deanm1993 / mrdm-ostris
- Public
- 57 runs
-
H100
- Weights
Prediction
deanm1993/mrdm-ostris:1eebbd69d4357d316e2af3684f4a659fd5b3cea225f709eac5746ead370bd01fIDw7hq7af1psrm80ck31ktcah5f4StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- mrdm in ornate jewel-toned wizard robes, dramatic front facing portrait, volumetric lighting, shallow depth of field, Canon EOS R5, f/1.8 aperture, golden hour illumination, sharp focus on eyes, 4K resolution.
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "mrdm in ornate jewel-toned wizard robes, dramatic front facing portrait, volumetric lighting, shallow depth of field, Canon EOS R5, f/1.8 aperture, golden hour illumination, sharp focus on eyes, 4K resolution.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }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 deanm1993/mrdm-ostris using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "deanm1993/mrdm-ostris:1eebbd69d4357d316e2af3684f4a659fd5b3cea225f709eac5746ead370bd01f", { input: { model: "dev", prompt: "mrdm in ornate jewel-toned wizard robes, dramatic front facing portrait, volumetric lighting, shallow depth of field, Canon EOS R5, f/1.8 aperture, golden hour illumination, sharp focus on eyes, 4K resolution.", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 90, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 28 } } ); // 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 deanm1993/mrdm-ostris using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "deanm1993/mrdm-ostris:1eebbd69d4357d316e2af3684f4a659fd5b3cea225f709eac5746ead370bd01f", input={ "model": "dev", "prompt": "mrdm in ornate jewel-toned wizard robes, dramatic front facing portrait, volumetric lighting, shallow depth of field, Canon EOS R5, f/1.8 aperture, golden hour illumination, sharp focus on eyes, 4K resolution.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run deanm1993/mrdm-ostris 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": "deanm1993/mrdm-ostris:1eebbd69d4357d316e2af3684f4a659fd5b3cea225f709eac5746ead370bd01f", "input": { "model": "dev", "prompt": "mrdm in ornate jewel-toned wizard robes, dramatic front facing portrait, volumetric lighting, shallow depth of field, Canon EOS R5, f/1.8 aperture, golden hour illumination, sharp focus on eyes, 4K resolution.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-11-10T23:28:12.714229Z", "created_at": "2024-11-10T23:28:01.462000Z", "data_removed": false, "error": null, "id": "w7hq7af1psrm80ck31ktcah5f4", "input": { "model": "dev", "prompt": "mrdm in ornate jewel-toned wizard robes, dramatic front facing portrait, volumetric lighting, shallow depth of field, Canon EOS R5, f/1.8 aperture, golden hour illumination, sharp focus on eyes, 4K resolution.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 47384\nPrompt: mrdm in ornate jewel-toned wizard robes, dramatic front facing portrait, volumetric lighting, shallow depth of field, Canon EOS R5, f/1.8 aperture, golden hour illumination, sharp focus on eyes, 4K resolution.\n[!] txt2img mode\nUsing dev model\nfree=29623171563520\nDownloading weights\n2024-11-10T23:28:01Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpq9frc4pd/weights url=https://replicate.delivery/xezq/ig6IvR6BWgbvIl0XBTpuYOfavcXkbUO9HnSLG2KhK25ig33JA/trained_model.tar\n2024-11-10T23:28:02Z | INFO | [ Complete ] dest=/tmp/tmpq9frc4pd/weights size=\"172 MB\" total_elapsed=1.102s url=https://replicate.delivery/xezq/ig6IvR6BWgbvIl0XBTpuYOfavcXkbUO9HnSLG2KhK25ig33JA/trained_model.tar\nDownloaded weights in 1.12s\nLoaded LoRAs in 1.73s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:08, 3.05it/s]\n 7%|▋ | 2/28 [00:00<00:07, 3.37it/s]\n 11%|█ | 3/28 [00:00<00:07, 3.20it/s]\n 14%|█▍ | 4/28 [00:01<00:07, 3.13it/s]\n 18%|█▊ | 5/28 [00:01<00:07, 3.09it/s]\n 21%|██▏ | 6/28 [00:01<00:07, 3.07it/s]\n 25%|██▌ | 7/28 [00:02<00:06, 3.05it/s]\n 29%|██▊ | 8/28 [00:02<00:06, 3.04it/s]\n 32%|███▏ | 9/28 [00:02<00:06, 3.03it/s]\n 36%|███▌ | 10/28 [00:03<00:05, 3.03it/s]\n 39%|███▉ | 11/28 [00:03<00:05, 3.03it/s]\n 43%|████▎ | 12/28 [00:03<00:05, 3.02it/s]\n 46%|████▋ | 13/28 [00:04<00:04, 3.02it/s]\n 50%|█████ | 14/28 [00:04<00:04, 3.02it/s]\n 54%|█████▎ | 15/28 [00:04<00:04, 3.02it/s]\n 57%|█████▋ | 16/28 [00:05<00:03, 3.02it/s]\n 61%|██████ | 17/28 [00:05<00:03, 3.02it/s]\n 64%|██████▍ | 18/28 [00:05<00:03, 3.03it/s]\n 68%|██████▊ | 19/28 [00:06<00:02, 3.03it/s]\n 71%|███████▏ | 20/28 [00:06<00:02, 3.04it/s]\n 75%|███████▌ | 21/28 [00:06<00:02, 3.04it/s]\n 79%|███████▊ | 22/28 [00:07<00:01, 3.05it/s]\n 82%|████████▏ | 23/28 [00:07<00:01, 3.05it/s]\n 86%|████████▌ | 24/28 [00:07<00:01, 3.05it/s]\n 