cjwbw / supermarionation
Finetuned Stable-diffusion from Gerry Anderson Supermarionation
- Public
- 1.9K runs
-
T4
- GitHub
Prediction
cjwbw/supermarionation:94b2a93e5211618a1e3255a7e4d37add0ce4fd629ddbbd06dd35eaaccf16186dInput
- image
- width
- 512
- height
- 512
- prompt
- Brad Pitt in supermarionation style
- scheduler
- K_EULER
- num_outputs
- 1
- guidance_scale
- 7
- num_inference_steps
- 50
{ "image": "https://replicate.delivery/pbxt/IPYBr61UJghgxqHNIP8Cw1Ky06v2gVQBtMrQoSOqyR0fCuWT/bradd.jpeg", "width": 512, "height": 512, "prompt": "Brad Pitt in supermarionation style", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 7, "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 cjwbw/supermarionation using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "cjwbw/supermarionation:94b2a93e5211618a1e3255a7e4d37add0ce4fd629ddbbd06dd35eaaccf16186d", { input: { image: "https://replicate.delivery/pbxt/IPYBr61UJghgxqHNIP8Cw1Ky06v2gVQBtMrQoSOqyR0fCuWT/bradd.jpeg", width: 512, height: 512, prompt: "Brad Pitt in supermarionation style", scheduler: "K_EULER", num_outputs: 1, guidance_scale: 7, 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 cjwbw/supermarionation using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "cjwbw/supermarionation:94b2a93e5211618a1e3255a7e4d37add0ce4fd629ddbbd06dd35eaaccf16186d", input={ "image": "https://replicate.delivery/pbxt/IPYBr61UJghgxqHNIP8Cw1Ky06v2gVQBtMrQoSOqyR0fCuWT/bradd.jpeg", "width": 512, "height": 512, "prompt": "Brad Pitt in supermarionation style", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 7, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run cjwbw/supermarionation 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": "cjwbw/supermarionation:94b2a93e5211618a1e3255a7e4d37add0ce4fd629ddbbd06dd35eaaccf16186d", "input": { "image": "https://replicate.delivery/pbxt/IPYBr61UJghgxqHNIP8Cw1Ky06v2gVQBtMrQoSOqyR0fCuWT/bradd.jpeg", "width": 512, "height": 512, "prompt": "Brad Pitt in supermarionation style", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 7, "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": "2023-03-03T17:42:04.461841Z", "created_at": "2023-03-03T17:41:47.699046Z", "data_removed": false, "error": null, "id": "iryyq7ljkngc5fkzkosknzpfg4", "input": { "image": "https://replicate.delivery/pbxt/IPYBr61UJghgxqHNIP8Cw1Ky06v2gVQBtMrQoSOqyR0fCuWT/bradd.jpeg", "width": 512, "height": 512, "prompt": "Brad Pitt in supermarionation style", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 7, "num_inference_steps": 50 }, "logs": "Using seed: 15667\n 