speshiou / majicmix-realistic-sd-webui
Utilize the capabilities of SD WebUI, including Hires. fix and plenty of extensions (e.g. ADetailer)
Prediction
speshiou/majicmix-realistic-sd-webui:384ef83a7e3eacfe768c192bfd3998d724dbf9ce3152ae3e910f4ca48fea5e49IDciks5pzbpipwklr4jmi4kwozsmStatusSucceededSourceWebHardwareT4Total durationCreatedInput
- seed
- -1
- width
- 512
- height
- 768
- prompt
- 1girl, sweater, full body
- hr_scale
- 2
- hr_steps
- 20
- enable_hr
- scheduler
- DPM++ SDE Karras
- hr_upscaler
- Latent
- num_outputs
- 1
- guidance_scale
- 7.5
- negative_prompt
- (worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,
- enable_adetailer
- denoising_strength
- 0.5
- num_inference_steps
- 20
{ "seed": -1, "width": 512, "height": 768, "prompt": "1girl, sweater, full body", "hr_scale": 2, "hr_steps": 20, "enable_hr": true, "scheduler": "DPM++ SDE Karras", "hr_upscaler": "Latent", "num_outputs": 1, "guidance_scale": 7.5, "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,", "enable_adetailer": false, "denoising_strength": 0.5, "num_inference_steps": 20 }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 speshiou/majicmix-realistic-sd-webui using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "speshiou/majicmix-realistic-sd-webui:384ef83a7e3eacfe768c192bfd3998d724dbf9ce3152ae3e910f4ca48fea5e49", { input: { seed: -1, width: 512, height: 768, prompt: "1girl, sweater, full body", hr_scale: 2, hr_steps: 20, enable_hr: true, scheduler: "DPM++ SDE Karras", hr_upscaler: "Latent", num_outputs: 1, guidance_scale: 7.5, negative_prompt: "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,", enable_adetailer: false, denoising_strength: 0.5, num_inference_steps: 20 } } ); // 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 speshiou/majicmix-realistic-sd-webui using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "speshiou/majicmix-realistic-sd-webui:384ef83a7e3eacfe768c192bfd3998d724dbf9ce3152ae3e910f4ca48fea5e49", input={ "seed": -1, "width": 512, "height": 768, "prompt": "1girl, sweater, full body", "hr_scale": 2, "hr_steps": 20, "enable_hr": True, "scheduler": "DPM++ SDE Karras", "hr_upscaler": "Latent", "num_outputs": 1, "guidance_scale": 7.5, "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,", "enable_adetailer": False, "denoising_strength": 0.5, "num_inference_steps": 20 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run speshiou/majicmix-realistic-sd-webui 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": "speshiou/majicmix-realistic-sd-webui:384ef83a7e3eacfe768c192bfd3998d724dbf9ce3152ae3e910f4ca48fea5e49", "input": { "seed": -1, "width": 512, "height": 768, "prompt": "1girl, sweater, full body", "hr_scale": 2, "hr_steps": 20, "enable_hr": true, "scheduler": "DPM++ SDE Karras", "hr_upscaler": "Latent", "num_outputs": 1, "guidance_scale": 7.5, "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,", "enable_adetailer": false, "denoising_strength": 0.5, "num_inference_steps": 20 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-29T07:28:57.625625Z", "created_at": "2023-12-29T07:24:10.243365Z", "data_removed": false, "error": null, "id": "ciks5pzbpipwklr4jmi4kwozsm", "input": { "seed": -1, "width": 512, "height": 768, "prompt": "1girl, sweater, full body", "hr_scale": 2, "hr_steps": 20, "enable_hr": true, "scheduler": "DPM++ SDE Karras", "hr_upscaler": "Latent", "num_outputs": 1, "guidance_scale": 7.5, "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,", "enable_adetailer": false, "denoising_strength": 0.5, "num_inference_steps": 20 }, "logs": "7c819b6d13663ed720c2254f4fe18373107dfef2448d337913c8fc545640881e\nLoading