buzzfeed / drake-test
- Public
- 59.3K runs
-
L40S
- SDXL fine-tune
Prediction
buzzfeed/drake-test:b6a84afde4dbde1a2a2dd55d51136cf058050d371e6428a10bbab8fc42c24f55ID37mdza3bdewyvsfh2i6zr55p7aStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- an elephant, an abstract drawing by a child in the style of TOK, black background, black and white crayon
- refine
- no_refiner
- scheduler
- K_EULER
- lora_scale
- 1
- num_outputs
- 1
- guidance_scale
- 13
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- blurry, low quality
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 1024, "height": 1024, "prompt": "an elephant, an abstract drawing by a child in the style of TOK, black background, black and white crayon", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 1, "num_outputs": 1, "guidance_scale": 13, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "blurry, low quality", "prompt_strength": 0.8, "num_inference_steps": 50 }
Install Replicate’s Node.js client library:npm install replicate
Import 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 buzzfeed/drake-test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "buzzfeed/drake-test:b6a84afde4dbde1a2a2dd55d51136cf058050d371e6428a10bbab8fc42c24f55", { input: { width: 1024, height: 1024, prompt: "an elephant, an abstract drawing by a child in the style of TOK, black background, black and white crayon", refine: "no_refiner", scheduler: "K_EULER", lora_scale: 1, num_outputs: 1, guidance_scale: 13, apply_watermark: false, high_noise_frac: 0.8, negative_prompt: "blurry, low quality", prompt_strength: 0.8, num_inference_steps: 50 } } ); // 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 replicate
Import the client:import replicate
Run buzzfeed/drake-test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "buzzfeed/drake-test:b6a84afde4dbde1a2a2dd55d51136cf058050d371e6428a10bbab8fc42c24f55", input={ "width": 1024, "height": 1024, "prompt": "an elephant, an abstract drawing by a child in the style of TOK, black background, black and white crayon", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 1, "num_outputs": 1, "guidance_scale": 13, "apply_watermark": False, "high_noise_frac": 0.8, "negative_prompt": "blurry, low quality", "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run buzzfeed/drake-test 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": "buzzfeed/drake-test:b6a84afde4dbde1a2a2dd55d51136cf058050d371e6428a10bbab8fc42c24f55", "input": { "width": 1024, "height": 1024, "prompt": "an elephant, an abstract drawing by a child in the style of TOK, black background, black and white crayon", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 1, "num_outputs": 1, "guidance_scale": 13, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "blurry, low quality", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-10-03T00:23:35.545345Z", "created_at": "2023-10-03T00:23:20.289541Z", "data_removed": false, "error": null, "id": "37mdza3bdewyvsfh2i6zr55p7a", "input": { "width": 1024, "height": 1024, "prompt": "an elephant, an abstract drawing by a child in the style of TOK, black background, black and white crayon", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 1, "num_outputs": 1, "guidance_scale": 13, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "blurry, low quality", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 6738\nskipping loading .. weights already loaded\nPrompt: an elephant, an abstract drawing by a child in the style of <s0><s1>, black background, black and white crayon\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:13, 3.66it/s]\n 4%|▍ | 2/50 [00:00<00:13, 3.66it/s]\n 6%|▌ | 3/50 [00:00<00:12, 3.65it/s]\n 8%|▊ | 4/50 [00:01<00:12, 3.64it/s]\n 10%|█ | 5/50 [00:01<00:12, 3.64it/s]\n 12%|█▏ | 6/50 [00:01<00:12, 3.64it/s]\n 14%|█▍ | 7/50 [00:01<00:11, 3.64it/s]\n 16%|█▌ | 8/50 [00:02<00:11, 3.64it/s]\n 18%|█▊ | 9/50 [00:02<00:11, 3.64it/s]\n 20%|██ | 10/50 [00:02<00:10, 3.64it/s]\n 22%|██▏ | 11/50 [00:03<00:10, 3.64it/s]\n 24%|██▍ | 12/50 [00:03<00:10, 3.63it/s]\n 26%|██▌ | 13/50 [00:03<00:10, 3.64it/s]\n 28%|██▊ | 14/50 [00:03<00:09, 3.64it/s]\n 30%|███ | 15/50 [00:04<00:09, 3.64it/s]\n 32%|███▏ | 16/50 [00:04<00:09, 3.65it/s]\n 34%|███▍ | 17/50 [00:04<00:09, 3.65it/s]\n 36%|███▌ | 18/50 [00:04<00:08, 3.65it/s]\n 38%|███▊ | 19/50 [00:05<00:08, 3.65it/s]\n 40%|████ | 20/50 [00:05<00:08, 3.65it/s]\n 42%|████▏ | 21/50 [00:05<00:07, 3.65it/s]\n 44%|████▍ | 22/50 [00:06<00:07, 3.65it/s]\n 46%|████▌ | 23/50 [00:06<00:07, 3.65it/s]\n 48%|████▊ | 24/50 [00:06<00:07, 3.65it/s]\n 50%|█████ | 25/50 [00:06<00:06, 3.65it/s]\n 52%|█████▏ | 26/50 [00:07<00:06, 3.65it/s]\n 54%|█████▍ | 27/50 [00:07<00:06, 3.65it/s]\n 56%|█████▌ | 28/50 [00:07<00:06, 3.65it/s]\n 58%|█████▊ | 29/50 [00:07<00:05, 3.65it/s]\n 60%|██████ | 30/50 [00:08<00:05, 3.65it/s]\n 62%|██████▏ | 31/50 [00:08<00:05, 3.65it/s]\n 64%|██████▍ | 32/50 [00:08<00:04, 3.65it/s]\n 66%|██████▌ | 33/50 [00:09<00:04, 3.65it/s]\n 68%|██████▊ | 34/50 [00:09<00:04, 3.65it/s]\n 70%|███████ | 35/50 [00:09<00:04, 3.65it/s]\n 72%|███████▏ | 36/50 [00:09<00:03, 3.65it/s]\n 74%|███████▍ | 37/50 [00:10<00:03, 3.65it/s]\n 76%|███████▌ | 38/50 [00:10<00:03, 3.65it/s]\n 78%|███████▊ | 39/50 [00:10<00:03, 3.65it/s]\n 80%|████████ | 40/50 [00:10<00:02, 3.65it/s]\n 82%|████████▏ | 41/50 [00:11<00:02, 3.65it/s]\n 84%|████████▍ | 42/50 [00:11<00:02, 3.65it/s]\n 86%|████████▌ | 43/50 [00:11<00:01, 3.64it/s]\n 88%|████████▊ | 44/50 [00:12<00:01, 3.65it/s]\n 90%|█████████ | 45/50 [00:12<00:01, 3.65it/s]\n 92%|█████████▏| 46/50 [00:12<00:01, 3.65it/s]\n 94%|█████████▍| 47/50 [00:12<00:00, 3.64it/s]\n 96%|█████████▌| 48/50 [00:13<00:00, 3.64it/s]\n 98%|█████████▊| 49/50 [00:13<00:00, 3.64it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.62it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.65it/s]", "metrics": { "predict_time": 14.978032, "total_time": 15.255804 }, "output": [ "https://replicate.delivery/pbxt/2Cr5NEva6vpiPNG3FQ0zPBgMJp69FGJzrNxK2ikj181BRkaE/out-0.png" ], "started_at": "2023-10-03T00:23:20.567313Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/37mdza3bdewyvsfh2i6zr55p7a", "cancel": "https://api.replicate.com/v1/predictions/37mdza3bdewyvsfh2i6zr55p7a/cancel" }, "version": "b6a84afde4dbde1a2a2dd55d51136cf058050d371e6428a10bbab8fc42c24f55" }
Generated inUsing seed: 6738 skipping loading .. weights already loaded Prompt: an elephant, an abstract drawing by a child in the style of <s0><s1>, black background, black and white crayon txt2img mode 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:13, 3.66it/s] 4%|▍ | 2/50 [00:00<00:13, 3.66it/s] 6%|▌ | 3/50 [00:00<00:12, 3.65it/s] 8%|▊ | 4/50 [00:01<00:12, 3.64it/s] 10%|█ | 5/50 [00:01<00:12, 3.64it/s] 12%|█▏ | 6/50 [00:01<00:12, 3.64it/s] 14%|█▍ | 7/50 [00:01<00:11, 3.64it/s] 16%|█▌ | 8/50 [00:02<00:11, 3.64it/s] 18%|█▊ | 9/50 [00:02<00:11, 3.64it/s] 20%|██ | 10/50 [00:02<00:10, 3.64it/s] 22%|██▏ | 11/50 [00:03<00:10, 3.64it/s] 24%|██▍ | 12/50 [00:03<00:10, 3.63it/s] 26%|██▌ | 13/50 [00:03<00:10, 3.64it/s] 28%|██▊ | 14/50 [00:03<00:09, 3.64it/s] 30%|███ | 15/50 [00:04<00:09, 3.64it/s] 32%|███▏ | 16/50 [00:04<00:09, 3.65it/s] 34%|███▍ | 17/50 [00:04<00:09, 3.65it/s] 36%|███▌ | 18/50 [00:04<00:08, 3.65it/s] 38%|███▊ | 19/50 [00:05<00:08, 3.65it/s] 40%|████ | 20/50 [00:05<00:08, 3.65it/s] 42%|████▏ | 21/50 [00:05<00:07, 3.65it/s] 44%|████▍ | 22/50 [00:06<00:07, 3.65it/s] 46%|████▌ | 23/50 [00:06<00:07, 3.65it/s] 48%|████▊ | 24/50 [00:06<00:07, 3.65it/s] 50%|█████ | 25/50 [00:06<00:06, 