fofr
/
realvisxl-v3
Amazing photorealism with RealVisXL_V3.0, based on SDXL, trainable
Prediction
fofr/realvisxl-v3:33279060bbbb8858700eb2146350a98d96ef334fcf817f37eb05915e1534aa1cIDojvcmelbohv53e373ahtjdb35uStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 768
- height
- 768
- prompt
- A photo of an astronaut riding a rainbow unicorn through a wildflower meadow
- refine
- no_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch
- prompt_strength
- 0.8
- num_inference_steps
- 25
{ "width": 768, "height": 768, "prompt": "A photo of an astronaut riding a rainbow unicorn through a wildflower meadow", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch", "prompt_strength": 0.8, "num_inference_steps": 25 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run fofr/realvisxl-v3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/realvisxl-v3:33279060bbbb8858700eb2146350a98d96ef334fcf817f37eb05915e1534aa1c", { input: { width: 768, height: 768, prompt: "A photo of an astronaut riding a rainbow unicorn through a wildflower meadow", refine: "no_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: false, high_noise_frac: 0.8, negative_prompt: "worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch", prompt_strength: 0.8, num_inference_steps: 25 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun fofr/realvisxl-v3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/realvisxl-v3:33279060bbbb8858700eb2146350a98d96ef334fcf817f37eb05915e1534aa1c", input={ "width": 768, "height": 768, "prompt": "A photo of an astronaut riding a rainbow unicorn through a wildflower meadow", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": False, "high_noise_frac": 0.8, "negative_prompt": "worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch", "prompt_strength": 0.8, "num_inference_steps": 25 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run fofr/realvisxl-v3 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": "33279060bbbb8858700eb2146350a98d96ef334fcf817f37eb05915e1534aa1c", "input": { "width": 768, "height": 768, "prompt": "A photo of an astronaut riding a rainbow unicorn through a wildflower meadow", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch", "prompt_strength": 0.8, "num_inference_steps": 25 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-21T14:39:49.188810Z", "created_at": "2023-12-21T14:39:39.599805Z", "data_removed": false, "error": null, "id": "ojvcmelbohv53e373ahtjdb35u", "input": { "width": 768, "height": 768, "prompt": "A photo of an astronaut riding a rainbow unicorn through a wildflower meadow", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch", "prompt_strength": 0.8, "num_inference_steps": 25 }, "logs": "Using seed: 31147\nPrompt: A photo of an astronaut riding a rainbow unicorn through a wildflower meadow\ntxt2img mode\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:00<00:02, 8.37it/s]\n 8%|▊ | 2/25 [00:00<00:02, 8.31it/s]\n 12%|█▏ | 3/25 [00:00<00:02, 8.29it/s]\n 16%|█▌ | 4/25 [00:00<00:02, 8.28it/s]\n 20%|██ | 5/25 [00:00<00:02, 8.28it/s]\n 24%|██▍ | 6/25 [00:00<00:02, 8.26it/s]\n 28%|██▊ | 7/25 [00:00<00:02, 8.24it/s]\n 32%|███▏ | 8/25 [00:00<00:02, 8.23it/s]\n 36%|███▌ | 9/25 [00:01<00:01, 8.20it/s]\n 40%|████ | 10/25 [00:01<00:01, 