weights [7c819b6d13] from /stable-diffusion-webui/models/Stable-diffusion/majicmixRealistic_v7.safetensors\nCreating model from config: /stable-diffusion-webui/configs/v1-inference.yaml\nvocab.json: 0%| | 0.00/961k [00:00<?, ?B/s]\nvocab.json: 100%|██████████| 961k/961k [00:00<00:00, 14.7MB/s]\nmerges.txt: 0%| | 0.00/525k [00:00<?, ?B/s]\nmerges.txt: 100%|██████████| 525k/525k [00:00<00:00, 7.45MB/s]\nspecial_tokens_map.json: 0%| | 0.00/389 [00:00<?, ?B/s]\nspecial_tokens_map.json: 100%|██████████| 389/389 [00:00<00:00, 1.98MB/s]\ntokenizer_config.json: 0%| | 0.00/905 [00:00<?, ?B/s]\ntokenizer_config.json: 100%|██████████| 905/905 [00:00<00:00, 6.36MB/s]\nconfig.json: 0%| | 0.00/4.52k [00:00<?, ?B/s]\nconfig.json: 100%|██████████| 4.52k/4.52k [00:00<00:00, 14.3MB/s]\nApplying attention optimization: Doggettx... done.\nModel loaded in 10.2s (calculate hash: 6.7s, load weights from disk: 0.3s, create model: 1.5s, apply weights to model: 1.2s, calculate empty prompt: 0.3s).\nTotal progress: 0it [00:00, ?it/s]\u001b[A\n 0%| | 0/20 [00:00<?, ?it/s]\nTotal progress: 2%|▎ | 1/40 [00:00<00:37, 1.03it/s]\u001b[A\n 5%|▌ | 1/20 [00:01<00:21, 1.12s/it]\nTotal progress: 5%|▌ | 2/40 [00:01<00:29, 1.28it/s]\u001b[A\n 10%|█ | 2/20 [00:01<00:15, 1.18it/s]\nTotal progress: 8%|▊ | 3/40 [00:02<00:26, 1.38it/s]\u001b[A\n 15%|█▌ | 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[02:02<00:13, 6.87s/it]\nTotal progress: 98%|█████████▊| 39/40 [02:19<00:06, 6.87s/it]\u001b[A\n 95%|█████████▌| 19/20 [02:09<00:06, 6.90s/it]\n100%|██████████| 20/20 [02:13<00:00, 5.88s/it]\n100%|██████████| 20/20 [02:13<00:00, 6.66s/it]\nTotal progress: 100%|██████████| 40/40 [02:26<00:00, 6.91s/it]\u001b[A\nTotal progress: 100%|██████████| 40/40 [02:28<00:00, 6.91s/it]\u001b[A\nTotal progress: 100%|██████████| 40/40 [02:28<00:00, 3.70s/it]", "metrics": { "predict_time": 160.121176, "total_time": 287.38226 }, "output": [ "https://replicate.delivery/pbxt/I8k1pH1ZrrIqDRB1qhwrEjeHmCAxrVFDsXV4D3PVfUj4cCHSA/1513523583-ecb8bb92-a61b-11ee-a671-f2605c08f219.png" ], "started_at": "2023-12-29T07:26:17.504449Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ciks5pzbpipwklr4jmi4kwozsm", "cancel": "https://api.replicate.com/v1/predictions/ciks5pzbpipwklr4jmi4kwozsm/cancel" }, "version": "384ef83a7e3eacfe768c192bfd3998d724dbf9ce3152ae3e910f4ca48fea5e49" }Generated in7c819b6d13663ed720c2254f4fe18373107dfef2448d337913c8fc545640881e Loading weights [7c819b6d13] from /stable-diffusion-webui/models/Stable-diffusion/majicmixRealistic_v7.safetensors Creating model from config: /stable-diffusion-webui/configs/v1-inference.yaml vocab.json: 0%| | 0.00/961k [00:00<?, ?B/s] vocab.json: 100%|██████████| 961k/961k [00:00<00:00, 14.7MB/s] merges.txt: 0%| | 0.00/525k [00:00<?, ?B/s] merges.txt: 100%|██████████| 525k/525k [00:00<00:00, 7.45MB/s] special_tokens_map.json: 0%| | 0.00/389 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 389/389 [00:00<00:00, 1.98MB/s] tokenizer_config.json: 0%| | 0.00/905 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 905/905 [00:00<00:00, 6.36MB/s] config.json: 0%| | 0.00/4.52k [00:00<?, ?B/s] config.json: 100%|██████████| 4.52k/4.52k [00:00<00:00, 14.3MB/s] Applying attention optimization: Doggettx... done. Model loaded in 10.2s (calculate hash: 6.7s, load weights from disk: 0.3s, create model: 1.5s, apply weights to model: 1.2s, calculate empty prompt: 0.3s). 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speshiou/majicmix-realistic-sd-webui:29920fe6d5b4854e8dbfe0abd8ad601a9b27a3b55155fdb944d5e7bf24a64d3eIDpulv37lboee6pziu2fyri6drvuStatusSucceededSourceWebHardwareA40Total durationCreatedInput