0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:14, 2.70it/s]\n 5%|▌ | 2/40 [00:00<00:13, 2.72it/s]\n 8%|▊ | 3/40 [00:01<00:13, 2.72it/s]\n 10%|█ | 4/40 [00:01<00:13, 2.73it/s]\n 12%|█▎ | 5/40 [00:01<00:12, 2.73it/s]\n 15%|█▌ | 6/40 [00:02<00:12, 2.72it/s]\n 18%|█▊ | 7/40 [00:02<00:12, 2.71it/s]\n 20%|██ | 8/40 [00:02<00:11, 2.71it/s]\n 22%|██▎ | 9/40 [00:03<00:11, 2.72it/s]\n 25%|██▌ | 10/40 [00:03<00:11, 2.73it/s]\n 28%|██▊ | 11/40 [00:04<00:10, 2.72it/s]\n 30%|███ | 12/40 [00:04<00:10, 2.72it/s]\n 32%|███▎ | 13/40 [00:04<00:09, 2.71it/s]\n 35%|███▌ | 14/40 [00:05<00:09, 2.72it/s]\n 38%|███▊ | 15/40 [00:05<00:09, 2.72it/s]\n 40%|████ | 16/40 [00:05<00:08, 2.72it/s]\n 42%|████▎ | 17/40 [00:06<00:08, 2.72it/s]\n 45%|████▌ | 18/40 [00:06<00:08, 2.71it/s]\n 48%|████▊ | 19/40 [00:06<00:07, 2.71it/s]\n 50%|█████ | 20/40 [00:07<00:07, 2.71it/s]\n 52%|█████▎ | 21/40 [00:07<00:07, 2.71it/s]\n 55%|█████▌ | 22/40 [00:08<00:06, 2.71it/s]\n 57%|█████▊ | 23/40 [00:08<00:06, 2.70it/s]\n 60%|██████ | 24/40 [00:08<00:05, 2.70it/s]\n 62%|██████▎ | 25/40 [00:09<00:05, 2.70it/s]\n 65%|██████▌ | 26/40 [00:09<00:05, 2.69it/s]\n 68%|██████▊ | 27/40 [00:09<00:04, 2.69it/s]\n 70%|███████ | 28/40 [00:10<00:04, 2.69it/s]\n 72%|███████▎ | 29/40 [00:10<00:04, 2.68it/s]\n 75%|███████▌ | 30/40 [00:11<00:03, 2.69it/s]\n 78%|███████▊ | 31/40 [00:11<00:03, 2.69it/s]\n 80%|████████ | 32/40 [00:11<00:02, 2.68it/s]\n 82%|████████▎ | 33/40 [00:12<00:02, 2.68it/s]\n 85%|████████▌ | 34/40 [00:12<00:02, 2.68it/s]\n 88%|████████▊ | 35/40 [00:12<00:01, 2.68it/s]\n 90%|█████████ | 36/40 [00:13<00:01, 2.68it/s]\n 92%|█████████▎| 37/40 [00:13<00:01, 2.68it/s]\n 95%|█████████▌| 38/40 [00:14<00:00, 2.67it/s]\n 98%|█████████▊| 39/40 [00:14<00:00, 2.67it/s]\n100%|██████████| 40/40 [00:14<00:00, 2.66it/s]\n100%|██████████| 40/40 [00:14<00:00, 2.70it/s]", "metrics": { "predict_time": 16.682007, "total_time": 16.762795 }, "output": [ "https://replicate.delivery/pbxt/ZeU0zaMIaEyDAqdo3eDTCFjtyo1jgBZJIiVan2ad33drNeHhA/out-0.png" ], "started_at": "2023-03-03T17:41:47.779834Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/iryyq7ljkngc5fkzkosknzpfg4", "cancel": "https://api.replicate.com/v1/predictions/iryyq7ljkngc5fkzkosknzpfg4/cancel" }, "version": "94b2a93e5211618a1e3255a7e4d37add0ce4fd629ddbbd06dd35eaaccf16186d" }Generated inUsing seed: 15667 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:14, 2.70it/s] 5%|▌ | 2/40 [00:00<00:13, 2.72it/s] 8%|▊ | 3/40 [00:01<00:13, 2.72it/s] 10%|█ | 4/40 [00:01<00:13, 2.73it/s] 12%|█▎ | 5/40 [00:01<00:12, 2.73it/s] 15%|█▌ | 6/40 [00:02<00:12, 2.72it/s] 18%|█▊ | 7/40 [00:02<00:12, 