fofr
/
sdxl-vision-pro
An SDXL fine-tune on Apple Vision Pro
- Public
- 5.3K runs
-
L40S
Prediction
fofr/sdxl-vision-pro:858d66f10a520248ae48fd5c6661578fef8982ffd1a272f58c2a16ef803dd744IDf24lb6tbispbm2hnm34p7izb7qStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- A photo of gandalf wearing a TOK VR headset, faces visible
- refine
- expert_ensemble_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.95
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 1024, "height": 1024, "prompt": "A photo of gandalf wearing a TOK VR headset, faces visible", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.95, "prompt_strength": 0.8, "num_inference_steps": 50 }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/sdxl-vision-pro using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/sdxl-vision-pro:858d66f10a520248ae48fd5c6661578fef8982ffd1a272f58c2a16ef803dd744", { input: { width: 1024, height: 1024, prompt: "A photo of gandalf wearing a TOK VR headset, faces visible", refine: "expert_ensemble_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: false, high_noise_frac: 0.95, 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 replicateImport the client:import replicateRun fofr/sdxl-vision-pro using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/sdxl-vision-pro:858d66f10a520248ae48fd5c6661578fef8982ffd1a272f58c2a16ef803dd744", input={ "width": 1024, "height": 1024, "prompt": "A photo of gandalf wearing a TOK VR headset, faces visible", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": False, "high_noise_frac": 0.95, "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-vision-pro 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-vision-pro:858d66f10a520248ae48fd5c6661578fef8982ffd1a272f58c2a16ef803dd744", "input": { "width": 1024, "height": 1024, "prompt": "A photo of gandalf wearing a TOK VR headset, faces visible", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.95, "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-08-10T15:24:22.268050Z", "created_at": "2023-08-10T15:24:06.792013Z", "data_removed": false, "error": null, "id": "f24lb6tbispbm2hnm34p7izb7q", "input": { "width": 1024, "height": 1024, "prompt": "A photo of gandalf wearing a TOK VR headset, faces visible", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.95, "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 16149\nPrompt: A photo of gandalf wearing a <s0><s1> VR headset, faces visible\ntxt2img mode\n 0%| | 0/47 [00:00<?, ?it/s]\n 2%|▏ | 1/47 [00:00<00:12, 3.66it/s]\n 4%|▍ | 2/47 [00:00<00:12, 3.67it/s]\n 6%|▋ | 3/47 [00:00<00:11, 3.67it/s]\n 9%|▊ | 4/47 [00:01<00:11, 3.67it/s]\n 11%|█ | 5/47 [00:01<00:11, 3.66it/s]\n 13%|█▎ | 6/47 [00:01<00:11, 3.66it/s]\n 15%|█▍ | 7/47 [00:01<00:10, 3.67it/s]\n 17%|█▋ | 8/47 [00:02<00:10, 3.66it/s]\n 19%|█▉ | 9/47 [00:02<00:10, 3.66it/s]\n 21%|██▏ | 10/47 [00:02<00:10, 3.66it/s]\n 23%|██▎ | 11/47 [00:03<00:09, 3.65it/s]\n 26%|██▌ | 12/47 [00:03<00:09, 3.66it/s]\n 28%|██▊ | 13/47 [00:03<00:09, 3.65it/s]\n 30%|██▉ | 14/47 [00:03<00:09, 3.65it/s]\n 32%|███▏ | 15/47 [00:04<00:08, 3.65it/s]\n 34%|███▍ | 16/47 [00:04<00:08, 3.65it/s]\n 36%|███▌ | 17/47 [00:04<00:08, 3.65it/s]\n 38%|███▊ | 18/47 [00:04<00:07, 3.65it/s]\n 40%|████ | 19/47 [00:05<00:07, 3.65it/s]\n 43%|████▎ | 20/47 [00:05<00:07, 3.65it/s]\n 45%|████▍ | 21/47 [00:05<00:07, 3.65it/s]\n 47%|████▋ | 22/47 [00:06<00:06, 3.65it/s]\n 49%|████▉ | 23/47 [00:06<00:06, 3.65it/s]\n 51%|█████ | 24/47 [00:06<00:06, 3.65it/s]\n 53%|█████▎ | 25/47 [00:06<00:06, 3.65it/s]\n 55%|█████▌ | 26/47 [00:07<00:05, 3.65it/s]\n 57%|█████▋ | 27/47 [00:07<00:05, 3.65it/s]\n 60%|█████▉ | 28/47 [00:07<00:05, 3.65it/s]\n 62%|██████▏ | 29/47 [00:07<00:04, 3.65it/s]\n 64%|██████▍ | 30/47 [00:08<00:04, 3.65it/s]\n 66%|██████▌ | 31/47 [00:08<00:04, 3.64it/s]\n 68%|██████▊ | 32/47 [00:08<00:04, 3.64it/s]\n 70%|███████ | 33/47 [00:09<00:03, 3.64it/s]\n 72%|███████▏ | 34/47 [00:09<00:03, 3.64it/s]\n 74%|███████▍ | 35/47 [00:09<00:03, 3.64it/s]\n 77%|███████▋ | 36/47 [00:09<00:03, 3.64it/s]\n 79%|███████▊ | 37/47 [00:10<00:02, 3.64it/s]\n 81%|████████ | 38/47 [00:10<00:02, 3.64it/s]\n 83%|████████▎ | 39/47 [00:10<00:02, 3.64it/s]\n 85%|████████▌ | 40/47 [00:10<00:01, 3.64it/s]\n 87%|████████▋ | 41/47 [00:11<00:01, 3.64it/s]\n 89%|████████▉ | 42/47 [00:11<00:01, 3.64it/s]\n 91%|█████████▏| 43/47 [00:11<00:01, 3.64it/s]\n 94%|█████████▎| 44/47 [00:12<00:00, 3.64it/s]\n 96%|█████████▌| 45/47 [00:12<00:00, 3.64it/s]\n 98%|█████████▊| 46/47 [00:12<00:00, 3.64it/s]\n100%|██████████| 47/47 [00:12<00:00, 3.63it/s]\n100%|██████████| 47/47 [00:12<00:00, 3.65it/s]\n 0%| | 0/3 [00:00<?, ?it/s]\n 33%|███▎ | 1/3 [00:00<00:00, 4.31it/s]\n 67%|██████▋ | 2/3 [00:00<00:00, 4.28it/s]\n100%|██████████| 3/3 [00:00<00:00, 4.28it/s]\n100%|██████████| 3/3 [00:00<00:00, 