dhanushreddy291
/
forge-saga-landscape
ForgeSaga Landscape
Prediction
dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aacIDakfmeqdbvy4h32uali74jf5ryqStatusSucceededSourceWebHardwareA40Total durationCreatedInput
- seed
- 0
- steps
- 31
- width
- 1024
- height
- 768
- prompt
- a beautiful pyramid, beautiful columns, high res
- guidance
- 10
- scheduler
- EulerA
- num_outputs
- 1
- negative_prompt
- (worst quality, normal quality, low quality, 3D, realistic:1.6)
{ "seed": 0, "steps": 31, "width": 1024, "height": 768, "prompt": "a beautiful pyramid, beautiful columns, high res", "guidance": 10, "scheduler": "EulerA", "num_outputs": 1, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run dhanushreddy291/forge-saga-landscape using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac", { input: { seed: 0, steps: 31, width: 1024, height: 768, prompt: "a beautiful pyramid, beautiful columns, high res", guidance: 10, scheduler: "EulerA", num_outputs: 1, negative_prompt: "(worst quality, normal quality, low quality, 3D, realistic:1.6)" } } ); // 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 dhanushreddy291/forge-saga-landscape using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac", input={ "seed": 0, "steps": 31, "width": 1024, "height": 768, "prompt": "a beautiful pyramid, beautiful columns, high res", "guidance": 10, "scheduler": "EulerA", "num_outputs": 1, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run dhanushreddy291/forge-saga-landscape 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": "dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac", "input": { "seed": 0, "steps": 31, "width": 1024, "height": 768, "prompt": "a beautiful pyramid, beautiful columns, high res", "guidance": 10, "scheduler": "EulerA", "num_outputs": 1, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-01-17T17:42:01.093081Z", "created_at": "2024-01-17T17:41:55.052341Z", "data_removed": false, "error": null, "id": "akfmeqdbvy4h32uali74jf5ryq", "input": { "seed": 0, "steps": 31, "width": 1024, "height": 768, "prompt": "a beautiful pyramid, beautiful columns, high res", "guidance": 10, "scheduler": "EulerA", "num_outputs": 1, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" }, "logs": "0%| | 0/31 [00:00<?, ?it/s]\n 6%|▋ | 2/31 [00:00<00:02, 11.37it/s]\n 13%|█▎ | 4/31 [00:00<00:03, 8.39it/s]\n 16%|█▌ | 5/31 [00:00<00:03, 7.96it/s]\n 19%|█▉ | 6/31 [00:00<00:03, 7.68it/s]\n 23%|██▎ | 7/31 [00:00<00:03, 7.49it/s]\n 26%|██▌ | 8/31 [00:01<00:03, 7.35it/s]\n 29%|██▉ | 9/31 [00:01<00:03, 7.27it/s]\n 32%|███▏ | 10/31 [00:01<00:02, 7.21it/s]\n 35%|███▌ | 11/31 [00:01<00:02, 7.17it/s]\n 39%|███▊ | 12/31 [00:01<00:02, 7.14it/s]\n 42%|████▏ | 13/31 [00:01<00:02, 7.12it/s]\n 45%|████▌ | 14/31 [00:01<00:02, 7.10it/s]\n 48%|████▊ | 15/31 [00:02<00:02, 7.09it/s]\n 52%|█████▏ | 16/31 [00:02<00:02, 7.08it/s]\n 55%|█████▍ | 17/31 [00:02<00:01, 7.08it/s]\n 58%|█████▊ | 18/31 [00:02<00:01, 7.07it/s]\n 61%|██████▏ | 19/31 [00:02<00:01, 7.08it/s]\n 65%|██████▍ | 20/31 [00:02<00:01, 7.08it/s]\n 68%|██████▊ | 21/31 [00:02<00:01, 7.08it/s]\n 71%|███████ | 22/31 [00:03<00:01, 7.07it/s]\n 74%|███████▍ | 23/31 [00:03<00:01, 7.07it/s]\n 77%|███████▋ | 24/31 [00:03<00:00, 7.07it/s]\n 81%|████████ | 25/31 [00:03<00:00, 7.08it/s]\n 84%|████████▍ | 26/31 [00:03<00:00, 7.08it/s]\n 87%|████████▋ | 27/31 [00:03<00:00, 7.07it/s]\n 90%|█████████ | 28/31 [00:03<00:00, 7.07it/s]\n 94%|█████████▎| 29/31 [00:03<00:00, 7.06it/s]\n 97%|█████████▋| 30/31 [00:04<00:00, 7.06it/s]\n100%|██████████| 31/31 [00:04<00:00, 7.06it/s]\n100%|██████████| 31/31 [00:04<00:00, 7.25it/s]", "metrics": { "predict_time": 5.994731, "total_time": 6.04074 }, "output": [ "https://replicate.delivery/pbxt/87DSmgVvfS0BTC3IWxgPEUUSYfnsNUrUQnUBqb0mah2oNcNSA/out-0.png" ], "started_at": "2024-01-17T17:41:55.098350Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/akfmeqdbvy4h32uali74jf5ryq", "cancel": "https://api.replicate.com/v1/predictions/akfmeqdbvy4h32uali74jf5ryq/cancel" }, "version": "543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac" }