8.21it/s]\n 44%|████▍ | 11/25 [00:01<00:01, 8.20it/s]\n 48%|████▊ | 12/25 [00:01<00:01, 8.22it/s]\n 52%|█████▏ | 13/25 [00:01<00:01, 8.20it/s]\n 56%|█████▌ | 14/25 [00:01<00:01, 8.22it/s]\n 60%|██████ | 15/25 [00:01<00:01, 8.22it/s]\n 64%|██████▍ | 16/25 [00:01<00:01, 8.22it/s]\n 68%|██████▊ | 17/25 [00:02<00:00, 8.21it/s]\n 72%|███████▏ | 18/25 [00:02<00:00, 8.19it/s]\n 76%|███████▌ | 19/25 [00:02<00:00, 8.19it/s]\n 80%|████████ | 20/25 [00:02<00:00, 8.20it/s]\n 84%|████████▍ | 21/25 [00:02<00:00, 8.21it/s]\n 88%|████████▊ | 22/25 [00:02<00:00, 8.24it/s]\n 92%|█████████▏| 23/25 [00:02<00:00, 8.25it/s]\n 96%|█████████▌| 24/25 [00:02<00:00, 8.26it/s]\n100%|██████████| 25/25 [00:03<00:00, 8.27it/s]\n100%|██████████| 25/25 [00:03<00:00, 8.23it/s]", "metrics": { "predict_time": 9.550106, "total_time": 9.589005 }, "output": [ "https://replicate.delivery/pbxt/YNgRLcs6HeVzRasmZhX9mcpBgjm2Xt0cR1F7kW5yYb8XAQCJA/out-0.png" ], "started_at": "2023-12-21T14:39:39.638704Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ojvcmelbohv53e373ahtjdb35u", "cancel": "https://api.replicate.com/v1/predictions/ojvcmelbohv53e373ahtjdb35u/cancel" }, "version": "33279060bbbb8858700eb2146350a98d96ef334fcf817f37eb05915e1534aa1c" }Generated inUsing seed: 31147 Prompt: A photo of an astronaut riding a rainbow unicorn through a wildflower meadow txt2img mode 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:02, 8.37it/s] 8%|▊ | 2/25 [00:00<00:02, 8.31it/s] 12%|█▏ | 3/25 [00:00<00:02, 8.29it/s] 16%|█▌ | 4/25 [00:00<00:02, 8.28it/s] 20%|██ | 5/25 [00:00<00:02, 8.28it/s] 24%|██▍ | 6/25 [00:00<00:02, 8.26it/s] 28%|██▊ | 7/25 [00:00<00:02, 8.24it/s] 32%|███▏ | 8/25 [00:00<00:02, 8.23it/s] 36%|███▌ | 9/25 [00:01<00:01, 8.20it/s] 40%|████ | 10/25 [00:01<00:01, 8.21it/s] 44%|████▍ | 11/25 [00:01<00:01, 8.20it/s] 48%|████▊ | 12/25 [00:01<00:01, 8.22it/s] 52%|█████▏ | 13/25 [00:01<00:01, 8.20it/s] 56%|█████▌ | 14/25 [00:01<00:01, 8.22it/s] 60%|██████ | 15/25 [00:01<00:01, 8.22it/s] 64%|██████▍ | 16/25 [00:01<00:01, 8.22it/s] 68%|██████▊ | 17/25 [00:02<00:00, 8.21it/s] 72%|███████▏ | 18/25 [00:02<00:00, 8.19it/s] 76%|███████▌ | 19/25 [00:02<00:00, 8.19it/s] 80%|████████ | 20/25 [00:02<00:00, 8.20it/s] 84%|████████▍ | 21/25 [00:02<00:00, 8.21it/s] 88%|████████▊ | 22/25 [00:02<00:00, 8.24it/s] 92%|█████████▏| 23/25 [00:02<00:00, 8.25it/s] 96%|█████████▌| 24/25 [00:02<00:00, 8.26it/s] 100%|██████████| 25/25 [00:03<00:00, 8.27it/s] 100%|██████████| 25/25 [00:03<00:00, 8.23it/s]Prediction
fofr/realvisxl-v3:33279060bbbb8858700eb2146350a98d96ef334fcf817f37eb05915e1534aa1cIDpd5bvftby7cdba73w6dbhuodlaStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 768
- height
- 768
- prompt
- A color portrait photo of a man wearing sunglasses
- refine
- no_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch
- prompt_strength
- 0.8
- num_inference_steps
- 25