4.28it/s]", "metrics": { "predict_time": 15.485253, "total_time": 15.476037 }, "output": [ "https://replicate.delivery/pbxt/aVhJriYftYQCFCd81DrvNGktIcOlJrb3fifcOTQ3yI7LZWxiA/out-0.png" ], "started_at": "2023-08-10T15:24:06.782797Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/f24lb6tbispbm2hnm34p7izb7q", "cancel": "https://api.replicate.com/v1/predictions/f24lb6tbispbm2hnm34p7izb7q/cancel" }, "version": "858d66f10a520248ae48fd5c6661578fef8982ffd1a272f58c2a16ef803dd744" }Generated inUsing seed: 16149 Prompt: A photo of gandalf wearing a <s0><s1> VR headset, faces visible txt2img mode 0%| | 0/47 [00:00<?, ?it/s] 2%|▏ | 1/47 [00:00<00:12, 3.66it/s] 4%|▍ | 2/47 [00:00<00:12, 3.67it/s] 6%|▋ | 3/47 [00:00<00:11, 3.67it/s] 9%|▊ | 4/47 [00:01<00:11, 3.67it/s] 11%|█ | 5/47 [00:01<00:11, 3.66it/s] 13%|█▎ | 6/47 [00:01<00:11, 3.66it/s] 15%|█▍ | 7/47 [00:01<00:10, 3.67it/s] 17%|█▋ | 8/47 [00:02<00:10, 3.66it/s] 19%|█▉ | 9/47 [00:02<00:10, 3.66it/s] 21%|██▏ | 10/47 [00:02<00:10, 3.66it/s] 23%|██▎ | 11/47 [00:03<00:09, 3.65it/s] 26%|██▌ | 12/47 [00:03<00:09, 3.66it/s] 28%|██▊ | 13/47 [00:03<00:09, 3.65it/s] 30%|██▉ | 14/47 [00:03<00:09, 3.65it/s] 32%|███▏ | 15/47 [00:04<00:08, 3.65it/s] 34%|███▍ | 16/47 [00:04<00:08, 3.65it/s] 36%|███▌ | 17/47 [00:04<00:08, 3.65it/s] 38%|███▊ | 18/47 [00:04<00:07, 3.65it/s] 40%|████ | 19/47 [00:05<00:07, 3.65it/s] 43%|████▎ | 20/47 [00:05<00:07, 3.65it/s] 45%|████▍ | 21/47 [00:05<00:07, 3.65it/s] 47%|████▋ | 22/47 [00:06<00:06, 3.65it/s] 49%|████▉ | 23/47 [00:06<00:06, 3.65it/s] 51%|█████ | 24/47 [00:06<00:06, 3.65it/s] 53%|█████▎ | 25/47 [00:06<00:06, 3.65it/s] 55%|█████▌ | 26/47 [00:07<00:05, 3.65it/s] 57%|█████▋ | 27/47 [00:07<00:05, 3.65it/s] 60%|█████▉ | 28/47 [00:07<00:05, 3.65it/s] 62%|██████▏ | 29/47 [00:07<00:04, 3.65it/s] 64%|██████▍ | 30/47 [00:08<00:04, 3.65it/s] 66%|██████▌ | 31/47 [00:08<00:04, 3.64it/s] 68%|██████▊ | 32/47 [00:08<00:04, 3.64it/s] 70%|███████ | 33/47 [00:09<00:03, 3.64it/s] 72%|███████▏ | 34/47 [00:09<00:03, 3.64it/s] 74%|███████▍ | 35/47 [00:09<00:03, 3.64it/s] 77%|███████▋ | 36/47 [00:09<00:03, 3.64it/s] 79%|███████▊ | 37/47 [00:10<00:02, 3.64it/s] 81%|████████ | 38/47 [00:10<00:02, 3.64it/s] 83%|████████▎ | 39/47 [00:10<00:02, 3.64it/s] 85%|████████▌ | 40/47 [00:10<00:01, 3.64it/s] 87%|████████▋ | 41/47 [00:11<00:01, 3.64it/s] 89%|████████▉ | 42/47 [00:11<00:01, 3.64it/s] 91%|█████████▏| 43/47 [00:11<00:01, 3.64it/s] 94%|█████████▎| 44/47 [00:12<00:00, 3.64it/s] 96%|█████████▌| 45/47 [00:12<00:00, 3.64it/s] 98%|█████████▊| 46/47 [00:12<00:00, 3.64it/s] 100%|██████████| 47/47 [00:12<00:00, 3.63it/s] 100%|██████████| 47/47 [00:12<00:00, 3.65it/s] 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:00<00:00, 4.31it/s] 67%|██████▋ | 2/3 [00:00<00:00, 4.28it/s] 100%|██████████| 3/3 [00:00<00:00, 4.28it/s] 100%|██████████| 3/3 [00:00<00:00, 4.28it/s]Prediction
fofr/sdxl-vision-pro:858d66f10a520248ae48fd5c6661578fef8982ffd1a272f58c2a16ef803dd744IDcsufgxtb37p5siwpepybymxzuqStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- A promo photo of a TOK VR headset on display in a shop
- refine
- expert_ensemble_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.95
- negative_prompt
- person, people, top strap
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 1024, "height": 1024, "prompt": "A promo photo of a TOK VR headset on display in a shop", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.95, "negative_prompt": "person, people, top strap", "prompt_strength": 0.8, "num_inference_steps": 50 }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/sdxl-vision-pro using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/sdxl-vision-pro:858d66f10a520248ae48fd5c6661578fef8982ffd1a272f58c2a16ef803dd744", { input: { width: 1024, height: 1024, prompt: "A promo photo of a TOK VR headset on display in a shop", refine: "expert_ensemble_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: false, high_noise_frac: 0.95, negative_prompt: "person, people, top strap", 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 replicateImport the client:import replicateRun fofr/sdxl-vision-pro using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/sdxl-vision-pro:858d66f10a520248ae48fd5c6661578fef8982ffd1a272f58c2a16ef803dd744", input={ "width": 1024, "height": 1024, "prompt": "A promo photo of a TOK VR headset on display in a shop", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": False, "high_noise_frac": 0.95, "negative_prompt": "person, people, top strap", "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-vision-pro 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-vision-pro:858d66f10a520248ae48fd5c6661578fef8982ffd1a272f58c2a16ef803dd744", "input": { "width": 1024, "height": 1024, "prompt": "A promo photo of a TOK VR headset on display in a