Generated in0%| | 0/31 [00:00<?, ?it/s] 6%|▋ | 2/31 [00:00<00:02, 11.37it/s] 13%|█▎ | 4/31 [00:00<00:03, 8.39it/s] 16%|█▌ | 5/31 [00:00<00:03, 7.96it/s] 19%|█▉ | 6/31 [00:00<00:03, 7.68it/s] 23%|██▎ | 7/31 [00:00<00:03, 7.49it/s] 26%|██▌ | 8/31 [00:01<00:03, 7.35it/s] 29%|██▉ | 9/31 [00:01<00:03, 7.27it/s] 32%|███▏ | 10/31 [00:01<00:02, 7.21it/s] 35%|███▌ | 11/31 [00:01<00:02, 7.17it/s] 39%|███▊ | 12/31 [00:01<00:02, 7.14it/s] 42%|████▏ | 13/31 [00:01<00:02, 7.12it/s] 45%|████▌ | 14/31 [00:01<00:02, 7.10it/s] 48%|████▊ | 15/31 [00:02<00:02, 7.09it/s] 52%|█████▏ | 16/31 [00:02<00:02, 7.08it/s] 55%|█████▍ | 17/31 [00:02<00:01, 7.08it/s] 58%|█████▊ | 18/31 [00:02<00:01, 7.07it/s] 61%|██████▏ | 19/31 [00:02<00:01, 7.08it/s] 65%|██████▍ | 20/31 [00:02<00:01, 7.08it/s] 68%|██████▊ | 21/31 [00:02<00:01, 7.08it/s] 71%|███████ | 22/31 [00:03<00:01, 7.07it/s] 74%|███████▍ | 23/31 [00:03<00:01, 7.07it/s] 77%|███████▋ | 24/31 [00:03<00:00, 7.07it/s] 81%|████████ | 25/31 [00:03<00:00, 7.08it/s] 84%|████████▍ | 26/31 [00:03<00:00, 7.08it/s] 87%|████████▋ | 27/31 [00:03<00:00, 7.07it/s] 90%|█████████ | 28/31 [00:03<00:00, 7.07it/s] 94%|█████████▎| 29/31 [00:03<00:00, 7.06it/s] 97%|█████████▋| 30/31 [00:04<00:00, 7.06it/s] 100%|██████████| 31/31 [00:04<00:00, 7.06it/s] 100%|██████████| 31/31 [00:04<00:00, 7.25it/s]
Prediction
dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aacID3v7e54lbp3nqetpolehtvbt7euStatusSucceededSourceWebHardwareA40Total durationCreatedInput
- seed
- 0
- steps
- 31
- width
- 1024
- height
- 768
- prompt
- a beautiful pyramid in a forest, high res
- guidance
- 10
- scheduler
- EulerA
- num_outputs
- 2
- negative_prompt
- (worst quality, normal quality, low quality, 3D, realistic:1.6)
{ "seed": 0, "steps": 31, "width": 1024, "height": 768, "prompt": "a beautiful pyramid in a forest, high res", "guidance": 10, "scheduler": "EulerA", "num_outputs": 2, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run dhanushreddy291/forge-saga-landscape using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac", { input: { seed: 0, steps: 31, width: 1024, height: 768, prompt: "a beautiful pyramid in a forest, high res", guidance: 10, scheduler: "EulerA", num_outputs: 2, negative_prompt: "(worst quality, normal quality, low quality, 3D, realistic:1.6)" } } ); // 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 dhanushreddy291/forge-saga-landscape using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac", input={ "seed": 0, "steps": 31, "width": 1024, "height": 768, "prompt": "a beautiful pyramid in a forest, high res", "guidance": 10, "scheduler": "EulerA", "num_outputs": 2, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run dhanushreddy291/forge-saga-landscape 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": "dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac", "input": { "seed": 0, "steps": 31, "width": 1024, "height": 768, "prompt": "a beautiful pyramid in a forest, high res", "guidance": 10, "scheduler": "EulerA", "num_outputs": 2, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-01-17T17:42:50.755790Z", "created_at": "2024-01-17T17:42:39.138701Z", "data_removed": false, "error": null, "id": "3v7e54lbp3nqetpolehtvbt7eu", "input": { "seed": 0, "steps": 31, "width": 1024, "height": 768, "prompt": "a beautiful pyramid in a forest, high res", "guidance": 10, "scheduler": "EulerA", "num_outputs": 2, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" }, "logs": "0%| | 0/31 [00:00<?, ?it/s]\n 3%|▎ | 1/31 [00:00<00:03, 8.93it/s]\n 6%|▋ | 2/31 [00:00<00:05, 5.70it/s]\n 10%|▉ | 3/31 [00:00<00:06, 4.61it/s]\n 13%|█▎ | 4/31 [00:00<00:06, 4.24it/s]\n 16%|█▌ | 5/31 [00:01<00:06, 4.04it/s]\n 19%|█▉ | 6/31 [00:01<00:06, 3.94it/s]\n 23%|██▎ | 7/31 [00:01<00:06, 3.88it/s]\n 26%|██▌ | 8/31 [00:01<00:05, 3.84it/s]\n 29%|██▉ | 9/31 [00:02<00:05, 3.81it/s]\n 32%|███▏ | 10/31 [00:02<00:05, 3.80it/s]\n 35%|███▌ | 11/31 [00:02<00:05, 3.78it/s]\n 39%|███▊ | 12/31 [00:02<00:05, 3.77it/s]\n 42%|████▏ | 13/31 [00:03<00:04, 3.76it/s]\n 45%|████▌ | 14/31 [00:03<00:04, 3.75it/s]\n 48%|████▊ | 15/31 [00:03<00:04, 3.75it/s]\n 52%|█████▏ | 16/31 [00:04<00:04, 3.74it/s]\n 55%|█████▍ | 17/31 [00:04<00:03, 3.74it/s]\n 58%|█████▊ | 18/31 [00:04<00:03, 3.74it/s]\n 61%|██████▏ | 19/31 [00:04<00:03, 3.74it/s]\n 65%|██████▍ | 20/31 [00:05<00:02, 3.74it/s]\n 68%|██████▊ | 21/31 [00:05<00:02, 3.74it/s]\n 71%|███████ | 22/31 [00:05<00:02, 3.73it/s]\n 74%|███████▍ | 23/31 [00:05<00:02, 3.73it/s]\n 77%|███████▋ | 24/31 [00:06<00:01, 3.73it/s]\n 81%|████████ | 25/31 [00:06<00:01, 3.73it/s]\n 84%|████████▍ | 26/31 [00:06<00:01, 3.73it/s]\n 87%|████████▋ | 27/31 [00:07<00:01, 3.72it/s]\n 90%|█████████ | 28/31 [00:07<00:00, 