89%|████████▉ | 25/28 [00:08<00:00, 3.05it/s]\n 93%|█████████▎| 26/28 [00:08<00:00, 3.05it/s]\n 96%|█████████▋| 27/28 [00:08<00:00, 3.05it/s]\n100%|██████████| 28/28 [00:09<00:00, 3.06it/s]\n100%|██████████| 28/28 [00:09<00:00, 3.05it/s]", "metrics": { "predict_time": 11.196293411, "total_time": 11.252229 }, "output": [ "https://replicate.delivery/xezq/XLgWHgVnV8ZwCp4HoAfHJDXpect5GWQS2vZR5amdziuMOvvTA/out-0.webp" ], "started_at": "2024-11-10T23:28:01.517935Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-x4i6wunw7hbo4p7r2xunus3st7th3h7jcmtsjpgjwokmspkzc4vq", "get": "https://api.replicate.com/v1/predictions/w7hq7af1psrm80ck31ktcah5f4", "cancel": "https://api.replicate.com/v1/predictions/w7hq7af1psrm80ck31ktcah5f4/cancel" }, "version": "1eebbd69d4357d316e2af3684f4a659fd5b3cea225f709eac5746ead370bd01f" }Generated inUsing seed: 47384 Prompt: mrdm in ornate jewel-toned wizard robes, dramatic front facing portrait, volumetric lighting, shallow depth of field, Canon EOS R5, f/1.8 aperture, golden hour illumination, sharp focus on eyes, 4K resolution. [!] txt2img mode Using dev model free=29623171563520 Downloading weights 2024-11-10T23:28:01Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpq9frc4pd/weights url=https://replicate.delivery/xezq/ig6IvR6BWgbvIl0XBTpuYOfavcXkbUO9HnSLG2KhK25ig33JA/trained_model.tar 2024-11-10T23:28:02Z | INFO | [ Complete ] dest=/tmp/tmpq9frc4pd/weights size="172 MB" total_elapsed=1.102s url=https://replicate.delivery/xezq/ig6IvR6BWgbvIl0XBTpuYOfavcXkbUO9HnSLG2KhK25ig33JA/trained_model.tar Downloaded weights in 1.12s Loaded LoRAs in 1.73s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:08, 3.05it/s] 7%|▋ | 2/28 [00:00<00:07, 3.37it/s] 11%|█ | 3/28 [00:00<00:07, 3.20it/s] 14%|█▍ | 4/28 [00:01<00:07, 3.13it/s] 18%|█▊ | 5/28 [00:01<00:07, 3.09it/s] 21%|██▏ | 6/28 [00:01<00:07, 3.07it/s] 25%|██▌ | 7/28 [00:02<00:06, 3.05it/s] 29%|██▊ | 8/28 [00:02<00:06, 3.04it/s] 32%|███▏ | 9/28 [00:02<00:06, 3.03it/s] 36%|███▌ | 10/28 [00:03<00:05, 3.03it/s] 39%|███▉ | 11/28 [00:03<00:05, 3.03it/s] 43%|████▎ | 12/28 [00:03<00:05, 3.02it/s] 46%|████▋ | 13/28 [00:04<00:04, 3.02it/s] 50%|█████ | 14/28 [00:04<00:04, 3.02it/s] 54%|█████▎ | 15/28 [00:04<00:04, 3.02it/s] 57%|█████▋ | 16/28 [00:05<00:03, 3.02it/s] 61%|██████ | 17/28 [00:05<00:03, 3.02it/s] 64%|██████▍ | 18/28 [00:05<00:03, 3.03it/s] 68%|██████▊ | 19/28 [00:06<00:02, 3.03it/s] 71%|███████▏ | 20/28 [00:06<00:02, 3.04it/s] 75%|███████▌ | 21/28 [00:06<00:02, 3.04it/s] 79%|███████▊ | 22/28 [00:07<00:01, 3.05it/s] 82%|████████▏ | 23/28 [00:07<00:01, 3.05it/s] 86%|████████▌ | 24/28 [00:07<00:01, 3.05it/s] 89%|████████▉ | 25/28 [00:08<00:00, 3.05it/s] 93%|█████████▎| 26/28 [00:08<00:00, 3.05it/s] 96%|█████████▋| 27/28 [00:08<00:00, 3.05it/s] 100%|██████████| 28/28 [00:09<00:00, 3.06it/s] 100%|██████████| 28/28 [00:09<00:00, 3.05it/s]Prediction
deanm1993/mrdm-ostris:1eebbd69d4357d316e2af3684f4a659fd5b3cea225f709eac5746ead370bd01fIDknx31db61drma0ck31v9mv6dfwStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- mrdm in UFC octagon, intense direct-to-camera portrait, dramatic arena lighting, athletic stance, wearing MMA gloves, ultra-sharp focus on facial features, low angle shot, Sony A7III, sports photography style, 8K resolution
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 38
{ "model": "dev", "prompt": "mrdm in UFC octagon, intense direct-to-camera portrait, dramatic arena lighting, athletic stance, wearing MMA gloves, ultra-sharp focus on facial features, low angle shot, Sony A7III, sports photography style, 8K resolution", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 38 }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 deanm1993/mrdm-ostris using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "deanm1993/mrdm-ostris:1eebbd69d4357d316e2af3684f4a659fd5b3cea225f709eac5746ead370bd01f", { input: { model: "dev", prompt: "mrdm in UFC octagon, intense direct-to-camera portrait, dramatic arena lighting, athletic stance, wearing MMA gloves, ultra-sharp focus on facial features, low angle shot, Sony A7III, sports photography style, 8K resolution", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 90, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 38 } } ); // 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 deanm1993/mrdm-ostris using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "deanm1993/mrdm-ostris:1eebbd69d4357d316e2af3684f4a659fd5b3cea225f709eac5746ead370bd01f", input={ "model": "dev", "prompt": "mrdm in UFC octagon, intense direct-to-camera portrait, dramatic arena lighting, athletic stance, wearing MMA gloves, ultra-sharp focus on facial