fofr
/
replicate-tshirt
Tshirt designs with a hidden Replicate logo
- Public
- 763 runs
-
L40S
Prediction
fofr/replicate-tshirt:cbd108aaIDcrzbsxdb4bclefyjnylbmqk3iiStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- prompt
- a mystical forest, black background, svg, design
- negative_prompt
- text, words, cropped
- number_of_images
- 2
- control_illusion_strength
- 1.35
{ "prompt": "a mystical forest, black background, svg, design", "negative_prompt": "text, words, cropped", "number_of_images": 2, "control_illusion_strength": 1.35 }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/replicate-tshirt using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/replicate-tshirt:cbd108aa8d25f65873969b6ce626c9f7c60187882bdc9f8ea210380d1e1f7da7", { input: { prompt: "a mystical forest, black background, svg, design", negative_prompt: "text, words, cropped", number_of_images: 2, control_illusion_strength: 1.35 } } ); 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/replicate-tshirt using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/replicate-tshirt:cbd108aa8d25f65873969b6ce626c9f7c60187882bdc9f8ea210380d1e1f7da7", input={ "prompt": "a mystical forest, black background, svg, design", "negative_prompt": "text, words, cropped", "number_of_images": 2, "control_illusion_strength": 1.35 } ) 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/replicate-tshirt 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": "cbd108aa8d25f65873969b6ce626c9f7c60187882bdc9f8ea210380d1e1f7da7", "input": { "prompt": "a mystical forest, black background, svg, design", "negative_prompt": "text, words, cropped", "number_of_images": 2, "control_illusion_strength": 1.35 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-03-15T13:46:55.624534Z", "created_at": "2024-03-15T13:46:35.779775Z", "data_removed": false, "error": null, "id": "crzbsxdb4bclefyjnylbmqk3ii", "input": { "prompt": "a mystical forest, black background, svg, design", "negative_prompt": "text, words, cropped", "number_of_images": 2, "control_illusion_strength": 1.35 }, "logs": "Random seed set to: 3156845569\nChecking inputs\n✅ /tmp/inputs/replicate-logo.png\n====================================\nRunning workflow\ngot prompt\nExecuting node 69, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 66, title: Apply ControlNet, class type: ControlNetApply\nExecuting node 2, title: KSampler (Efficient), class type: KSampler (Efficient)\nRequested to load ControlNet\nLoading 1 new model\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:14, 1.31it/s]\n 10%|█ | 2/20 [00:01<00:13, 1.30it/s]\n 15%|█▌ | 3/20 [00:02<00:12, 1.31it/s]\n 20%|██ | 4/20 [00:03<00:12, 1.32it/s]\n 25%|██▌ | 5/20 [00:03<00:11, 1.33it/s]\n 30%|███ | 6/20 [00:04<00:10, 1.32it/s]\n 35%|███▌ | 7/20 [00:05<00:09, 1.33it/s]\n 40%|████ | 8/20 [00:06<00:08, 1.33it/s]\n 45%|████▌ | 9/20 [00:06<00:08, 1.34it/s]\n 50%|█████ | 10/20 [00:07<00:07, 1.34it/s]\n 55%|█████▌ | 11/20 [00:08<00:06, 1.35it/s]\n 60%|██████ | 12/20 [00:08<00:05, 1.35it/s]\n 65%|██████▌ | 13/20 [00:09<00:05, 1.35it/s]\n 70%|███████ | 14/20 [00:10<00:04, 1.33it/s]\n 75%|███████▌ | 