3.72it/s]\n 94%|█████████▎| 29/31 [00:07<00:00, 3.72it/s]\n 97%|█████████▋| 30/31 [00:07<00:00, 3.72it/s]\n100%|██████████| 31/31 [00:08<00:00, 3.72it/s]\n100%|██████████| 31/31 [00:08<00:00, 3.83it/s]", "metrics": { "predict_time": 11.578503, "total_time": 11.617089 }, "output": [ "https://replicate.delivery/pbxt/9NS6DzfnEqx2SaK0jtkPvfI3JV9M2FLUBVjacH3QmiqYOcNSA/out-0.png", "https://replicate.delivery/pbxt/vi9ZAswueb03OykiiaxfSCJ3XU2tnjDElgUrTx07fqg0c4akA/out-1.png" ], "started_at": "2024-01-17T17:42:39.177287Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/3v7e54lbp3nqetpolehtvbt7eu", "cancel": "https://api.replicate.com/v1/predictions/3v7e54lbp3nqetpolehtvbt7eu/cancel" }, "version": "543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac" }
Generated in0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:00<00:03, 8.93it/s] 6%|▋ | 2/31 [00:00<00:05, 5.70it/s] 10%|▉ | 3/31 [00:00<00:06, 4.61it/s] 13%|█▎ | 4/31 [00:00<00:06, 4.24it/s] 16%|█▌ | 5/31 [00:01<00:06, 4.04it/s] 19%|█▉ | 6/31 [00:01<00:06, 3.94it/s] 23%|██▎ | 7/31 [00:01<00:06, 3.88it/s] 26%|██▌ | 8/31 [00:01<00:05, 3.84it/s] 29%|██▉ | 9/31 [00:02<00:05, 3.81it/s] 32%|███▏ | 10/31 [00:02<00:05, 3.80it/s] 35%|███▌ | 11/31 [00:02<00:05, 3.78it/s] 39%|███▊ | 12/31 [00:02<00:05, 3.77it/s] 42%|████▏ | 13/31 [00:03<00:04, 3.76it/s] 45%|████▌ | 14/31 [00:03<00:04, 3.75it/s] 48%|████▊ | 15/31 [00:03<00:04, 3.75it/s] 52%|█████▏ | 16/31 [00:04<00:04, 3.74it/s] 55%|█████▍ | 17/31 [00:04<00:03, 3.74it/s] 58%|█████▊ | 18/31 [00:04<00:03, 3.74it/s] 61%|██████▏ | 19/31 [00:04<00:03, 3.74it/s] 65%|██████▍ | 20/31 [00:05<00:02, 3.74it/s] 68%|██████▊ | 21/31 [00:05<00:02, 3.74it/s] 71%|███████ | 22/31 [00:05<00:02, 3.73it/s] 74%|███████▍ | 23/31 [00:05<00:02, 3.73it/s] 77%|███████▋ | 24/31 [00:06<00:01, 3.73it/s] 81%|████████ | 25/31 [00:06<00:01, 3.73it/s] 84%|████████▍ | 26/31 [00:06<00:01, 3.73it/s] 87%|████████▋ | 27/31 [00:07<00:01, 3.72it/s] 90%|█████████ | 28/31 [00:07<00:00, 3.72it/s] 94%|█████████▎| 29/31 [00:07<00:00, 3.72it/s] 97%|█████████▋| 30/31 [00:07<00:00, 3.72it/s] 100%|██████████| 31/31 [00:08<00:00, 3.72it/s] 100%|██████████| 31/31 [00:08<00:00, 3.83it/s]
Prediction
dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aacIDan4ffjlbzo65hwyz75d6bzl2xeStatusSucceededSourceWebHardwareA40Total durationCreatedInput
- seed
- 0
- steps
- 20
- width
- 1024
- height
- 768
- prompt
- modern apartment building on a mountain with many pine trees
- guidance
- 10
- scheduler
- EulerA
- num_outputs
- 1
- negative_prompt
- (worst quality, normal quality, low quality, 3D, realistic:1.6)
{ "seed": 0, "steps": 20, "width": 1024, "height": 768, "prompt": "modern apartment building on a mountain with many pine trees", "guidance": 10, "scheduler": "EulerA", "num_outputs": 1, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run dhanushreddy291/forge-saga-landscape using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac", { input: { seed: 0, steps: 20, width: 1024, height: 768, prompt: "modern apartment building on a mountain with many pine trees", guidance: 10, scheduler: "EulerA", num_outputs: 1, negative_prompt: "(worst quality, normal quality, low quality, 3D, realistic:1.6)" } } ); // 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 dhanushreddy291/forge-saga-landscape using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac", input={ "seed": 0, "steps": 20, "width": 1024, "height": 768, "prompt": "modern apartment building on a mountain with many pine trees", "guidance": 10, "scheduler": "EulerA", "num_outputs": 1, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run dhanushreddy291/forge-saga-landscape 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": "dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac", "input": { "seed": 0, "steps": 20, "width": 1024, "height": 768, "prompt": "modern apartment building on a mountain with many pine trees", "guidance": 10, "scheduler": "EulerA", "num_outputs": 1, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-01-17T17:50:17.991696Z", "created_at": "2024-01-17T17:50:13.664479Z", "data_removed": false, "error": null, "id": "an4ffjlbzo65hwyz75d6bzl2xe", "input": { "seed": 0, "steps": 20, "width": 1024, "height": 768, "prompt": "modern apartment building on a mountain with many pine trees", "guidance": 10, "scheduler": "EulerA", "num_outputs": 1, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" }, "logs": "0%| | 