- seed
- -1
- width
- 512
- height
- 768
- prompt
- 1girl, sweater, full body
- hr_scale
- 2
- hr_steps
- 20
- enable_hr
- scheduler
- DPM++ SDE Karras
- hr_upscaler
- Latent
- num_outputs
- 1
- guidance_scale
- 7.5
- negative_prompt
- (worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,
- enable_adetailer
- denoising_strength
- 0.5
- num_inference_steps
- 20
{ "seed": -1, "width": 512, "height": 768, "prompt": "1girl, sweater, full body", "hr_scale": 2, "hr_steps": 20, "enable_hr": false, "scheduler": "DPM++ SDE Karras", "hr_upscaler": "Latent", "num_outputs": 1, "guidance_scale": 7.5, "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,", "enable_adetailer": true, "denoising_strength": 0.5, "num_inference_steps": 20 }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 speshiou/majicmix-realistic-sd-webui using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "speshiou/majicmix-realistic-sd-webui:29920fe6d5b4854e8dbfe0abd8ad601a9b27a3b55155fdb944d5e7bf24a64d3e", { input: { seed: -1, width: 512, height: 768, prompt: "1girl, sweater, full body", hr_scale: 2, hr_steps: 20, enable_hr: false, scheduler: "DPM++ SDE Karras", hr_upscaler: "Latent", num_outputs: 1, guidance_scale: 7.5, negative_prompt: "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,", enable_adetailer: true, denoising_strength: 0.5, num_inference_steps: 20 } } ); // 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 speshiou/majicmix-realistic-sd-webui using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "speshiou/majicmix-realistic-sd-webui:29920fe6d5b4854e8dbfe0abd8ad601a9b27a3b55155fdb944d5e7bf24a64d3e", input={ "seed": -1, "width": 512, "height": 768, "prompt": "1girl, sweater, full body", "hr_scale": 2, "hr_steps": 20, "enable_hr": False, "scheduler": "DPM++ SDE Karras", "hr_upscaler": "Latent", "num_outputs": 1, "guidance_scale": 7.5, "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,", "enable_adetailer": True, "denoising_strength": 0.5, "num_inference_steps": 20 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run speshiou/majicmix-realistic-sd-webui 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": "speshiou/majicmix-realistic-sd-webui:29920fe6d5b4854e8dbfe0abd8ad601a9b27a3b55155fdb944d5e7bf24a64d3e", "input": { "seed": -1, "width": 512, "height": 768, "prompt": "1girl, sweater, full body", "hr_scale": 2, "hr_steps": 20, "enable_hr": false, "scheduler": "DPM++ SDE Karras", "hr_upscaler": "Latent", "num_outputs": 1, "guidance_scale": 7.5, "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,", "enable_adetailer": true, "denoising_strength": 0.5, "num_inference_steps": 20 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-30T01:25:32.745556Z", "created_at": "2023-12-30T01:23:32.757750Z", "data_removed": false, "error": null, "id": "pulv37lboee6pziu2fyri6drvu", "input": { "seed": -1, "width": 512, "height": 768, "prompt": "1girl, sweater, full body", "hr_scale": 2, "hr_steps": 20, "enable_hr": false, "scheduler": "DPM++ SDE Karras", "hr_upscaler": "Latent", "num_outputs": 1, "guidance_scale": 7.5, "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,", "enable_adetailer": true, "denoising_strength": 0.5, "num_inference_steps": 20 }, "logs": "7c819b6d13663ed720c2254f4fe18373107dfef2448d337913c8fc545640881e\nLoading weights [7c819b6d13] from /stable-diffusion-webui/models/Stable-diffusion/majicmixRealistic_v7.safetensors\nCreating model from config: /stable-diffusion-webui/configs/v1-inference.yaml\nvocab.json: 0%| | 0.00/961k [00:00<?, ?B/s]\nvocab.json: 100%|██████████| 961k/961k [00:00<00:00, 