15/20 [00:11<00:03, 1.33it/s]\n 80%|████████ | 16/20 [00:12<00:03, 1.33it/s]\n 85%|████████▌ | 17/20 [00:12<00:02, 1.34it/s]\n 90%|█████████ | 18/20 [00:13<00:01, 1.35it/s]\n 95%|█████████▌| 19/20 [00:14<00:00, 1.39it/s]\n100%|██████████| 20/20 [00:14<00:00, 1.41it/s]\n100%|██████████| 20/20 [00:14<00:00, 1.35it/s]\nExecuting node 6, title: Save Image, class type: SaveImage\nPrompt executed in 16.73 seconds\noutputs: {'2': {'images': []}, '6': {'images': [{'filename': 'tshirt_00001_.png', 'subfolder': '', 'type': 'output'}, {'filename': 'tshirt_00002_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nContents of /tmp/outputs:\ntshirt_00001_.png\ntshirt_00002_.png\n[Path('/tmp/outputs/tshirt_00001_.png'), Path('/tmp/outputs/tshirt_00002_.png')]", "metrics": { "predict_time": 19.803061, "total_time": 19.844759 }, "output": [ "https://replicate.delivery/pbxt/3hofPHovWL36banK0H4rq50PiUtnZjBpN5HdM4ZGfkyNNggSA/tshirt_00001_.png", "https://replicate.delivery/pbxt/He9grTqSSn26VCTHSZeOxn1dXyiiDFZBJyMHxjB9HWHPNggSA/tshirt_00002_.png" ], "started_at": "2024-03-15T13:46:35.821473Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/crzbsxdb4bclefyjnylbmqk3ii", "cancel": "https://api.replicate.com/v1/predictions/crzbsxdb4bclefyjnylbmqk3ii/cancel" }, "version": "cbd108aa8d25f65873969b6ce626c9f7c60187882bdc9f8ea210380d1e1f7da7" }Generated inRandom seed set to: 3156845569 Checking inputs ✅ /tmp/inputs/replicate-logo.png ==================================== Running workflow got prompt Executing node 69, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode Executing node 66, title: Apply ControlNet, class type: ControlNetApply Executing node 2, title: KSampler (Efficient), class type: KSampler (Efficient) Requested to load ControlNet Loading 1 new model 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:14, 1.31it/s] 10%|█ | 2/20 [00:01<00:13, 1.30it/s] 15%|█▌ | 3/20 [00:02<00:12, 1.31it/s] 20%|██ | 4/20 [00:03<00:12, 1.32it/s] 25%|██▌ | 5/20 [00:03<00:11, 1.33it/s] 30%|███ | 6/20 [00:04<00:10, 1.32it/s] 35%|███▌ | 7/20 [00:05<00:09, 1.33it/s] 40%|████ | 8/20 [00:06<00:08, 1.33it/s] 45%|████▌ | 9/20 [00:06<00:08, 1.34it/s] 50%|█████ | 10/20 [00:07<00:07, 1.34it/s] 55%|█████▌ | 11/20 [00:08<00:06, 1.35it/s] 60%|██████ | 12/20 [00:08<00:05, 1.35it/s] 65%|██████▌ | 13/20 [00:09<00:05, 1.35it/s] 70%|███████ | 14/20 [00:10<00:04, 1.33it/s] 75%|███████▌ | 15/20 [00:11<00:03, 1.33it/s] 80%|████████ | 16/20 [00:12<00:03, 1.33it/s] 85%|████████▌ | 17/20 [00:12<00:02, 1.34it/s] 90%|█████████ | 18/20 [00:13<00:01, 1.35it/s] 95%|█████████▌| 19/20 [00:14<00:00, 1.39it/s] 100%|██████████| 20/20 [00:14<00:00, 1.41it/s] 100%|██████████| 20/20 [00:14<00:00, 1.35it/s] Executing node 6, title: Save Image, class type: SaveImage Prompt executed in 16.73 seconds outputs: {'2': {'images': []}, '6': {'images': [{'filename': 'tshirt_00001_.png', 'subfolder': '', 'type': 'output'}, {'filename': 'tshirt_00002_.png', 'subfolder': '', 'type': 'output'}]}} ==================================== Contents of /tmp/outputs: tshirt_00001_.png tshirt_00002_.png [Path('/tmp/outputs/tshirt_00001_.png'), Path('/tmp/outputs/tshirt_00002_.png')]Prediction
