kimliss / majicmixrealistic
- Public
- 554 runs
-
T4
Prediction
kimliss/majicmixrealistic:0d359185d0a73cc4235bdda66757f59a0d3acf34b04b5b015958b67b54d4e521Input
- width
- "512"
- height
- "512"
- prompt
- Best quality, masterpiece, ultra high res, 1girl
- scheduler
- DPMSolverMultistep
- num_outputs
- 1
- guidance_scale
- 7.5
- negative_prompt
- (deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck,
- num_inference_steps
- 50
{ "width": "512", "height": "512", "prompt": "Best quality, masterpiece, ultra high res, 1girl", "scheduler": "DPMSolverMultistep", "num_outputs": 1, "guidance_scale": 7.5, "negative_prompt": "(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck,", "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run kimliss/majicmixrealistic using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "kimliss/majicmixrealistic:0d359185d0a73cc4235bdda66757f59a0d3acf34b04b5b015958b67b54d4e521", { input: { width: "512", height: "512", prompt: "Best quality, masterpiece, ultra high res, 1girl", scheduler: "DPMSolverMultistep", num_outputs: 1, guidance_scale: 7.5, negative_prompt: "(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck,", 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 kimliss/majicmixrealistic using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "kimliss/majicmixrealistic:0d359185d0a73cc4235bdda66757f59a0d3acf34b04b5b015958b67b54d4e521", input={ "width": "512", "height": "512", "prompt": "Best quality, masterpiece, ultra high res, 1girl", "scheduler": "DPMSolverMultistep", "num_outputs": 1, "guidance_scale": 7.5, "negative_prompt": "(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck,", "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run kimliss/majicmixrealistic 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": "kimliss/majicmixrealistic:0d359185d0a73cc4235bdda66757f59a0d3acf34b04b5b015958b67b54d4e521", "input": { "width": "512", "height": "512", "prompt": "Best quality, masterpiece, ultra high res, 1girl", "scheduler": "DPMSolverMultistep", "num_outputs": 1, "guidance_scale": 7.5, "negative_prompt": "(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck,", "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": "2023-07-07T08:58:50.113051Z", "created_at": "2023-07-07T08:58:21.784547Z", "data_removed": false, "error": null, "id": "mhpazijbi2mi65setkljyvbtsi", "input": { "width": "512", "height": "512", "prompt": "Best quality, masterpiece, ultra high res, 1girl", "scheduler": "DPMSolverMultistep", "num_outputs": 1, "guidance_scale": 7.5, "negative_prompt": "(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck,", "num_inference_steps": 50 }, "logs": "Using seed: 34878\nThe config attributes {'clip_sample_range': 1.0} were passed to PNDMScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to LMSDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to DDIMScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to EulerDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to EulerAncestralDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to DPMSolverMultistepScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:27, 1.77it/s]\n 4%|▍ | 2/50 [00:01<00:25, 1.90it/s]\n 6%|▌ | 3/50 [00:01<00:24, 1.92it/s]\n 8%|▊ | 4/50 [00:02<00:23, 1.94it/s]\n 10%|█ | 5/50 [00:02<00:23, 1.94it/s]\n 12%|█▏ | 6/50 [00:03<00:22, 1.94it/s]\n 14%|█▍ | 7/50 [00:03<00:22, 1.94it/s]\n 16%|█▌ | 8/50 [00:04<00:21, 1.93it/s]\n 18%|█▊ | 9/50 [00:04<00:21, 1.93it/s]\n 20%|██ | 10/50 [00:05<00:20, 1.93it/s]\n 22%|██▏ | 11/50 [00:05<00:20, 1.92it/s]\n 24%|██▍ | 12/50 [00:06<00:19, 1.92it/s]\n 26%|██▌ | 13/50 [00:06<00:19, 1.91it/s]\n 28%|██▊ | 14/50 [00:07<00:18, 1.91it/s]\n 30%|███ | 15/50 [00:07<00:18, 1.91it/s]\n 32%|███▏ | 16/50 [00:08<00:17, 1.91it/s]\n 34%|███▍ | 17/50 [00:08<00:17, 1.90it/s]\n 36%|███▌ | 18/50 [00:09<00:16, 1.90it/s]\n 38%|███▊ | 19/50 [00:09<00:16, 1.90it/s]\n 40%|████ | 20/50 [00:10<00:15, 1.90it/s]\n 42%|████▏ | 21/50 [00:10<00:15, 1.88it/s]\n 44%|████▍ | 22/50 [00:11<00:14, 1.88it/s]\n 46%|████▌ | 23/50 [00:12<00:14, 1.88it/s]\n 48%|████▊ | 24/50 [00:12<00:13, 1.87it/s]\n 50%|█████ | 25/50 [00:13<00:13, 1.88it/s]\n 52%|█████▏ | 26/50 [00:13<00:12, 1.86it/s]\n 54%|█████▍ | 27/50 [00:14<00:12, 1.87it/s]\n 56%|█████▌ | 28/50 [00:14<00:11, 1.86it/s]\n 58%|█████▊ | 29/50 [00:15<00:11, 1.85it/s]\n 60%|██████ | 30/50 [00:15<00:10, 1.84it/s]\n 62%|██████▏ | 31/50 [00:16<00:10, 1.84it/s]\n 64%|██████▍ | 32/50 [00:16<00:09, 1.84it/s]\n 66%|██████▌ | 33/50 [00:17<00:09, 1.83it/s]\n 68%|██████▊ | 34/50 [00:18<00:08, 1.83it/s]\n 70%|███████ | 35/50 [00:18<00:08, 1.83it/s]\n 72%|███████▏ | 36/50 [00:19<00:07, 1.83it/s]\n 74%|███████▍ | 37/50 [00:19<00:07, 1.83it/s]\n 76%|███████▌ | 38/50 [00:20<00:06, 1.82it/s]\n 78%|███████▊ | 39/50 [00:20<00:06, 1.81it/s]\n 80%|████████ | 40/50 [00:21<00:05, 1.82it/s]\n 82%|████████▏ | 41/50 [00:21<00:04, 1.82it/s]\n 84%|████████▍ | 42/50 [00:22<00:04, 1.82it/s]\n 86%|████████▌ | 43/50 [00:22<00:03, 1.81it/s]\n 88%|████████▊ | 44/50 [00:23<00:03, 1.81it/s]\n 90%|█████████ | 45/50 [00:24<00:02, 1.80it/s]\n 92%|█████████▏| 46/50 [00:24<00:02, 1.81it/s]\n 94%|█████████▍| 47/50 [00:25<00:01, 1.79it/s]\n 96%|█████████▌| 48/50 [00:25<00:01, 1.80it/s]\n 98%|█████████▊| 49/50 [00:26<00:00, 1.79it/s]\n100%|██████████| 50/50 [00:26<00:00, 1.80it/s]\n100%|██████████| 50/50 [00:26<00:00, 1.86it/s]", "metrics": { "predict_time": 28.369482, "total_time": 28.328504 }, "output": [ "https://replicate.delivery/pbxt/kGTaS9Mr3e04NqrE626lka3vfGHsrWRtHvLu6lzedLgSuwaiA/out-0.png" ], "started_at": "2023-07-07T08:58:21.743569Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/mhpazijbi2mi65setkljyvbtsi", "cancel": "https://api.replicate.com/v1/predictions/mhpazijbi2mi65setkljyvbtsi/cancel" }, "version": "0d359185d0a73cc4235bdda66757f59a0d3acf34b04b5b015958b67b54d4e521" }Generated inUsing seed: 34878 The