | 32/42 [00:13<00:04, 2.35it/s] [ComfyUI] 79%|███████▊ | 33/42 [00:13<00:03, 2.35it/s] [ComfyUI] 81%|████████ | 34/42 [00:14<00:03, 2.35it/s] [ComfyUI] 83%|████████▎ | 35/42 [00:14<00:02, 2.35it/s] [ComfyUI] 86%|████████▌ | 36/42 [00:15<00:02, 2.35it/s] [ComfyUI] 88%|████████▊ | 37/42 [00:15<00:02, 2.35it/s] [ComfyUI] 90%|█████████ | 38/42 [00:15<00:01, 2.35it/s] [ComfyUI] 93%|█████████▎| 39/42 [00:16<00:01, 2.35it/s] [ComfyUI] 95%|█████████▌| 40/42 [00:16<00:00, 2.35it/s] [ComfyUI] 98%|█████████▊| 41/42 [00:17<00:00, 2.35it/s] [ComfyUI] 100%|██████████| 42/42 [00:17<00:00, 2.35it/s] [ComfyUI] 100%|██████████| 42/42 [00:17<00:00, 2.38it/s] Executing node 8, title: VAE Decode, class type: VAEDecode Executing node 9, title: Save Image, class type: SaveImage [ComfyUI] Prompt executed in 18.37 seconds outputs: {'9': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}} ==================================== ComfyUI_00001_.pngPrediction
coder-pranav/image_better_text:181d3b8f6dce10f4c5f11468066c4e3f537f78820d86317c48a37a9534996a37IDcsk6sea8nhrj60cj8yrbfy1hymStatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedInput
- cfg
- 3.5
- steps
- 42
- width
- 1024
- height
- 1024
- prompt
- a modern design ps5 controller with an orange fruit logo glowing with doodles all around
- output_format
- png
- output_quality
- 95
- number_of_images
- 1
{ "cfg": 3.5, "steps": 42, "width": 1024, "height": 1024, "prompt": "a modern design ps5 controller with an orange fruit logo glowing with doodles all around", "output_format": "png", "output_quality": 95, "number_of_images": 1 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run coder-pranav/image_better_text using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "coder-pranav/image_better_text:181d3b8f6dce10f4c5f11468066c4e3f537f78820d86317c48a37a9534996a37", { input: { cfg: 3.5, steps: 42, width: 1024, height: 1024, prompt: "a modern design ps5 controller with an orange fruit logo glowing with doodles all around", output_format: "png", output_quality: 95, number_of_images: 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 coder-pranav/image_better_text using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "coder-pranav/image_better_text:181d3b8f6dce10f4c5f11468066c4e3f537f78820d86317c48a37a9534996a37", input={ "cfg": 3.5, "steps": 42, "width": 1024, "height": 1024, "prompt": "a modern design ps5 controller with an orange fruit logo glowing with doodles all around", "output_format": "png", "output_quality": 95, "number_of_images": 1 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run coder-pranav/image_better_text 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": "coder-pranav/image_better_text:181d3b8f6dce10f4c5f11468066c4e3f537f78820d86317c48a37a9534996a37", "input": { "cfg": 3.5, "steps": 42, "width": 1024, "height": 1024, "prompt": "a modern design ps5 controller with an orange fruit logo glowing with doodles all around", "output_format": "png", "output_quality": 95, "number_of_images": 1 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-10-01T10:46:49.873690Z", "created_at": "2024-10-01T10:46:28.268000Z", "data_removed": false, "error": null, "id": "csk6sea8nhrj60cj8yrbfy1hym", "input": { "cfg": 3.5, "steps": 42, "width": 1024, "height": 1024, "prompt": "a modern design ps5 controller with an orange fruit logo glowing