andreasjansson/deepfloyd-if
deepfloyd-if
The DeepFloyd IF model has been initially released as a non-commercial research-only model. Please make sure you read and abide to the license before using it.
Prediction
andreasjansson/deepfloyd-if:642dcbffc8e8a3522242a4d4b8f3159470bf86a3eb7ccf852337cdc6440698c2Input
- seed
- 1
- prompt
- anime astronaut riding a horse on mars
{ "seed": 1, "prompt": "anime astronaut riding a horse on mars" }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 andreasjansson/deepfloyd-if using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "andreasjansson/deepfloyd-if:642dcbffc8e8a3522242a4d4b8f3159470bf86a3eb7ccf852337cdc6440698c2", { input: { seed: 1, prompt: "anime astronaut riding a horse on mars" } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);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 andreasjansson/deepfloyd-if using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "andreasjansson/deepfloyd-if:642dcbffc8e8a3522242a4d4b8f3159470bf86a3eb7ccf852337cdc6440698c2", input={ "seed": 1, "prompt": "anime astronaut riding a horse on mars" } ) # To access the file URL: print(output.url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output.read())To learn more, take a look at the guide on getting started with Python.
Run andreasjansson/deepfloyd-if 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": "andreasjansson/deepfloyd-if:642dcbffc8e8a3522242a4d4b8f3159470bf86a3eb7ccf852337cdc6440698c2", "input": { "seed": 1, "prompt": "anime astronaut riding a horse on mars" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-04-28T19:18:02.547701Z", "created_at": "2023-04-28T19:17:15.654917Z", "data_removed": false, "error": null, "id": "ddoxxuloojfetbzu2mfkmmnbcu", "input": { "seed": 1, "prompt": "anime astronaut riding a horse on mars" }, "logs": "0%| | 0/100 [00:00<?, ?it/s]\n 1%| | 1/100 [00:02<04:21, 2.64s/it]\n 3%|▎ | 3/100 [00:02<01:13, 1.33it/s]\n 5%|▌ | 5/100 [00:03<00:39, 2.43it/s]\n 7%|▋ | 7/100 [00:03<00:25, 3.62it/s]\n 9%|▉ | 9/100 [00:03<00:18, 4.85it/s]\n 11%|█ | 11/100 [00:03<00:14, 6.05it/s]\n 13%|█▎ | 13/100 [00:03<00:12, 7.16it/s]\n 15%|█▌ | 15/100 [00:03<00:10, 8.11it/s]\n 17%|█▋ | 17/100 [00:04<00:09, 8.89it/s]\n 19%|█▉ | 19/100 [00:04<00:08, 9.50it/s]\n 21%|██ | 21/100 [00:04<00:07, 9.93it/s]\n 23%|██▎ | 23/100 [00:04<00:07, 10.29it/s]\n 25%|██▌ | 25/100 [00:04<00:07, 10.55it/s]\n 27%|██▋ | 27/100 [00:04<00:06, 10.70it/s]\n 29%|██▉ | 29/100 [00:05<00:06, 10.85it/s]\n 31%|███ | 31/100 [00:05<00:06, 10.97it/s]\n 33%|███▎ | 33/100 [00:05<00:06, 11.02it/s]\n 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96%|█████████▌| 72/75 [00:07<00:00, 9.84it/s]\n 97%|█████████▋| 73/75 [00:07<00:00, 9.83it/s]\n 99%|█████████▊| 74/75 [00:07<00:00, 9.83it/s]\n100%|██████████| 75/75 [00:07<00:00, 9.82it/s]\n100%|██████████| 75/75 [00:07<00:00, 9.46it/s]", "metrics": { "predict_time": 46.850276, "total_time": 46.892784 }, "output": "https://replicate.delivery/pbxt/KgfeOYshHUjf3JWOiY1PKDGdLV16PRIMAkGuujoqBjGTv5shA/out.png", "started_at": "2023-04-28T19:17:15.697425Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ddoxxuloojfetbzu2mfkmmnbcu", "cancel": "https://api.replicate.com/v1/predictions/ddoxxuloojfetbzu2mfkmmnbcu/cancel" }, "version": "642dcbffc8e8a3522242a4d4b8f3159470bf86a3eb7ccf852337cdc6440698c2" }Generated in0%| | 0/100 [00:00<?, ?it/s] 1%| | 1/100 [00:02<04:21, 2.64s/it] 3%|▎ | 3/100 [00:02<01:13, 1.33it/s] 5%|▌ | 5/100 [00:03<00:39, 2.43it/s] 7%|▋ | 7/100 [00:03<00:25, 3.62it/s] 9%|▉ | 9/100 [00:03<00:18, 4.85it/s] 11%|█ | 11/100 [00:03<00:14, 6.05it/s] 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andreasjansson/deepfloyd-if:fb84d659df149f4515c351e394d22222a94144aa1403870c36025c8b28846c8dInput
- seed
- 1
- prompt
- 1980s postcard of a tropical beach with the text "Welcome to the future"
{ "seed": 1, "prompt": "1980s postcard of a tropical beach with the text \"Welcome to the future\"" }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 andreasjansson/deepfloyd-if using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "andreasjansson/deepfloyd-if:fb84d659df149f4515c351e394d22222a94144aa1403870c36025c8b28846c8d", { input: { seed: 1, prompt: "1980s postcard of a tropical beach with the text \"Welcome to the future\"" } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);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 andreasjansson/deepfloyd-if using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "andreasjansson/deepfloyd-if:fb84d659df149f4515c351e394d22222a94144aa1403870c36025c8b28846c8d", input={ "seed": 1, "prompt": "1980s postcard of a tropical beach with the text \"Welcome to the future\"" } ) # To access the file URL: print(output.url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output.read())To learn more, take a look at the guide on getting started with Python.