shop", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.95, "negative_prompt": "person, people, top strap", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-08-10T15:33:10.085275Z", "created_at": "2023-08-10T15:32:54.693711Z", "data_removed": false, "error": null, "id": "csufgxtb37p5siwpepybymxzuq", "input": { "width": 1024, "height": 1024, "prompt": "A promo photo of a TOK VR headset on display in a shop", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.95, "negative_prompt": "person, people, top strap", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 57526\nPrompt: A promo photo of a <s0><s1> VR headset on display in a shop\ntxt2img mode\n 0%| | 0/47 [00:00<?, ?it/s]\n 2%|▏ | 1/47 [00:00<00:12, 3.66it/s]\n 4%|▍ | 2/47 [00:00<00:12, 3.66it/s]\n 6%|▋ | 3/47 [00:00<00:11, 3.67it/s]\n 9%|▊ | 4/47 [00:01<00:11, 3.67it/s]\n 11%|█ | 5/47 [00:01<00:11, 3.66it/s]\n 13%|█▎ | 6/47 [00:01<00:11, 3.66it/s]\n 15%|█▍ | 7/47 [00:01<00:10, 3.66it/s]\n 17%|█▋ | 8/47 [00:02<00:10, 3.66it/s]\n 19%|█▉ | 9/47 [00:02<00:10, 3.66it/s]\n 21%|██▏ | 10/47 [00:02<00:10, 3.66it/s]\n 23%|██▎ | 11/47 [00:03<00:09, 3.66it/s]\n 26%|██▌ | 12/47 [00:03<00:09, 3.66it/s]\n 28%|██▊ | 13/47 [00:03<00:09, 3.66it/s]\n 30%|██▉ | 14/47 [00:03<00:09, 3.66it/s]\n 32%|███▏ | 15/47 [00:04<00:08, 3.66it/s]\n 34%|███▍ | 16/47 [00:04<00:08, 3.65it/s]\n 36%|███▌ | 17/47 [00:04<00:08, 3.65it/s]\n 38%|███▊ | 18/47 [00:04<00:07, 3.65it/s]\n 40%|████ | 19/47 [00:05<00:07, 3.66it/s]\n 43%|████▎ | 20/47 [00:05<00:07, 3.65it/s]\n 45%|████▍ | 21/47 [00:05<00:07, 3.65it/s]\n 47%|████▋ | 22/47 [00:06<00:06, 3.65it/s]\n 49%|████▉ | 23/47 [00:06<00:06, 3.65it/s]\n 51%|█████ | 24/47 [00:06<00:06, 3.65it/s]\n 53%|█████▎ | 25/47 [00:06<00:06, 3.65it/s]\n 55%|█████▌ | 26/47 [00:07<00:05, 3.65it/s]\n 57%|█████▋ | 27/47 [00:07<00:05, 3.65it/s]\n 60%|█████▉ | 28/47 [00:07<00:05, 3.64it/s]\n 62%|██████▏ | 29/47 [00:07<00:04, 3.64it/s]\n 64%|██████▍ | 30/47 [00:08<00:04, 3.65it/s]\n 66%|██████▌ | 31/47 [00:08<00:04, 3.65it/s]\n 68%|██████▊ | 32/47 [00:08<00:04, 3.64it/s]\n 70%|███████ | 33/47 [00:09<00:03, 3.64it/s]\n 72%|███████▏ | 34/47 [00:09<00:03, 3.64it/s]\n 74%|███████▍ | 35/47 [00:09<00:03, 3.64it/s]\n 77%|███████▋ | 36/47 [00:09<00:03, 3.64it/s]\n 79%|███████▊ | 37/47 [00:10<00:02, 3.64it/s]\n 81%|████████ | 38/47 [00:10<00:02, 3.64it/s]\n 83%|████████▎ | 39/47 [00:10<00:02, 3.64it/s]\n 85%|████████▌ | 40/47 [00:10<00:01, 3.64it/s]\n 87%|████████▋ | 41/47 [00:11<00:01, 3.64it/s]\n 89%|████████▉ | 42/47 [00:11<00:01, 3.64it/s]\n 91%|█████████▏| 43/47 [00:11<00:01, 3.64it/s]\n 94%|█████████▎| 44/47 [00:12<00:00, 3.64it/s]\n 96%|█████████▌| 45/47 [00:12<00:00, 3.64it/s]\n 98%|█████████▊| 46/47 [00:12<00:00, 3.64it/s]\n100%|██████████| 47/47 [00:12<00:00, 3.64it/s]\n100%|██████████| 47/47 [00:12<00:00, 3.65it/s]\n 0%| | 0/3 [00:00<?, ?it/s]\n 33%|███▎ | 1/3 [00:00<00:00, 4.30it/s]\n 67%|██████▋ | 2/3 [00:00<00:00, 4.29it/s]\n100%|██████████| 3/3 [00:00<00:00, 4.28it/s]\n100%|██████████| 3/3 [00:00<00:00, 4.28it/s]", "metrics": { "predict_time": 15.437124, "total_time": 15.391564 }, "output": [ "https://replicate.delivery/pbxt/l3yVn1F46oZJEdIfYjoYBiCwOpoY5vXK759ZGZC0JCzaqVsIA/out-0.png" ], "started_at": "2023-08-10T15:32:54.648151Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/csufgxtb37p5siwpepybymxzuq", "cancel": "https://api.replicate.com/v1/predictions/csufgxtb37p5siwpepybymxzuq/cancel" }, "version": "858d66f10a520248ae48fd5c6661578fef8982ffd1a272f58c2a16ef803dd744" }Generated inUsing seed: 57526 Prompt: A promo photo of a <s0><s1> VR headset on display in a shop txt2img mode 0%| | 0/47 [00:00<?, ?it/s] 2%|▏ | 1/47 [00:00<00:12, 3.66it/s] 4%|▍ | 2/47 [00:00<00:12, 3.66it/s] 6%|▋ | 3/47 [00:00<00:11, 3.67it/s] 9%|▊ | 4/47 [00:01<00:11, 3.67it/s] 11%|█ | 5/47 [00:01<00:11, 3.66it/s] 13%|█▎ | 6/47 [00:01<00:11, 3.66it/s] 15%|█▍ | 7/47 [00:01<00:10, 3.66it/s] 17%|█▋ | 8/47 [00:02<00:10, 3.66it/s] 19%|█▉ | 9/47 [00:02<00:10, 3.66it/s] 21%|██▏ | 10/47 [00:02<00:10, 3.66it/s] 23%|██▎ | 11/47 [00:03<00:09, 3.66it/s] 26%|██▌ | 12/47 [00:03<00:09, 3.66it/s] 28%|██▊ | 13/47 [00:03<00:09, 3.66it/s] 30%|██▉ | 14/47 [00:03<00:09, 3.66it/s] 32%|███▏ | 15/47 [00:04<00:08, 3.66it/s] 34%|███▍ | 16/47 [00:04<00:08, 3.65it/s] 36%|███▌ | 17/47 [00:04<00:08, 3.65it/s] 38%|███▊ | 18/47 [00:04<00:07, 3.65it/s] 40%|████ | 19/47 [00:05<00:07, 3.66it/s] 43%|████▎ | 20/47 [00:05<00:07, 3.65it/s] 45%|████▍ | 21/47 [00:05<00:07, 3.65it/s] 47%|████▋ | 22/47 [00:06<00:06, 3.65it/s] 49%|████▉ | 23/47 [00:06<00:06, 3.65it/s] 51%|█████ | 24/47 [00:06<00:06, 3.65it/s] 53%|█████▎ | 25/47 [00:06<00:06, 3.65it/s] 55%|█████▌ | 26/47 [00:07<00:05, 3.65it/s] 57%|█████▋ | 27/47 [00:07<00:05, 3.65it/s] 60%|█████▉ | 28/47 [00:07<00:05, 3.64it/s] 62%|██████▏ | 29/47 [00:07<00:04, 3.64it/s] 64%|██████▍ | 30/47 [00:08<00:04, 3.65it/s] 66%|██████▌ | 31/47 [00:08<00:04, 3.65it/s] 68%|██████▊ | 32/47 [00:08<00:04, 3.64it/s] 70%|███████ | 33/47 [00:09<00:03, 3.64it/s] 72%|███████▏ | 34/47 [00:09<00:03, 3.64it/s] 74%|███████▍ | 35/47 [00:09<00:03, 3.64it/s] 77%|███████▋ | 36/47 [00:09<00:03, 3.64it/s] 79%|███████▊ | 37/47 [00:10<00:02, 3.64it/s] 81%|████████ | 38/47 [00:10<00:02, 3.64it/s] 83%|████████▎ | 39/47 [00:10<00:02, 3.64it/s] 85%|████████▌ | 40/47 [00:10<00:01, 3.64it/s] 87%|████████▋ | 41/47 [00:11<00:01, 3.64it/s] 89%|████████▉ | 42/47 [00:11<00:01, 3.64it/s] 91%|█████████▏| 43/47 [00:11<00:01, 3.64it/s] 94%|█████████▎| 44/47 [00:12<00:00, 3.64it/s] 96%|█████████▌| 45/47 [00:12<00:00, 3.64it/s] 98%|█████████▊| 46/47 [00:12<00:00, 3.64it/s] 100%|██████████| 47/47 [00:12<00:00, 3.64it/s] 100%|██████████| 47/47 [00:12<00:00, 3.65it/s] 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:00<00:00, 4.30it/s] 67%|██████▋ | 2/3 [00:00<00:00, 4.29it/s] 100%|██████████| 3/3 [00:00<00:00, 4.28it/s] 100%|██████████| 3/3 [00:00<00:00, 4.28it/s]Prediction
fofr/sdxl-vision-pro:858d66f10a520248ae48fd5c6661578fef8982ffd1a272f58c2a16ef803dd744IDwutmtm3bcfifw3xydrdpkbxjymStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedby @cbh123Input
- width
- 1600
- height
- 768
- prompt
- A photo of genghis khan wearing a TOK VR headset, faces visible
- refine
- expert_ensemble_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.95
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 1600, "height": 768, "prompt": "A photo of genghis khan wearing a TOK VR headset, faces visible", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.95, "prompt_strength": 0.8, "num_inference_steps": 50 }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/sdxl-vision-pro using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/sdxl-vision-pro:858d66f10a520248ae48fd5c6661578fef8982ffd1a272f58c2a16ef803dd744", { input: { width: 1600, height: 768, prompt: "A photo of genghis khan wearing a TOK VR headset, faces visible", refine: "expert_ensemble_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: false, high_noise_frac: 0.95, 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 replicateImport the client:import replicateRun fofr/sdxl-vision-pro using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/sdxl-vision-pro:858d66f10a520248ae48fd5c6661578fef8982ffd1a272f58c2a16ef803dd744", input={ "width": 1600, "height": 768, "prompt": "A photo of genghis khan wearing a TOK VR headset, faces visible", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": False, "high_noise_frac": 0.95, "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-vision-pro 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-vision-pro:858d66f10a520248ae48fd5c6661578fef8982ffd1a272f58c2a16ef803dd744", "input": { "width": 1600, "height": 768, "prompt": "A photo of genghis khan wearing a TOK VR headset, faces visible", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.95, "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-08-10T15:36:17.793701Z", "created_at": "2023-08-10T15:35:58.905602Z", "data_removed": false, "error": null, "id": "wutmtm3bcfifw3xydrdpkbxjym", "input": { "width": 1600, "height": 768, "prompt": "A photo of genghis khan wearing a TOK VR headset, faces visible", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.95, "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 41679\nPrompt: A photo of genghis khan wearing a <s0><s1> VR headset, faces visible\ntxt2img mode\n 0%| | 0/47 [00:00<?, ?it/s]\n 2%|▏ | 1/47 [00:00<00:15, 2.95it/s]\n 4%|▍ | 2/47 [00:00<00:15, 2.95it/s]\n 6%|▋ | 3/47 [00:01<00:14, 2.95it/s]\n 9%|▊ | 4/47 [00:01<00:14, 2.95it/s]\n 11%|█ | 5/47 [00:01<00:14, 2.95it/s]\n 13%|█▎ | 6/47 [00:02<00:13, 2.95it/s]\n 15%|█▍ | 7/47 [00:02<00:13, 2.94it/s]\n 17%|█▋ | 8/47 [00:02<00:13, 2.94it/s]\n 19%|█▉ | 9/47 [00:03<00:12, 2.94it/s]\n 21%|██▏ | 10/47 [00:03<00:12, 2.94it/s]\n 23%|██▎ | 11/47 [00:03<00:12, 2.94it/s]\n 26%|██▌ | 12/47 [00:04<00:11, 2.94it/s]\n 28%|██▊ | 13/47 [00:04<00:11, 2.94it/s]\n 30%|██▉ | 14/47 [00:04<00:11, 2.94it/s]\n 32%|███▏ | 15/47 [00:05<00:10, 2.93it/s]\n 34%|███▍ | 16/47 [00:05<00:10, 2.94it/s]\n 36%|███▌ | 17/47 [00:05<00:10, 2.94it/s]\n 38%|███▊ | 18/47 [00:06<00:09, 2.94it/s]\n 40%|████ | 19/47 [00:06<00:09, 2.94it/s]\n 43%|████▎ | 20/47 [00:06<00:09, 2.94it/s]\n 45%|████▍ | 21/47 [00:07<00:08, 2.94it/s]\n 47%|████▋ | 22/47 [00:07<00:08, 2.94it/s]\n 49%|████▉ | 23/47 [00:07<00:08, 2.94it/s]\n 51%|█████ | 24/47 [00:08<00:07, 2.94it/s]\n 53%|█████▎ | 25/47 [00:08<00:07, 2.93it/s]\n 55%|█████▌ | 26/47 [00:08<00:07, 2.93it/s]\n 57%|█████▋ | 27/47 [00:09<00:06, 2.93it/s]\n 60%|█████▉ | 28/47 [00:09<00:06, 2.93it/s]\n 62%|██████▏ | 29/47 [00:09<00:06, 2.94it/s]\n 64%|██████▍ | 30/47 [00:10<00:05, 2.94it/s]\n 66%|██████▌ | 31/47 [00:10<00:05, 2.94it/s]\n 