fofr/replicate-tshirt:cbd108aaIDtedzjbtbfxq3vh67p2h4hyq3oyStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- prompt
- sakura cherry blossom, beautiful, svg, design
- negative_prompt
- text, words, cropped
- number_of_images
- 2
- control_illusion_strength
- 1.35
{ "prompt": "sakura cherry blossom, beautiful, svg, design", "negative_prompt": "text, words, cropped", "number_of_images": 2, "control_illusion_strength": 1.35 }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/replicate-tshirt using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/replicate-tshirt:cbd108aa8d25f65873969b6ce626c9f7c60187882bdc9f8ea210380d1e1f7da7", { input: { prompt: "sakura cherry blossom, beautiful, svg, design", negative_prompt: "text, words, cropped", number_of_images: 2, control_illusion_strength: 1.35 } } ); 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/replicate-tshirt using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/replicate-tshirt:cbd108aa8d25f65873969b6ce626c9f7c60187882bdc9f8ea210380d1e1f7da7", input={ "prompt": "sakura cherry blossom, beautiful, svg, design", "negative_prompt": "text, words, cropped", "number_of_images": 2, "control_illusion_strength": 1.35 } ) 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/replicate-tshirt 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": "cbd108aa8d25f65873969b6ce626c9f7c60187882bdc9f8ea210380d1e1f7da7", "input": { "prompt": "sakura cherry blossom, beautiful, svg, design", "negative_prompt": "text, words, cropped", "number_of_images": 2, "control_illusion_strength": 1.35 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-03-15T14:37:02.442662Z", "created_at": "2024-03-15T14:36:42.833821Z", "data_removed": false, "error": null, "id": "tedzjbtbfxq3vh67p2h4hyq3oy", "input": { "prompt": "sakura cherry blossom, beautiful, svg, design", "negative_prompt": "text, words, cropped", "number_of_images": 2, "control_illusion_strength": 1.35 }, "logs": "Random seed set to: 2338037730\nChecking inputs\n✅ /tmp/inputs/replicate-logo.png\n====================================\nRunning workflow\ngot prompt\nExecuting node 69, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 66, title: Apply ControlNet, class type: ControlNetApply\nExecuting node 2, title: KSampler (Efficient), class type: KSampler (Efficient)\nRequested to load ControlNet\nLoading 1 new model\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:13, 1.41it/s]\n 10%|█ | 2/20 [00:01<00:13, 1.36it/s]\n 15%|█▌ | 3/20 [00:02<00:12, 1.36it/s]\n 20%|██ | 4/20 [00:02<00:11, 1.35it/s]\n 25%|██▌ | 5/20 [00:03<00:11, 1.36it/s]\n 30%|███ | 6/20 [00:04<00:10, 1.32it/s]\n 35%|███▌ | 7/20 [00:05<00:09, 1.33it/s]\n 40%|████ | 8/20 [00:05<00:08, 1.34it/s]\n 45%|████▌ | 9/20 [00:06<00:08, 1.34it/s]\n 50%|█████ | 10/20 [00:07<00:07, 1.34it/s]\n 55%|█████▌ | 11/20 [00:08<00:06, 1.35it/s]\n 60%|██████ | 12/20 [00:08<00:05, 1.35it/s]\n 65%|██████▌ | 13/20 [00:09<00:05, 1.36it/s]\n 70%|███████ | 14/20 [00:10<00:04, 1.36it/s]\n 75%|███████▌ | 15/20 [00:11<00:03, 1.36it/s]\n 80%|████████ | 16/20 [00:11<00:02, 1.35it/s]\n 