fofr / sdxl-sonic-2
- Public
- 2.4K runs
-
L40S
Prediction
fofr/sdxl-sonic-2:d9b22cdf778d4ccaf2b6a84a06a2eaa754305703d46983e1a996fe1eabbfd26cIDpqqv4clb6p3knmkhqphvj2jmjiStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1536
- height
- 768
- prompt
- A screenshot in the style of TOK, pixel art, 2d platform game, sharp, beach scene
- refine
- expert_ensemble_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 4
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.95
- negative_prompt
- soft, blurry
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 1536, "height": 768, "prompt": "A screenshot in the style of TOK, pixel art, 2d platform game, sharp, beach scene", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 4, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.95, "negative_prompt": "soft, blurry", "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 fofr/sdxl-sonic-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/sdxl-sonic-2:d9b22cdf778d4ccaf2b6a84a06a2eaa754305703d46983e1a996fe1eabbfd26c", { input: { width: 1536, height: 768, prompt: "A screenshot in the style of TOK, pixel art, 2d platform game, sharp, beach scene", refine: "expert_ensemble_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 4, guidance_scale: 7.5, apply_watermark: false, high_noise_frac: 0.95, negative_prompt: "soft, blurry", 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 fofr/sdxl-sonic-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/sdxl-sonic-2:d9b22cdf778d4ccaf2b6a84a06a2eaa754305703d46983e1a996fe1eabbfd26c", input={ "width": 1536, "height": 768, "prompt": "A screenshot in the style of TOK, pixel art, 2d platform game, sharp, beach scene", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 4, "guidance_scale": 7.5, "apply_watermark": False, "high_noise_frac": 0.95, "negative_prompt": "soft, blurry", "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 fofr/sdxl-sonic-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "fofr/sdxl-sonic-2:d9b22cdf778d4ccaf2b6a84a06a2eaa754305703d46983e1a996fe1eabbfd26c", "input": { "width": 1536, "height": 768, "prompt": "A screenshot in the style of TOK, pixel art, 2d platform game, sharp, beach scene", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 4, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.95, "negative_prompt": "soft, blurry", "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": "2023-08-08T20:58:06.826010Z", "created_at": "2023-08-08T20:57:04.051009Z", "data_removed": false, "error": null, "id": "pqqv4clb6p3knmkhqphvj2jmji", "input": { "width": 1536, "height": 768, "prompt": "A screenshot in the style of TOK, pixel art, 2d platform game, sharp, beach scene", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 4, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.95, "negative_prompt": "soft, blurry", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 50755\nPrompt: A screenshot in the style of <s0><s1>, pixel art, 2d platform game, sharp, beach scene\ntxt2img mode\n 0%| | 0/47 [00:00<?, ?it/s]\n 2%|▏ | 1/47 [00:01<00:52, 1.15s/it]\n 4%|▍ | 2/47 [00:02<00:51, 1.15s/it]\n 6%|▋ | 3/47 [00:03<00:50, 1.15s/it]\n 9%|▊ | 4/47 [00:04<00:49, 1.15s/it]\n 11%|█ | 5/47 [00:05<00:48, 1.15s/it]\n 13%|█▎ | 6/47 [00:06<00:47, 1.15s/it]\n 15%|█▍ | 7/47 [00:08<00:46, 1.15s/it]\n 17%|█▋ | 8/47 [00:09<00:44, 1.15s/it]\n 19%|█▉ | 9/47 [00:10<00:43, 1.15s/it]\n 21%|██▏ | 10/47 [00:11<00:42, 1.15s/it]\n 23%|██▎ | 11/47 [00:12<00:41, 1.15s/it]\n 26%|██▌ | 12/47 [00:13<00:40, 1.15s/it]\n 28%|██▊ | 13/47 [00:14<00:39, 1.15s/it]\n 30%|██▉ | 14/47 [00:16<00:38, 1.15s/it]\n 32%|███▏ | 15/47 [00:17<00:36, 1.15s/it]\n 34%|███▍ | 16/47 [00:18<00:35, 1.15s/it]\n 36%|███▌ | 17/47 [00:19<00:34, 1.15s/it]\n 38%|███▊ | 18/47 [00:20<00:33, 1.15s/it]\n 40%|████ | 19/47 [00:21<00:32, 1.15s/it]\n 43%|████▎ | 20/47 [00:23<00:31, 1.16s/it]\n 45%|████▍ | 21/47 [00:24<00:30, 1.16s/it]\n 47%|████▋ | 22/47 [00:25<00:28, 1.16s/it]\n 49%|████▉ | 23/47 [00:26<00:27, 1.16s/it]\n 51%|█████ | 24/47 [00:27<00:26, 1.16s/it]\n 53%|█████▎ | 25/47 [00:28<00:25, 1.16s/it]\n 55%|█████▌ | 26/47 [00:29<00:24, 1.16s/it]\n 57%|█████▋ | 27/47 [00:31<00:23, 1.16s/it]\n 60%|█████▉ | 28/47 [00:32<00:22, 1.16s/it]\n 62%|██████▏ | 29/47 [00:33<00:20, 1.16s/it]\n 64%|██████▍ | 30/47 [00:34<00:19, 1.16s/it]\n 66%|██████▌ | 31/47 [00:35<00:18, 1.16s/it]\n 68%|██████▊ | 32/47 [00:36<00:17, 1.16s/it]\n 70%|███████ | 33/47 [00:38<00:16, 1.16s/it]\n 72%|███████▏ | 34/47 [00:39<00:15, 1.16s/it]\n 74%|███████▍ | 35/47 [00:40<00:13, 1.16s/it]\n 77%|███████▋ | 36/47 [00:41<00:12, 1.16s/it]\n 79%|███████▊ | 37/47 [00:42<00:11, 1.16s/it]\n 81%|████████ | 38/47 [00:43<00:10, 1.16s/it]\n 83%|████████▎ | 39/47 [00:45<00:09, 1.16s/it]\n 85%|████████▌ | 40/47 [00:46<00:08, 1.16s/it]\n 87%|████████▋ | 41/47 [00:47<00:06, 1.16s/it]\n 89%|████████▉ | 42/47 [00:48<00:05, 1.16s/it]\n 91%|█████████▏| 43/47 [00:49<00:04, 1.16s/it]\n 94%|█████████▎| 44/47 [00:50<00:03, 1.16s/it]\n 96%|█████████▌| 45/47 [00:52<00:02, 1.16s/it]\n 98%|█████████▊| 46/47 [00:53<00:01, 1.16s/it]\n100%|██████████| 47/47 [00:54<00:00, 1.16s/it]\n100%|██████████| 47/47 [00:54<00:00, 1.16s/it]\n 0%| | 0/3 [00:00<?, ?it/s]\n 33%|███▎ | 1/3 [00:00<00:01, 1.05it/s]\n 67%|██████▋ | 2/3 [00:01<00:00, 1.05it/s]\n100%|██████████| 3/3 [00:02<00:00, 1.05it/s]\n100%|██████████| 3/3 [00:02<00:00, 1.05it/s]", "metrics": { "predict_time": 62.885795, "total_time": 62.775001 }, "output": [ "https://replicate.delivery/pbxt/qeUMaaaM0d3yYSZLBFQAeiZ7LzsQ3SpSJVLwNkNOv4Oc5FYRA/out-0.png", "https://replicate.delivery/pbxt/Zw9TVYXUj458O1cDERlxjTMEio6vJViFHsbS83f61eQd5FYRA/out-1.png", "https://replicate.delivery/pbxt/xHbUYrF5rIq4LVzfjpFG6Wn6lDdpGQoQOeTlYRAGCBBd5FYRA/out-2.png", "https://replicate.delivery/pbxt/6zy0wRJzRZqIFpCrjKoNdHgvsjifODfQHqeUNy6xv028yLwiA/out-3.png" ], "started_at": "2023-08-08T20:57:03.940215Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/pqqv4clb6p3knmkhqphvj2jmji", "cancel": "https://api.replicate.com/v1/predictions/pqqv4clb6p3knmkhqphvj2jmji/cancel" }, "version": "d9b22cdf778d4ccaf2b6a84a06a2eaa754305703d46983e1a996fe1eabbfd26c" }
Generated inUsing seed: 50755 Prompt: A screenshot in the style of <s0><s1>, pixel art, 2d platform game, sharp, beach scene txt2img mode 0%| | 0/47 [00:00<?, ?it/s] 2%|▏ | 1/47 [00:01<00:52, 1.15s/it] 4%|▍ | 2/47 [00:02<00:51, 1.15s/it] 6%|▋ | 3/47 [00:03<00:50, 1.15s/it] 9%|▊ | 4/47 [00:04<00:49, 1.15s/it] 11%|█ | 5/47 [00:05<00:48, 1.15s/it] 13%|█▎ | 6/47 [00:06<00:47, 1.15s/it] 15%|█▍ | 7/47 [00:08<00:46, 1.15s/it] 17%|█▋ | 8/47 [00:09<00:44, 1.15s/it] 19%|█▉ | 9/47 [00:10<00:43, 1.15s/it] 21%|██▏ | 10/47 [00:11<00:42, 1.15s/it] 23%|██▎ | 11/47 [00:12<00:41, 1.15s/it] 26%|██▌ | 12/47 [00:13<00:40, 1.15s/it] 28%|██▊ | 13/47 [00:14<00:39, 1.15s/it] 30%|██▉ | 14/47 [00:16<00:38, 1.15s/it] 32%|███▏ | 15/47 [00:17<00:36, 1.15s/it] 34%|███▍ | 16/47 [00:18<00:35, 1.15s/it] 36%|███▌ | 17/47 [00:19<00:34, 1.15s/it] 38%|███▊ | 18/47 [00:20<00:33, 1.15s/it] 40%|████ | 19/47 [00:21<00:32, 1.15s/it] 43%|████▎ | 20/47 [00:23<00:31, 1.16s/it] 45%|████▍ | 21/47 [00:24<00:30, 1.16s/it] 47%|████▋ | 22/47 [00:25<00:28, 1.16s/it] 49%|████▉ | 23/47 [00:26<00:27, 1.16s/it] 51%|█████ | 24/47 [00:27<00:26, 1.16s/it] 53%|█████▎ | 25/47 [00:28<00:25, 1.16s/it] 55%|█████▌ | 26/47 [00:29<00:24, 1.16s/it] 57%|█████▋ | 27/47 [00:31<00:23, 1.16s/it] 60%|█████▉ | 28/47 [00:32<00:22, 1.16s/it] 62%|██████▏ | 29/47 [00:33<00:20, 1.16s/it] 64%|██████▍ | 30/47 [00:34<00:19, 1.16s/it] 66%|██████▌ | 31/47 [00:35<00:18, 1.16s/it] 68%|██████▊ | 32/47 [00:36<00:17, 1.16s/it] 70%|███████ | 33/47 [00:38<00:16, 1.16s/it] 72%|███████▏ | 34/47 [00:39<00:15, 1.16s/it] 74%|███████▍ | 35/47 [00:40<00:13, 1.16s/it] 77%|███████▋ | 36/47 [00:41<00:12, 1.16s/it] 79%|███████▊ | 37/47 [00:42<00:11, 1.16s/it] 81%|████████ | 38/47 [00:43<00:10, 1.16s/it] 83%|████████▎ | 39/47 [00:45<00:09, 1.16s/it] 85%|████████▌ | 40/47 [00:46<00:08, 1.16s/it] 87%|████████▋ | 41/47 [00:47<00:06, 1.16s/it] 89%|████████▉ | 42/47 [00:48<00:05, 1.16s/it] 91%|█████████▏| 43/47 [00:49<00:04, 1.16s/it] 94%|█████████▎| 44/47 [00:50<00:03, 1.16s/it] 96%|█████████▌| 45/47 [00:52<00:02, 1.16s/it] 98%|█████████▊| 46/47 [00:53<00:01, 1.16s/it] 100%|██████████| 47/47 [00:54<00:00, 1.16s/it] 100%|██████████| 47/47 [00:54<00:00, 1.16s/it] 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:00<00:01, 1.05it/s] 67%|██████▋ | 2/3 [00:01<00:00, 1.05it/s] 100%|██████████| 3/3 [00:02<00:00, 1.05it/s] 100%|██████████| 3/3 [00:02<00:00, 1.05it/s]
Prediction