4.01MB/s]\nvocab.json: 100%|██████████| 961k/961k [00:00<00:00, 4.00MB/s]\nmerges.txt: 0%| | 0.00/525k [00:00<?, ?B/s]\nmerges.txt: 100%|██████████| 525k/525k [00:00<00:00, 10.2MB/s]\nspecial_tokens_map.json: 0%| | 0.00/389 [00:00<?, ?B/s]\nspecial_tokens_map.json: 100%|██████████| 389/389 [00:00<00:00, 3.56MB/s]\ntokenizer_config.json: 0%| | 0.00/905 [00:00<?, ?B/s]\ntokenizer_config.json: 100%|██████████| 905/905 [00:00<00:00, 7.78MB/s]\nconfig.json: 0%| | 0.00/4.52k [00:00<?, ?B/s]\nconfig.json: 100%|██████████| 4.52k/4.52k [00:00<00:00, 25.4MB/s]\nApplying attention optimization: Doggettx... done.\nModel loaded in 11.3s (calculate hash: 8.4s, load weights from disk: 0.2s, create model: 2.1s, apply weights to model: 0.4s).\n 0%| | 0/20 [00:00<?, ?it/s]\nTotal progress: 0%| | 0/20 [00:00<?, ?it/s]\u001b[A\n 5%|▌ | 1/20 [00:00<00:07, 2.53it/s]\nTotal progress: 10%|█ | 2/20 [00:00<00:01, 9.21it/s]\u001b[A\n 10%|█ | 2/20 [00:00<00:05, 3.42it/s]\nTotal progress: 15%|█▌ | 3/20 [00:00<00:02, 6.44it/s]\u001b[A\n 15%|█▌ | 3/20 [00:00<00:04, 3.86it/s]\nTotal progress: 20%|██ | 4/20 [00:00<00:02, 5.57it/s]\u001b[A\n 20%|██ | 4/20 [00:01<00:03, 4.08it/s]\nTotal progress: 25%|██▌ | 5/20 [00:00<00:02, 5.13it/s]\u001b[A\n 25%|██▌ | 5/20 [00:01<00:03, 4.22it/s]\nTotal progress: 30%|███ | 6/20 [00:01<00:02, 4.90it/s]\u001b[A\n 30%|███ | 6/20 [00:01<00:03, 4.32it/s]\nTotal progress: 35%|███▌ | 7/20 [00:01<00:02, 4.78it/s]\u001b[A\n 35%|███▌ | 7/20 [00:01<00:02, 4.39it/s]\nTotal progress: 40%|████ | 8/20 [00:01<00:02, 4.70it/s]\u001b[A\n 40%|████ | 8/20 [00:01<00:02, 4.44it/s]\nTotal progress: 45%|████▌ | 9/20 [00:01<00:02, 4.65it/s]\u001b[A\n 45%|████▌ | 9/20 [00:02<00:02, 4.48it/s]\nTotal progress: 50%|█████ | 10/20 [00:01<00:02, 4.63it/s]\u001b[A\n 50%|█████ | 10/20 [00:02<00:02, 4.48it/s]\nTotal progress: 55%|█████▌ | 11/20 [00:02<00:01, 4.58it/s]\u001b[A\n 55%|█████▌ | 11/20 [00:02<00:02, 4.49it/s]\nTotal progress: 60%|██████ | 12/20 [00:02<00:01, 4.56it/s]\u001b[A\n 60%|██████ | 12/20 [00:02<00:01, 4.51it/s]\nTotal progress: 65%|██████▌ | 13/20 [00:02<00:01, 4.56it/s]\u001b[A\n 65%|██████▌ | 13/20 [00:03<00:01, 4.53it/s]\nTotal progress: 70%|███████ | 14/20 [00:02<00:01, 4.56it/s]\u001b[A\n 70%|███████ | 14/20 [00:03<00:01, 4.53it/s]\nTotal progress: 75%|███████▌ | 15/20 [00:03<00:01, 4.56it/s]\u001b[A\n 75%|███████▌ | 15/20 [00:03<00:01, 4.54it/s]\nTotal progress: 80%|████████ | 16/20 [00:03<00:00, 4.56it/s]\u001b[A\n 80%|████████ | 16/20 [00:03<00:00, 4.56it/s]\nTotal progress: 85%|████████▌ | 17/20 [00:03<00:00, 4.57it/s]\u001b[A\n 85%|████████▌ | 17/20 [00:03<00:00, 4.57it/s]\nTotal progress: 90%|█████████ | 18/20 [00:03<00:00, 4.57it/s]\u001b[A\n 90%|█████████ | 18/20 [00:04<00:00, 4.58it/s]\nTotal progress: 95%|█████████▌| 19/20 [00:03<00:00, 4.58it/s]\u001b[A\n 95%|█████████▌| 19/20 [00:04<00:00, 4.60it/s]\n100%|██████████| 20/20 [00:04<00:00, 5.44it/s]\n100%|██████████| 20/20 [00:04<00:00, 4.49it/s]\nTotal progress: 100%|██████████| 20/20 [00:04<00:00, 4.60it/s]\u001b[A\n0: 640x448 1 face, 66.6ms\nSpeed: 1.5ms preprocess, 66.6ms inference, 12.3ms postprocess per image at shape (1, 3, 640, 448)\n 0%| | 0/9 [00:00<?, ?it/s]\n 11%|█ | 1/9 [00:00<00:01, 4.39it/s]\n 22%|██▏ | 2/9 [00:00<00:01, 4.48it/s]\n 33%|███▎ | 3/9 [00:00<00:01, 4.52it/s]\n 44%|████▍ | 4/9 [00:00<00:01, 4.54it/s]\n 56%|█████▌ | 5/9 [00:01<00:00, 4.54it/s]\n 67%|██████▋ | 6/9 [00:01<00:00, 4.55it/s]\n 78%|███████▊ | 7/9 [00:01<00:00, 4.55it/s]\n 89%|████████▉ | 8/9 [00:01<00:00, 4.58it/s]\n100%|██████████| 9/9 [00:01<00:00, 5.46it/s]\n100%|██████████| 9/9 [00:01<00:00, 4.83it/s]\nTotal