with doodles all around", "output_format": "png", "output_quality": 95, "number_of_images": 1 }, "logs": "Random seed set to: 3138616841\nRunning workflow\n[ComfyUI] got prompt\nExecuting node 6, title: CLIP Text Encode (Positive Prompt), class type: CLIPTextEncode\nExecuting node 26, title: FluxGuidance, class type: FluxGuidance\nExecuting node 22, title: BasicGuider, class type: BasicGuider\nExecuting node 25, title: RandomNoise, class type: RandomNoise\nExecuting node 13, title: SamplerCustomAdvanced, class type: SamplerCustomAdvanced\n[ComfyUI]\n[ComfyUI] 0%| | 0/42 [00:00<?, ?it/s]\n[ComfyUI] 2%|▏ | 1/42 [00:00<00:08, 4.60it/s]\n[ComfyUI] 5%|▍ | 2/42 [00:00<00:13, 2.96it/s]\n[ComfyUI] 7%|▋ | 3/42 [00:01<00:14, 2.65it/s]\n[ComfyUI] 10%|▉ | 4/42 [00:01<00:15, 2.53it/s]\n[ComfyUI] 12%|█▏ | 5/42 [00:01<00:14, 2.47it/s]\n[ComfyUI] 14%|█▍ | 6/42 [00:02<00:14, 2.43it/s]\n[ComfyUI] 17%|█▋ | 7/42 [00:02<00:14, 2.40it/s]\n[ComfyUI] 19%|█▉ | 8/42 [00:03<00:14, 2.39it/s]\n[ComfyUI] 21%|██▏ | 9/42 [00:03<00:13, 2.38it/s]\n[ComfyUI] 24%|██▍ | 10/42 [00:04<00:13, 2.37it/s]\n[ComfyUI] 26%|██▌ | 11/42 [00:04<00:13, 2.37it/s]\n[ComfyUI] 29%|██▊ | 12/42 [00:04<00:12, 2.36it/s]\n[ComfyUI] 31%|███ | 13/42 [00:05<00:12, 2.36it/s]\n[ComfyUI] 33%|███▎ | 14/42 [00:05<00:11, 2.36it/s]\n[ComfyUI] 36%|███▌ | 15/42 [00:06<00:11, 2.36it/s]\n[ComfyUI] 38%|███▊ | 16/42 [00:06<00:11, 2.36it/s]\n[ComfyUI] 40%|████ | 17/42 [00:07<00:10, 2.36it/s]\n[ComfyUI] 43%|████▎ | 18/42 [00:07<00:10, 2.36it/s]\n[ComfyUI] 45%|████▌ | 19/42 [00:07<00:09, 2.35it/s]\n[ComfyUI] 48%|████▊ | 20/42 [00:08<00:09, 2.35it/s]\n[ComfyUI] 50%|█████ | 21/42 [00:08<00:08, 2.35it/s]\n[ComfyUI] 52%|█████▏ | 22/42 [00:09<00:08, 2.35it/s]\n[ComfyUI] 55%|█████▍ | 23/42 [00:09<00:08, 2.35it/s]\n[ComfyUI] 57%|█████▋ | 24/42 [00:09<00:07, 2.35it/s]\n[ComfyUI] 60%|█████▉ | 25/42 [00:10<00:07, 2.35it/s]\n[ComfyUI] 62%|██████▏ | 26/42 [00:10<00:06, 2.35it/s]\n[ComfyUI] 64%|██████▍ | 27/42 [00:11<00:06, 2.35it/s]\n[ComfyUI] 67%|██████▋ | 28/42 [00:11<00:05, 2.35it/s]\n[ComfyUI] 69%|██████▉ | 29/42 [00:12<00:05, 2.35it/s]\n[ComfyUI] 71%|███████▏ | 30/42 [00:12<00:05, 2.35it/s]\n[ComfyUI] 74%|███████▍ | 31/42 [00:12<00:04, 2.35it/s]\n[ComfyUI] 76%|███████▌ | 32/42 [00:13<00:04, 2.35it/s]\n[ComfyUI] 79%|███████▊ | 33/42 [00:13<00:03, 2.35it/s]\n[ComfyUI] 81%|████████ | 34/42 [00:14<00:03, 2.35it/s]\n[ComfyUI] 83%|████████▎ | 35/42 [00:14<00:02, 2.35it/s]\n[ComfyUI] 86%|████████▌ | 36/42 [00:15<00:02, 2.35it/s]\n[ComfyUI] 88%|████████▊ | 37/42 [00:15<00:02, 2.35it/s]\n[ComfyUI] 90%|█████████ | 38/42 [00:15<00:01, 2.35it/s]\n[ComfyUI] 93%|█████████▎| 39/42 [00:16<00:01, 2.35it/s]\n[ComfyUI] 95%|█████████▌| 40/42 [00:16<00:00, 2.35it/s]\n[ComfyUI] 98%|█████████▊| 41/42 [00:17<00:00, 2.35it/s]\n[ComfyUI] 100%|██████████| 42/42 [00:17<00:00, 2.35it/s]\n[ComfyUI] 100%|██████████| 42/42 [00:17<00:00, 2.38it/s]\nExecuting node 8, title: VAE Decode, class type: VAEDecode\nExecuting node 9, title: Save Image, class type: SaveImage\n[ComfyUI] Prompt executed in 18.32 seconds\noutputs: {'9': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nComfyUI_00001_.png", "metrics": { "predict_time": 21.596952842, "total_time": 21.60569 }, "output": [ "https://replicate.delivery/yhqm/jwVGfv9BTyTGUi7ceYdUtWHUh4zxHfWtB0RSxHVwbagzowEnA/ComfyUI_00001_.png" ], "started_at": "2024-10-01T10:46:28.276737Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/csk6sea8nhrj60cj8yrbfy1hym", "cancel": "https://api.replicate.com/v1/predictions/csk6sea8nhrj60cj8yrbfy1hym/cancel" }, "version": "181d3b8f6dce10f4c5f11468066c4e3f537f78820d86317c48a37a9534996a37" }Generated inRandom seed set to: 3138616841 Running workflow [ComfyUI] got prompt Executing node 6, title: CLIP Text Encode (Positive Prompt), class type: CLIPTextEncode Executing node 26, title: FluxGuidance, class type: FluxGuidance Executing node 22, title: BasicGuider, class type: BasicGuider Executing node 25, title: RandomNoise, class type: RandomNoise Executing node 13, title: SamplerCustomAdvanced, class type: SamplerCustomAdvanced [ComfyUI] [ComfyUI] 0%| | 0/42 [00:00<?, ?it/s] [ComfyUI] 2%|▏ | 1/42 [00:00<00:08, 4.60it/s] [ComfyUI] 5%|▍ | 2/42 [00:00<00:13, 2.96it/s] [ComfyUI] 7%|▋ | 3/42 [00:01<00:14, 2.65it/s] [ComfyUI] 10%|▉ | 4/42 [00:01<00:15, 2.53it/s] [ComfyUI] 12%|█▏ | 5/42 [00:01<00:14, 2.47it/s] [ComfyUI] 14%|█▍ | 6/42 [00:02<00:14, 2.43it/s] [ComfyUI] 17%|█▋ | 7/42 [00:02<00:14, 2.40it/s] [ComfyUI] 19%|█▉ | 8/42 [00:03<00:14, 2.39it/s] [ComfyUI] 21%|██▏ | 9/42 [00:03<00:13, 2.38it/s] [ComfyUI] 24%|██▍ | 10/42 [00:04<00:13, 2.37it/s] [ComfyUI] 26%|██▌ | 11/42 [00:04<00:13, 2.37it/s] [ComfyUI] 29%|██▊ | 12/42 [00:04<00:12, 2.36it/s] [ComfyUI] 31%|███ | 13/42 [00:05<00:12, 2.36it/s] [ComfyUI] 33%|███▎ | 14/42 [00:05<00:11, 2.36it/s] [ComfyUI] 36%|███▌ | 15/42 [00:06<00:11, 2.36it/s] [ComfyUI] 38%|███▊ | 16/42 [00:06<00:11, 2.36it/s] [ComfyUI] 40%|████ | 17/42 [00:07<00:10, 2.36it/s] [ComfyUI] 43%|████▎ | 18/42 [00:07<00:10, 2.36it/s] [ComfyUI] 45%|████▌ | 19/42 [00:07<00:09, 2.35it/s] [ComfyUI] 48%|████▊ | 20/42 [00:08<00:09, 2.35it/s] [ComfyUI] 50%|█████ | 21/42 [00:08<00:08, 2.35it/s] [ComfyUI] 52%|█████▏ | 22/42 [00:09<00:08, 2.35it/s] [ComfyUI] 55%|█████▍ | 23/42 [00:09<00:08, 2.35it/s] [ComfyUI] 57%|█████▋ | 24/42 [00:09<00:07, 2.35it/s] [ComfyUI] 60%|█████▉ | 25/42 [00:10<00:07, 2.35it/s] [ComfyUI] 62%|██████▏ | 26/42 [00:10<00:06, 2.35it/s] [ComfyUI] 64%|██████▍ | 27/42 [00:11<00:06, 2.35it/s] [ComfyUI] 67%|██████▋ | 28/42 [00:11<00:05, 2.35it/s] [ComfyUI] 69%|██████▉ | 29/42 [00:12<00:05, 2.35it/s] [ComfyUI] 71%|███████▏ | 30/42 [00:12<00:05, 2.35it/s] [ComfyUI] 74%|███████▍ | 31/42 [00:12<00:04, 2.35it/s] [ComfyUI] 76%|███████▌ | 32/42 [00:13<00:04, 2.35it/s] [ComfyUI] 79%|███████▊ | 33/42 [00:13<00:03, 2.35it/s] [ComfyUI] 81%|████████ | 34/42 [00:14<00:03, 2.35it/s] [ComfyUI] 83%|████████▎ | 35/42 [00:14<00:02, 2.35it/s] [ComfyUI] 86%|████████▌ | 36/42 [00:15<00:02, 2.35it/s] [ComfyUI] 88%|████████▊ | 37/42 [00:15<00:02, 2.35it/s] [ComfyUI] 90%|█████████ | 38/42 [00:15<00:01, 2.35it/s] [ComfyUI] 93%|█████████▎| 39/42 [00:16<00:01, 2.35it/s] [ComfyUI] 95%|█████████▌| 40/42 [00:16<00:00, 2.35it/s] [ComfyUI] 98%|█████████▊| 41/42 [00:17<00:00, 2.35it/s] [ComfyUI] 100%|██████████| 42/42 [00:17<00:00, 2.35it/s] [ComfyUI] 100%|██████████| 42/42 [00:17<00:00, 2.38it/s] Executing node 8, title: VAE Decode, class type: VAEDecode Executing node 9, title: Save Image, class type: SaveImage [ComfyUI] Prompt executed in 18.32 seconds outputs: {'9': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}} ==================================== ComfyUI_00001_.png
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