fofr/sdxl-sonic-2:d9b22cdf778d4ccaf2b6a84a06a2eaa754305703d46983e1a996fe1eabbfd26cIDunqi4xlbirus2fewttc3qdscoaStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1536
- height
- 768
- prompt
- A screenshot in the style of TOK, pixel art, 2d platform game, sharp, mountain scene
- refine
- expert_ensemble_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 4
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.95
- negative_prompt
- soft, blurry
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 1536, "height": 768, "prompt": "A screenshot in the style of TOK, pixel art, 2d platform game, sharp, mountain scene", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 4, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.95, "negative_prompt": "soft, blurry", "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 fofr/sdxl-sonic-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/sdxl-sonic-2:d9b22cdf778d4ccaf2b6a84a06a2eaa754305703d46983e1a996fe1eabbfd26c", { input: { width: 1536, height: 768, prompt: "A screenshot in the style of TOK, pixel art, 2d platform game, sharp, mountain scene", refine: "expert_ensemble_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 4, guidance_scale: 7.5, apply_watermark: false, high_noise_frac: 0.95, negative_prompt: "soft, blurry", 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 fofr/sdxl-sonic-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/sdxl-sonic-2:d9b22cdf778d4ccaf2b6a84a06a2eaa754305703d46983e1a996fe1eabbfd26c", input={ "width": 1536, "height": 768, "prompt": "A screenshot in the style of TOK, pixel art, 2d platform game, sharp, mountain scene", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 4, "guidance_scale": 7.5, "apply_watermark": False, "high_noise_frac": 0.95, "negative_prompt": "soft, blurry", "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 fofr/sdxl-sonic-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "fofr/sdxl-sonic-2:d9b22cdf778d4ccaf2b6a84a06a2eaa754305703d46983e1a996fe1eabbfd26c", "input": { "width": 1536, "height": 768, "prompt": "A screenshot in the style of TOK, pixel art, 2d platform game, sharp, mountain scene", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 4, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.95, "negative_prompt": "soft, blurry", "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": "2023-08-08T21:25:56.438432Z", "created_at": "2023-08-08T21:23:46.497567Z", "data_removed": false, "error": null, "id": "unqi4xlbirus2fewttc3qdscoa", "input": { "width": 1536, "height": 768, "prompt": "A screenshot in the style of TOK, pixel art, 2d platform game, sharp, mountain scene", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 4, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.95, "negative_prompt": "soft, blurry", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 47820\nPrompt: A screenshot in the style of <s0><s1>, pixel art, 2d platform game, sharp, mountain scene\ntxt2img mode\n 0%| | 0/47 [00:00<?, ?it/s]\n 2%|▏ | 1/47 [00:01<01:19, 1.73s/it]\n 4%|▍ | 2/47 [00:02<01:02, 1.39s/it]\n 6%|▋ | 3/47 [00:04<00:56, 1.28s/it]\n 9%|▊ | 4/47 [00:05<00:52, 1.23s/it]\n 11%|█ | 5/47 [00:06<00:50, 1.20s/it]\n 13%|█▎ | 6/47 [00:07<00:48, 1.18s/it]\n 15%|█▍ | 7/47 [00:08<00:46, 1.17s/it]\n 17%|█▋ | 8/47 [00:09<00:45, 1.16s/it]\n 19%|█▉ | 9/47 [00:10<00:44, 1.16s/it]\n 21%|██▏ | 10/47 [00:12<00:42, 1.16s/it]\n 23%|██▎ | 11/47 [00:13<00:41, 1.15s/it]\n 26%|██▌ | 12/47 [00:14<00:40, 1.15s/it]\n 28%|██▊ | 13/47 [00:15<00:39, 1.15s/it]\n 30%|██▉ | 14/47 [00:16<00:37, 1.15s/it]\n 32%|███▏ | 15/47 [00:17<00:36, 1.15s/it]\n 34%|███▍ | 16/47 [00:18<00:35, 1.15s/it]\n 36%|███▌ | 17/47 [00:20<00:34, 1.15s/it]\n 38%|███▊ | 18/47 [00:21<00:33, 1.16s/it]\n 40%|████ | 19/47 [00:22<00:32, 1.15s/it]\n 43%|████▎ | 20/47 [00:23<00:31, 1.15s/it]\n 45%|████▍ | 21/47 [00:24<00:29, 1.15s/it]\n 47%|████▋ | 22/47 [00:25<00:28, 1.15s/it]\n 49%|████▉ | 23/47 [00:27<00:27, 1.15s/it]\n 51%|█████ | 24/47 [00:28<00:26, 1.15s/it]\n 53%|█████▎ | 25/47 [00:29<00:25, 1.15s/it]\n 55%|█████▌ | 26/47 [00:30<00:24, 1.15s/it]\n 57%|█████▋ | 27/47 [00:31<00:23, 1.15s/it]\n 60%|█████▉ | 28/47 [00:32<00:21, 1.15s/it]\n 62%|██████▏ | 29/47 [00:33<00:20, 1.15s/it]\n 64%|██████▍ | 30/47 [00:35<00:19, 1.16s/it]\n 66%|██████▌ | 31/47 [00:36<00:18, 