2.71it/s] 20%|██ | 8/40 [00:02<00:11, 2.71it/s] 22%|██▎ | 9/40 [00:03<00:11, 2.72it/s] 25%|██▌ | 10/40 [00:03<00:11, 2.73it/s] 28%|██▊ | 11/40 [00:04<00:10, 2.72it/s] 30%|███ | 12/40 [00:04<00:10, 2.72it/s] 32%|███▎ | 13/40 [00:04<00:09, 2.71it/s] 35%|███▌ | 14/40 [00:05<00:09, 2.72it/s] 38%|███▊ | 15/40 [00:05<00:09, 2.72it/s] 40%|████ | 16/40 [00:05<00:08, 2.72it/s] 42%|████▎ | 17/40 [00:06<00:08, 2.72it/s] 45%|████▌ | 18/40 [00:06<00:08, 2.71it/s] 48%|████▊ | 19/40 [00:06<00:07, 2.71it/s] 50%|█████ | 20/40 [00:07<00:07, 2.71it/s] 52%|█████▎ | 21/40 [00:07<00:07, 2.71it/s] 55%|█████▌ | 22/40 [00:08<00:06, 2.71it/s] 57%|█████▊ | 23/40 [00:08<00:06, 2.70it/s] 60%|██████ | 24/40 [00:08<00:05, 2.70it/s] 62%|██████▎ | 25/40 [00:09<00:05, 2.70it/s] 65%|██████▌ | 26/40 [00:09<00:05, 2.69it/s] 68%|██████▊ | 27/40 [00:09<00:04, 2.69it/s] 70%|███████ | 28/40 [00:10<00:04, 2.69it/s] 72%|███████▎ | 29/40 [00:10<00:04, 2.68it/s] 75%|███████▌ | 30/40 [00:11<00:03, 2.69it/s] 78%|███████▊ | 31/40 [00:11<00:03, 2.69it/s] 80%|████████ | 32/40 [00:11<00:02, 2.68it/s] 82%|████████▎ | 33/40 [00:12<00:02, 2.68it/s] 85%|████████▌ | 34/40 [00:12<00:02, 2.68it/s] 88%|████████▊ | 35/40 [00:12<00:01, 2.68it/s] 90%|█████████ | 36/40 [00:13<00:01, 2.68it/s] 92%|█████████▎| 37/40 [00:13<00:01, 2.68it/s] 95%|█████████▌| 38/40 [00:14<00:00, 2.67it/s] 98%|█████████▊| 39/40 [00:14<00:00, 2.67it/s] 100%|██████████| 40/40 [00:14<00:00, 2.66it/s] 100%|██████████| 40/40 [00:14<00:00, 2.70it/s]Prediction
cjwbw/supermarionation:94b2a93e5211618a1e3255a7e4d37add0ce4fd629ddbbd06dd35eaaccf16186dIDocc3o5fkwrcknfuytze3jvw5rqStatusSucceededSourceWebHardware–Total durationCreatedInput
- width
- 512
- height
- 512
- prompt
- Barack Obama in supermarionation style
- scheduler
- K_EULER
- num_outputs
- 1
- guidance_scale
- "7"
- num_inference_steps
- "40"
{ "width": 512, "height": 512, "prompt": "Barack Obama in supermarionation style", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": "7", "num_inference_steps": "40" }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 cjwbw/supermarionation using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "cjwbw/supermarionation:94b2a93e5211618a1e3255a7e4d37add0ce4fd629ddbbd06dd35eaaccf16186d", { input: { width: 512, height: 512, prompt: "Barack Obama in supermarionation style", scheduler: "K_EULER", num_outputs: 1, guidance_scale: "7", num_inference_steps: "40" } } ); // 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 cjwbw/supermarionation using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "cjwbw/supermarionation:94b2a93e5211618a1e3255a7e4d37add0ce4fd629ddbbd06dd35eaaccf16186d", input={ "width": 512, "height": 512, "prompt": "Barack Obama in supermarionation style", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": "7", "num_inference_steps": "40" } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run cjwbw/supermarionation 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": "cjwbw/supermarionation:94b2a93e5211618a1e3255a7e4d37add0ce4fd629ddbbd06dd35eaaccf16186d", "input": { "width": 512, "height": 512, "prompt": "Barack Obama in supermarionation style", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": "7", "num_inference_steps": "40" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-03-03T17:55:39.807110Z", "created_at": "2023-03-03T17:55:31.267019Z", "data_removed": false, "error": null, "id": "occ3o5fkwrcknfuytze3jvw5rq", "input": { "width": 512, "height": 512, "prompt": "Barack Obama in supermarionation style", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": "7", "num_inference_steps": "40" }, "logs": "Using seed: 53193\n 0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:09, 4.17it/s]\n 5%|▌ | 2/40 [00:00<00:07, 4.78it/s]\n 8%|▊ | 3/40 [00:00<00:07, 5.01it/s]\n 10%|█ | 4/40 [00:00<00:07, 5.11it/s]\n 12%|█▎ | 5/40 [00:00<00:06, 5.17it/s]\n 15%|█▌ | 6/40 [00:01<00:06, 5.20it/s]\n 18%|█▊ | 7/40 [00:01<00:06, 5.19it/s]\n 20%|██ | 8/40 [00:01<00:06, 5.22it/s]\n 22%|██▎ | 9/40 [00:01<00:05, 5.22it/s]\n 25%|██▌ | 10/40 [00:01<00:05, 5.25it/s]\n 28%|██▊ | 11/40 [00:02<00:05, 5.27it/s]\n 30%|███ | 12/40 [00:02<00:05, 5.24it/s]\n 32%|███▎ | 13/40 [00:02<00:05, 5.26it/s]\n 35%|███▌ | 14/40 [00:02<00:04, 5.23it/s]\n 38%|███▊ | 15/40 [00:02<00:04, 5.25it/s]\n 40%|████ | 16/40 [00:03<00:04, 5.25it/s]\n 42%|████▎ | 17/40 [00:03<00:04, 5.25it/s]\n 45%|████▌ | 18/40 [00:03<00:04, 5.26it/s]\n 48%|████▊ | 19/40 [00:03<00:04, 5.24it/s]\n 50%|█████ | 20/40 [00:03<00:03, 5.25it/s]\n 52%|█████▎ | 21/40 [00:04<00:03, 5.25it/s]\n 55%|█████▌ | 22/40 [00:04<00:03, 5.25it/s]\n 57%|█████▊ | 23/40 [00:04<00:03, 5.24it/s]\n 60%|██████ | 24/40 [00:04<00:03, 5.24it/s]\n 62%|██████▎ | 25/40 [00:04<00:02, 5.27it/s]\n 65%|██████▌ | 26/40 [00:04<00:02, 5.25it/s]\n 68%|██████▊ | 27/40 [00:05<00:02, 5.26it/s]\n 70%|███████ | 28/40 [00:05<00:02, 5.24it/s]\n 72%|███████▎ | 29/40 [00:05<00:02, 5.24it/s]\n 75%|███████▌ | 30/40 [00:05<00:01, 5.24it/s]\n 78%|███████▊ | 31/40 [00:05<00:01, 5.24it/s]\n 80%|████████ | 32/40 [00:06<00:01, 5.24it/s]\n 82%|████████▎ | 33/40 [00:06<00:01, 5.22it/s]\n 85%|████████▌ | 34/40 [00:06<00:01, 5.23it/s]\n 88%|████████▊ | 35/40 [00:06<00:00, 5.23it/s]\n 