0/20 [00:00<?, ?it/s]\n 10%|█ | 2/20 [00:00<00:01, 11.53it/s]\n 20%|██ | 4/20 [00:00<00:01, 8.61it/s]\n 25%|██▌ | 5/20 [00:00<00:01, 8.18it/s]\n 30%|███ | 6/20 [00:00<00:01, 7.88it/s]\n 35%|███▌ | 7/20 [00:00<00:01, 7.70it/s]\n 40%|████ | 8/20 [00:00<00:01, 7.57it/s]\n 45%|████▌ | 9/20 [00:01<00:01, 7.48it/s]\n 50%|█████ | 10/20 [00:01<00:01, 7.42it/s]\n 55%|█████▌ | 11/20 [00:01<00:01, 7.38it/s]\n 60%|██████ | 12/20 [00:01<00:01, 7.34it/s]\n 65%|██████▌ | 13/20 [00:01<00:00, 7.31it/s]\n 70%|███████ | 14/20 [00:01<00:00, 7.30it/s]\n 75%|███████▌ | 15/20 [00:01<00:00, 7.29it/s]\n 80%|████████ | 16/20 [00:02<00:00, 7.28it/s]\n 85%|████████▌ | 17/20 [00:02<00:00, 7.27it/s]\n 90%|█████████ | 18/20 [00:02<00:00, 7.28it/s]\n 95%|█████████▌| 19/20 [00:02<00:00, 7.28it/s]\n100%|██████████| 20/20 [00:02<00:00, 7.27it/s]\n100%|██████████| 20/20 [00:02<00:00, 7.55it/s]", "metrics": { "predict_time": 4.290799, "total_time": 4.327217 }, "output": [ "https://replicate.delivery/pbxt/rMDei25InyztISxvZCztWpB9wQUGuKXBsAgsoMcwGfJZVcNSA/out-0.png" ], "started_at": "2024-01-17T17:50:13.700897Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/an4ffjlbzo65hwyz75d6bzl2xe", "cancel": "https://api.replicate.com/v1/predictions/an4ffjlbzo65hwyz75d6bzl2xe/cancel" }, "version": "543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac" }
Generated in0%| | 0/20 [00:00<?, ?it/s] 10%|█ | 2/20 [00:00<00:01, 11.53it/s] 20%|██ | 4/20 [00:00<00:01, 8.61it/s] 25%|██▌ | 5/20 [00:00<00:01, 8.18it/s] 30%|███ | 6/20 [00:00<00:01, 7.88it/s] 35%|███▌ | 7/20 [00:00<00:01, 7.70it/s] 40%|████ | 8/20 [00:00<00:01, 7.57it/s] 45%|████▌ | 9/20 [00:01<00:01, 7.48it/s] 50%|█████ | 10/20 [00:01<00:01, 7.42it/s] 55%|█████▌ | 11/20 [00:01<00:01, 7.38it/s] 60%|██████ | 12/20 [00:01<00:01, 7.34it/s] 65%|██████▌ | 13/20 [00:01<00:00, 7.31it/s] 70%|███████ | 14/20 [00:01<00:00, 7.30it/s] 75%|███████▌ | 15/20 [00:01<00:00, 7.29it/s] 80%|████████ | 16/20 [00:02<00:00, 7.28it/s] 85%|████████▌ | 17/20 [00:02<00:00, 7.27it/s] 90%|█████████ | 18/20 [00:02<00:00, 7.28it/s] 95%|█████████▌| 19/20 [00:02<00:00, 7.28it/s] 100%|██████████| 20/20 [00:02<00:00, 7.27it/s] 100%|██████████| 20/20 [00:02<00:00, 7.55it/s]
Prediction
dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aacIDe5p454lbjvt4spwe5dkpdnzgxmStatusSucceededSourceWebHardwareA40Total durationCreatedInput
- seed
- 0
- steps
- 20
- width
- 1024
- height
- 768
- prompt
- A peaceful and serene village in mountains, akira toriyama, james gilleard, genshin impact, trending pixiv fanbox, acrylic palette knife, 4k, vibrant colors, devinart, trending on artstation, low details
- guidance
- 10
- scheduler
- EulerA
- num_outputs
- 1
- negative_prompt
- (worst quality, normal quality, low quality, 3D, realistic:1.6)
{ "seed": 0, "steps": 20, "width": 1024, "height": 768, "prompt": "A peaceful and serene village in mountains, akira toriyama, james gilleard, genshin impact, trending pixiv fanbox, acrylic palette knife, 4k, vibrant colors, devinart, trending on artstation, low details", "guidance": 10, "scheduler": "EulerA", "num_outputs": 1, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run dhanushreddy291/forge-saga-landscape using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac", { input: { seed: 0, steps: 20, width: 1024, height: 768, prompt: "A peaceful and serene village in mountains, akira toriyama, james gilleard, genshin impact, trending pixiv fanbox, acrylic palette knife, 4k, vibrant colors, devinart, trending on artstation, low details", guidance: 10, scheduler: "EulerA", num_outputs: 1, negative_prompt: "(worst quality, normal quality, low quality, 3D, realistic:1.6)" } } ); // 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 dhanushreddy291/forge-saga-landscape using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac", input={ "seed": 0, "steps": 20, "width": 1024, "height": 768, "prompt": "A peaceful and serene village in mountains, akira toriyama, james gilleard, genshin impact, trending pixiv fanbox, acrylic palette knife, 4k, vibrant colors, devinart, trending on artstation, low details", "guidance": 10, "scheduler": "EulerA", "num_outputs": 1, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run dhanushreddy291/forge-saga-landscape 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": "dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac", "input": { "seed": 