1.16s/it]\n 68%|██████▊ | 32/47 [00:37<00:17, 1.16s/it]\n 70%|███████ | 33/47 [00:38<00:16, 1.16s/it]\n 72%|███████▏ | 34/47 [00:39<00:15, 1.16s/it]\n 74%|███████▍ | 35/47 [00:40<00:13, 1.16s/it]\n 77%|███████▋ | 36/47 [00:42<00:12, 1.16s/it]\n 79%|███████▊ | 37/47 [00:43<00:11, 1.16s/it]\n 81%|████████ | 38/47 [00:44<00:10, 1.16s/it]\n 83%|████████▎ | 39/47 [00:45<00:09, 1.16s/it]\n 85%|████████▌ | 40/47 [00:46<00:08, 1.16s/it]\n 87%|████████▋ | 41/47 [00:47<00:06, 1.16s/it]\n 89%|████████▉ | 42/47 [00:49<00:05, 1.16s/it]\n 91%|█████████▏| 43/47 [00:50<00:04, 1.16s/it]\n 94%|█████████▎| 44/47 [00:51<00:03, 1.16s/it]\n 96%|█████████▌| 45/47 [00:52<00:02, 1.16s/it]\n 98%|█████████▊| 46/47 [00:53<00:01, 1.16s/it]\n100%|██████████| 47/47 [00:54<00:00, 1.16s/it]\n100%|██████████| 47/47 [00:54<00:00, 1.17s/it]\n 0%| | 0/3 [00:00<?, ?it/s]\n 33%|███▎ | 1/3 [00:00<00:01, 1.06it/s]\n 67%|██████▋ | 2/3 [00:01<00:00, 1.06it/s]\n100%|██████████| 3/3 [00:02<00:00, 1.06it/s]\n100%|██████████| 3/3 [00:02<00:00, 1.06it/s]", "metrics": { "predict_time": 62.871181, "total_time": 129.940865 }, "output": [ "https://replicate.delivery/pbxt/oJpZLW5A32YIEN0gGOzC4qacuINr57ZahSf74tWjn4WxJDsIA/out-0.png", "https://replicate.delivery/pbxt/AxBiABgnTRbsI1dSxWuzDygEMOlK2QRkJiR2fH4FSBrxJDsIA/out-1.png", "https://replicate.delivery/pbxt/uGdoKABK377jN5XiE5eUAgyJyiWKYKVWiUixEf4IltqjTGYRA/out-2.png", "https://replicate.delivery/pbxt/QugdN89lg0YfZaptjzkv8my8EmQfa8joQE2VkRuVTVTkTGYRA/out-3.png" ], "started_at": "2023-08-08T21:24:53.567251Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/unqi4xlbirus2fewttc3qdscoa", "cancel": "https://api.replicate.com/v1/predictions/unqi4xlbirus2fewttc3qdscoa/cancel" }, "version": "d9b22cdf778d4ccaf2b6a84a06a2eaa754305703d46983e1a996fe1eabbfd26c" }
Generated inUsing seed: 47820 Prompt: A screenshot in the style of <s0><s1>, pixel art, 2d platform game, sharp, mountain scene txt2img mode 0%| | 0/47 [00:00<?, ?it/s] 2%|▏ | 1/47 [00:01<01:19, 1.73s/it] 4%|▍ | 2/47 [00:02<01:02, 1.39s/it] 6%|▋ | 3/47 [00:04<00:56, 1.28s/it] 9%|▊ | 4/47 [00:05<00:52, 1.23s/it] 11%|█ | 5/47 [00:06<00:50, 1.20s/it] 13%|█▎ | 6/47 [00:07<00:48, 1.18s/it] 15%|█▍ | 7/47 [00:08<00:46, 1.17s/it] 17%|█▋ | 8/47 [00:09<00:45, 1.16s/it] 19%|█▉ | 9/47 [00:10<00:44, 1.16s/it] 21%|██▏ | 10/47 [00:12<00:42, 1.16s/it] 23%|██▎ | 11/47 [00:13<00:41, 1.15s/it] 26%|██▌ | 12/47 [00:14<00:40, 1.15s/it] 28%|██▊ | 13/47 [00:15<00:39, 1.15s/it] 30%|██▉ | 14/47 [00:16<00:37, 1.15s/it] 32%|███▏ | 15/47 [00:17<00:36, 1.15s/it] 34%|███▍ | 16/47 [00:18<00:35, 1.15s/it] 36%|███▌ | 17/47 [00:20<00:34, 1.15s/it] 38%|███▊ | 18/47 [00:21<00:33, 1.16s/it] 40%|████ | 19/47 [00:22<00:32, 1.15s/it] 43%|████▎ | 20/47 [00:23<00:31, 1.15s/it] 45%|████▍ | 21/47 [00:24<00:29, 1.15s/it] 47%|████▋ | 22/47 [00:25<00:28, 1.15s/it] 49%|████▉ | 23/47 [00:27<00:27, 1.15s/it] 51%|█████ | 24/47 [00:28<00:26, 1.15s/it] 53%|█████▎ | 25/47 [00:29<00:25, 1.15s/it] 55%|█████▌ | 26/47 [00:30<00:24, 1.15s/it] 57%|█████▋ | 27/47 [00:31<00:23, 1.15s/it] 60%|█████▉ | 28/47 [00:32<00:21, 1.15s/it] 62%|██████▏ | 29/47 [00:33<00:20, 1.15s/it] 64%|██████▍ | 30/47 [00:35<00:19, 1.16s/it] 66%|██████▌ | 31/47 [00:36<00:18, 1.16s/it] 68%|██████▊ | 32/47 [00:37<00:17, 1.16s/it] 70%|███████ | 33/47 [00:38<00:16, 1.16s/it] 72%|███████▏ | 34/47 [00:39<00:15, 1.16s/it] 74%|███████▍ | 35/47 [00:40<00:13, 1.16s/it] 77%|███████▋ | 36/47 [00:42<00:12, 1.16s/it] 79%|███████▊ | 37/47 [00:43<00:11, 1.16s/it] 81%|████████ | 38/47 [00:44<00:10, 1.16s/it] 83%|████████▎ | 39/47 [00:45<00:09, 1.16s/it] 85%|████████▌ | 40/47 [00:46<00:08, 1.16s/it] 87%|████████▋ | 41/47 [00:47<00:06, 1.16s/it] 89%|████████▉ | 42/47 [00:49<00:05, 1.16s/it] 91%|█████████▏| 43/47 [00:50<00:04, 1.16s/it] 94%|█████████▎| 44/47 [00:51<00:03, 1.16s/it] 96%|█████████▌| 45/47 [00:52<00:02, 1.16s/it] 98%|█████████▊| 46/47 [00:53<00:01, 1.16s/it] 100%|██████████| 47/47 [00:54<00:00, 1.16s/it] 100%|██████████| 47/47 [00:54<00:00, 1.17s/it] 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:00<00:01, 1.06it/s] 67%|██████▋ | 2/3 [00:01<00:00, 1.06it/s] 100%|██████████| 3/3 [00:02<00:00, 1.06it/s] 100%|██████████| 3/3 [00:02<00:00, 1.06it/s]
Prediction