features, low angle shot, Sony A7III, sports photography style, 8K resolution", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 38 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run deanm1993/mrdm-ostris 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": "deanm1993/mrdm-ostris:1eebbd69d4357d316e2af3684f4a659fd5b3cea225f709eac5746ead370bd01f", "input": { "model": "dev", "prompt": "mrdm in UFC octagon, intense direct-to-camera portrait, dramatic arena lighting, athletic stance, wearing MMA gloves, ultra-sharp focus on facial features, low angle shot, Sony A7III, sports photography style, 8K resolution", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 38 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-11-10T23:44:08.755329Z", "created_at": "2024-11-10T23:43:52.843000Z", "data_removed": false, "error": null, "id": "knx31db61drma0ck31v9mv6dfw", "input": { "model": "dev", "prompt": "mrdm in UFC octagon, intense direct-to-camera portrait, dramatic arena lighting, athletic stance, wearing MMA gloves, ultra-sharp focus on facial features, low angle shot, Sony A7III, sports photography style, 8K resolution", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 38 }, "logs": "Using seed: 11974\nPrompt: mrdm in UFC octagon, intense direct-to-camera portrait, dramatic arena lighting, athletic stance, wearing MMA gloves, ultra-sharp focus on facial features, low angle shot, Sony A7III, sports photography style, 8K resolution\n[!] txt2img mode\nUsing dev model\nfree=29479437402112\nDownloading weights\n2024-11-10T23:43:53Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp6ui1ktym/weights url=https://replicate.delivery/xezq/ig6IvR6BWgbvIl0XBTpuYOfavcXkbUO9HnSLG2KhK25ig33JA/trained_model.tar\n2024-11-10T23:43:55Z | INFO | [ Complete ] dest=/tmp/tmp6ui1ktym/weights size=\"172 MB\" total_elapsed=2.482s url=https://replicate.delivery/xezq/ig6IvR6BWgbvIl0XBTpuYOfavcXkbUO9HnSLG2KhK25ig33JA/trained_model.tar\nDownloaded weights in 2.50s\nLoaded LoRAs in 3.10s\n 0%| | 0/38 [00:00<?, ?it/s]\n 3%|▎ | 1/38 [00:00<00:12, 3.06it/s]\n 5%|▌ | 2/38 [00:00<00:10, 3.41it/s]\n 8%|▊ | 3/38 [00:00<00:10, 3.24it/s]\n 11%|█ | 4/38 [00:01<00:10, 3.17it/s]\n 13%|█▎ | 5/38 [00:01<00:10, 3.13it/s]\n 16%|█▌ | 6/38 [00:01<00:10, 3.11it/s]\n 18%|█▊ | 7/38 [00:02<00:10, 3.09it/s]\n 21%|██ | 8/38 [00:02<00:09, 3.08it/s]\n 24%|██▎ | 9/38 [00:02<00:09, 3.08it/s]\n 26%|██▋ | 10/38 [00:03<00:09, 3.07it/s]\n 29%|██▉ | 11/38 [00:03<00:08, 3.07it/s]\n 32%|███▏ | 12/38 [00:03<00:08, 3.07it/s]\n 34%|███▍ | 13/38 [00:04<00:08, 3.06it/s]\n 37%|███▋ | 14/38 [00:04<00:07, 3.06it/s]\n 39%|███▉ | 15/38 [00:04<00:07, 3.06it/s]\n 42%|████▏ | 16/38 [00:05<00:07, 3.06it/s]\n 45%|████▍ | 17/38 [00:05<00:06, 3.06it/s]\n 47%|████▋ | 18/38 [00:05<00:06, 3.06it/s]\n 50%|█████ | 19/38 [00:06<00:06, 3.06it/s]\n 53%|█████▎ | 20/38 [00:06<00:05, 3.06it/s]\n 55%|█████▌ | 21/38 [00:06<00:05, 3.06it/s]\n 58%|█████▊ | 22/38 [00:07<00:05, 3.06it/s]\n 61%|██████ | 23/38 [00:07<00:04, 3.06it/s]\n 63%|██████▎ | 24/38 [00:07<00:04, 3.06it/s]\n 66%|██████▌ | 25/38 [00:08<00:04, 3.06it/s]\n 68%|██████▊ | 26/38 [00:08<00:03, 3.06it/s]\n 71%|███████ | 27/38 [00:08<00:03, 3.06it/s]\n 74%|███████▎ | 28/38 [00:09<00:03, 3.06it/s]\n 76%|███████▋ | 29/38 [00:09<00:02, 3.06it/s]\n 79%|███████▉ | 30/38 [00:09<00:02, 3.06it/s]\n 82%|████████▏ | 31/38 [00:10<00:02, 3.06it/s]\n 84%|████████▍ | 32/38 [00:10<00:01, 3.06it/s]\n 87%|████████▋ | 33/38 [00:10<00:01, 3.06it/s]\n 89%|████████▉ | 34/38 [00:11<00:01, 3.06it/s]\n 92%|█████████▏| 35/38 [00:11<00:00, 3.06it/s]\n 95%|█████████▍| 36/38 [00:11<00:00, 3.06it/s]\n 97%|█████████▋| 37/38 [00:12<00:00, 3.06it/s]\n100%|██████████| 38/38 [00:12<00:00, 3.06it/s]\n100%|██████████| 38/38 [00:12<00:00, 3.08it/s]", "metrics": { "predict_time": 15.745497038, "total_time": 15.912329 }, "output": [ "https://replicate.delivery/xezq/KE30ZnHohQJCG5h0lwhGXOr42ozO3F5JM3BrAgedZQdku33JA/out-0.webp" ], "started_at": "2024-11-10T23:43:53.009832Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-zgggki2pndeek2gcs2rlivx67z5ma26adlsdoq6uayqsuiqaap5a", "get": "https://api.replicate.com/v1/predictions/knx31db61drma0ck31v9mv6dfw", "cancel": "https://api.replicate.com/v1/predictions/knx31db61drma0ck31v9mv6dfw/cancel" }, "version": "1eebbd69d4357d316e2af3684f4a659fd5b3cea225f709eac5746ead370bd01f" }Generated inUsing seed: 11974 Prompt: mrdm in UFC octagon, intense direct-to-camera portrait, dramatic arena lighting, athletic stance, wearing MMA gloves, ultra-sharp focus on facial features, low angle shot, Sony A7III, sports photography style, 8K resolution [!] txt2img mode Using dev model free=29479437402112 