0, "steps": 20, "width": 1024, "height": 768, "prompt": "A peaceful and serene village in mountains, akira toriyama, james gilleard, genshin impact, trending pixiv fanbox, acrylic palette knife, 4k, vibrant colors, devinart, trending on artstation, low details", "guidance": 10, "scheduler": "EulerA", "num_outputs": 1, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-01-17T17:50:59.792293Z", "created_at": "2024-01-17T17:50:55.442787Z", "data_removed": false, "error": null, "id": "e5p454lbjvt4spwe5dkpdnzgxm", "input": { "seed": 0, "steps": 20, "width": 1024, "height": 768, "prompt": "A peaceful and serene village in mountains, akira toriyama, james gilleard, genshin impact, trending pixiv fanbox, acrylic palette knife, 4k, vibrant colors, devinart, trending on artstation, low details", "guidance": 10, "scheduler": "EulerA", "num_outputs": 1, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" }, "logs": "0%| | 0/20 [00:00<?, ?it/s]\n 10%|█ | 2/20 [00:00<00:01, 11.68it/s]\n 20%|██ | 4/20 [00:00<00:01, 8.65it/s]\n 25%|██▌ | 5/20 [00:00<00:01, 8.19it/s]\n 30%|███ | 6/20 [00:00<00:01, 7.89it/s]\n 35%|███▌ | 7/20 [00:00<00:01, 7.68it/s]\n 40%|████ | 8/20 [00:00<00:01, 7.53it/s]\n 45%|████▌ | 9/20 [00:01<00:01, 7.44it/s]\n 50%|█████ | 10/20 [00:01<00:01, 7.39it/s]\n 55%|█████▌ | 11/20 [00:01<00:01, 7.35it/s]\n 60%|██████ | 12/20 [00:01<00:01, 7.31it/s]\n 65%|██████▌ | 13/20 [00:01<00:00, 7.29it/s]\n 70%|███████ | 14/20 [00:01<00:00, 7.26it/s]\n 75%|███████▌ | 15/20 [00:01<00:00, 7.24it/s]\n 80%|████████ | 16/20 [00:02<00:00, 7.25it/s]\n 85%|████████▌ | 17/20 [00:02<00:00, 7.24it/s]\n 90%|█████████ | 18/20 [00:02<00:00, 7.24it/s]\n 95%|█████████▌| 19/20 [00:02<00:00, 7.24it/s]\n100%|██████████| 20/20 [00:02<00:00, 7.23it/s]\n100%|██████████| 20/20 [00:02<00:00, 7.53it/s]", "metrics": { "predict_time": 4.315894, "total_time": 4.349506 }, "output": [ "https://replicate.delivery/pbxt/IN8UY4oeawQELq5VXkVLeqh3VZulvpHfVhCCa5REz7eKYx1IB/out-0.png" ], "started_at": "2024-01-17T17:50:55.476399Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/e5p454lbjvt4spwe5dkpdnzgxm", "cancel": "https://api.replicate.com/v1/predictions/e5p454lbjvt4spwe5dkpdnzgxm/cancel" }, "version": "543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac" }
Generated in0%| | 0/20 [00:00<?, ?it/s] 10%|█ | 2/20 [00:00<00:01, 11.68it/s] 20%|██ | 4/20 [00:00<00:01, 8.65it/s] 25%|██▌ | 5/20 [00:00<00:01, 8.19it/s] 30%|███ | 6/20 [00:00<00:01, 7.89it/s] 35%|███▌ | 7/20 [00:00<00:01, 7.68it/s] 40%|████ | 8/20 [00:00<00:01, 7.53it/s] 45%|████▌ | 9/20 [00:01<00:01, 7.44it/s] 50%|█████ | 10/20 [00:01<00:01, 7.39it/s] 55%|█████▌ | 11/20 [00:01<00:01, 7.35it/s] 60%|██████ | 12/20 [00:01<00:01, 7.31it/s] 65%|██████▌ | 13/20 [00:01<00:00, 7.29it/s] 70%|███████ | 14/20 [00:01<00:00, 7.26it/s] 75%|███████▌ | 15/20 [00:01<00:00, 7.24it/s] 80%|████████ | 16/20 [00:02<00:00, 7.25it/s] 85%|████████▌ | 17/20 [00:02<00:00, 7.24it/s] 90%|█████████ | 18/20 [00:02<00:00, 7.24it/s] 95%|█████████▌| 19/20 [00:02<00:00, 7.24it/s] 100%|██████████| 20/20 [00:02<00:00, 7.23it/s] 100%|██████████| 20/20 [00:02<00:00, 7.53it/s]
Prediction
dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aacIDbhpsscdbelx62oca2ut7ms37diStatusSucceededSourceWebHardwareA40Total durationCreatedInput
- seed
- 0
- steps
- 20
- width
- 1024
- height
- 768
- prompt
- A peaceful and serene village in mountains, akira toriyama, james gilleard, genshin impact, trending pixiv fanbox, acrylic palette knife, 4k, vibrant colors, devinart, trending on artstation, low details
- guidance
- 10
- scheduler
- EulerA
- num_outputs
- 1
- negative_prompt
- (worst quality, normal quality, low quality, 3D, realistic:1.6)
{ "seed": 0, "steps": 20, "width": 1024, "height": 768, "prompt": "A peaceful and serene village in mountains, akira toriyama, james gilleard, genshin impact, trending pixiv fanbox, acrylic palette knife, 4k, vibrant colors, devinart, trending on artstation, low details", "guidance": 10, "scheduler": "EulerA", "num_outputs": 1, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run dhanushreddy291/forge-saga-landscape using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac", { input: { seed: 0, steps: 20, width: 1024, height: 768, prompt: "A peaceful and serene village in mountains, akira toriyama, james gilleard, genshin impact, trending pixiv fanbox, acrylic palette