fofr/sdxl-sonic-2:d9b22cdf778d4ccaf2b6a84a06a2eaa754305703d46983e1a996fe1eabbfd26cIDkgpf7ltbxqm4vopm6da4ktvg5eStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedby @fofrInput
- width
- 1536
- height
- 768
- prompt
- A screenshot in the style of TOK, pixel art, 2d platform game, sharp, snowy mountain scene
- refine
- expert_ensemble_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 4
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.95
- negative_prompt
- soft, blurry
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 1536, "height": 768, "prompt": "A screenshot in the style of TOK, pixel art, 2d platform game, sharp, snowy mountain scene", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 4, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.95, "negative_prompt": "soft, blurry", "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 fofr/sdxl-sonic-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/sdxl-sonic-2:d9b22cdf778d4ccaf2b6a84a06a2eaa754305703d46983e1a996fe1eabbfd26c", { input: { width: 1536, height: 768, prompt: "A screenshot in the style of TOK, pixel art, 2d platform game, sharp, snowy mountain scene", refine: "expert_ensemble_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 4, guidance_scale: 7.5, apply_watermark: false, high_noise_frac: 0.95, negative_prompt: "soft, blurry", 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 fofr/sdxl-sonic-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/sdxl-sonic-2:d9b22cdf778d4ccaf2b6a84a06a2eaa754305703d46983e1a996fe1eabbfd26c", input={ "width": 1536, "height": 768, "prompt": "A screenshot in the style of TOK, pixel art, 2d platform game, sharp, snowy mountain scene", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 4, "guidance_scale": 7.5, "apply_watermark": False, "high_noise_frac": 0.95, "negative_prompt": "soft, blurry", "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 fofr/sdxl-sonic-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "fofr/sdxl-sonic-2:d9b22cdf778d4ccaf2b6a84a06a2eaa754305703d46983e1a996fe1eabbfd26c", "input": { "width": 1536, "height": 768, "prompt": "A screenshot in the style of TOK, pixel art, 2d platform game, sharp, snowy mountain scene", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 4, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.95, "negative_prompt": "soft, blurry", "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": "2023-08-08T21:27:13.322982Z", "created_at": "2023-08-08T21:26:11.857929Z", "data_removed": false, "error": null, "id": "kgpf7ltbxqm4vopm6da4ktvg5e", "input": { "width": 1536, "height": 768, "prompt": "A screenshot in the style of TOK, pixel art, 2d platform game, sharp, snowy mountain scene", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 4, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.95, "negative_prompt": "soft, blurry", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 2561\nPrompt: A screenshot in the style of <s0><s1>, pixel art, 2d platform game, sharp, snowy mountain scene\ntxt2img mode\n 0%| | 0/47 [00:00<?, ?it/s]\n 2%|▏ | 1/47 [00:01<00:52, 1.15s/it]\n 4%|▍ | 2/47 [00:02<00:51, 1.15s/it]\n 6%|▋ | 3/47 [00:03<00:50, 1.15s/it]\n 9%|▊ | 4/47 [00:04<00:49, 1.15s/it]\n 11%|█ | 5/47 [00:05<00:48, 1.15s/it]\n 13%|█▎ | 6/47 [00:06<00:47, 1.15s/it]\n 15%|█▍ | 7/47 [00:08<00:46, 1.15s/it]\n 17%|█▋ | 8/47 [00:09<00:45, 1.15s/it]\n 19%|█▉ | 9/47 [00:10<00:43, 1.15s/it]\n 21%|██▏ | 10/47 [00:11<00:42, 1.15s/it]\n 23%|██▎ | 11/47 [00:12<00:41, 1.16s/it]\n 26%|██▌ | 12/47 [00:13<00:40, 1.16s/it]\n 28%|██▊ | 13/47 [00:15<00:39, 1.16s/it]\n 30%|██▉ | 14/47 [00:16<00:38, 1.16s/it]\n 32%|███▏ | 15/47 [00:17<00:36, 1.16s/it]\n 34%|███▍ | 16/47 [00:18<00:35, 1.16s/it]\n 36%|███▌ | 17/47 [00:19<00:34, 1.16s/it]\n 38%|███▊ | 18/47 [00:20<00:33, 1.16s/it]\n 40%|████ | 19/47 [00:21<00:32, 1.16s/it]\n 43%|████▎ | 20/47 [00:23<00:31, 1.16s/it]\n 45%|████▍ | 21/47 [00:24<00:30, 1.16s/it]\n 47%|████▋ | 22/47 [00:25<00:28, 1.16s/it]\n 49%|████▉ | 23/47 [00:26<00:27, 1.16s/it]\n 51%|█████ | 24/47 [00:27<00:26, 1.16s/it]\n 53%|█████▎ | 25/47 [00:28<00:25, 1.16s/it]\n 55%|█████▌ | 26/47 [00:30<00:24, 1.16s/it]\n 57%|█████▋ | 27/47 [00:31<00:23, 1.16s/it]\n 60%|█████▉ | 28/47 [00:32<00:21, 1.16s/it]\n 62%|██████▏ | 29/47 [00:33<00:20, 1.16s/it]\n 64%|██████▍ | 30/47 [00:34<00:19, 1.16s/it]\n 66%|██████▌ | 31/47 [00:35<00:18, 1.16s/it]\n 68%|██████▊ | 32/47 [00:36<00:17, 1.16s/it]\n 70%|███████ | 33/47 [00:38<00:16, 1.16s/it]\n 72%|███████▏ | 34/47 [00:39<00:15, 1.16s/it]\n 74%|███████▍ | 35/47 [00:40<00:13, 1.16s/it]\n 77%|███████▋ | 36/47 [00:41<00:12, 1.16s/it]\n 79%|███████▊ | 37/47 [00:42<00:11, 1.16s/it]\n 81%|████████ | 38/47 [00:43<00:10, 1.16s/it]\n 83%|████████▎ | 39/47 [00:45<00:09, 1.16s/it]\n 85%|████████▌ | 40/47 [00:46<00:08, 1.16s/it]\n 87%|████████▋ | 41/47 [00:47<00:06, 1.16s/it]\n 89%|████████▉ | 42/47 [00:48<00:05, 1.16s/it]\n 91%|█████████▏| 43/47 [00:49<00:04, 1.16s/it]\n 94%|█████████▎| 44/47 [00:50<00:03, 1.16s/it]\n 96%|█████████▌| 45/47 [00:52<00:02, 1.16s/it]\n 98%|█████████▊| 46/47 [00:53<00:01, 1.16s/it]\n100%|██████████| 47/47 [00:54<00:00, 1.16s/it]\n100%|██████████| 47/47 [00:54<00:00, 1.16s/it]\n 0%| | 0/3 [00:00<?, ?it/s]\n 33%|███▎ | 1/3 [00:00<00:01, 1.06it/s]\n 67%|██████▋ | 2/3 [00:01<00:00, 1.06it/s]\n100%|██████████| 3/3 [00:02<00:00, 1.06it/s]\n100%|██████████| 3/3 [00:02<00:00, 1.06it/s]", "metrics": { "predict_time": 61.493381, "total_time": 61.465053 }, "output": [ "https://replicate.delivery/pbxt/50lNuvN23Wp4NJpTmz2uQOSLMgyk4QzjDEPNIZt6wgeXKDsIA/out-0.png", "https://replicate.delivery/pbxt/6XffPzJYS4nrTkp3Feal2WkZiaKGUmACZPhevQV6Nc5DTZgFB/out-1.png", "https://replicate.delivery/pbxt/Fd4cIu5xuZYfCSVMsDwYNK6loflyJcPVTX7T1l6sgAGwUGYRA/out-2.png", "https://replicate.delivery/pbxt/KGJURfJEL1S4HC1fOqin0dqbKzRUp5lQrXpeZKHUgarjpMwiA/out-3.png" ], "started_at": "2023-08-08T21:26:11.829601Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/kgpf7ltbxqm4vopm6da4ktvg5e", "cancel": "https://api.replicate.com/v1/predictions/kgpf7ltbxqm4vopm6da4ktvg5e/cancel" }, "version": "d9b22cdf778d4ccaf2b6a84a06a2eaa754305703d46983e1a996fe1eabbfd26c" }
Generated inUsing seed: 2561 Prompt: A screenshot in the style of <s0><s1>, pixel art, 2d platform game, sharp, snowy mountain scene txt2img mode 0%| | 0/47 [00:00<?, ?it/s] 2%|▏ | 1/47 [00:01<00:52, 1.15s/it] 4%|▍ | 2/47 [00:02<00:51, 1.15s/it] 6%|▋ | 3/47 [00:03<00:50, 1.15s/it] 9%|▊ | 4/47 [00:04<00:49, 1.15s/it] 11%|█ | 5/47 [00:05<00:48, 1.15s/it] 13%|█▎ | 6/47 [00:06<00:47, 1.15s/it] 15%|█▍ | 7/47 [00:08<00:46, 1.15s/it] 17%|█▋ | 8/47 [00:09<00:45, 1.15s/it] 19%|█▉ | 9/47 [00:10<00:43, 1.15s/it] 21%|██▏ | 10/47 [00:11<00:42, 1.15s/it] 23%|██▎ | 11/47 [00:12<00:41, 1.16s/it] 26%|██▌ | 12/47 [00:13<00:40, 1.16s/it] 28%|██▊ | 13/47 [00:15<00:39, 1.16s/it] 30%|██▉ | 14/47 [00:16<00:38, 1.16s/it] 32%|███▏ | 15/47 [00:17<00:36, 1.16s/it] 34%|███▍ | 16/47 [00:18<00:35, 1.16s/it] 36%|███▌ | 17/47 [00:19<00:34, 1.16s/it] 38%|███▊ | 18/47 [00:20<00:33, 1.16s/it] 40%|████ | 19/47 [00:21<00:32, 1.16s/it] 43%|████▎ | 20/47 [00:23<00:31, 1.16s/it] 45%|████▍ | 21/47 [00:24<00:30, 1.16s/it] 47%|████▋ | 22/47 [00:25<00:28, 1.16s/it] 49%|████▉ | 23/47 [00:26<00:27, 1.16s/it] 51%|█████ | 24/47 [00:27<00:26, 1.16s/it] 53%|█████▎ | 25/47 [00:28<00:25, 1.16s/it] 55%|█████▌ | 26/47 [00:30<00:24, 1.16s/it] 57%|█████▋ | 27/47 [00:31<00:23, 1.16s/it] 60%|█████▉ | 28/47 [00:32<00:21, 1.16s/it] 62%|██████▏ | 29/47 [00:33<00:20, 1.16s/it] 64%|██████▍ | 30/47 [00:34<00:19, 1.16s/it] 66%|██████▌ | 31/47 [00:35<00:18, 1.16s/it] 68%|██████▊ | 32/47 [00:36<00:17, 1.16s/it] 70%|███████ | 33/47 [00:38<00:16, 1.16s/it] 72%|███████▏ | 34/47 [00:39<00:15, 1.16s/it] 74%|███████▍ | 35/47 [00:40<00:13, 1.16s/it] 77%|███████▋ | 36/47 [00:41<00:12, 1.16s/it] 79%|███████▊ | 37/47 [00:42<00:11, 1.16s/it] 81%|████████ | 38/47 [00:43<00:10, 1.16s/it] 83%|████████▎ | 39/47 [00:45<00:09, 1.16s/it] 85%|████████▌ | 40/47 [00:46<00:08, 1.16s/it] 87%|████████▋ | 41/47 [00:47<00:06, 1.16s/it] 89%|████████▉ | 42/47 [00:48<00:05, 1.16s/it] 91%|█████████▏| 43/47 [00:49<00:04, 1.16s/it] 94%|█████████▎| 44/47 [00:50<00:03, 1.16s/it] 96%|█████████▌| 45/47 [00:52<00:02, 1.16s/it] 98%|█████████▊| 46/47 [00:53<00:01, 1.16s/it] 100%|██████████| 47/47 [00:54<00:00, 1.16s/it] 100%|██████████| 47/47 [00:54<00:00, 1.16s/it] 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:00<00:01, 1.06it/s] 67%|██████▋ | 2/3 [00:01<00:00, 1.06it/s] 100%|██████████| 3/3 [00:02<00:00, 1.06it/s] 100%|██████████| 3/3 [00:02<00:00, 1.06it/s]
Prediction