Downloading weights 2024-11-10T23:43:53Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp6ui1ktym/weights url=https://replicate.delivery/xezq/ig6IvR6BWgbvIl0XBTpuYOfavcXkbUO9HnSLG2KhK25ig33JA/trained_model.tar 2024-11-10T23:43:55Z | INFO | [ Complete ] dest=/tmp/tmp6ui1ktym/weights size="172 MB" total_elapsed=2.482s url=https://replicate.delivery/xezq/ig6IvR6BWgbvIl0XBTpuYOfavcXkbUO9HnSLG2KhK25ig33JA/trained_model.tar Downloaded weights in 2.50s Loaded LoRAs in 3.10s 0%| | 0/38 [00:00<?, ?it/s] 3%|▎ | 1/38 [00:00<00:12, 3.06it/s] 5%|▌ | 2/38 [00:00<00:10, 3.41it/s] 8%|▊ | 3/38 [00:00<00:10, 3.24it/s] 11%|█ | 4/38 [00:01<00:10, 3.17it/s] 13%|█▎ | 5/38 [00:01<00:10, 3.13it/s] 16%|█▌ | 6/38 [00:01<00:10, 3.11it/s] 18%|█▊ | 7/38 [00:02<00:10, 3.09it/s] 21%|██ | 8/38 [00:02<00:09, 3.08it/s] 24%|██▎ | 9/38 [00:02<00:09, 3.08it/s] 26%|██▋ | 10/38 [00:03<00:09, 3.07it/s] 29%|██▉ | 11/38 [00:03<00:08, 3.07it/s] 32%|███▏ | 12/38 [00:03<00:08, 3.07it/s] 34%|███▍ | 13/38 [00:04<00:08, 3.06it/s] 37%|███▋ | 14/38 [00:04<00:07, 3.06it/s] 39%|███▉ | 15/38 [00:04<00:07, 3.06it/s] 42%|████▏ | 16/38 [00:05<00:07, 3.06it/s] 45%|████▍ | 17/38 [00:05<00:06, 3.06it/s] 47%|████▋ | 18/38 [00:05<00:06, 3.06it/s] 50%|█████ | 19/38 [00:06<00:06, 3.06it/s] 53%|█████▎ | 20/38 [00:06<00:05, 3.06it/s] 55%|█████▌ | 21/38 [00:06<00:05, 3.06it/s] 58%|█████▊ | 22/38 [00:07<00:05, 3.06it/s] 61%|██████ | 23/38 [00:07<00:04, 3.06it/s] 63%|██████▎ | 24/38 [00:07<00:04, 3.06it/s] 66%|██████▌ | 25/38 [00:08<00:04, 3.06it/s] 68%|██████▊ | 26/38 [00:08<00:03, 3.06it/s] 71%|███████ | 27/38 [00:08<00:03, 3.06it/s] 74%|███████▎ | 28/38 [00:09<00:03, 3.06it/s] 76%|███████▋ | 29/38 [00:09<00:02, 3.06it/s] 79%|███████▉ | 30/38 [00:09<00:02, 3.06it/s] 82%|████████▏ | 31/38 [00:10<00:02, 3.06it/s] 84%|████████▍ | 32/38 [00:10<00:01, 3.06it/s] 87%|████████▋ | 33/38 [00:10<00:01, 3.06it/s] 89%|████████▉ | 34/38 [00:11<00:01, 3.06it/s] 92%|█████████▏| 35/38 [00:11<00:00, 3.06it/s] 95%|█████████▍| 36/38 [00:11<00:00, 3.06it/s] 97%|█████████▋| 37/38 [00:12<00:00, 3.06it/s] 100%|██████████| 38/38 [00:12<00:00, 3.06it/s] 100%|██████████| 38/38 [00:12<00:00, 3.08it/s]Prediction
deanm1993/mrdm-ostris:1eebbd69d4357d316e2af3684f4a659fd5b3cea225f709eac5746ead370bd01fID9jbhcgy1p1rmc0ck31vvwndcq0StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- mrdm facing camera in UFC cage, dynamic ring lighting, muscular fighter physique, determined expression, broadcast camera angle, cinematic color grading, 4K sports cinematography, sharp detail on face, motion-frozen capture
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "mrdm facing camera in UFC cage, dynamic ring lighting, muscular fighter physique, determined expression, broadcast camera angle, cinematic color grading, 4K sports cinematography, sharp detail on face, motion-frozen capture", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }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 deanm1993/mrdm-ostris using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "deanm1993/mrdm-ostris:1eebbd69d4357d316e2af3684f4a659fd5b3cea225f709eac5746ead370bd01f", { input: { model: "dev", prompt: "mrdm facing camera in UFC cage, dynamic ring lighting, muscular fighter physique, determined expression, broadcast camera angle, cinematic color grading, 4K sports cinematography, sharp detail on face, motion-frozen capture", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 90, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 28 } } ); // 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 deanm1993/mrdm-ostris using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "deanm1993/mrdm-ostris:1eebbd69d4357d316e2af3684f4a659fd5b3cea225f709eac5746ead370bd01f", input={ "model": "dev", "prompt": "mrdm facing camera in UFC cage, dynamic ring lighting, muscular fighter physique, determined expression, broadcast camera angle, cinematic color grading, 4K sports cinematography, sharp detail on face, motion-frozen capture", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run deanm1993/mrdm-ostris 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": "deanm1993/mrdm-ostris:1eebbd69d4357d316e2af3684f4a659fd5b3cea225f709eac5746ead370bd01f", "input": { "model": "dev", "prompt": "mrdm facing camera in UFC cage, dynamic ring lighting, muscular fighter physique, determined expression, broadcast camera angle, cinematic color grading, 4K sports cinematography, sharp detail on face, motion-frozen capture", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-11-10T23:45:31.217930Z", "created_at": "2024-11-10T23:45:21.840000Z", "data_removed": false, "error": null, "id": "9jbhcgy1p1rmc0ck31vvwndcq0", "input": { "model": "dev", "prompt": "mrdm