knife, 4k, vibrant colors, devinart, trending on artstation, low details", guidance: 10, scheduler: "EulerA", num_outputs: 1, negative_prompt: "(worst quality, normal quality, low quality, 3D, realistic:1.6)" } } ); // 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 dhanushreddy291/forge-saga-landscape using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac", input={ "seed": 0, "steps": 20, "width": 1024, "height": 768, "prompt": "A peaceful and serene village in mountains, akira toriyama, james gilleard, genshin impact, trending pixiv fanbox, acrylic palette knife, 4k, vibrant colors, devinart, trending on artstation, low details", "guidance": 10, "scheduler": "EulerA", "num_outputs": 1, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run dhanushreddy291/forge-saga-landscape 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": "dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac", "input": { "seed": 0, "steps": 20, "width": 1024, "height": 768, "prompt": "A peaceful and serene village in mountains, akira toriyama, james gilleard, genshin impact, trending pixiv fanbox, acrylic palette knife, 4k, vibrant colors, devinart, trending on artstation, low details", "guidance": 10, "scheduler": "EulerA", "num_outputs": 1, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-01-17T17:51:14.977155Z", "created_at": "2024-01-17T17:51:10.434160Z", "data_removed": false, "error": null, "id": "bhpsscdbelx62oca2ut7ms37di", "input": { "seed": 0, "steps": 20, "width": 1024, "height": 768, "prompt": "A peaceful and serene village in mountains, akira toriyama, james gilleard, genshin impact, trending pixiv fanbox, acrylic palette knife, 4k, vibrant colors, devinart, trending on artstation, low details", "guidance": 10, "scheduler": "EulerA", "num_outputs": 1, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" }, "logs": "0%| | 0/20 [00:00<?, ?it/s]\n 10%|█ | 2/20 [00:00<00:01, 11.66it/s]\n 20%|██ | 4/20 [00:00<00:01, 8.59it/s]\n 25%|██▌ | 5/20 [00:00<00:01, 8.14it/s]\n 30%|███ | 6/20 [00:00<00:01, 7.85it/s]\n 35%|███▌ | 7/20 [00:00<00:01, 7.65it/s]\n 40%|████ | 8/20 [00:01<00:01, 7.51it/s]\n 45%|████▌ | 9/20 [00:01<00:01, 7.42it/s]\n 50%|█████ | 10/20 [00:01<00:01, 7.36it/s]\n 55%|█████▌ | 11/20 [00:01<00:01, 7.32it/s]\n 60%|██████ | 12/20 [00:01<00:01, 7.28it/s]\n 65%|██████▌ | 13/20 [00:01<00:00, 7.27it/s]\n 70%|███████ | 14/20 [00:01<00:00, 7.25it/s]\n 75%|███████▌ | 15/20 [00:01<00:00, 7.25it/s]\n 80%|████████ | 16/20 [00:02<00:00, 7.24it/s]\n 85%|████████▌ | 17/20 [00:02<00:00, 7.24it/s]\n 90%|█████████ | 18/20 [00:02<00:00, 7.23it/s]\n 95%|█████████▌| 19/20 [00:02<00:00, 7.22it/s]\n100%|██████████| 20/20 [00:02<00:00, 7.22it/s]\n100%|██████████| 20/20 [00:02<00:00, 7.51it/s]", "metrics": { "predict_time": 4.508629, "total_time": 4.542995 }, "output": [ "https://replicate.delivery/pbxt/D7UV0IlDHA5lD5sHEO7m63uEX4nAt7q3WH1tyCMQC2VkFXjE/out-0.png" ], "started_at": "2024-01-17T17:51:10.468526Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/bhpsscdbelx62oca2ut7ms37di", "cancel": "https://api.replicate.com/v1/predictions/bhpsscdbelx62oca2ut7ms37di/cancel" }, "version": "543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac" }
Generated in0%| | 0/20 [00:00<?, ?it/s] 10%|█ | 2/20 [00:00<00:01, 11.66it/s] 20%|██ | 4/20 [00:00<00:01, 8.59it/s] 25%|██▌ | 5/20 [00:00<00:01, 8.14it/s] 30%|███ | 6/20 [00:00<00:01, 7.85it/s] 35%|███▌ | 7/20 [00:00<00:01, 7.65it/s] 40%|████ | 8/20 [00:01<00:01, 7.51it/s] 45%|████▌ | 9/20 [00:01<00:01, 7.42it/s] 50%|█████ | 10/20 [00:01<00:01, 7.36it/s] 55%|█████▌ | 11/20 [00:01<00:01, 7.32it/s] 60%|██████ | 12/20 [00:01<00:01, 7.28it/s] 65%|██████▌ | 13/20 [00:01<00:00, 7.27it/s] 70%|███████ | 14/20 [00:01<00:00, 7.25it/s] 75%|███████▌ | 15/20 [00:01<00:00, 7.25it/s] 80%|████████ | 16/20 [00:02<00:00, 7.24it/s] 85%|████████▌ | 17/20 [00:02<00:00, 7.24it/s] 90%|█████████ | 18/20 [00:02<00:00, 7.23it/s] 95%|█████████▌| 19/20 [00:02<00:00, 7.22it/s] 100%|██████████| 20/20 [00:02<00:00, 7.22it/s] 100%|██████████| 20/20 [00:02<00:00, 7.51it/s]
Prediction
dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aacIDan4ffjlbzo65hwyz75d6bzl2xeStatusSucceededSourceWebHardwareA40Total durationCreatedInput
- seed
- 0
- steps
- 20
- width
- 1024
- height
- 768
- prompt
- modern apartment building on a mountain with many pine trees
- guidance
- 10
- scheduler
- EulerA
- num_outputs