68%|██████▊ | 32/47 [00:10<00:05, 2.94it/s]\n 70%|███████ | 33/47 [00:11<00:04, 2.94it/s]\n 72%|███████▏ | 34/47 [00:11<00:04, 2.94it/s]\n 74%|███████▍ | 35/47 [00:11<00:04, 2.93it/s]\n 77%|███████▋ | 36/47 [00:12<00:03, 2.93it/s]\n 79%|███████▊ | 37/47 [00:12<00:03, 2.94it/s]\n 81%|████████ | 38/47 [00:12<00:03, 2.94it/s]\n 83%|████████▎ | 39/47 [00:13<00:02, 2.94it/s]\n 85%|████████▌ | 40/47 [00:13<00:02, 2.94it/s]\n 87%|████████▋ | 41/47 [00:13<00:02, 2.93it/s]\n 89%|████████▉ | 42/47 [00:14<00:01, 2.93it/s]\n 91%|█████████▏| 43/47 [00:14<00:01, 2.93it/s]\n 94%|█████████▎| 44/47 [00:14<00:01, 2.93it/s]\n 96%|█████████▌| 45/47 [00:15<00:00, 2.93it/s]\n 98%|█████████▊| 46/47 [00:15<00:00, 2.93it/s]\n100%|██████████| 47/47 [00:16<00:00, 2.93it/s]\n100%|██████████| 47/47 [00:16<00:00, 2.94it/s]\n 0%| | 0/3 [00:00<?, ?it/s]\n 33%|███▎ | 1/3 [00:00<00:00, 3.63it/s]\n 67%|██████▋ | 2/3 [00:00<00:00, 3.61it/s]\n100%|██████████| 3/3 [00:00<00:00, 3.61it/s]\n100%|██████████| 3/3 [00:00<00:00, 3.61it/s]", "metrics": { "predict_time": 18.93347, "total_time": 18.888099 }, "output": [ "https://replicate.delivery/pbxt/bB7QCm2KBHIWOh4uPeKQOolk3Yuynam66yqlf86WNEbwXrYRA/out-0.png" ], "started_at": "2023-08-10T15:35:58.860231Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/wutmtm3bcfifw3xydrdpkbxjym", "cancel": "https://api.replicate.com/v1/predictions/wutmtm3bcfifw3xydrdpkbxjym/cancel" }, "version": "858d66f10a520248ae48fd5c6661578fef8982ffd1a272f58c2a16ef803dd744" }Generated inUsing seed: 41679 Prompt: A photo of genghis khan wearing a <s0><s1> VR headset, faces visible txt2img mode 0%| | 0/47 [00:00<?, ?it/s] 2%|▏ | 1/47 [00:00<00:15, 2.95it/s] 4%|▍ | 2/47 [00:00<00:15, 2.95it/s] 6%|▋ | 3/47 [00:01<00:14, 2.95it/s] 9%|▊ | 4/47 [00:01<00:14, 2.95it/s] 11%|█ | 5/47 [00:01<00:14, 2.95it/s] 13%|█▎ | 6/47 [00:02<00:13, 2.95it/s] 15%|█▍ | 7/47 [00:02<00:13, 2.94it/s] 17%|█▋ | 8/47 [00:02<00:13, 2.94it/s] 19%|█▉ | 9/47 [00:03<00:12, 2.94it/s] 21%|██▏ | 10/47 [00:03<00:12, 2.94it/s] 23%|██▎ | 11/47 [00:03<00:12, 2.94it/s] 26%|██▌ | 12/47 [00:04<00:11, 2.94it/s] 28%|██▊ | 13/47 [00:04<00:11, 2.94it/s] 30%|██▉ | 14/47 [00:04<00:11, 2.94it/s] 32%|███▏ | 15/47 [00:05<00:10, 2.93it/s] 34%|███▍ | 16/47 [00:05<00:10, 2.94it/s] 36%|███▌ | 17/47 [00:05<00:10, 2.94it/s] 38%|███▊ | 18/47 [00:06<00:09, 2.94it/s] 40%|████ | 19/47 [00:06<00:09, 2.94it/s] 43%|████▎ | 20/47 [00:06<00:09, 2.94it/s] 45%|████▍ | 21/47 [00:07<00:08, 2.94it/s] 47%|████▋ | 22/47 [00:07<00:08, 2.94it/s] 49%|████▉ | 23/47 [00:07<00:08, 2.94it/s] 51%|█████ | 24/47 [00:08<00:07, 2.94it/s] 53%|█████▎ | 25/47 [00:08<00:07, 2.93it/s] 55%|█████▌ | 26/47 [00:08<00:07, 2.93it/s] 57%|█████▋ | 27/47 [00:09<00:06, 2.93it/s] 60%|█████▉ | 28/47 [00:09<00:06, 2.93it/s] 62%|██████▏ | 29/47 [00:09<00:06, 2.94it/s] 64%|██████▍ | 30/47 [00:10<00:05, 2.94it/s] 66%|██████▌ | 31/47 [00:10<00:05, 2.94it/s] 68%|██████▊ | 32/47 [00:10<00:05, 2.94it/s] 70%|███████ | 33/47 [00:11<00:04, 2.94it/s] 72%|███████▏ | 34/47 [00:11<00:04, 2.94it/s] 74%|███████▍ | 35/47 [00:11<00:04, 2.93it/s] 77%|███████▋ | 36/47 [00:12<00:03, 2.93it/s] 79%|███████▊ | 37/47 [00:12<00:03, 2.94it/s] 81%|████████ | 38/47 [00:12<00:03, 2.94it/s] 83%|████████▎ | 39/47 [00:13<00:02, 2.94it/s] 85%|████████▌ | 40/47 [00:13<00:02, 2.94it/s] 87%|████████▋ | 41/47 [00:13<00:02, 2.93it/s] 89%|████████▉ | 42/47 [00:14<00:01, 2.93it/s] 91%|█████████▏| 43/47 [00:14<00:01, 2.93it/s] 94%|█████████▎| 44/47 [00:14<00:01, 2.93it/s] 96%|█████████▌| 45/47 [00:15<00:00, 2.93it/s] 98%|█████████▊| 46/47 [00:15<00:00, 2.93it/s] 100%|██████████| 47/47 [00:16<00:00, 2.93it/s] 100%|██████████| 47/47 [00:16<00:00, 2.94it/s] 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:00<00:00, 3.63it/s] 67%|██████▋ | 2/3 [00:00<00:00, 3.61it/s] 100%|██████████| 3/3 [00:00<00:00, 3.61it/s] 100%|██████████| 3/3 [00:00<00:00, 3.61it/s]Prediction
fofr/sdxl-vision-pro:858d66f10a520248ae48fd5c6661578fef8982ffd1a272f58c2a16ef803dd744IDbvzdpzdbqwgnk3yvhldkxld56yStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedby @cbh123Input
- width
- 1600
- height
- 768
- prompt
- A photo a white cat wearing a TOK VR headset, faces visible
- refine
- expert_ensemble_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.95