facing camera in UFC cage, dynamic ring lighting, muscular fighter physique, determined expression, broadcast camera angle, cinematic color grading, 4K sports cinematography, sharp detail on face, motion-frozen capture", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 54926\nPrompt: mrdm facing camera in UFC cage, dynamic ring lighting, muscular fighter physique, determined expression, broadcast camera angle, cinematic color grading, 4K sports cinematography, sharp detail on face, motion-frozen capture\n[!] txt2img mode\nUsing dev model\nWeights already loaded\nLoaded LoRAs in 0.02s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:08, 3.07it/s]\n 7%|▋ | 2/28 [00:00<00:07, 3.42it/s]\n 11%|█ | 3/28 [00:00<00:07, 3.25it/s]\n 14%|█▍ | 4/28 [00:01<00:07, 3.18it/s]\n 18%|█▊ | 5/28 [00:01<00:07, 3.14it/s]\n 21%|██▏ | 6/28 [00:01<00:07, 3.11it/s]\n 25%|██▌ | 7/28 [00:02<00:06, 3.10it/s]\n 29%|██▊ | 8/28 [00:02<00:06, 3.09it/s]\n 32%|███▏ | 9/28 [00:02<00:06, 3.08it/s]\n 36%|███▌ | 10/28 [00:03<00:05, 3.08it/s]\n 39%|███▉ | 11/28 [00:03<00:05, 3.08it/s]\n 43%|████▎ | 12/28 [00:03<00:05, 3.07it/s]\n 46%|████▋ | 13/28 [00:04<00:04, 3.07it/s]\n 50%|█████ | 14/28 [00:04<00:04, 3.07it/s]\n 54%|█████▎ | 15/28 [00:04<00:04, 3.07it/s]\n 57%|█████▋ | 16/28 [00:05<00:03, 3.07it/s]\n 61%|██████ | 17/28 [00:05<00:03, 3.07it/s]\n 64%|██████▍ | 18/28 [00:05<00:03, 3.07it/s]\n 68%|██████▊ | 19/28 [00:06<00:02, 3.07it/s]\n 71%|███████▏ | 20/28 [00:06<00:02, 3.07it/s]\n 75%|███████▌ | 21/28 [00:06<00:02, 3.07it/s]\n 79%|███████▊ | 22/28 [00:07<00:01, 3.07it/s]\n 82%|████████▏ | 23/28 [00:07<00:01, 3.07it/s]\n 86%|████████▌ | 24/28 [00:07<00:01, 3.07it/s]\n 89%|████████▉ | 25/28 [00:08<00:00, 3.07it/s]\n 93%|█████████▎| 26/28 [00:08<00:00, 3.07it/s]\n 96%|█████████▋| 27/28 [00:08<00:00, 3.07it/s]\n100%|██████████| 28/28 [00:09<00:00, 3.07it/s]\n100%|██████████| 28/28 [00:09<00:00, 3.09it/s]", "metrics": { "predict_time": 9.372194115, "total_time": 9.37793 }, "output": [ "https://replicate.delivery/xezq/vee1gA0CtjkUepLlLBNGAeD3D4eidZUn6SMc6L4uULEdz79dC/out-0.webp" ], "started_at": "2024-11-10T23:45:21.845735Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-4bzsvbqerlwq7srayphicxwmus335pfodh5zdyjygshylkmcogbq", "get": "https://api.replicate.com/v1/predictions/9jbhcgy1p1rmc0ck31vvwndcq0", "cancel": "https://api.replicate.com/v1/predictions/9jbhcgy1p1rmc0ck31vvwndcq0/cancel" }, "version": "1eebbd69d4357d316e2af3684f4a659fd5b3cea225f709eac5746ead370bd01f" }Generated inUsing seed: 54926 Prompt: mrdm facing camera in UFC cage, dynamic ring lighting, muscular fighter physique, determined expression, broadcast camera angle, cinematic color grading, 4K sports cinematography, sharp detail on face, motion-frozen capture [!] txt2img mode Using dev model Weights already loaded Loaded LoRAs in 0.02s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:08, 3.07it/s] 7%|▋ | 2/28 [00:00<00:07, 3.42it/s] 11%|█ | 3/28 [00:00<00:07, 3.25it/s] 14%|█▍ | 4/28 [00:01<00:07, 3.18it/s] 18%|█▊ | 5/28 [00:01<00:07, 3.14it/s] 21%|██▏ | 6/28 [00:01<00:07, 3.11it/s] 25%|██▌ | 7/28 [00:02<00:06, 3.10it/s] 29%|██▊ | 8/28 [00:02<00:06, 3.09it/s] 32%|███▏ | 9/28 [00:02<00:06, 3.08it/s] 36%|███▌ | 10/28 [00:03<00:05, 3.08it/s] 39%|███▉ | 11/28 [00:03<00:05, 3.08it/s] 43%|████▎ | 12/28 [00:03<00:05, 3.07it/s] 46%|████▋ | 13/28 [00:04<00:04, 3.07it/s] 50%|█████ | 14/28 [00:04<00:04, 3.07it/s] 54%|█████▎ | 15/28 [00:04<00:04, 3.07it/s] 57%|█████▋ | 16/28 [00:05<00:03, 3.07it/s] 61%|██████ | 17/28 [00:05<00:03, 3.07it/s] 64%|██████▍ | 18/28 [00:05<00:03, 3.07it/s] 68%|██████▊ | 19/28 [00:06<00:02, 3.07it/s] 71%|███████▏ | 20/28 [00:06<00:02, 3.07it/s] 75%|███████▌ | 21/28 [00:06<00:02, 3.07it/s] 79%|███████▊ | 22/28 [00:07<00:01, 3.07it/s] 82%|████████▏ | 23/28 [00:07<00:01, 3.07it/s] 86%|████████▌ | 24/28 [00:07<00:01, 3.07it/s] 89%|████████▉ | 25/28 [00:08<00:00, 3.07it/s] 93%|█████████▎| 26/28 [00:08<00:00, 3.07it/s] 96%|█████████▋| 27/28 [00:08<00:00, 3.07it/s] 100%|██████████| 28/28 [00:09<00:00, 3.07it/s] 100%|██████████| 28/28 [00:09<00:00, 3.09it/s]Prediction
deanm1993/mrdm-ostris:1eebbd69d4357d316e2af3684f4a659fd5b3cea225f709eac5746ead370bd01fIDt1c74ehaxdrme0ck31vty9tfcmStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- mrdm centered in octagon cage, professional fighter pose, under bright overhead spotlights, sweat-glistening skin, eye-level composition, dramatic shadows, Canon 1DX Mark III, crisp details, black octagon fence background