90%|█████████ | 36/40 [00:06<00:00, 5.25it/s]\n 92%|█████████▎| 37/40 [00:07<00:00, 5.23it/s]\n 95%|█████████▌| 38/40 [00:07<00:00, 5.24it/s]\n 98%|█████████▊| 39/40 [00:07<00:00, 5.24it/s]\n100%|██████████| 40/40 [00:07<00:00, 5.22it/s]\n100%|██████████| 40/40 [00:07<00:00, 5.21it/s]", "metrics": { "predict_time": 8.435542, "total_time": 8.540091 }, "output": [ "https://replicate.delivery/pbxt/CUOmaLrz0a6wBJbnt3zMJNs7ifRrFfhfiMyUMmNvyW1308HhA/out-0.png" ], "started_at": "2023-03-03T17:55:31.371568Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/occ3o5fkwrcknfuytze3jvw5rq", "cancel": "https://api.replicate.com/v1/predictions/occ3o5fkwrcknfuytze3jvw5rq/cancel" }, "version": "94b2a93e5211618a1e3255a7e4d37add0ce4fd629ddbbd06dd35eaaccf16186d" }Generated inUsing seed: 53193 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:09, 4.17it/s] 5%|▌ | 2/40 [00:00<00:07, 4.78it/s] 8%|▊ | 3/40 [00:00<00:07, 5.01it/s] 10%|█ | 4/40 [00:00<00:07, 5.11it/s] 12%|█▎ | 5/40 [00:00<00:06, 5.17it/s] 15%|█▌ | 6/40 [00:01<00:06, 5.20it/s] 18%|█▊ | 7/40 [00:01<00:06, 5.19it/s] 20%|██ | 8/40 [00:01<00:06, 5.22it/s] 22%|██▎ | 9/40 [00:01<00:05, 5.22it/s] 25%|██▌ | 10/40 [00:01<00:05, 5.25it/s] 28%|██▊ | 11/40 [00:02<00:05, 5.27it/s] 30%|███ | 12/40 [00:02<00:05, 5.24it/s] 32%|███▎ | 13/40 [00:02<00:05, 5.26it/s] 35%|███▌ | 14/40 [00:02<00:04, 5.23it/s] 38%|███▊ | 15/40 [00:02<00:04, 5.25it/s] 40%|████ | 16/40 [00:03<00:04, 5.25it/s] 42%|████▎ | 17/40 [00:03<00:04, 5.25it/s] 45%|████▌ | 18/40 [00:03<00:04, 5.26it/s] 48%|████▊ | 19/40 [00:03<00:04, 5.24it/s] 50%|█████ | 20/40 [00:03<00:03, 5.25it/s] 52%|█████▎ | 21/40 [00:04<00:03, 5.25it/s] 55%|█████▌ | 22/40 [00:04<00:03, 5.25it/s] 57%|█████▊ | 23/40 [00:04<00:03, 5.24it/s] 60%|██████ | 24/40 [00:04<00:03, 5.24it/s] 62%|██████▎ | 25/40 [00:04<00:02, 5.27it/s] 65%|██████▌ | 26/40 [00:04<00:02, 5.25it/s] 68%|██████▊ | 27/40 [00:05<00:02, 5.26it/s] 70%|███████ | 28/40 [00:05<00:02, 5.24it/s] 72%|███████▎ | 29/40 [00:05<00:02, 5.24it/s] 75%|███████▌ | 30/40 [00:05<00:01, 5.24it/s] 78%|███████▊ | 31/40 [00:05<00:01, 5.24it/s] 80%|████████ | 32/40 [00:06<00:01, 5.24it/s] 82%|████████▎ | 33/40 [00:06<00:01, 5.22it/s] 85%|████████▌ | 34/40 [00:06<00:01, 5.23it/s] 88%|████████▊ | 35/40 [00:06<00:00, 5.23it/s] 90%|█████████ | 36/40 [00:06<00:00, 5.25it/s] 92%|█████████▎| 37/40 [00:07<00:00, 5.23it/s] 95%|█████████▌| 38/40 [00:07<00:00, 5.24it/s] 98%|█████████▊| 39/40 [00:07<00:00, 5.24it/s] 100%|██████████| 40/40 [00:07<00:00, 5.22it/s] 100%|██████████| 40/40 [00:07<00:00, 5.21it/s]
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