- 1
- negative_prompt
- (worst quality, normal quality, low quality, 3D, realistic:1.6)
{ "seed": 0, "steps": 20, "width": 1024, "height": 768, "prompt": "modern apartment building on a mountain with many pine trees", "guidance": 10, "scheduler": "EulerA", "num_outputs": 1, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run dhanushreddy291/forge-saga-landscape using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac", { input: { seed: 0, steps: 20, width: 1024, height: 768, prompt: "modern apartment building on a mountain with many pine trees", guidance: 10, scheduler: "EulerA", num_outputs: 1, negative_prompt: "(worst quality, normal quality, low quality, 3D, realistic:1.6)" } } ); // 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 dhanushreddy291/forge-saga-landscape using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac", input={ "seed": 0, "steps": 20, "width": 1024, "height": 768, "prompt": "modern apartment building on a mountain with many pine trees", "guidance": 10, "scheduler": "EulerA", "num_outputs": 1, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run dhanushreddy291/forge-saga-landscape 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": "dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac", "input": { "seed": 0, "steps": 20, "width": 1024, "height": 768, "prompt": "modern apartment building on a mountain with many pine trees", "guidance": 10, "scheduler": "EulerA", "num_outputs": 1, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-01-17T17:50:17.991696Z", "created_at": "2024-01-17T17:50:13.664479Z", "data_removed": false, "error": null, "id": "an4ffjlbzo65hwyz75d6bzl2xe", "input": { "seed": 0, "steps": 20, "width": 1024, "height": 768, "prompt": "modern apartment building on a mountain with many pine trees", "guidance": 10, "scheduler": "EulerA", "num_outputs": 1, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" }, "logs": "0%| | 0/20 [00:00<?, ?it/s]\n 10%|█ | 2/20 [00:00<00:01, 11.53it/s]\n 20%|██ | 4/20 [00:00<00:01, 8.61it/s]\n 25%|██▌ | 5/20 [00:00<00:01, 8.18it/s]\n 30%|███ | 6/20 [00:00<00:01, 7.88it/s]\n 35%|███▌ | 7/20 [00:00<00:01, 7.70it/s]\n 40%|████ | 8/20 [00:00<00:01, 7.57it/s]\n 45%|████▌ | 9/20 [00:01<00:01, 7.48it/s]\n 50%|█████ | 10/20 [00:01<00:01, 7.42it/s]\n 55%|█████▌ | 11/20 [00:01<00:01, 7.38it/s]\n 60%|██████ | 12/20 [00:01<00:01, 7.34it/s]\n 65%|██████▌ | 13/20 [00:01<00:00, 7.31it/s]\n 70%|███████ | 14/20 [00:01<00:00, 7.30it/s]\n 75%|███████▌ | 15/20 [00:01<00:00, 7.29it/s]\n 80%|████████ | 16/20 [00:02<00:00, 7.28it/s]\n 85%|████████▌ | 17/20 [00:02<00:00, 7.27it/s]\n 90%|█████████ | 18/20 [00:02<00:00, 7.28it/s]\n 95%|█████████▌| 19/20 [00:02<00:00, 7.28it/s]\n100%|██████████| 20/20 [00:02<00:00, 7.27it/s]\n100%|██████████| 20/20 [00:02<00:00, 7.55it/s]", "metrics": { "predict_time": 4.290799, "total_time": 4.327217 }, "output": [ "https://replicate.delivery/pbxt/rMDei25InyztISxvZCztWpB9wQUGuKXBsAgsoMcwGfJZVcNSA/out-0.png" ], "started_at": "2024-01-17T17:50:13.700897Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/an4ffjlbzo65hwyz75d6bzl2xe", "cancel": "https://api.replicate.com/v1/predictions/an4ffjlbzo65hwyz75d6bzl2xe/cancel" }, "version": "543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac" }
Generated in0%| | 0/20 [00:00<?, ?it/s] 10%|█ | 2/20 [00:00<00:01, 11.53it/s] 20%|██ | 4/20 [00:00<00:01, 8.61it/s] 25%|██▌ | 5/20 [00:00<00:01, 8.18it/s] 30%|███ | 6/20 [00:00<00:01, 7.88it/s] 35%|███▌ | 7/20 [00:00<00:01, 7.70it/s] 40%|████ | 8/20 [00:00<00:01, 7.57it/s] 45%|████▌ | 9/20 [00:01<00:01, 7.48it/s] 50%|█████ | 10/20 [00:01<00:01, 7.42it/s] 55%|█████▌ | 11/20 [00:01<00:01, 7.38it/s] 60%|██████ | 12/20 [00:01<00:01, 7.34it/s] 65%|██████▌ | 13/20 [00:01<00:00, 7.31it/s] 70%|███████ | 14/20 [00:01<00:00, 7.30it/s] 75%|███████▌ | 15/20 [00:01<00:00, 7.29it/s] 80%|████████ | 16/20 [00:02<00:00, 7.28it/s] 85%|████████▌ | 17/20 [00:02<00:00, 7.27it/s] 90%|█████████ | 18/20 [00:02<00:00, 7.28it/s] 95%|█████████▌| 19/20 [00:02<00:00, 7.28it/s] 100%|██████████| 20/20 [00:02<00:00, 7.27it/s] 100%|██████████| 20/20 [00:02<00:00, 7.55it/s]
Prediction
dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aacID5qphthtbngime6iokpzqq4ytciStatusSucceededSourceWebHardwareA40Total durationCreatedInput
- seed
- 0
- steps
- 20
- width
- 1024
- height
- 768
- prompt
- modern apartment building on a mountain with many pine trees