config attributes {'clip_sample_range': 1.0} were passed to PNDMScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The config attributes {'clip_sample_range': 1.0} were passed to LMSDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The config attributes {'clip_sample_range': 1.0} were passed to DDIMScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The config attributes {'clip_sample_range': 1.0} were passed to EulerDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The config attributes {'clip_sample_range': 1.0} were passed to EulerAncestralDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The config attributes {'clip_sample_range': 1.0} were passed to DPMSolverMultistepScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:27, 1.77it/s] 4%|▍ | 2/50 [00:01<00:25, 1.90it/s] 6%|▌ | 3/50 [00:01<00:24, 1.92it/s] 8%|▊ | 4/50 [00:02<00:23, 1.94it/s] 10%|█ | 5/50 [00:02<00:23, 1.94it/s] 12%|█▏ | 6/50 [00:03<00:22, 1.94it/s] 14%|█▍ | 7/50 [00:03<00:22, 1.94it/s] 16%|█▌ | 8/50 [00:04<00:21, 1.93it/s] 18%|█▊ | 9/50 [00:04<00:21, 1.93it/s] 20%|██ | 10/50 [00:05<00:20, 1.93it/s] 22%|██▏ | 11/50 [00:05<00:20, 1.92it/s] 24%|██▍ | 12/50 [00:06<00:19, 1.92it/s] 26%|██▌ | 13/50 [00:06<00:19, 1.91it/s] 28%|██▊ | 14/50 [00:07<00:18, 1.91it/s] 30%|███ | 15/50 [00:07<00:18, 1.91it/s] 32%|███▏ | 16/50 [00:08<00:17, 1.91it/s] 34%|███▍ | 17/50 [00:08<00:17, 1.90it/s] 36%|███▌ | 18/50 [00:09<00:16, 1.90it/s] 38%|███▊ | 19/50 [00:09<00:16, 1.90it/s] 40%|████ | 20/50 [00:10<00:15, 1.90it/s] 42%|████▏ | 21/50 [00:10<00:15, 1.88it/s] 44%|████▍ | 22/50 [00:11<00:14, 1.88it/s] 46%|████▌ | 23/50 [00:12<00:14, 1.88it/s] 48%|████▊ | 24/50 [00:12<00:13, 1.87it/s] 50%|█████ | 25/50 [00:13<00:13, 1.88it/s] 52%|█████▏ | 26/50 [00:13<00:12, 1.86it/s] 54%|█████▍ | 27/50 [00:14<00:12, 1.87it/s] 56%|█████▌ | 28/50 [00:14<00:11, 1.86it/s] 58%|█████▊ | 29/50 [00:15<00:11, 1.85it/s] 60%|██████ | 30/50 [00:15<00:10, 1.84it/s] 62%|██████▏ | 31/50 [00:16<00:10, 1.84it/s] 64%|██████▍ | 32/50 [00:16<00:09, 1.84it/s] 66%|██████▌ | 33/50 [00:17<00:09, 1.83it/s] 68%|██████▊ | 34/50 [00:18<00:08, 1.83it/s] 70%|███████ | 35/50 [00:18<00:08, 1.83it/s] 72%|███████▏ | 36/50 [00:19<00:07, 1.83it/s] 74%|███████▍ | 37/50 [00:19<00:07, 1.83it/s] 76%|███████▌ | 38/50 [00:20<00:06, 1.82it/s] 78%|███████▊ | 39/50 [00:20<00:06, 1.81it/s] 80%|████████ | 40/50 [00:21<00:05, 1.82it/s] 82%|████████▏ | 41/50 [00:21<00:04, 1.82it/s] 84%|████████▍ | 42/50 [00:22<00:04, 1.82it/s] 86%|████████▌ | 43/50 [00:22<00:03, 1.81it/s] 88%|████████▊ | 44/50 [00:23<00:03, 1.81it/s] 90%|█████████ | 45/50 [00:24<00:02, 1.80it/s] 92%|█████████▏| 46/50 [00:24<00:02, 1.81it/s] 94%|█████████▍| 47/50 [00:25<00:01, 1.79it/s] 96%|█████████▌| 48/50 [00:25<00:01, 1.80it/s] 98%|█████████▊| 49/50 [00:26<00:00, 1.79it/s] 100%|██████████| 50/50 [00:26<00:00, 1.80it/s] 100%|██████████| 50/50 [00:26<00:00, 1.86it/s]
Want to make some of these yourself?
Run this model