fofr/sdxl-sonic-2:d9b22cdf778d4ccaf2b6a84a06a2eaa754305703d46983e1a996fe1eabbfd26cIDbe5ena3bclt3ngpjheiid5zlm4StatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedby @fofrInput
- width
- 1536
- height
- 768
- prompt
- A screenshot in the style of TOK, pixel art, 2d platform game, sharp, cyberpunk city scene
- refine
- expert_ensemble_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 4
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.95
- negative_prompt
- soft, blurry
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 1536, "height": 768, "prompt": "A screenshot in the style of TOK, pixel art, 2d platform game, sharp, cyberpunk city scene", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 4, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.95, "negative_prompt": "soft, blurry", "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 fofr/sdxl-sonic-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/sdxl-sonic-2:d9b22cdf778d4ccaf2b6a84a06a2eaa754305703d46983e1a996fe1eabbfd26c", { input: { width: 1536, height: 768, prompt: "A screenshot in the style of TOK, pixel art, 2d platform game, sharp, cyberpunk city scene", refine: "expert_ensemble_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 4, guidance_scale: 7.5, apply_watermark: false, high_noise_frac: 0.95, negative_prompt: "soft, blurry", 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 fofr/sdxl-sonic-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/sdxl-sonic-2:d9b22cdf778d4ccaf2b6a84a06a2eaa754305703d46983e1a996fe1eabbfd26c", input={ "width": 1536, "height": 768, "prompt": "A screenshot in the style of TOK, pixel art, 2d platform game, sharp, cyberpunk city scene", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 4, "guidance_scale": 7.5, "apply_watermark": False, "high_noise_frac": 0.95, "negative_prompt": "soft, blurry", "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 fofr/sdxl-sonic-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "fofr/sdxl-sonic-2:d9b22cdf778d4ccaf2b6a84a06a2eaa754305703d46983e1a996fe1eabbfd26c", "input": { "width": 1536, "height": 768, "prompt": "A screenshot in the style of TOK, pixel art, 2d platform game, sharp, cyberpunk city scene", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 4, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.95, "negative_prompt": "soft, blurry", "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": "2023-08-08T21:33:14.424866Z", "created_at": "2023-08-08T21:32:12.777545Z", "data_removed": false, "error": null, "id": "be5ena3bclt3ngpjheiid5zlm4", "input": { "width": 1536, "height": 768, "prompt": "A screenshot in the style of TOK, pixel art, 2d platform game, sharp, cyberpunk city scene", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 4, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.95, "negative_prompt": "soft, blurry", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 27568\nPrompt: A screenshot in the style of <s0><s1>, pixel art, 2d platform game, sharp, cyberpunk city scene\ntxt2img mode\n 0%| | 0/47 [00:00<?, ?it/s]\n 2%|▏ | 1/47 [00:01<00:52, 1.15s/it]\n 4%|▍ | 2/47 [00:02<00:51, 1.15s/it]\n 6%|▋ | 3/47 [00:03<00:50, 1.15s/it]\n 9%|▊ | 4/47 [00:04<00:49, 1.15s/it]\n 11%|█ | 5/47 [00:05<00:48, 1.15s/it]\n 13%|█▎ | 6/47 [00:06<00:47, 1.15s/it]\n 15%|█▍ | 7/47 [00:08<00:45, 1.15s/it]\n 17%|█▋ | 8/47 [00:09<00:44, 1.15s/it]\n 19%|█▉ | 9/47 [00:10<00:43, 1.15s/it]\n 21%|██▏ | 10/47 [00:11<00:42, 1.15s/it]\n 23%|██▎ | 11/47 [00:12<00:41, 1.15s/it]\n 26%|██▌ | 12/47 [00:13<00:40, 1.15s/it]\n 28%|██▊ | 13/47 [00:14<00:39, 1.15s/it]\n 30%|██▉ | 14/47 [00:16<00:37, 1.15s/it]\n 32%|███▏ | 15/47 [00:17<00:36, 1.15s/it]\n 34%|███▍ | 16/47 [00:18<00:35, 1.15s/it]\n 36%|███▌ | 17/47 [00:19<00:34, 1.15s/it]\n 38%|███▊ | 18/47 [00:20<00:33, 1.15s/it]\n 40%|████ | 19/47 [00:21<00:32, 1.15s/it]\n 43%|████▎ | 20/47 [00:22<00:31, 1.15s/it]\n 45%|████▍ | 21/47 [00:24<00:29, 1.15s/it]\n 47%|████▋ | 22/47 [00:25<00:28, 1.15s/it]\n 49%|████▉ | 23/47 [00:26<00:27, 1.15s/it]\n 51%|█████ | 24/47 [00:27<00:26, 1.15s/it]\n 53%|█████▎ | 25/47 [00:28<00:25, 1.15s/it]\n 55%|█████▌ | 26/47 [00:29<00:24, 1.15s/it]\n 57%|█████▋ | 27/47 [00:31<00:23, 1.15s/it]\n 60%|█████▉ | 28/47 [00:32<00:21, 1.15s/it]\n 62%|██████▏ | 29/47 [00:33<00:20, 1.15s/it]\n 64%|██████▍ | 30/47 [00:34<00:19, 1.15s/it]\n 