{ "width": 768, "height": 768, "prompt": "A color portrait photo of a man wearing sunglasses", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch", "prompt_strength": 0.8, "num_inference_steps": 25 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run fofr/realvisxl-v3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/realvisxl-v3:33279060bbbb8858700eb2146350a98d96ef334fcf817f37eb05915e1534aa1c", { input: { width: 768, height: 768, prompt: "A color portrait photo of a man wearing sunglasses", refine: "no_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: false, high_noise_frac: 0.8, negative_prompt: "worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch", prompt_strength: 0.8, num_inference_steps: 25 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun fofr/realvisxl-v3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/realvisxl-v3:33279060bbbb8858700eb2146350a98d96ef334fcf817f37eb05915e1534aa1c", input={ "width": 768, "height": 768, "prompt": "A color portrait photo of a man wearing sunglasses", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": False, "high_noise_frac": 0.8, "negative_prompt": "worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch", "prompt_strength": 0.8, "num_inference_steps": 25 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run fofr/realvisxl-v3 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": "33279060bbbb8858700eb2146350a98d96ef334fcf817f37eb05915e1534aa1c", "input": { "width": 768, "height": 768, "prompt": "A color portrait photo of a man wearing sunglasses", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch", "prompt_strength": 0.8, "num_inference_steps": 25 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-21T14:45:51.952051Z", "created_at": "2023-12-21T14:45:46.990604Z", "data_removed": false, "error": null, "id": "pd5bvftby7cdba73w6dbhuodla", "input": { "width": 768, "height": 768, "prompt": "A color portrait photo of a man wearing sunglasses", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch", "prompt_strength": 0.8, "num_inference_steps": 25 }, "logs": "Using seed: 13068\nPrompt: A color portrait photo of a man wearing sunglasses\ntxt2img mode\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:00<00:02, 8.36it/s]\n 8%|▊ | 2/25 [00:00<00:02, 8.31it/s]\n 12%|█▏ | 3/25 [00:00<00:02, 8.28it/s]\n 16%|█▌ | 4/25 [00:00<00:02, 8.27it/s]\n 20%|██ | 5/25 [00:00<00:02, 8.25it/s]\n 24%|██▍ | 6/25 [00:00<00:02, 8.27it/s]\n 28%|██▊ | 7/25 [00:00<00:02, 8.27it/s]\n 32%|███▏ | 8/25 [00:00<00:02, 8.25it/s]\n 36%|███▌ | 9/25 [00:01<00:01, 8.25it/s]\n 40%|████ | 10/25 [00:01<00:01, 8.25it/s]\n 44%|████▍ | 11/25 [00:01<00:01, 8.26it/s]\n 48%|████▊ | 12/25 [00:01<00:01, 8.26it/s]\n 52%|█████▏ | 13/25 [00:01<00:01, 8.27it/s]\n 56%|█████▌ | 14/25 [00:01<00:01, 8.26it/s]\n 60%|██████ | 15/25 [00:01<00:01, 8.28it/s]\n 64%|██████▍ | 16/25 [00:01<00:01, 8.27it/s]\n 68%|██████▊ | 17/25 [00:02<00:00, 8.26it/s]\n 72%|███████▏ | 18/25 [00:02<00:00, 8.26it/s]\n 76%|███████▌ | 19/25 [00:02<00:00, 8.26it/s]\n 80%|████████ | 20/25 [00:02<00:00, 8.26it/s]\n 84%|████████▍ | 21/25 [00:02<00:00, 8.26it/s]\n 88%|████████▊ | 22/25 [00:02<00:00, 8.25it/s]\n 92%|█████████▏| 23/25 [00:02<00:00, 8.25it/s]\n 96%|█████████▌| 24/25 [00:02<00:00, 8.24it/s]\n100%|██████████| 25/25 [00:03<00:00, 8.23it/s]\n100%|██████████| 25/25 [00:03<00:00, 8.26it/s]", "metrics": { "predict_time": 4.924029, "total_time": 4.961447 }, "output": [ "https://replicate.delivery/pbxt/c3y1jtRtJY7EDtJClSO3eHtdZAlXmnIAR6ITPSYiedNeMAJkA/out-0.png" ], "started_at": "2023-12-21T14:45:47.028022Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/pd5bvftby7cdba73w6dbhuodla", "cancel": "https://api.replicate.com/v1/predictions/pd5bvftby7cdba73w6dbhuodla/cancel" }, "version": "33279060bbbb8858700eb2146350a98d96ef334fcf817f37eb05915e1534aa1c" }Generated