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 1600, "height": 768, "prompt": "A photo a white cat wearing a TOK VR headset, faces visible", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.95, "prompt_strength": 0.8, "num_inference_steps": 50 }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/sdxl-vision-pro using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/sdxl-vision-pro:858d66f10a520248ae48fd5c6661578fef8982ffd1a272f58c2a16ef803dd744", { input: { width: 1600, height: 768, prompt: "A photo a white cat wearing a TOK VR headset, faces visible", refine: "expert_ensemble_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: false, high_noise_frac: 0.95, 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 replicateImport the client:import replicateRun fofr/sdxl-vision-pro using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/sdxl-vision-pro:858d66f10a520248ae48fd5c6661578fef8982ffd1a272f58c2a16ef803dd744", input={ "width": 1600, "height": 768, "prompt": "A photo a white cat wearing a TOK VR headset, faces visible", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": False, "high_noise_frac": 0.95, "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-vision-pro 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-vision-pro:858d66f10a520248ae48fd5c6661578fef8982ffd1a272f58c2a16ef803dd744", "input": { "width": 1600, "height": 768, "prompt": "A photo a white cat wearing a TOK VR headset, faces visible", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.95, "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-08-10T15:38:14.037533Z", "created_at": "2023-08-10T15:37:55.397718Z", "data_removed": false, "error": null, "id": "bvzdpzdbqwgnk3yvhldkxld56y", "input": { "width": 1600, "height": 768, "prompt": "A photo a white cat wearing a TOK VR headset, faces visible", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.95, "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 43577\nPrompt: A photo a white cat wearing a <s0><s1> VR headset, faces visible\ntxt2img mode\n 0%| | 0/47 [00:00<?, ?it/s]\n 2%|▏ | 1/47 [00:00<00:15, 2.97it/s]\n 4%|▍ | 2/47 [00:00<00:15, 2.96it/s]\n 6%|▋ | 3/47 [00:01<00:14, 2.96it/s]\n 9%|▊ | 4/47 [00:01<00:14, 2.96it/s]\n 11%|█ | 5/47 [00:01<00:14, 2.96it/s]\n 13%|█▎ | 6/47 [00:02<00:13, 2.95it/s]\n 15%|█▍ | 7/47 [00:02<00:13, 2.95it/s]\n 17%|█▋ | 8/47 [00:02<00:13, 2.95it/s]\n 19%|█▉ | 9/47 [00:03<00:12, 2.95it/s]\n 21%|██▏ | 10/47 [00:03<00:12, 2.95it/s]\n 23%|██▎ | 11/47 [00:03<00:12, 2.94it/s]\n 26%|██▌ | 12/47 [00:04<00:11, 2.94it/s]\n 28%|██▊ | 13/47 [00:04<00:11, 2.94it/s]\n 30%|██▉ | 14/47 [00:04<00:11, 2.94it/s]\n 32%|███▏ | 15/47 [00:05<00:10, 2.94it/s]\n 34%|███▍ | 16/47 [00:05<00:10, 2.94it/s]\n 36%|███▌ | 17/47 [00:05<00:10, 2.94it/s]\n 38%|███▊ | 18/47 [00:06<00:09, 2.94it/s]\n 40%|████ | 19/47 [00:06<00:09, 2.94it/s]\n 43%|████▎ | 20/47 [00:06<00:09, 2.94it/s]\n 45%|████▍ | 21/47 [00:07<00:08, 2.94it/s]\n 47%|████▋ | 22/47 [00:07<00:08, 2.94it/s]\n 49%|████▉ | 23/47 [00:07<00:08, 2.94it/s]\n 51%|█████ | 24/47 [00:08<00:07, 2.94it/s]\n 53%|█████▎ | 25/47 [00:08<00:07, 2.94it/s]\n 55%|█████▌ | 26/47 [00:08<00:07, 2.94it/s]\n 57%|█████▋ | 27/47 [00:09<00:06, 2.94it/s]\n 60%|█████▉ | 28/47 [00:09<00:06, 2.94it/s]\n 62%|██████▏ | 29/47 [00:09<00:06, 2.94it/s]\n 64%|██████▍ | 30/47 [00:10<00:05, 2.94it/s]\n 66%|██████▌ | 31/47 [00:10<00:05, 2.94it/s]\n 68%|██████▊ | 32/47 [00:10<00:05, 2.94it/s]\n 70%|███████ | 33/47 [00:11<00:04, 2.94it/s]\n 72%|███████▏ | 34/47 [00:11<00:04, 2.94it/s]\n 74%|███████▍ | 35/47 [00:11<00:04, 2.94it/s]\n 77%|███████▋ | 36/47 [00:12<00:03, 2.94it/s]\n 79%|███████▊ | 37/47 [00:12<00:03, 2.94it/s]\n 81%|████████ | 38/47 [00:12<00:03, 2.94it/s]\n 83%|████████▎ | 39/47 [00:13<00:02, 2.94it/s]\n 85%|████████▌ | 40/47 [00:13<00:02, 2.94it/s]\n 87%|████████▋ | 41/47 [00:13<00:02, 2.94it/s]\n 89%|████████▉ | 42/47 [00:14<00:01, 2.94it/s]\n 91%|█████████▏| 43/47 [00:14<00:01, 2.94it/s]\n 94%|█████████▎| 44/47 [00:14<00:01, 2.94it/s]\n 96%|█████████▌| 45/47 [00:15<00:00, 2.94it/s]\n 98%|█████████▊| 46/47 [00:15<00:00, 2.94it/s]\n100%|██████████| 47/47 [00:15<00:00, 2.94it/s]\n100%|██████████| 47/47 [00:15<00:00, 2.94it/s]\n 0%| | 0/3 [00:00<?, ?it/s]\n 33%|███▎ | 1/3 [00:00<00:00, 3.63it/s]\n 67%|██████▋ | 2/3 [00:00<00:00, 3.62it/s]\n100%|██████████| 3/3 [00:00<00:00, 3.62it/s]\n100%|██████████| 3/3 [00:00<00:00, 3.62it/s]", "metrics": { "predict_time": 18.679953, "total_time": 18.639815 }, "output": [ "https://replicate.delivery/pbxt/cusf9pgTY024Ry2ctuntXJ0XerQDjm86igRKifFxHcYKzWxiA/out-0.png" ], "started_at": "2023-08-10T15:37:55.357580Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/bvzdpzdbqwgnk3yvhldkxld56y", "cancel": "https://api.replicate.com/v1/predictions/bvzdpzdbqwgnk3yvhldkxld56y/cancel" }, "version": "858d66f10a520248ae48fd5c6661578fef8982ffd1a272f58c2a16ef803dd744" }Generated inUsing seed: 43577 Prompt: A photo a white cat wearing a <s0><s1> VR headset, faces visible txt2img mode 0%| | 0/47 [00:00<?, ?it/s] 2%|▏ | 1/47 [00:00<00:15, 2.97it/s] 4%|▍ | 2/47 [00:00<00:15, 2.96it/s] 6%|▋ | 3/47 [00:01<00:14, 2.96it/s] 9%|▊ | 4/47 [00:01<00:14, 2.96it/s] 11%|█ | 5/47 [00:01<00:14, 2.96it/s] 13%|█▎ | 6/47 [00:02<00:13, 2.95it/s] 15%|█▍ | 7/47 [00:02<00:13, 2.95it/s] 17%|█▋ | 8/47 [00:02<00:13, 2.95it/s] 19%|█▉ | 9/47 [00:03<00:12, 2.95it/s] 21%|██▏ | 10/47 [00:03<00:12, 2.95it/s] 23%|██▎ | 