3.65it/s] 52%|█████▏ | 26/50 [00:07<00:06, 3.65it/s] 54%|█████▍ | 27/50 [00:07<00:06, 3.65it/s] 56%|█████▌ | 28/50 [00:07<00:06, 3.65it/s] 58%|█████▊ | 29/50 [00:07<00:05, 3.65it/s] 60%|██████ | 30/50 [00:08<00:05, 3.65it/s] 62%|██████▏ | 31/50 [00:08<00:05, 3.65it/s] 64%|██████▍ | 32/50 [00:08<00:04, 3.65it/s] 66%|██████▌ | 33/50 [00:09<00:04, 3.65it/s] 68%|██████▊ | 34/50 [00:09<00:04, 3.65it/s] 70%|███████ | 35/50 [00:09<00:04, 3.65it/s] 72%|███████▏ | 36/50 [00:09<00:03, 3.65it/s] 74%|███████▍ | 37/50 [00:10<00:03, 3.65it/s] 76%|███████▌ | 38/50 [00:10<00:03, 3.65it/s] 78%|███████▊ | 39/50 [00:10<00:03, 3.65it/s] 80%|████████ | 40/50 [00:10<00:02, 3.65it/s] 82%|████████▏ | 41/50 [00:11<00:02, 3.65it/s] 84%|████████▍ | 42/50 [00:11<00:02, 3.65it/s] 86%|████████▌ | 43/50 [00:11<00:01, 3.64it/s] 88%|████████▊ | 44/50 [00:12<00:01, 3.65it/s] 90%|█████████ | 45/50 [00:12<00:01, 3.65it/s] 92%|█████████▏| 46/50 [00:12<00:01, 3.65it/s] 94%|█████████▍| 47/50 [00:12<00:00, 3.64it/s] 96%|█████████▌| 48/50 [00:13<00:00, 3.64it/s] 98%|█████████▊| 49/50 [00:13<00:00, 3.64it/s] 100%|██████████| 50/50 [00:13<00:00, 3.62it/s] 100%|██████████| 50/50 [00:13<00:00, 3.65it/s]
Prediction
buzzfeed/drake-test:b869351031be5271f66728702663527bfc713908545acb741abe9d185f310e4cID7gplivlbspx75cciclgpzefukaStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- Taylor Swift, a child's drawing in the style of TOK, black background
- refine
- no_refiner
- scheduler
- K_EULER
- lora_scale
- 0.9
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 1024, "height": 1024, "prompt": "Taylor Swift, a child's drawing in the style of TOK, black background", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.9, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 }
Install Replicate’s Node.js client library:npm install replicate
Import 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 buzzfeed/drake-test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "buzzfeed/drake-test:b869351031be5271f66728702663527bfc713908545acb741abe9d185f310e4c", { input: { width: 1024, height: 1024, prompt: "Taylor Swift, a child's drawing in the style of TOK, black background", refine: "no_refiner", scheduler: "K_EULER", lora_scale: 0.9, num_outputs: 1, guidance_scale: 7.5, apply_watermark: false, high_noise_frac: 0.8, negative_prompt: "", prompt_strength: 0.8, num_inference_steps: 50 } } ); // 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 replicate
Import the client:import replicate
Run buzzfeed/drake-test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "buzzfeed/drake-test:b869351031be5271f66728702663527bfc713908545acb741abe9d185f310e4c", input={ "width": 1024, "height": 1024, "prompt": "Taylor Swift, a child's drawing in the style of TOK, black background", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.9, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": False, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run buzzfeed/drake-test 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": "buzzfeed/drake-test:b869351031be5271f66728702663527bfc713908545acb741abe9d185f310e4c", "input": { "width": 1024, "height": 1024, "prompt": "Taylor Swift, a child\'s drawing in the style of TOK, black background", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.9, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-09-28T23:29:36.365876Z", "created_at": "2023-09-28T23:29:20.597307Z", "data_removed": false, "error": null, "id": "7gplivlbspx75cciclgpzefuka", "input": { "width": 1024, "height": 1024, "prompt": "Taylor Swift, a child's drawing in the style of TOK, black background", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.9, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": null, "metrics": { "predict_time": 14.850444, "total_time": 15.768569 }, "output": [ "https://replicate.delivery/pbxt/3M5VX8JViZatD5k4CFg9fHpvcvS3TOk4XKWHUfpDS7Hfy3RjA/out-0.png" ], "started_at": "2023-09-28T23:29:21.515432Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/7gplivlbspx75cciclgpzefuka", "cancel": "https://api.replicate.com/v1/predictions/7gplivlbspx75cciclgpzefuka/cancel" }, "version": "b869351031be5271f66728702663527bfc713908545acb741abe9d185f310e4c" }