progress: 100%|██████████| 20/20 [00:12<00:00, 4.60it/s]\u001b[A\nTotal progress: 100%|██████████| 20/20 [00:12<00:00, 1.56it/s]", "metrics": { "predict_time": 23.656379, "total_time": 119.987806 }, "output": [ "https://replicate.delivery/pbxt/UgctMR731BbfLiv4RKiVRKN0VFfs0mtIDKBeWfvPP4As4IdIB/2501187772-529a0d8a-a6b2-11ee-b22f-0eacd02ada98.png" ], "started_at": "2023-12-30T01:25:09.089177Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/pulv37lboee6pziu2fyri6drvu", "cancel": "https://api.replicate.com/v1/predictions/pulv37lboee6pziu2fyri6drvu/cancel" }, "version": "29920fe6d5b4854e8dbfe0abd8ad601a9b27a3b55155fdb944d5e7bf24a64d3e" }Generated in7c819b6d13663ed720c2254f4fe18373107dfef2448d337913c8fc545640881e Loading weights [7c819b6d13] from /stable-diffusion-webui/models/Stable-diffusion/majicmixRealistic_v7.safetensors Creating model from config: /stable-diffusion-webui/configs/v1-inference.yaml vocab.json: 0%| | 0.00/961k [00:00<?, ?B/s] vocab.json: 100%|██████████| 961k/961k [00:00<00:00, 4.01MB/s] vocab.json: 100%|██████████| 961k/961k [00:00<00:00, 4.00MB/s] merges.txt: 0%| | 0.00/525k [00:00<?, ?B/s] merges.txt: 100%|██████████| 525k/525k [00:00<00:00, 10.2MB/s] special_tokens_map.json: 0%| | 0.00/389 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 389/389 [00:00<00:00, 3.56MB/s] tokenizer_config.json: 0%| | 0.00/905 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 905/905 [00:00<00:00, 7.78MB/s] config.json: 0%| | 0.00/4.52k [00:00<?, ?B/s] config.json: 100%|██████████| 4.52k/4.52k [00:00<00:00, 25.4MB/s] Applying attention optimization: Doggettx... done. Model loaded in 11.3s (calculate hash: 8.4s, load weights from disk: 0.2s, create model: 2.1s, apply weights to model: 0.4s). 0%| | 0/20 [00:00<?, ?it/s] Total progress: 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:07, 2.53it/s] Total progress: 10%|█ | 2/20 [00:00<00:01, 9.21it/s] 10%|█ | 2/20 [00:00<00:05, 3.42it/s] Total progress: 15%|█▌ | 3/20 [00:00<00:02, 6.44it/s] 15%|█▌ | 3/20 [00:00<00:04, 3.86it/s] Total progress: 20%|██ | 4/20 [00:00<00:02, 5.57it/s] 20%|██ | 4/20 [00:01<00:03, 4.08it/s] Total progress: 25%|██▌ | 5/20 [00:00<00:02, 5.13it/s] 25%|██▌ | 5/20 [00:01<00:03, 4.22it/s] Total progress: 30%|███ | 6/20 [00:01<00:02, 4.90it/s] 30%|███ | 6/20 [00:01<00:03, 4.32it/s] Total progress: 35%|███▌ | 7/20 [00:01<00:02, 4.78it/s] 35%|███▌ | 7/20 [00:01<00:02, 4.39it/s] Total progress: 40%|████ | 8/20 [00:01<00:02, 4.70it/s] 40%|████ | 8/20 [00:01<00:02, 4.44it/s] Total progress: 45%|████▌ | 9/20 [00:01<00:02, 4.65it/s] 45%|████▌ | 9/20 [00:02<00:02, 4.48it/s] Total progress: 50%|█████ | 10/20 [00:01<00:02, 4.63it/s] 50%|█████ | 10/20 [00:02<00:02, 4.48it/s] Total progress: 55%|█████▌ | 11/20 [00:02<00:01, 4.58it/s] 55%|█████▌ | 11/20 [00:02<00:02, 4.49it/s] Total progress: 60%|██████ | 12/20 [00:02<00:01, 4.56it/s] 60%|██████ | 12/20 [00:02<00:01, 4.51it/s] Total progress: 65%|██████▌ | 13/20 [00:02<00:01, 4.56it/s] 65%|██████▌ | 13/20 [00:03<00:01, 4.53it/s] Total progress: 70%|███████ | 14/20 [00:02<00:01, 4.56it/s] 70%|███████ | 14/20 [00:03<00:01, 4.53it/s] Total progress: 75%|███████▌ | 15/20 [00:03<00:01, 4.56it/s] 75%|███████▌ | 15/20 [00:03<00:01, 4.54it/s] Total progress: 80%|████████ | 16/20 [00:03<00:00, 4.56it/s] 80%|████████ | 16/20 [00:03<00:00, 4.56it/s] Total progress: 85%|████████▌ | 17/20 [00:03<00:00, 4.57it/s] 85%|████████▌ | 17/20 [00:03<00:00, 4.57it/s] Total progress: 90%|█████████ | 18/20 [00:03<00:00, 4.57it/s] 90%|█████████ | 18/20 [00:04<00:00, 4.58it/s] Total progress: 95%|█████████▌| 19/20 [00:03<00:00, 4.58it/s] 95%|█████████▌| 