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "mrdm centered in octagon cage, professional fighter pose, under bright overhead spotlights, sweat-glistening skin, eye-level composition, dramatic shadows, Canon 1DX Mark III, crisp details, black octagon fence background", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }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 deanm1993/mrdm-ostris using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "deanm1993/mrdm-ostris:1eebbd69d4357d316e2af3684f4a659fd5b3cea225f709eac5746ead370bd01f", { input: { model: "dev", prompt: "mrdm centered in octagon cage, professional fighter pose, under bright overhead spotlights, sweat-glistening skin, eye-level composition, dramatic shadows, Canon 1DX Mark III, crisp details, black octagon fence background", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 90, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 28 } } ); // 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 deanm1993/mrdm-ostris using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "deanm1993/mrdm-ostris:1eebbd69d4357d316e2af3684f4a659fd5b3cea225f709eac5746ead370bd01f", input={ "model": "dev", "prompt": "mrdm centered in octagon cage, professional fighter pose, under bright overhead spotlights, sweat-glistening skin, eye-level composition, dramatic shadows, Canon 1DX Mark III, crisp details, black octagon fence background", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run deanm1993/mrdm-ostris 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": "deanm1993/mrdm-ostris:1eebbd69d4357d316e2af3684f4a659fd5b3cea225f709eac5746ead370bd01f", "input": { "model": "dev", "prompt": "mrdm centered in octagon cage, professional fighter pose, under bright overhead spotlights, sweat-glistening skin, eye-level composition, dramatic shadows, Canon 1DX Mark III, crisp details, black octagon fence background", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-11-10T23:44:56.005197Z", "created_at": "2024-11-10T23:44:43.243000Z", "data_removed": false, "error": null, "id": "t1c74ehaxdrme0ck31vty9tfcm", "input": { "model": "dev", "prompt": "mrdm centered in octagon cage, professional fighter pose, under bright overhead spotlights, sweat-glistening skin, eye-level composition, dramatic shadows, Canon 1DX Mark III, crisp details, black octagon fence background", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 12899\nPrompt: mrdm centered in octagon cage, professional fighter pose, under bright overhead spotlights, sweat-glistening skin, eye-level composition, dramatic shadows, Canon 1DX Mark III, crisp details, black octagon fence background\n[!] txt2img mode\nUsing dev model\nfree=29711076208640\nDownloading weights\n2024-11-10T23:44:43Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp0wc8r0o3/weights url=https://replicate.delivery/xezq/ig6IvR6BWgbvIl0XBTpuYOfavcXkbUO9HnSLG2KhK25ig33JA/trained_model.tar\n2024-11-10T23:44:46Z | INFO | [ Complete ] dest=/tmp/tmp0wc8r0o3/weights size=\"172 MB\" total_elapsed=2.697s url=https://replicate.delivery/xezq/ig6IvR6BWgbvIl0XBTpuYOfavcXkbUO9HnSLG2KhK25ig33JA/trained_model.tar\nDownloaded weights in 2.72s\nLoaded LoRAs in 3.31s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:08, 3.06it/s]\n 7%|▋ | 2/28 [00:00<00:07, 3.42it/s]\n 11%|█ | 3/28 [00:00<00:07, 3.25it/s]\n 14%|█▍ | 4/28 [00:01<00:07, 3.18it/s]\n 18%|█▊ | 5/28 [00:01<00:07, 3.14it/s]\n 21%|██▏ | 6/28 [00:01<00:07, 3.11it/s]\n 25%|██▌ | 7/28 [00:02<00:06, 3.10it/s]\n 29%|██▊ | 8/28 [00:02<00:06, 3.09it/s]\n 32%|███▏ | 9/28 [00:02<00:06, 3.08it/s]\n 36%|███▌ | 10/28 [00:03<00:05, 3.08it/s]\n 39%|███▉ | 11/28 [00:03<00:05, 3.08it/s]\n 43%|████▎ | 12/28 [00:03<00:05, 3.07it/s]\n 46%|████▋ | 13/28 [00:04<00:04, 3.07it/s]\n 50%|█████ | 14/28 [00:04<00:04, 3.07it/s]\n 54%|█████▎ | 15/28 [00:04<00:04, 3.07it/s]\n 57%|█████▋ | 16/28 [00:05<00:03, 3.07it/s]\n 61%|██████ | 17/28 [00:05<00:03, 3.07it/s]\n 64%|██████▍ | 18/28 [00:05<00:03, 3.07it/s]\n 68%|██████▊ | 19/28 [00:06<00:02, 3.07it/s]\n 71%|███████▏ | 20/28 [00:06<00:02, 3.07it/s]\n 75%|███████▌ | 21/28 [00:06<00:02, 3.07it/s]\n 79%|███████▊ | 22/28 [00:07<00:01, 3.07it/s]\n 82%|████████▏ | 23/28 [00:07<00:01, 3.07it/s]\n 86%|████████▌ | 24/28 [00:07<00:01, 3.07it/s]\n 89%|████████▉ | 25/28 [00:08<00:00, 3.07it/s]\n 93%|█████████▎| 26/28 [00:08<00:00, 3.07it/s]\n 96%|█████████▋| 27/28 [00:08<00:00, 3.07it/s]\n100%|██████████| 28/28 [00:09<00:00, 3.07it/s]\n100%|██████████| 28/28 [00:09<00:00, 3.09it/s]", "metrics": { "predict_time": 12.659036726, "total_time": 12.762197 }, "output": [ "https://replicate.delivery/xezq/1wkDjgOlhb6KAVhIJp7KEvBrbFoKBet3GK5aoGAcj7I8u33JA/out-0.webp" ], "started_at": "2024-11-10T23:44:43.346160Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-m5qrwkdfojve53alexy63ojm5vv4s3ac4o5pau7jf3nczpaqqx6a", "get": "https://api.replicate.com/v1/predictions/t1c74ehaxdrme0ck31vty9tfcm", "cancel": "https://api.replicate.com/v1/predictions/t1c74ehaxdrme0ck31vty9tfcm/cancel" }, "version": "1eebbd69d4357d316e2af3684f4a659fd5b3cea225f709eac5746ead370bd01f" }Generated inUsing seed: 12899 Prompt: mrdm centered in octagon cage, professional fighter pose, under bright overhead spotlights, sweat-glistening skin, eye-level composition, dramatic shadows, Canon 1DX Mark III, crisp details, black octagon fence background [!] txt2img mode Using dev model free=29711076208640 Downloading weights 2024-11-10T23:44:43Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp0wc8r0o3/weights url=https://replicate.delivery/xezq/ig6IvR6BWgbvIl0XBTpuYOfavcXkbUO9HnSLG2KhK25ig33JA/trained_model.tar 2024-11-10T23:44:46Z | INFO | [ Complete ] dest=/tmp/tmp0wc8r0o3/weights size="172 MB" total_elapsed=2.697s url=https://replicate.delivery/xezq/ig6IvR6BWgbvIl0XBTpuYOfavcXkbUO9HnSLG2KhK25ig33JA/trained_model.tar Downloaded weights in 2.72s Loaded LoRAs in 3.31s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:08, 3.06it/s] 7%|▋ | 2/28 [00:00<00:07, 3.42it/s] 11%|█ | 3/28 [00:00<00:07, 3.25it/s] 14%|█▍ | 4/28 [00:01<00:07, 3.18it/s] 18%|█▊ | 5/28 [00:01<00:07, 3.14it/s] 21%|██▏ | 6/28 [00:01<00:07, 3.11it/s] 25%|██▌ | 7/28 [00:02<00:06, 3.10it/s] 29%|██▊ | 8/28 [00:02<00:06, 3.09it/s] 32%|███▏ | 9/28 [00:02<00:06, 3.08it/s] 36%|███▌ | 10/28 [00:03<00:05, 3.08it/s] 39%|███▉ | 11/28 [00:03<00:05, 3.08it/s] 43%|████▎ | 12/28 [00:03<00:05, 3.07it/s] 46%|████▋ | 13/28 [00:04<00:04, 3.07it/s] 50%|█████ | 14/28 [00:04<00:04, 3.07it/s] 54%|█████▎ | 15/28 [00:04<00:04, 3.07it/s] 57%|█████▋ | 16/28 [00:05<00:03, 3.07it/s] 61%|██████ | 17/28 [00:05<00:03, 3.07it/s] 64%|██████▍ | 18/28 [00:05<00:03, 3.07it/s] 68%|██████▊ | 19/28 [00:06<00:02, 3.07it/s] 71%|███████▏ | 20/28 [00:06<00:02, 3.07it/s] 75%|███████▌ | 21/28 [00:06<00:02, 3.07it/s] 79%|███████▊ | 22/28 [00:07<00:01, 3.07it/s] 82%|████████▏ | 23/28 [00:07<00:01, 3.07it/s] 86%|████████▌ | 24/28 [00:07<00:01, 3.07it/s] 89%|████████▉ | 25/28 [00:08<00:00, 3.07it/s] 93%|█████████▎| 26/28 [00:08<00:00, 3.07it/s] 96%|█████████▋| 27/28 [00:08<00:00, 3.07it/s] 100%|██████████| 28/28 [00:09<00:00, 3.07it/s] 100%|██████████| 28/28 [00:09<00:00, 3.09it/s]Prediction
deanm1993/mrdm-ostris:1eebbd69d4357d316e2af3684f4a659fd5b3cea225f709eac5746ead370bd01fID2e7gs48prsrmc0ck58rvazbbpgStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- mrdm as a powerful Roman Emperor, front-facing imperial portrait, wearing purple toga with gold trim and laurel crown, commanding presence, marble colonnade background, dramatic chiaroscuro lighting, shot on Leica S3
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1.3
- num_inference_steps
- 28
{ "model": "dev", "prompt": "mrdm as a powerful Roman Emperor, front-facing imperial portrait, wearing purple toga with gold trim and laurel crown, commanding presence, marble colonnade background, dramatic chiaroscuro lighting, shot on Leica S3", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1.3, "num_inference_steps": 28 }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 deanm1993/mrdm-ostris using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "deanm1993/mrdm-ostris:1eebbd69d4357d316e2af3684f4a659fd5b3cea225f709eac5746ead370bd01f", { input: { model: "dev", prompt: "mrdm as a powerful Roman Emperor, front-facing imperial portrait, wearing purple toga with gold trim and laurel crown, commanding presence, marble colonnade background, dramatic chiaroscuro lighting, shot on Leica S3", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 90, prompt_strength: 0.8, extra_lora_scale: 1.3, num_inference_steps: 28 } } ); // 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 deanm1993/mrdm-ostris using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "deanm1993/mrdm-ostris:1eebbd69d4357d316e2af3684f4a659fd5b3cea225f709eac5746ead370bd01f", input={ "model": "dev", "prompt": "mrdm as a powerful Roman Emperor, front-facing imperial portrait, wearing purple toga with gold trim and laurel crown, commanding presence, marble colonnade background, dramatic chiaroscuro lighting, shot on Leica S3", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1.3, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run deanm1993/mrdm-ostris 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": "deanm1993/mrdm-ostris:1eebbd69d4357d316e2af3684f4a659fd5b3cea225f709eac5746ead370bd01f", "input": { "model": "dev", "prompt": "mrdm