Generated inPrediction
buzzfeed/drake-test:b869351031be5271f66728702663527bfc713908545acb741abe9d185f310e4cIDtqh7nnlb6zwiyqzmthhqssbzdmStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- Pikachu, a child's drawing in the style of TOK, black background
- refine
- no_refiner
- scheduler
- K_EULER
- lora_scale
- 0.85
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- blurry, low quality
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 1024, "height": 1024, "prompt": "Pikachu, a child's drawing in the style of TOK, black background", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.85, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "blurry, low quality", "prompt_strength": 0.8, "num_inference_steps": 50 }
Install Replicate’s Node.js client library:npm install replicate
Import 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 buzzfeed/drake-test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "buzzfeed/drake-test:b869351031be5271f66728702663527bfc713908545acb741abe9d185f310e4c", { input: { width: 1024, height: 1024, prompt: "Pikachu, a child's drawing in the style of TOK, black background", refine: "no_refiner", scheduler: "K_EULER", lora_scale: 0.85, num_outputs: 1, guidance_scale: 7.5, apply_watermark: false, high_noise_frac: 0.8, negative_prompt: "blurry, low quality", prompt_strength: 0.8, num_inference_steps: 50 } } ); // 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 replicate
Import the client:import replicate
Run buzzfeed/drake-test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "buzzfeed/drake-test:b869351031be5271f66728702663527bfc713908545acb741abe9d185f310e4c", input={ "width": 1024, "height": 1024, "prompt": "Pikachu, a child's drawing in the style of TOK, black background", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.85, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": False, "high_noise_frac": 0.8, "negative_prompt": "blurry, low quality", "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run buzzfeed/drake-test 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": "buzzfeed/drake-test:b869351031be5271f66728702663527bfc713908545acb741abe9d185f310e4c", "input": { "width": 1024, "height": 1024, "prompt": "Pikachu, a child\'s drawing in the style of TOK, black background", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.85, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "blurry, low quality", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-09-28T23:31:40.392170Z", "created_at": "2023-09-28T23:31:23.294509Z", "data_removed": false, "error": null, "id": "tqh7nnlb6zwiyqzmthhqssbzdm", "input": { "width": 1024, "height": 1024, "prompt": "Pikachu, a child's drawing in the style of TOK, black background", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.85, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "blurry, low quality", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": null, "metrics": { "predict_time": 15.676142, "total_time": 17.097661 }, "output": [ "https://replicate.delivery/pbxt/vU8YMkPxon5hOZhT0E7LY3LP00uCBSFaJwDXu7m9kQ42ed0IA/out-0.png" ], "started_at": "2023-09-28T23:31:24.716028Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/tqh7nnlb6zwiyqzmthhqssbzdm", "cancel": "https://api.replicate.com/v1/predictions/tqh7nnlb6zwiyqzmthhqssbzdm/cancel" }, "version": "b869351031be5271f66728702663527bfc713908545acb741abe9d185f310e4c" }