- guidance
- 10
- scheduler
- EulerA
- num_outputs
- 1
- negative_prompt
- (worst quality, normal quality, low quality, 3D, realistic:1.6)
{ "seed": 0, "steps": 20, "width": 1024, "height": 768, "prompt": "modern apartment building on a mountain with many pine trees", "guidance": 10, "scheduler": "EulerA", "num_outputs": 1, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run dhanushreddy291/forge-saga-landscape using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac", { input: { seed: 0, steps: 20, width: 1024, height: 768, prompt: "modern apartment building on a mountain with many pine trees", guidance: 10, scheduler: "EulerA", num_outputs: 1, negative_prompt: "(worst quality, normal quality, low quality, 3D, realistic:1.6)" } } ); // 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 dhanushreddy291/forge-saga-landscape using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac", input={ "seed": 0, "steps": 20, "width": 1024, "height": 768, "prompt": "modern apartment building on a mountain with many pine trees", "guidance": 10, "scheduler": "EulerA", "num_outputs": 1, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run dhanushreddy291/forge-saga-landscape 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": "dhanushreddy291/forge-saga-landscape:543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac", "input": { "seed": 0, "steps": 20, "width": 1024, "height": 768, "prompt": "modern apartment building on a mountain with many pine trees", "guidance": 10, "scheduler": "EulerA", "num_outputs": 1, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-01-17T17:50:04.595038Z", "created_at": "2024-01-17T17:48:47.241560Z", "data_removed": false, "error": null, "id": "5qphthtbngime6iokpzqq4ytci", "input": { "seed": 0, "steps": 20, "width": 1024, "height": 768, "prompt": "modern apartment building on a mountain with many pine trees", "guidance": 10, "scheduler": "EulerA", "num_outputs": 1, "negative_prompt": "(worst quality, normal quality, low quality, 3D, realistic:1.6)" }, "logs": "0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:11, 1.71it/s]\n 15%|█▌ | 3/20 [00:00<00:03, 4.38it/s]\n 20%|██ | 4/20 [00:00<00:03, 5.08it/s]\n 25%|██▌ | 5/20 [00:01<00:02, 5.64it/s]\n 30%|███ | 6/20 [00:01<00:02, 6.08it/s]\n 35%|███▌ | 7/20 [00:01<00:02, 6.42it/s]\n 40%|████ | 8/20 [00:01<00:01, 6.65it/s]\n 45%|████▌ | 9/20 [00:01<00:01, 6.84it/s]\n 50%|█████ | 10/20 [00:01<00:01, 6.98it/s]\n 55%|█████▌ | 11/20 [00:01<00:01, 7.07it/s]\n 60%|██████ | 12/20 [00:02<00:01, 7.13it/s]\n 65%|██████▌ | 13/20 [00:02<00:00, 7.17it/s]\n 70%|███████ | 14/20 [00:02<00:00, 7.21it/s]\n 75%|███████▌ | 15/20 [00:02<00:00, 7.24it/s]\n 80%|████████ | 16/20 [00:02<00:00, 7.26it/s]\n 85%|████████▌ | 17/20 [00:02<00:00, 7.26it/s]\n 90%|█████████ | 18/20 [00:02<00:00, 7.27it/s]\n 95%|█████████▌| 19/20 [00:02<00:00, 7.28it/s]\n100%|██████████| 20/20 [00:03<00:00, 7.27it/s]\n100%|██████████| 20/20 [00:03<00:00, 6.40it/s]", "metrics": { "predict_time": 5.346571, "total_time": 77.353478 }, "output": [ "https://replicate.delivery/pbxt/4UureRknWt1KLitxjevNQKf80ntQ7aMHugjQoHqpiyaWq4akA/out-0.png" ], "started_at": "2024-01-17T17:49:59.248467Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/5qphthtbngime6iokpzqq4ytci", "cancel": "https://api.replicate.com/v1/predictions/5qphthtbngime6iokpzqq4ytci/cancel" }, "version": "543c82e97d1e8e54af0b23e010b692f2825e8350335205703f6b9cf5efc10aac" }
Generated in0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:11, 1.71it/s] 15%|█▌ | 3/20 [00:00<00:03, 4.38it/s] 20%|██ | 4/20 [00:00<00:03, 5.08it/s] 25%|██▌ | 5/20 [00:01<00:02, 5.64it/s] 30%|███ | 6/20 [00:01<00:02, 6.08it/s] 35%|███▌ | 7/20 [00:01<00:02, 6.42it/s] 40%|████ | 8/20 [00:01<00:01, 6.65it/s] 45%|████▌ | 9/20 [00:01<00:01, 6.84it/s] 50%|█████ | 10/20 [00:01<00:01, 6.98it/s] 55%|█████▌ | 11/20 [00:01<00:01, 7.07it/s] 60%|██████ | 12/20 [00:02<00:01, 7.13it/s] 65%|██████▌ | 13/20 [00:02<00:00, 7.17it/s] 70%|███████ | 14/20 [00:02<00:00, 7.21it/s] 75%|███████▌ | 15/20 [00:02<00:00, 7.24it/s] 80%|████████ | 16/20 [00:02<00:00, 7.26it/s] 85%|████████▌ | 17/20 [00:02<00:00, 7.26it/s] 90%|█████████ | 18/20 [00:02<00:00, 7.27it/s] 95%|█████████▌| 19/20 [00:02<00:00, 7.28it/s] 100%|██████████| 20/20 [00:03<00:00, 7.27it/s] 100%|██████████| 20/20 [00:03<00:00, 6.40it/s]
Want to make some of these yourself?
Run this model