85%|████████▌ | 17/20 [00:12<00:02, 1.36it/s]\n 90%|█████████ | 18/20 [00:13<00:01, 1.36it/s]\n 95%|█████████▌| 19/20 [00:13<00:00, 1.39it/s]\n100%|██████████| 20/20 [00:14<00:00, 1.41it/s]\n100%|██████████| 20/20 [00:14<00:00, 1.36it/s]\nExecuting node 6, title: Save Image, class type: SaveImage\nPrompt executed in 16.48 seconds\noutputs: {'2': {'images': []}, '6': {'images': [{'filename': 'tshirt_00001_.png', 'subfolder': '', 'type': 'output'}, {'filename': 'tshirt_00002_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nContents of /tmp/outputs:\ntshirt_00001_.png\ntshirt_00002_.png\n[Path('/tmp/outputs/tshirt_00001_.png'), Path('/tmp/outputs/tshirt_00002_.png')]", "metrics": { "predict_time": 19.564216, "total_time": 19.608841 }, "output": [ "https://replicate.delivery/pbxt/dbnmrfkBJGTgdSvaO47W94OPNDolYfhJTEtVKjMEoVLM8ggSA/tshirt_00001_.png", "https://replicate.delivery/pbxt/yMApnfxBmNTBRq0wrikfOVVZDmh8lgjdAOXldWlyDOyN8ggSA/tshirt_00002_.png" ], "started_at": "2024-03-15T14:36:42.878446Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/tedzjbtbfxq3vh67p2h4hyq3oy", "cancel": "https://api.replicate.com/v1/predictions/tedzjbtbfxq3vh67p2h4hyq3oy/cancel" }, "version": "cbd108aa8d25f65873969b6ce626c9f7c60187882bdc9f8ea210380d1e1f7da7" }Generated inRandom seed set to: 2338037730 Checking inputs ✅ /tmp/inputs/replicate-logo.png ==================================== Running workflow got prompt Executing node 69, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode Executing node 66, title: Apply ControlNet, class type: ControlNetApply Executing node 2, title: KSampler (Efficient), class type: KSampler (Efficient) Requested to load ControlNet Loading 1 new model 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:13, 1.41it/s] 10%|█ | 2/20 [00:01<00:13, 1.36it/s] 15%|█▌ | 3/20 [00:02<00:12, 1.36it/s] 20%|██ | 4/20 [00:02<00:11, 1.35it/s] 25%|██▌ | 5/20 [00:03<00:11, 1.36it/s] 30%|███ | 6/20 [00:04<00:10, 1.32it/s] 35%|███▌ | 7/20 [00:05<00:09, 1.33it/s] 40%|████ | 8/20 [00:05<00:08, 1.34it/s] 45%|████▌ | 9/20 [00:06<00:08, 1.34it/s] 50%|█████ | 10/20 [00:07<00:07, 1.34it/s] 55%|█████▌ | 11/20 [00:08<00:06, 1.35it/s] 60%|██████ | 12/20 [00:08<00:05, 1.35it/s] 65%|██████▌ | 13/20 [00:09<00:05, 1.36it/s] 70%|███████ | 14/20 [00:10<00:04, 1.36it/s] 75%|███████▌ | 15/20 [00:11<00:03, 1.36it/s] 80%|████████ | 16/20 [00:11<00:02, 1.35it/s] 85%|████████▌ | 17/20 [00:12<00:02, 1.36it/s] 90%|█████████ | 18/20 [00:13<00:01, 1.36it/s] 95%|█████████▌| 19/20 [00:13<00:00, 1.39it/s] 100%|██████████| 20/20 [00:14<00:00, 1.41it/s] 100%|██████████| 20/20 [00:14<00:00, 1.36it/s] Executing node 6, title: Save Image, class type: SaveImage Prompt executed in 16.48 seconds outputs: {'2': {'images': []}, '6': {'images': [{'filename': 'tshirt_00001_.png', 'subfolder': '', 'type': 'output'}, {'filename': 'tshirt_00002_.png', 'subfolder': '', 'type': 'output'}]}} ==================================== Contents of /tmp/outputs: tshirt_00001_.png tshirt_00002_.png [Path('/tmp/outputs/tshirt_00001_.png'), Path('/tmp/outputs/tshirt_00002_.png')]
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