66%|██████▌ | 31/47 [00:35<00:18, 1.15s/it]\n 68%|██████▊ | 32/47 [00:36<00:17, 1.15s/it]\n 70%|███████ | 33/47 [00:37<00:16, 1.15s/it]\n 72%|███████▏ | 34/47 [00:39<00:15, 1.16s/it]\n 74%|███████▍ | 35/47 [00:40<00:13, 1.16s/it]\n 77%|███████▋ | 36/47 [00:41<00:12, 1.16s/it]\n 79%|███████▊ | 37/47 [00:42<00:11, 1.16s/it]\n 81%|████████ | 38/47 [00:43<00:10, 1.16s/it]\n 83%|████████▎ | 39/47 [00:44<00:09, 1.16s/it]\n 85%|████████▌ | 40/47 [00:46<00:08, 1.16s/it]\n 87%|████████▋ | 41/47 [00:47<00:06, 1.16s/it]\n 89%|████████▉ | 42/47 [00:48<00:05, 1.16s/it]\n 91%|█████████▏| 43/47 [00:49<00:04, 1.16s/it]\n 94%|█████████▎| 44/47 [00:50<00:03, 1.16s/it]\n 96%|█████████▌| 45/47 [00:51<00:02, 1.16s/it]\n 98%|█████████▊| 46/47 [00:53<00:01, 1.16s/it]\n100%|██████████| 47/47 [00:54<00:00, 1.16s/it]\n100%|██████████| 47/47 [00:54<00:00, 1.15s/it]\n 0%| | 0/3 [00:00<?, ?it/s]\n 33%|███▎ | 1/3 [00:00<00:01, 1.06it/s]\n 67%|██████▋ | 2/3 [00:01<00:00, 1.06it/s]\n100%|██████████| 3/3 [00:02<00:00, 1.06it/s]\n100%|██████████| 3/3 [00:02<00:00, 1.06it/s]", "metrics": { "predict_time": 61.679689, "total_time": 61.647321 }, "output": [ "https://replicate.delivery/pbxt/4EmYxChE22aTPt0YzMEXdG4QMQPpIMBwJhS2xAm341OmmBWE/out-0.png", "https://replicate.delivery/pbxt/dvnwJavoko4CGViYar97fX5AVhtAsgeRfPsnAj4LQ9vz0MwiA/out-1.png", "https://replicate.delivery/pbxt/3QwTDzCGeS1pQK6CqeuGR4FNAd2hiS6e7KczMKdD763z0MwiA/out-2.png", "https://replicate.delivery/pbxt/Hd2KeHHUUzz2WiFrb3xxIO2xHf3SpSEFf6aJdYfRi0KrpZgFB/out-3.png" ], "started_at": "2023-08-08T21:32:12.745177Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/be5ena3bclt3ngpjheiid5zlm4", "cancel": "https://api.replicate.com/v1/predictions/be5ena3bclt3ngpjheiid5zlm4/cancel" }, "version": "d9b22cdf778d4ccaf2b6a84a06a2eaa754305703d46983e1a996fe1eabbfd26c" }
Generated inUsing seed: 27568 Prompt: A screenshot in the style of <s0><s1>, pixel art, 2d platform game, sharp, cyberpunk city scene txt2img mode 0%| | 0/47 [00:00<?, ?it/s] 2%|▏ | 1/47 [00:01<00:52, 1.15s/it] 4%|▍ | 2/47 [00:02<00:51, 1.15s/it] 6%|▋ | 3/47 [00:03<00:50, 1.15s/it] 9%|▊ | 4/47 [00:04<00:49, 1.15s/it] 11%|█ | 5/47 [00:05<00:48, 1.15s/it] 13%|█▎ | 6/47 [00:06<00:47, 1.15s/it] 15%|█▍ | 7/47 [00:08<00:45, 1.15s/it] 17%|█▋ | 8/47 [00:09<00:44, 1.15s/it] 19%|█▉ | 9/47 [00:10<00:43, 1.15s/it] 21%|██▏ | 10/47 [00:11<00:42, 1.15s/it] 23%|██▎ | 11/47 [00:12<00:41, 1.15s/it] 26%|██▌ | 12/47 [00:13<00:40, 1.15s/it] 28%|██▊ | 13/47 [00:14<00:39, 1.15s/it] 30%|██▉ | 14/47 [00:16<00:37, 1.15s/it] 32%|███▏ | 15/47 [00:17<00:36, 1.15s/it] 34%|███▍ | 16/47 [00:18<00:35, 1.15s/it] 36%|███▌ | 17/47 [00:19<00:34, 1.15s/it] 38%|███▊ | 18/47 [00:20<00:33, 1.15s/it] 40%|████ | 19/47 [00:21<00:32, 1.15s/it] 43%|████▎ | 20/47 [00:22<00:31, 1.15s/it] 45%|████▍ | 21/47 [00:24<00:29, 1.15s/it] 47%|████▋ | 22/47 [00:25<00:28, 1.15s/it] 49%|████▉ | 23/47 [00:26<00:27, 1.15s/it] 51%|█████ | 24/47 [00:27<00:26, 1.15s/it] 53%|█████▎ | 25/47 [00:28<00:25, 1.15s/it] 55%|█████▌ | 26/47 [00:29<00:24, 1.15s/it] 57%|█████▋ | 27/47 [00:31<00:23, 1.15s/it] 60%|█████▉ | 28/47 [00:32<00:21, 1.15s/it] 62%|██████▏ | 29/47 [00:33<00:20, 1.15s/it] 64%|██████▍ | 30/47 [00:34<00:19, 1.15s/it] 66%|██████▌ | 31/47 [00:35<00:18, 1.15s/it] 68%|██████▊ | 32/47 [00:36<00:17, 1.15s/it] 70%|███████ | 33/47 [00:37<00:16, 1.15s/it] 72%|███████▏ | 34/47 [00:39<00:15, 1.16s/it] 74%|███████▍ | 35/47 [00:40<00:13, 1.16s/it] 77%|███████▋ | 36/47 [00:41<00:12, 1.16s/it] 79%|███████▊ | 37/47 [00:42<00:11, 1.16s/it] 81%|████████ | 38/47 [00:43<00:10, 1.16s/it] 83%|████████▎ | 39/47 [00:44<00:09, 1.16s/it] 85%|████████▌ | 40/47 [00:46<00:08, 1.16s/it] 87%|████████▋ | 41/47 [00:47<00:06, 1.16s/it] 89%|████████▉ | 42/47 [00:48<00:05, 1.16s/it] 91%|█████████▏| 43/47 [00:49<00:04, 1.16s/it] 94%|█████████▎| 44/47 [00:50<00:03, 1.16s/it] 96%|█████████▌| 45/47 [00:51<00:02, 1.16s/it] 98%|█████████▊| 46/47 [00:53<00:01, 1.16s/it] 100%|██████████| 47/47 [00:54<00:00, 1.16s/it] 100%|██████████| 47/47 [00:54<00:00, 1.15s/it] 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:00<00:01, 1.06it/s] 67%|██████▋ | 2/3 [00:01<00:00, 1.06it/s] 100%|██████████| 3/3 [00:02<00:00, 1.06it/s] 100%|██████████| 3/3 [00:02<00:00, 1.06it/s]
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