inUsing seed: 13068 Prompt: A color portrait photo of a man wearing sunglasses txt2img mode 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:02, 8.36it/s] 8%|▊ | 2/25 [00:00<00:02, 8.31it/s] 12%|█▏ | 3/25 [00:00<00:02, 8.28it/s] 16%|█▌ | 4/25 [00:00<00:02, 8.27it/s] 20%|██ | 5/25 [00:00<00:02, 8.25it/s] 24%|██▍ | 6/25 [00:00<00:02, 8.27it/s] 28%|██▊ | 7/25 [00:00<00:02, 8.27it/s] 32%|███▏ | 8/25 [00:00<00:02, 8.25it/s] 36%|███▌ | 9/25 [00:01<00:01, 8.25it/s] 40%|████ | 10/25 [00:01<00:01, 8.25it/s] 44%|████▍ | 11/25 [00:01<00:01, 8.26it/s] 48%|████▊ | 12/25 [00:01<00:01, 8.26it/s] 52%|█████▏ | 13/25 [00:01<00:01, 8.27it/s] 56%|█████▌ | 14/25 [00:01<00:01, 8.26it/s] 60%|██████ | 15/25 [00:01<00:01, 8.28it/s] 64%|██████▍ | 16/25 [00:01<00:01, 8.27it/s] 68%|██████▊ | 17/25 [00:02<00:00, 8.26it/s] 72%|███████▏ | 18/25 [00:02<00:00, 8.26it/s] 76%|███████▌ | 19/25 [00:02<00:00, 8.26it/s] 80%|████████ | 20/25 [00:02<00:00, 8.26it/s] 84%|████████▍ | 21/25 [00:02<00:00, 8.26it/s] 88%|████████▊ | 22/25 [00:02<00:00, 8.25it/s] 92%|█████████▏| 23/25 [00:02<00:00, 8.25it/s] 96%|█████████▌| 24/25 [00:02<00:00, 8.24it/s] 100%|██████████| 25/25 [00:03<00:00, 8.23it/s] 100%|██████████| 25/25 [00:03<00:00, 8.26it/s]Prediction
fofr/realvisxl-v3:33279060bbbb8858700eb2146350a98d96ef334fcf817f37eb05915e1534aa1cID4maz2ctb4sx4swgauvv3vra4suStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 768
- height
- 768
- prompt
- A landscape photo of iceland, with aurora, snow, ice and erupting lava
- refine
- no_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch
- prompt_strength
- 0.8
- num_inference_steps
- 25
{ "width": 768, "height": 768, "prompt": "A landscape photo of iceland, with aurora, snow, ice and erupting lava", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch", "prompt_strength": 0.8, "num_inference_steps": 25 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run fofr/realvisxl-v3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/realvisxl-v3:33279060bbbb8858700eb2146350a98d96ef334fcf817f37eb05915e1534aa1c", { input: { width: 768, height: 768, prompt: "A landscape photo of iceland, with aurora, snow, ice and erupting lava", refine: "no_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: false, high_noise_frac: 0.8, negative_prompt: "worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch", prompt_strength: 0.8, num_inference_steps: 25 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun fofr/realvisxl-v3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/realvisxl-v3:33279060bbbb8858700eb2146350a98d96ef334fcf817f37eb05915e1534aa1c", input={ "width": 768, "height": 768, "prompt": "A landscape photo of iceland, with aurora, snow, ice and erupting lava", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": False, "high_noise_frac": 0.8, "negative_prompt": "worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch", "prompt_strength": 0.8, "num_inference_steps": 25 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run fofr/realvisxl-v3 