11/47 [00:03<00:12, 2.94it/s] 26%|██▌ | 12/47 [00:04<00:11, 2.94it/s] 28%|██▊ | 13/47 [00:04<00:11, 2.94it/s] 30%|██▉ | 14/47 [00:04<00:11, 2.94it/s] 32%|███▏ | 15/47 [00:05<00:10, 2.94it/s] 34%|███▍ | 16/47 [00:05<00:10, 2.94it/s] 36%|███▌ | 17/47 [00:05<00:10, 2.94it/s] 38%|███▊ | 18/47 [00:06<00:09, 2.94it/s] 40%|████ | 19/47 [00:06<00:09, 2.94it/s] 43%|████▎ | 20/47 [00:06<00:09, 2.94it/s] 45%|████▍ | 21/47 [00:07<00:08, 2.94it/s] 47%|████▋ | 22/47 [00:07<00:08, 2.94it/s] 49%|████▉ | 23/47 [00:07<00:08, 2.94it/s] 51%|█████ | 24/47 [00:08<00:07, 2.94it/s] 53%|█████▎ | 25/47 [00:08<00:07, 2.94it/s] 55%|█████▌ | 26/47 [00:08<00:07, 2.94it/s] 57%|█████▋ | 27/47 [00:09<00:06, 2.94it/s] 60%|█████▉ | 28/47 [00:09<00:06, 2.94it/s] 62%|██████▏ | 29/47 [00:09<00:06, 2.94it/s] 64%|██████▍ | 30/47 [00:10<00:05, 2.94it/s] 66%|██████▌ | 31/47 [00:10<00:05, 2.94it/s] 68%|██████▊ | 32/47 [00:10<00:05, 2.94it/s] 70%|███████ | 33/47 [00:11<00:04, 2.94it/s] 72%|███████▏ | 34/47 [00:11<00:04, 2.94it/s] 74%|███████▍ | 35/47 [00:11<00:04, 2.94it/s] 77%|███████▋ | 36/47 [00:12<00:03, 2.94it/s] 79%|███████▊ | 37/47 [00:12<00:03, 2.94it/s] 81%|████████ | 38/47 [00:12<00:03, 2.94it/s] 83%|████████▎ | 39/47 [00:13<00:02, 2.94it/s] 85%|████████▌ | 40/47 [00:13<00:02, 2.94it/s] 87%|████████▋ | 41/47 [00:13<00:02, 2.94it/s] 89%|████████▉ | 42/47 [00:14<00:01, 2.94it/s] 91%|█████████▏| 43/47 [00:14<00:01, 2.94it/s] 94%|█████████▎| 44/47 [00:14<00:01, 2.94it/s] 96%|█████████▌| 45/47 [00:15<00:00, 2.94it/s] 98%|█████████▊| 46/47 [00:15<00:00, 2.94it/s] 100%|██████████| 47/47 [00:15<00:00, 2.94it/s] 100%|██████████| 47/47 [00:15<00:00, 2.94it/s] 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:00<00:00, 3.63it/s] 67%|██████▋ | 2/3 [00:00<00:00, 3.62it/s] 100%|██████████| 3/3 [00:00<00:00, 3.62it/s] 100%|██████████| 3/3 [00:00<00:00, 3.62it/s]Prediction
fofr/sdxl-vision-pro:858d66f10a520248ae48fd5c6661578fef8982ffd1a272f58c2a16ef803dd744IDi4g22slbqgiiv2a37x2okjmzwyStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1152
- height
- 768
- prompt
- A medieval painting of someone wearing a TOK VR headset
- 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
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 1152, "height": 768, "prompt": "A medieval painting of someone wearing a TOK VR headset", "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, "prompt_strength": 0.8, "num_inference_steps": 50 }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/sdxl-vision-pro using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/sdxl-vision-pro:858d66f10a520248ae48fd5c6661578fef8982ffd1a272f58c2a16ef803dd744", { input: { width: 1152, height: 768, prompt: "A medieval painting of someone wearing a TOK VR headset", 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, 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 replicateImport the client:import replicateRun fofr/sdxl-vision-pro using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/sdxl-vision-pro:858d66f10a520248ae48fd5c6661578fef8982ffd1a272f58c2a16ef803dd744", input={ "width": 1152, "height": 768, "prompt": "A medieval painting of someone wearing a TOK VR headset", "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, "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-vision-pro 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-vision-pro:858d66f10a520248ae48fd5c6661578fef8982ffd1a272f58c2a16ef803dd744", "input": { "width": 1152, "height": 768, "prompt": "A medieval painting of someone wearing a TOK VR headset", "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, "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-08-10T15:53:58.789466Z", "created_at": "2023-08-10T15:53:11.388242Z", "data_removed": false, "error": null, "id": "i4g22slbqgiiv2a37x2okjmzwy", "input": { "width": 1152, "height": 768, "prompt": "A medieval painting of someone wearing a TOK VR headset", "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, "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 58623\nPrompt: A medieval painting of someone wearing a <s0><s1> VR headset\ntxt2img mode\n 0%| | 0/47 [00:00<?, ?it/s]\n 2%|▏ | 1/47 [00:01<01:04, 1.41s/it]\n 4%|▍ | 2/47 [00:02<00:48, 1.08s/it]\n 6%|▋ | 3/47 [00:03<00:42, 1.03it/s]\n 9%|▊ | 4/47 [00:03<00:39, 1.08it/s]\n 11%|█ | 5/47 [00:04<00:37, 1.11it/s]\n 13%|█▎ | 6/47 [00:05<00:36, 1.14it/s]\n 15%|█▍ | 7/47 [00:06<00:34, 1.15it/s]\n 17%|█▋ | 8/47 [00:07<00:33, 1.16it/s]\n 19%|█▉ | 9/47 [00:08<00:32, 1.16it/s]\n 21%|██▏ | 10/47 [00:09<00:31, 1.17it/s]\n 23%|██▎ | 11/47 [00:09<00:30, 1.17it/s]\n 26%|██▌ | 12/47 [00:10<00:29, 1.17it/s]\n 28%|██▊ | 13/47 [00:11<00:28, 1.17it/s]\n 30%|██▉ | 14/47 [00:12<00:28, 1.17it/s]\n 32%|███▏ | 15/47 [00:13<00:27, 1.18it/s]\n 34%|███▍ | 16/47 [00:14<00:26, 1.18it/s]\n 36%|███▌ | 17/47 [00:14<00:25, 1.18it/s]\n 