as a powerful Roman Emperor, front-facing imperial portrait, wearing purple toga with gold trim and laurel crown, commanding presence, marble colonnade background, dramatic chiaroscuro lighting, shot on Leica S3", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1.3, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-11-14T10:21:30.411442Z", "created_at": "2024-11-14T10:21:20.454000Z", "data_removed": false, "error": null, "id": "2e7gs48prsrmc0ck58rvazbbpg", "input": { "model": "dev", "prompt": "mrdm as a powerful Roman Emperor, front-facing imperial portrait, wearing purple toga with gold trim and laurel crown, commanding presence, marble colonnade background, dramatic chiaroscuro lighting, shot on Leica S3", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1.3, "num_inference_steps": 28 }, "logs": "Using seed: 27069\nPrompt: mrdm as a powerful Roman Emperor, front-facing imperial portrait, wearing purple toga with gold trim and laurel crown, commanding presence, marble colonnade background, dramatic chiaroscuro lighting, shot on Leica S3\n[!] txt2img mode\nUsing dev model\nLoaded LoRAs in 0.60s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:08, 3.06it/s]\n 7%|▋ | 2/28 [00:00<00:07, 3.42it/s]\n 11%|█ | 3/28 [00:00<00:07, 3.25it/s]\n 14%|█▍ | 4/28 [00:01<00:07, 3.18it/s]\n 18%|█▊ | 5/28 [00:01<00:07, 3.14it/s]\n 21%|██▏ | 6/28 [00:01<00:07, 3.11it/s]\n 25%|██▌ | 7/28 [00:02<00:06, 3.10it/s]\n 29%|██▊ | 8/28 [00:02<00:06, 3.09it/s]\n 32%|███▏ | 9/28 [00:02<00:06, 3.08it/s]\n 36%|███▌ | 10/28 [00:03<00:05, 3.08it/s]\n 39%|███▉ | 11/28 [00:03<00:05, 3.08it/s]\n 43%|████▎ | 12/28 [00:03<00:05, 3.07it/s]\n 46%|████▋ | 13/28 [00:04<00:04, 3.07it/s]\n 50%|█████ | 14/28 [00:04<00:04, 3.07it/s]\n 54%|█████▎ | 15/28 [00:04<00:04, 3.07it/s]\n 57%|█████▋ | 16/28 [00:05<00:03, 3.07it/s]\n 61%|██████ | 17/28 [00:05<00:03, 3.07it/s]\n 64%|██████▍ | 18/28 [00:05<00:03, 3.07it/s]\n 68%|██████▊ | 19/28 [00:06<00:02, 3.07it/s]\n 71%|███████▏ | 20/28 [00:06<00:02, 3.07it/s]\n 75%|███████▌ | 21/28 [00:06<00:02, 3.07it/s]\n 79%|███████▊ | 22/28 [00:07<00:01, 3.07it/s]\n 82%|████████▏ | 23/28 [00:07<00:01, 3.07it/s]\n 86%|████████▌ | 24/28 [00:07<00:01, 3.07it/s]\n 89%|████████▉ | 25/28 [00:08<00:00, 3.07it/s]\n 93%|█████████▎| 26/28 [00:08<00:00, 3.07it/s]\n 96%|█████████▋| 27/28 [00:08<00:00, 3.07it/s]\n100%|██████████| 28/28 [00:09<00:00, 3.07it/s]\n100%|██████████| 28/28 [00:09<00:00, 3.09it/s]", "metrics": { "predict_time": 9.951054011, "total_time": 9.957442 }, "output": [ "https://replicate.delivery/xezq/xfPYeq9rUzq5ZU6Bi5ewAMyR3NGtQCQgYw5zfkssJAqpSgDPB/out-0.webp" ], "started_at": "2024-11-14T10:21:20.460388Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-lsk6auypgi4ha4c2tl4meie7ulvfzh5r36f3766qtdwlcqxxutba", "get": "https://api.replicate.com/v1/predictions/2e7gs48prsrmc0ck58rvazbbpg", "cancel": "https://api.replicate.com/v1/predictions/2e7gs48prsrmc0ck58rvazbbpg/cancel" }, "version": "1eebbd69d4357d316e2af3684f4a659fd5b3cea225f709eac5746ead370bd01f" }Generated inUsing seed: 27069 Prompt: mrdm as a powerful Roman Emperor, front-facing imperial portrait, wearing purple toga with gold trim and laurel crown, commanding presence, marble colonnade background, dramatic chiaroscuro lighting, shot on Leica S3 [!] txt2img mode Using dev model Loaded LoRAs in 0.60s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:08, 3.06it/s] 7%|▋ | 2/28 [00:00<00:07, 3.42it/s] 11%|█ | 3/28 [00:00<00:07, 3.25it/s] 14%|█▍ | 4/28 [00:01<00:07, 3.18it/s] 18%|█▊ | 5/28 [00:01<00:07, 3.14it/s] 21%|██▏ | 6/28 [00:01<00:07, 3.11it/s] 25%|██▌ | 7/28 [00:02<00:06, 3.10it/s] 29%|██▊ | 8/28 [00:02<00:06, 3.09it/s] 32%|███▏ | 9/28 [00:02<00:06, 3.08it/s] 36%|███▌ | 10/28 [00:03<00:05, 3.08it/s] 39%|███▉ | 11/28 [00:03<00:05, 3.08it/s] 43%|████▎ | 12/28 [00:03<00:05, 3.07it/s] 46%|████▋ | 13/28 [00:04<00:04, 3.07it/s] 50%|█████ | 14/28 [00:04<00:04, 3.07it/s] 54%|█████▎ | 15/28 [00:04<00:04, 3.07it/s] 57%|█████▋ | 16/28 [00:05<00:03, 3.07it/s] 61%|██████ | 17/28 [00:05<00:03, 3.07it/s] 64%|██████▍ | 18/28 [00:05<00:03, 3.07it/s] 68%|██████▊ | 19/28 [00:06<00:02, 3.07it/s] 71%|███████▏ | 20/28 [00:06<00:02, 3.07it/s] 75%|███████▌ | 21/28 [00:06<00:02, 3.07it/s] 79%|███████▊ | 22/28 [00:07<00:01, 3.07it/s] 82%|████████▏ | 23/28 [00:07<00:01, 3.07it/s] 86%|████████▌ | 24/28 [00:07<00:01, 3.07it/s] 89%|████████▉ | 25/28 [00:08<00:00, 3.07it/s] 93%|█████████▎| 26/28 [00:08<00:00, 3.07it/s] 96%|█████████▋| 27/28 [00:08<00:00, 3.07it/s] 100%|██████████| 28/28 [00:09<00:00, 3.07it/s] 100%|██████████| 28/28 [00:09<00:00, 3.09it/s]
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