19/20 [00:04<00:00, 4.60it/s] 100%|██████████| 20/20 [00:04<00:00, 5.44it/s] 100%|██████████| 20/20 [00:04<00:00, 4.49it/s] Total progress: 100%|██████████| 20/20 [00:04<00:00, 4.60it/s] 0: 640x448 1 face, 66.6ms Speed: 1.5ms preprocess, 66.6ms inference, 12.3ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:01, 4.39it/s] 22%|██▏ | 2/9 [00:00<00:01, 4.48it/s] 33%|███▎ | 3/9 [00:00<00:01, 4.52it/s] 44%|████▍ | 4/9 [00:00<00:01, 4.54it/s] 56%|█████▌ | 5/9 [00:01<00:00, 4.54it/s] 67%|██████▋ | 6/9 [00:01<00:00, 4.55it/s] 78%|███████▊ | 7/9 [00:01<00:00, 4.55it/s] 89%|████████▉ | 8/9 [00:01<00:00, 4.58it/s] 100%|██████████| 9/9 [00:01<00:00, 5.46it/s] 100%|██████████| 9/9 [00:01<00:00, 4.83it/s] Total progress: 100%|██████████| 20/20 [00:12<00:00, 4.60it/s] Total progress: 100%|██████████| 20/20 [00:12<00:00, 1.56it/s]Prediction
speshiou/majicmix-realistic-sd-webui:0dcea15d52b30ad7d461db14c5bb881dbc04a7db9bef50e22a94580f16791dbeIDfxcobkrbjt76l42xougsotxeruStatusSucceededSourceWebHardwareT4Total durationCreatedInput
- seed
- -1
- width
- 512
- height
- 768
- prompt
- 1girl, sweater
- hr_scale
- 2
- hr_steps
- 20
- enable_hr
- scheduler
- DPM++ SDE Karras
- hr_upscaler
- Latent
- num_outputs
- 1
- guidance_scale
- 7.5
- negative_prompt
- (worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,
- denoising_strength
- 0.5
- num_inference_steps
- 20
{ "seed": -1, "width": 512, "height": 768, "prompt": "1girl, sweater", "hr_scale": 2, "hr_steps": 20, "enable_hr": true, "scheduler": "DPM++ SDE Karras", "hr_upscaler": "Latent", "num_outputs": 1, "guidance_scale": 7.5, "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,", "denoising_strength": 0.5, "num_inference_steps": 20 }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 speshiou/majicmix-realistic-sd-webui using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "speshiou/majicmix-realistic-sd-webui:0dcea15d52b30ad7d461db14c5bb881dbc04a7db9bef50e22a94580f16791dbe", { input: { seed: -1, width: 512, height: 768, prompt: "1girl, sweater", hr_scale: 2, hr_steps: 20, enable_hr: true, scheduler: "DPM++ SDE Karras", hr_upscaler: "Latent", num_outputs: 1, guidance_scale: 7.5, negative_prompt: "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,", denoising_strength: 0.5, num_inference_steps: 20 } } ); // 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 speshiou/majicmix-realistic-sd-webui using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "speshiou/majicmix-realistic-sd-webui:0dcea15d52b30ad7d461db14c5bb881dbc04a7db9bef50e22a94580f16791dbe", input={ "seed": -1, "width": 512, "height": 768, "prompt": "1girl, sweater", "hr_scale": 2, "hr_steps": 20, "enable_hr": True, "scheduler": "DPM++ SDE Karras", "hr_upscaler": "Latent", "num_outputs": 1, "guidance_scale": 7.5, "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,", "denoising_strength": 0.5, "num_inference_steps": 20 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run speshiou/majicmix-realistic-sd-webui 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": "speshiou/majicmix-realistic-sd-webui:0dcea15d52b30ad7d461db14c5bb881dbc04a7db9bef50e22a94580f16791dbe", "input": { "seed": -1, "width": 512, "height": 768, "prompt": "1girl, sweater", "hr_scale": 2, "hr_steps": 20, "enable_hr": true, "scheduler": "DPM++ SDE Karras", "hr_upscaler": "Latent", "num_outputs": 1, "guidance_scale": 7.5, "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,", "denoising_strength": 0.5, "num_inference_steps": 20 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-28T04:03:48.986964Z", "created_at": "2023-12-28T04:01:11.421592Z", "data_removed": false, "error": null, "id": "fxcobkrbjt76l42xougsotxeru", "input": { "seed": -1, "width": 