38%|███▊ | 18/47 [00:15<00:24, 1.18it/s]\n 40%|████ | 19/47 [00:16<00:23, 1.18it/s]\n 43%|████▎ | 20/47 [00:17<00:22, 1.18it/s]\n 45%|████▍ | 21/47 [00:18<00:22, 1.18it/s]\n 47%|████▋ | 22/47 [00:19<00:21, 1.18it/s]\n 49%|████▉ | 23/47 [00:20<00:20, 1.18it/s]\n 51%|█████ | 24/47 [00:20<00:19, 1.18it/s]\n 53%|█████▎ | 25/47 [00:21<00:18, 1.18it/s]\n 55%|█████▌ | 26/47 [00:22<00:17, 1.18it/s]\n 57%|█████▋ | 27/47 [00:23<00:16, 1.18it/s]\n 60%|█████▉ | 28/47 [00:24<00:16, 1.18it/s]\n 62%|██████▏ | 29/47 [00:25<00:15, 1.18it/s]\n 64%|██████▍ | 30/47 [00:26<00:14, 1.18it/s]\n 66%|██████▌ | 31/47 [00:26<00:13, 1.18it/s]\n 68%|██████▊ | 32/47 [00:27<00:12, 1.18it/s]\n 70%|███████ | 33/47 [00:28<00:11, 1.18it/s]\n 72%|███████▏ | 34/47 [00:29<00:11, 1.18it/s]\n 74%|███████▍ | 35/47 [00:30<00:10, 1.18it/s]\n 77%|███████▋ | 36/47 [00:31<00:09, 1.18it/s]\n 79%|███████▊ | 37/47 [00:31<00:08, 1.18it/s]\n 81%|████████ | 38/47 [00:32<00:07, 1.18it/s]\n 83%|████████▎ | 39/47 [00:33<00:06, 1.18it/s]\n 85%|████████▌ | 40/47 [00:34<00:05, 1.18it/s]\n 87%|████████▋ | 41/47 [00:35<00:05, 1.18it/s]\n 89%|████████▉ | 42/47 [00:36<00:04, 1.18it/s]\n 91%|█████████▏| 43/47 [00:37<00:03, 1.18it/s]\n 94%|█████████▎| 44/47 [00:37<00:02, 1.18it/s]\n 96%|█████████▌| 45/47 [00:38<00:01, 1.18it/s]\n 98%|█████████▊| 46/47 [00:39<00:00, 1.18it/s]\n100%|██████████| 47/47 [00:40<00:00, 1.18it/s]\n100%|██████████| 47/47 [00:40<00:00, 1.16it/s]\n 0%| | 0/3 [00:00<?, ?it/s]\n 33%|███▎ | 1/3 [00:00<00:01, 1.49it/s]\n 67%|██████▋ | 2/3 [00:01<00:00, 1.49it/s]\n100%|██████████| 3/3 [00:02<00:00, 1.49it/s]\n100%|██████████| 3/3 [00:02<00:00, 1.49it/s]", "metrics": { "predict_time": 47.376596, "total_time": 47.401224 }, "output": [ "https://replicate.delivery/pbxt/uMLC8jyKpCpvB5F8AtFIkadhZ2ym5p1nozdJd27V6NYF6KWE/out-0.png", "https://replicate.delivery/pbxt/LcCpbpdZP1LqINBzY7pw7cwtRZUzfIujFXwCxDnokZvK0VsIA/out-1.png", "https://replicate.delivery/pbxt/uWDSxF3BXV4fCKerJ7KCzHfRiMdbCBdGkM67dxhaF2KsQXxiA/out-2.png", "https://replicate.delivery/pbxt/ZdNnFUifqi0JFiPv6P2b8UH4ebpz3yog8ywKTPtCGmnWorYRA/out-3.png" ], "started_at": "2023-08-10T15:53:11.412870Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/i4g22slbqgiiv2a37x2okjmzwy", "cancel": "https://api.replicate.com/v1/predictions/i4g22slbqgiiv2a37x2okjmzwy/cancel" }, "version": "858d66f10a520248ae48fd5c6661578fef8982ffd1a272f58c2a16ef803dd744" }Generated inUsing seed: 58623 Prompt: A medieval painting of someone wearing a <s0><s1> VR headset txt2img mode 0%| | 0/47 [00:00<?, ?it/s] 2%|▏ | 1/47 [00:01<01:04, 1.41s/it] 4%|▍ | 2/47 [00:02<00:48, 1.08s/it] 6%|▋ | 3/47 [00:03<00:42, 1.03it/s] 9%|▊ | 4/47 [00:03<00:39, 1.08it/s] 11%|█ | 5/47 [00:04<00:37, 1.11it/s] 13%|█▎ | 6/47 [00:05<00:36, 1.14it/s] 15%|█▍ | 7/47 [00:06<00:34, 1.15it/s] 17%|█▋ | 8/47 [00:07<00:33, 1.16it/s] 19%|█▉ | 9/47 [00:08<00:32, 1.16it/s] 21%|██▏ | 10/47 [00:09<00:31, 1.17it/s] 23%|██▎ | 11/47 [00:09<00:30, 1.17it/s] 26%|██▌ | 12/47 [00:10<00:29, 1.17it/s] 28%|██▊ | 13/47 [00:11<00:28, 1.17it/s] 30%|██▉ | 14/47 [00:12<00:28, 1.17it/s] 32%|███▏ | 15/47 [00:13<00:27, 1.18it/s] 34%|███▍ | 16/47 [00:14<00:26, 1.18it/s] 36%|███▌ | 17/47 [00:14<00:25, 1.18it/s] 38%|███▊ | 18/47 [00:15<00:24, 1.18it/s] 40%|████ | 19/47 [00:16<00:23, 1.18it/s] 43%|████▎ | 20/47 [00:17<00:22, 1.18it/s] 45%|████▍ | 21/47 [00:18<00:22, 1.18it/s] 47%|████▋ | 22/47 [00:19<00:21, 1.18it/s] 49%|████▉ | 23/47 [00:20<00:20, 1.18it/s] 51%|█████ | 24/47 [00:20<00:19, 1.18it/s] 53%|█████▎ | 25/47 [00:21<00:18, 1.18it/s] 55%|█████▌ | 26/47 [00:22<00:17, 1.18it/s] 57%|█████▋ | 27/47 [00:23<00:16, 1.18it/s] 60%|█████▉ | 28/47 [00:24<00:16, 1.18it/s] 62%|██████▏ | 29/47 [00:25<00:15, 1.18it/s] 64%|██████▍ | 30/47 [00:26<00:14, 1.18it/s] 66%|██████▌ | 31/47 [00:26<00:13, 1.18it/s] 68%|██████▊ | 32/47 [00:27<00:12, 1.18it/s] 70%|███████ | 33/47 [00:28<00:11, 1.18it/s] 72%|███████▏ | 34/47 [00:29<00:11, 1.18it/s] 74%|███████▍ | 35/47 [00:30<00:10, 1.18it/s] 77%|███████▋ | 36/47 [00:31<00:09, 1.18it/s] 79%|███████▊ | 37/47 [00:31<00:08, 1.18it/s] 81%|████████ | 38/47 [00:32<00:07, 1.18it/s] 83%|████████▎ | 39/47 [00:33<00:06, 1.18it/s] 85%|████████▌ | 40/47 [00:34<00:05, 1.18it/s] 87%|████████▋ | 41/47 [00:35<00:05, 1.18it/s] 89%|████████▉ | 42/47 [00:36<00:04, 1.18it/s] 91%|█████████▏| 43/47 [00:37<00:03, 1.18it/s] 94%|█████████▎| 44/47 [00:37<00:02, 1.18it/s] 96%|█████████▌| 45/47 [00:38<00:01, 1.18it/s] 98%|█████████▊| 46/47 [00:39<00:00, 1.18it/s] 100%|██████████| 47/47 [00:40<00:00, 1.18it/s] 100%|██████████| 47/47 [00:40<00:00, 1.16it/s] 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:00<00:01, 1.49it/s] 67%|██████▋ | 2/3 [00:01<00:00, 1.49it/s] 100%|██████████| 3/3 [00:02<00:00, 1.49it/s] 100%|██████████| 3/3 [00:02<00:00, 1.49it/s]
Want to make some of these yourself?
Run this model