Generated inPrediction
buzzfeed/drake-test:b869351031be5271f66728702663527bfc713908545acb741abe9d185f310e4cIDrlpqcmtbyxykgrq4bdpinftcbmStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- Harry Potter portrait, a child's drawing in the style of TOK, black background
- refine
- no_refiner
- scheduler
- K_EULER
- lora_scale
- 0.85
- num_outputs
- 1
- guidance_scale
- 13
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- blurry, low quality
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 1024, "height": 1024, "prompt": "Harry Potter portrait, a child's drawing in the style of TOK, black background", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.85, "num_outputs": 1, "guidance_scale": 13, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "blurry, low quality", "prompt_strength": 0.8, "num_inference_steps": 50 }
Install Replicate’s Node.js client library:npm install replicate
Import 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 buzzfeed/drake-test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "buzzfeed/drake-test:b869351031be5271f66728702663527bfc713908545acb741abe9d185f310e4c", { input: { width: 1024, height: 1024, prompt: "Harry Potter portrait, a child's drawing in the style of TOK, black background", refine: "no_refiner", scheduler: "K_EULER", lora_scale: 0.85, num_outputs: 1, guidance_scale: 13, apply_watermark: false, high_noise_frac: 0.8, negative_prompt: "blurry, low quality", prompt_strength: 0.8, num_inference_steps: 50 } } ); // 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 replicate
Import the client:import replicate
Run buzzfeed/drake-test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "buzzfeed/drake-test:b869351031be5271f66728702663527bfc713908545acb741abe9d185f310e4c", input={ "width": 1024, "height": 1024, "prompt": "Harry Potter portrait, a child's drawing in the style of TOK, black background", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.85, "num_outputs": 1, "guidance_scale": 13, "apply_watermark": False, "high_noise_frac": 0.8, "negative_prompt": "blurry, low quality", "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run buzzfeed/drake-test 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": "buzzfeed/drake-test:b869351031be5271f66728702663527bfc713908545acb741abe9d185f310e4c", "input": { "width": 1024, "height": 1024, "prompt": "Harry Potter portrait, a child\'s drawing in the style of TOK, black background", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.85, "num_outputs": 1, "guidance_scale": 13, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "blurry, low quality", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-09-28T23:41:35.282355Z", "created_at": "2023-09-28T23:41:19.270698Z", "data_removed": false, "error": null, "id": "rlpqcmtbyxykgrq4bdpinftcbm", "input": { "width": 1024, "height": 1024, "prompt": "Harry Potter portrait, a child's drawing in the style of TOK, black background", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.85, "num_outputs": 1, "guidance_scale": 13, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "blurry, low quality", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": null, "metrics": { "predict_time": 15.718967, "total_time": 16.011657 }, "output": [ "https://replicate.delivery/pbxt/e1inNfEgyjtXIkferXnrRyB0e7M8BYZ6b1frfmjFMGefdJ4RjA/out-0.png" ], "started_at": "2023-09-28T23:41:19.563388Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/rlpqcmtbyxykgrq4bdpinftcbm", "cancel": "https://api.replicate.com/v1/predictions/rlpqcmtbyxykgrq4bdpinftcbm/cancel" }, "version": "b869351031be5271f66728702663527bfc713908545acb741abe9d185f310e4c" }
Generated in
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