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": "33279060bbbb8858700eb2146350a98d96ef334fcf817f37eb05915e1534aa1c", "input": { "width": 768, "height": 768, "prompt": "A landscape photo of iceland, with aurora, snow, ice and erupting lava", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch", "prompt_strength": 0.8, "num_inference_steps": 25 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-21T14:46:25.200225Z", "created_at": "2023-12-21T14:46:20.031072Z", "data_removed": false, "error": null, "id": "4maz2ctb4sx4swgauvv3vra4su", "input": { "width": 768, "height": 768, "prompt": "A landscape photo of iceland, with aurora, snow, ice and erupting lava", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch", "prompt_strength": 0.8, "num_inference_steps": 25 }, "logs": "Using seed: 18328\nPrompt: A landscape photo of iceland, with aurora, snow, ice and erupting lava\ntxt2img mode\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:00<00:02, 8.37it/s]\n 8%|▊ | 2/25 [00:00<00:02, 8.30it/s]\n 12%|█▏ | 3/25 [00:00<00:02, 8.28it/s]\n 16%|█▌ | 4/25 [00:00<00:02, 8.29it/s]\n 20%|██ | 5/25 [00:00<00:02, 8.29it/s]\n 24%|██▍ | 6/25 [00:00<00:02, 8.28it/s]\n 28%|██▊ | 7/25 [00:00<00:02, 8.28it/s]\n 32%|███▏ | 8/25 [00:00<00:02, 8.29it/s]\n 36%|███▌ | 9/25 [00:01<00:01, 8.27it/s]\n 40%|████ | 10/25 [00:01<00:01, 8.25it/s]\n 44%|████▍ | 11/25 [00:01<00:01, 8.26it/s]\n 48%|████▊ | 12/25 [00:01<00:01, 8.26it/s]\n 52%|█████▏ | 13/25 [00:01<00:01, 8.28it/s]\n 56%|█████▌ | 14/25 [00:01<00:01, 8.27it/s]\n 60%|██████ | 15/25 [00:01<00:01, 8.26it/s]\n 64%|██████▍ | 16/25 [00:01<00:01, 8.27it/s]\n 68%|██████▊ | 17/25 [00:02<00:00, 8.25it/s]\n 72%|███████▏ | 18/25 [00:02<00:00, 8.25it/s]\n 76%|███████▌ | 19/25 [00:02<00:00, 8.25it/s]\n 80%|████████ | 20/25 [00:02<00:00, 8.26it/s]\n 84%|████████▍ | 21/25 [00:02<00:00, 8.26it/s]\n 88%|████████▊ | 22/25 [00:02<00:00, 8.27it/s]\n 92%|█████████▏| 23/25 [00:02<00:00, 8.26it/s]\n 96%|█████████▌| 24/25 [00:02<00:00, 8.27it/s]\n100%|██████████| 25/25 [00:03<00:00, 8.26it/s]\n100%|██████████| 25/25 [00:03<00:00, 8.27it/s]", "metrics": { "predict_time": 4.90551, "total_time": 5.169153 }, "output": [ "https://replicate.delivery/pbxt/wW78ek6TQ3RmdCurfr3AwBGRdXzqs4WQ4mUE2zhLn9EAHgESA/out-0.png" ], "started_at": "2023-12-21T14:46:20.294715Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/4maz2ctb4sx4swgauvv3vra4su", "cancel": "https://api.replicate.com/v1/predictions/4maz2ctb4sx4swgauvv3vra4su/cancel" }, "version": "33279060bbbb8858700eb2146350a98d96ef334fcf817f37eb05915e1534aa1c" }Generated inUsing seed: 18328 Prompt: A landscape photo of iceland, with aurora, snow, ice and erupting lava txt2img mode 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:02, 8.37it/s] 8%|▊ | 2/25 [00:00<00:02, 8.30it/s] 12%|█▏ | 3/25 [00:00<00:02, 8.28it/s] 16%|█▌ | 4/25 [00:00<00:02, 8.29it/s] 20%|██ | 5/25 [00:00<00:02, 8.29it/s] 24%|██▍ | 6/25 [00:00<00:02, 8.28it/s] 28%|██▊ | 7/25 [00:00<00:02, 8.28it/s] 32%|███▏ | 8/25 [00:00<00:02, 8.29it/s] 36%|███▌ | 9/25 [00:01<00:01, 8.27it/s] 40%|████ | 10/25 [00:01<00:01, 8.25it/s] 44%|████▍ | 11/25 [00:01<00:01, 8.26it/s] 48%|████▊ | 12/25 [00:01<00:01, 8.26it/s] 52%|█████▏ | 13/25 [00:01<00:01, 8.28it/s] 56%|█████▌ | 14/25 [00:01<00:01, 8.27it/s] 60%|██████ | 15/25 [00:01<00:01, 