512, "height": 768, "prompt": "1girl, sweater", "hr_scale": 2, "hr_steps": 20, "enable_hr": true, "scheduler": "DPM++ SDE Karras", "hr_upscaler": "Latent", "num_outputs": 1, "guidance_scale": 7.5, "negative_prompt": "(worst quality:2),(low quality:2),(normal quality:2),lowres,watermark,", "denoising_strength": 0.5, "num_inference_steps": 20 }, "logs": "Total progress: 0%| | 0/20 [00:00<?, ?it/s]\u001b[A\n 0%| | 0/20 [00:00<?, ?it/s]\nTotal progress: 2%|▎ | 1/40 [00:00<00:16, 2.42it/s]\u001b[A\n 5%|▌ | 1/20 [00:00<00:14, 1.33it/s]\nTotal progress: 5%|▌ | 2/40 [00:01<00:21, 1.76it/s]\u001b[A\n 10%|█ | 2/20 [00:01<00:12, 1.39it/s]\nTotal progress: 8%|▊ | 3/40 [00:01<00:23, 1.59it/s]\u001b[A\n 15%|█▌ | 3/20 [00:02<00:11, 1.42it/s]\nTotal progress: 10%|█ | 4/40 [00:02<00:23, 1.53it/s]\u001b[A\n 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progress: 78%|███████▊ | 31/40 [01:27<01:02, 6.98s/it]\u001b[A\n 55%|█████▌ | 11/20 [01:17<01:04, 7.18s/it]\nTotal progress: 80%|████████ | 32/40 [01:34<00:56, 7.10s/it]\u001b[A\n 60%|██████ | 12/20 [01:24<00:58, 7.26s/it]\nTotal progress: 82%|████████▎ | 33/40 [01:42<00:50, 7.23s/it]\u001b[A\n 65%|██████▌ | 13/20 [01:32<00:51, 7.35s/it]\nTotal progress: 85%|████████▌ | 34/40 [01:49<00:43, 7.32s/it]\u001b[A\n 70%|███████ | 14/20 [01:39<00:44, 7.38s/it]\nTotal progress: 88%|████████▊ | 35/40 [01:56<00:36, 7.34s/it]\u001b[A\n 75%|███████▌ | 15/20 [01:46<00:36, 7.37s/it]\nTotal progress: 90%|█████████ | 36/40 [02:04<00:29, 7.34s/it]\u001b[A\n 80%|████████ | 16/20 [01:54<00:29, 7.36s/it]\nTotal progress: 92%|█████████▎| 37/40 [02:11<00:21, 7.33s/it]\u001b[A\n 85%|████████▌ | 17/20 [02:01<00:22, 7.34s/it]\nTotal progress: 95%|█████████▌| 38/40 [02:18<00:14, 7.31s/it]\u001b[A\n 90%|█████████ | 18/20 [02:08<00:14, 7.32s/it]\nTotal progress: 98%|█████████▊| 39/40 [02:26<00:07, 7.30s/it]\u001b[A\n 95%|█████████▌| 19/20 [02:16<00:07, 7.31s/it]\n100%|██████████| 20/20 [02:19<00:00, 6.21s/it]\n100%|██████████| 20/20 [02:19<00:00, 6.99s/it]\nTotal progress: 100%|██████████| 40/40 [02:33<00:00, 7.30s/it]\u001b[A\nTotal progress: 100%|██████████| 40/40 [02:34<00:00, 7.30s/it]\u001b[A\nTotal progress: 100%|██████████| 40/40 [02:34<00:00, 3.87s/it]", "metrics": { "predict_time": 157.550444, "total_time": 157.565372 }, "output": [ "https://replicate.delivery/pbxt/720bnW0i56bMFxIPuehMEtwDCezNMIQPO5xt2SzMnuxkWqGSA/4286237041-19a4204c-a536-11ee-86ce-9a8af3b5d8d9.png" ], "started_at": "2023-12-28T04:01:11.436520Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/fxcobkrbjt76l42xougsotxeru", "cancel": "https://api.replicate.com/v1/predictions/fxcobkrbjt76l42xougsotxeru/cancel" }, "version": "0dcea15d52b30ad7d461db14c5bb881dbc04a7db9bef50e22a94580f16791dbe" }Generated inTotal progress: 0%| | 0/20 [00:00<?, ?it/s] 0%| | 0/20 [00:00<?, ?it/s] Total progress: 2%|▎ | 1/40 [00:00<00:16, 2.42it/s] 5%|▌ | 1/20 [00:00<00:14, 1.33it/s] Total progress: 5%|▌ | 2/40 [00:01<00:21, 1.76it/s] 10%|█ | 2/20 [00:01<00:12, 1.39it/s] Total progress: 8%|▊ | 3/40 [00:01<00:23, 1.59it/s] 15%|█▌ | 3/20 [00:02<00:11, 1.42it/s] Total progress: 10%|█ | 4/40 [00:02<00:23, 1.53it/s] 20%|██ | 4/20 [00:02<00:11, 1.43it/s] Total progress: 12%|█▎ | 5/40 [00:03<00:23, 1.50it/s] 25%|██▌ | 5/20 [00:03<00:10, 1.43it/s] Total progress: 15%|█▌ | 6/40 [00:03<00:22, 1.48it/s] 30%|███ | 6/20 [00:04<00:09, 1.44it/s] Total progress: 18%|█▊ | 7/40 [00:04<00:22, 1.47it/s] 35%|███▌ | 7/20 [00:04<00:09, 1.44it/s] Total progress: 20%|██ | 8/40 [00:05<00:21, 1.46it/s] 40%|████ | 8/20 [00:05<00:08, 1.45it/s] Total progress: 22%|██▎ | 9/40 [00:05<00:21, 1.46it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.45it/s] Total progress: 25%|██▌ | 10/40 [00:06<00:20, 1.46it/s] 50%|█████ | 10/20 [00:06<00:06, 1.45it/s] Total progress: 28%|██▊ | 11/40 [00:07<00:19, 1.46it/s] 55%|█████▌ | 11/20 [00:07<00:06, 1.45it/s] Total progress: 30%|███ | 12/40 [00:07<00:19, 1.46it/s] 60%|██████ | 12/20 [00:08<00:05, 1.45it/s] Total progress: 32%|███▎ | 13/40 [00:08<00:18, 1.45it/s] 65%|██████▌ | 13/20 [00:09<00:04, 1.44it/s] Total progress: 35%|███▌ | 14/40 [00:09<00:18, 1.44it/s] 70%|███████ | 14/20 [00:09<00:04, 1.44it/s] Total progress: 38%|███▊ | 15/40 [00:10<00:17, 1.44it/s] 75%|███████▌ | 15/20 [00:10<00:03, 1.44it/s] Total progress: 40%|████ | 16/40 [00:10<00:16, 1.44it/s] 80%|████████ | 16/20 [00:11<00:02, 1.43it/s] Total progress: 42%|████▎ | 17/40 [00:11<00:16, 1.43it/s] 85%|████████▌ | 17/20 [00:11<00:02, 1.44it/s] Total progress: 45%|████▌ | 18/40 [00:12<00:15, 1.43it/s] 90%|█████████ | 18/20 [00:12<00:01, 1.44it/s] Total progress: 48%|████▊ | 19/40 [00:12<00:14, 1.44it/s] 95%|█████████▌| 19/20 [00:13<00:00, 1.45it/s] 100%|██████████| 20/20 [00:13<00:00, 1.71it/s] 100%|██████████| 20/20 [00:13<00:00, 1.48it/s] Total progress: 50%|█████ | 20/40 [00:13<00:13, 1.44it/s] 0%| | 0/20 [00:00<?, ?it/s] Total progress: 52%|█████▎ | 21/40 [00:17<00:29, 1.55s/it] 5%|▌ | 1/20 [00:06<02:10, 6.84s/it] Total progress: 55%|█████▌ | 22/40 [00:23<00:56, 3.13s/it] 10%|█ | 2/20 [00:13<02:03, 6.84s/it] Total progress: 57%|█████▊ | 23/40 [00:30<01:12, 4.25s/it] 15%|█▌ | 3/20 [00:20<01:56, 6.85s/it] Total progress: 60%|██████ | 24/40 [00:37<01:20, 5.03s/it] 20%|██ | 4/20 [00:27<01:49, 6.84s/it] Total progress: 62%|██████▎ | 25/40 [00:44<01:23, 5.57s/it] 25%|██▌ | 5/20 [00:34<01:42, 6.86s/it] Total progress: 65%|██████▌ | 26/40 [00:51<01:23, 5.98s/it] 30%|███ | 6/20 [00:41<01:36, 6.89s/it] Total progress: 68%|██████▊ | 27/40 [00:58<01:21, 6.29s/it] 35%|███▌ | 7/20 [00:48<01:30, 6.95s/it] Total progress: 70%|███████ | 28/40 [01:05<01:18, 6.54s/it] 40%|████ | 8/20 [00:55<01:24, 7.02s/it] Total progress: 72%|███████▎ | 29/40 [01:12<01:13, 6.72s/it] 45%|████▌ | 9/20 [01:02<01:17, 7.05s/it] Total progress: 75%|███████▌ | 30/40 [01:19<01:08, 6.86s/it] 50%|█████ | 10/20 [01:09<01:11, 7.10s/it] Total progress: 78%|███████▊ | 31/40 [01:27<01:02, 6.98s/it] 55%|█████▌ | 11/20 [01:17<01:04, 7.18s/it] Total progress: 80%|████████ | 32/40 [01:34<00:56, 7.10s/it] 60%|██████ | 12/20 [01:24<00:58, 7.26s/it] Total progress: 82%|████████▎ | 33/40 [01:42<00:50, 7.23s/it] 65%|██████▌ | 13/20 [01:32<00:51, 7.35s/it] Total progress: 85%|████████▌ | 34/40 [01:49<00:43, 7.32s/it] 70%|███████ | 14/20 [01:39<00:44, 7.38s/it] Total progress: 88%|████████▊ | 35/40 [01:56<00:36, 7.34s/it] 75%|███████▌ | 15/20 [01:46<00:36, 7.37s/it] Total progress: 90%|█████████ | 36/40 [02:04<00:29, 7.34s/it] 80%|████████ | 16/20 [01:54<00:29, 7.36s/it] Total progress: 92%|█████████▎| 37/40 [02:11<00:21, 7.33s/it] 85%|████████▌ | 17/20 [02:01<00:22, 7.34s/it] Total progress: 95%|█████████▌| 38/40 [02:18<00:14, 7.31s/it] 90%|█████████ | 18/20 [02:08<00:14, 7.32s/it] Total progress: 98%|█████████▊| 39/40 [02:26<00:07, 7.30s/it] 95%|█████████▌| 19/20 [02:16<00:07, 7.31s/it] 100%|██████████| 20/20 [02:19<00:00, 6.21s/it] 100%|██████████| 20/20 [02:19<00:00, 6.99s/it] Total progress: 100%|██████████| 40/40 [02:33<00:00, 7.30s/it] Total progress: 100%|██████████| 40/40 [02:34<00:00, 7.30s/it] Total progress: 100%|██████████| 40/40 [02:34<00:00, 3.87s/it]
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