8.26it/s] 64%|██████▍ | 16/25 [00:01<00:01, 8.27it/s] 68%|██████▊ | 17/25 [00:02<00:00, 8.25it/s] 72%|███████▏ | 18/25 [00:02<00:00, 8.25it/s] 76%|███████▌ | 19/25 [00:02<00:00, 8.25it/s] 80%|████████ | 20/25 [00:02<00:00, 8.26it/s] 84%|████████▍ | 21/25 [00:02<00:00, 8.26it/s] 88%|████████▊ | 22/25 [00:02<00:00, 8.27it/s] 92%|█████████▏| 23/25 [00:02<00:00, 8.26it/s] 96%|█████████▌| 24/25 [00:02<00:00, 8.27it/s] 100%|██████████| 25/25 [00:03<00:00, 8.26it/s] 100%|██████████| 25/25 [00:03<00:00, 8.27it/s]Prediction
fofr/realvisxl-v3:33279060bbbb8858700eb2146350a98d96ef334fcf817f37eb05915e1534aa1cIDfkq7ja3b2w7tvyejqsmeq2lcwuStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- dark shot, front shot, closeup photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot
- refine
- no_refiner
- scheduler
- KarrasDPM
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)
- prompt_strength
- 0.8
- num_inference_steps
- 25
{ "width": 1024, "height": 1024, "prompt": "dark shot, front shot, closeup photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot", "refine": "no_refiner", "scheduler": "KarrasDPM", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)", "prompt_strength": 0.8, "num_inference_steps": 25 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run fofr/realvisxl-v3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/realvisxl-v3:33279060bbbb8858700eb2146350a98d96ef334fcf817f37eb05915e1534aa1c", { input: { width: 1024, height: 1024, prompt: "dark shot, front shot, closeup photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot", refine: "no_refiner", scheduler: "KarrasDPM", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: false, high_noise_frac: 0.8, negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)", prompt_strength: 0.8, num_inference_steps: 25 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun fofr/realvisxl-v3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/realvisxl-v3:33279060bbbb8858700eb2146350a98d96ef334fcf817f37eb05915e1534aa1c", input={ "width": 1024, "height": 1024, "prompt": "dark shot, front shot, closeup photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot", "refine": "no_refiner", "scheduler": "KarrasDPM", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": False, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)", "prompt_strength": 0.8, "num_inference_steps": 25 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run fofr/realvisxl-v3 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": "33279060bbbb8858700eb2146350a98d96ef334fcf817f37eb05915e1534aa1c", "input": { "width": 1024, "height": 1024, "prompt": "dark shot, front shot, closeup photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot", "refine": "no_refiner", "scheduler": "KarrasDPM", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)", "prompt_strength": 0.8, "num_inference_steps": 25 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-21T14:52:46.656625Z", "created_at": "2023-12-21T14:52:39.253191Z", "data_removed": false, "error": null, "id": "fkq7ja3b2w7tvyejqsmeq2lcwu", "input": { "width": 1024, "height": 1024, "prompt": "dark shot, front shot, closeup photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot", "refine": "no_refiner", "scheduler": "KarrasDPM", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)", "prompt_strength": 0.8, "num_inference_steps": 25 }, "logs": "Using seed: 7111\nPrompt: dark shot, front shot, closeup photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot\ntxt2img mode\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:00<00:04, 5.02it/s]\n 8%|▊ | 2/25 [00:00<00:04, 4.99it/s]\n 12%|█▏ | 3/25 [00:00<00:04, 4.97it/s]\n 16%|█▌ | 4/25 [00:00<00:04, 4.96it/s]\n 20%|██ | 5/25 [00:01<00:04, 4.93it/s]\n 24%|██▍ | 6/25 [00:01<00:03, 4.93it/s]\n 28%|██▊ | 7/25 [00:01<00:03, 4.93it/s]\n 32%|███▏ | 8/25 [00:01<00:03, 4.94it/s]\n 36%|███▌ | 9/25 [00:01<00:03, 4.94it/s]\n 40%|████ | 10/25 [00:02<00:03, 4.93it/s]\n 44%|████▍ | 11/25 [00:02<00:02, 4.92it/s]\n 48%|████▊ | 12/25 [00:02<00:02, 4.92it/s]\n 52%|█████▏ | 13/25 [00:02<00:02, 4.93it/s]\n 56%|█████▌ | 14/25 [00:02<00:02, 4.93it/s]\n 60%|██████ | 15/25 [00:03<00:02, 4.93it/s]\n 64%|██████▍ | 16/25 [00:03<00:01, 4.92it/s]\n 68%|██████▊ | 17/25 [00:03<00:01, 4.92it/s]\n 72%|███████▏ | 18/25 [00:03<00:01, 4.92it/s]\n 76%|███████▌ | 19/25 [00:03<00:01, 4.92it/s]\n 80%|████████ | 20/25 [00:04<00:01, 4.92it/s]\n 84%|████████▍ | 21/25 [00:04<00:00, 4.92it/s]\n 88%|████████▊ | 22/25 [00:04<00:00, 4.92it/s]\n 92%|█████████▏| 23/25 [00:04<00:00, 4.92it/s]\n 96%|█████████▌| 24/25 [00:04<00:00, 4.92it/s]\n100%|██████████| 25/25 [00:05<00:00, 4.92it/s]\n100%|██████████| 25/25 [00:05<00:00, 4.93it/s]", "metrics": { "predict_time": 7.366506, "total_time": 7.403434 }, "output": [ "https://replicate.delivery/pbxt/kyWj8pmtlnL7MBqbOEk1Gvnj0nilkwIYpLncrSIkFJfeMgESA/out-0.png" ], "started_at": "2023-12-21T14:52:39.290119Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/fkq7ja3b2w7tvyejqsmeq2lcwu", "cancel": "https://api.replicate.com/v1/predictions/fkq7ja3b2w7tvyejqsmeq2lcwu/cancel" }, "version": "33279060bbbb8858700eb2146350a98d96ef334fcf817f37eb05915e1534aa1c" }Generated inUsing seed: 7111 Prompt: dark shot, front shot, closeup photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot txt2img mode 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:04, 5.02it/s] 8%|▊ | 2/25 [00:00<00:04, 4.99it/s] 12%|█▏ | 3/25 [00:00<00:04, 4.97it/s] 16%|█▌ | 4/25 [00:00<00:04, 4.96it/s] 20%|██ | 5/25 [00:01<00:04, 4.93it/s] 24%|██▍ | 6/25 [00:01<00:03, 4.93it/s] 28%|██▊ | 7/25 [00:01<00:03, 4.93it/s] 32%|███▏ | 8/25 [00:01<00:03, 4.94it/s] 36%|███▌ | 9/25 [00:01<00:03, 4.94it/s] 40%|████ | 10/25 [00:02<00:03, 4.93it/s] 44%|████▍ | 11/25 [00:02<00:02, 4.92it/s] 48%|████▊ | 12/25 [00:02<00:02, 4.92it/s] 52%|█████▏ | 13/25 [00:02<00:02, 4.93it/s] 56%|█████▌ | 14/25 [00:02<00:02, 4.93it/s] 60%|██████ | 15/25 [00:03<00:02, 4.93it/s] 64%|██████▍ | 16/25 [00:03<00:01, 4.92it/s] 68%|██████▊ | 17/25 [00:03<00:01, 4.92it/s] 72%|███████▏ | 18/25 [00:03<00:01, 4.92it/s] 76%|███████▌ | 19/25 [00:03<00:01, 4.92it/s] 80%|████████ | 20/25 [00:04<00:01, 4.92it/s] 84%|████████▍ | 21/25 [00:04<00:00, 4.92it/s] 88%|████████▊ | 22/25 [00:04<00:00, 4.92it/s] 92%|█████████▏| 23/25 [00:04<00:00, 4.92it/s] 96%|█████████▌| 24/25 [00:04<00:00, 4.92it/s] 100%|██████████| 25/25 [00:05<00:00, 4.92it/s] 100%|██████████| 25/25 [00:05<00:00, 4.93it/s]
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