Run andreasjansson/deepfloyd-if 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": "andreasjansson/deepfloyd-if:fb84d659df149f4515c351e394d22222a94144aa1403870c36025c8b28846c8d", "input": { "seed": 1, "prompt": "1980s postcard of a tropical beach with the text \\"Welcome to the future\\"" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-05-12T16:43:11.593566Z", "created_at": "2023-05-12T16:41:54.814275Z", "data_removed": false, "error": null, "id": "iwrzgvfxlnczzidja24ksnwvde", "input": { "seed": 1, "prompt": "1980s postcard of a tropical beach with the text \"Welcome to the future\"" }, "logs": "Using seed: 1\n 0%| | 0/100 [00:00<?, ?it/s]\n 1%| | 1/100 [00:02<04:01, 2.44s/it]\n 2%|▏ | 2/100 [00:02<01:44, 1.07s/it]\n 4%|▍ | 4/100 [00:02<00:43, 2.20it/s]\n 6%|▌ | 6/100 [00:02<00:26, 3.53it/s]\n 8%|▊ | 8/100 [00:03<00:19, 4.84it/s]\n 10%|█ | 10/100 [00:03<00:14, 6.11it/s]\n 12%|█▏ | 12/100 [00:03<00:12, 7.14it/s]\n 14%|█▍ | 14/100 [00:03<00:10, 8.06it/s]\n 16%|█▌ | 16/100 [00:03<00:09, 8.79it/s]\n 18%|█▊ | 18/100 [00:04<00:08, 9.36it/s]\n 20%|██ | 20/100 [00:04<00:08, 9.65it/s]\n 22%|██▏ | 22/100 [00:04<00:07, 10.04it/s]\n 24%|██▍ | 24/100 [00:04<00:07, 10.33it/s]\n 26%|██▌ | 26/100 [00:04<00:07, 10.52it/s]\n 28%|██▊ | 28/100 [00:04<00:06, 10.72it/s]\n 30%|███ | 30/100 [00:05<00:06, 10.84it/s]\n 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[00:03<00:04, 9.79it/s]\n 48%|████▊ | 36/75 [00:03<00:03, 9.77it/s]\n 49%|████▉ | 37/75 [00:04<00:03, 9.74it/s]\n 51%|█████ | 38/75 [00:04<00:03, 9.75it/s]\n 52%|█████▏ | 39/75 [00:04<00:03, 9.72it/s]\n 53%|█████▎ | 40/75 [00:04<00:03, 9.76it/s]\n 55%|█████▍ | 41/75 [00:04<00:03, 9.74it/s]\n 56%|█████▌ | 42/75 [00:04<00:03, 9.68it/s]\n 57%|█████▋ | 43/75 [00:04<00:03, 9.74it/s]\n 59%|█████▊ | 44/75 [00:04<00:03, 9.76it/s]\n 60%|██████ | 45/75 [00:04<00:03, 9.74it/s]\n 61%|██████▏ | 46/75 [00:04<00:02, 9.75it/s]\n 63%|██████▎ | 47/75 [00:05<00:02, 9.69it/s]\n 64%|██████▍ | 48/75 [00:05<00:02, 9.66it/s]\n 65%|██████▌ | 49/75 [00:05<00:02, 9.73it/s]\n 67%|██████▋ | 50/75 [00:05<00:02, 9.76it/s]\n 68%|██████▊ | 51/75 [00:05<00:02, 9.76it/s]\n 69%|██████▉ | 52/75 [00:05<00:02, 9.78it/s]\n 71%|███████ | 53/75 [00:05<00:02, 9.81it/s]\n 72%|███████▏ | 54/75 [00:05<00:02, 9.83it/s]\n 73%|███████▎ | 55/75 [00:05<00:02, 9.83it/s]\n 75%|███████▍ | 56/75 [00:06<00:01, 9.79it/s]\n 76%|███████▌ | 57/75 [00:06<00:01, 9.80it/s]\n 77%|███████▋ | 58/75 [00:06<00:01, 9.74it/s]\n 79%|███████▊ | 59/75 [00:06<00:01, 9.77it/s]\n 80%|████████ | 60/75 [00:06<00:01, 9.75it/s]\n 81%|████████▏ | 61/75 [00:06<00:01, 9.71it/s]\n 83%|████████▎ | 62/75 [00:06<00:01, 9.74it/s]\n 84%|████████▍ | 63/75 [00:06<00:01, 9.77it/s]\n 85%|████████▌ | 64/75 [00:06<00:01, 9.78it/s]\n 87%|████████▋ | 65/75 [00:06<00:01, 9.79it/s]\n 88%|████████▊ | 66/75 [00:07<00:00, 9.76it/s]\n 89%|████████▉ | 67/75 [00:07<00:00, 9.76it/s]\n 91%|█████████ | 68/75 [00:07<00:00, 9.76it/s]\n 92%|█████████▏| 69/75 [00:07<00:00, 9.71it/s]\n 93%|█████████▎| 70/75 [00:07<00:00, 9.72it/s]\n 95%|█████████▍| 71/75 [00:07<00:00, 9.69it/s]\n 96%|█████████▌| 72/75 [00:07<00:00, 9.65it/s]\n 97%|█████████▋| 73/75 [00:07<00:00, 9.66it/s]\n 99%|█████████▊| 74/75 [00:07<00:00, 9.71it/s]\n100%|██████████| 75/75 [00:07<00:00, 9.67it/s]\n100%|██████████| 75/75 [00:07<00:00, 9.42it/s]", "metrics": { "predict_time": 46.724097, "total_time": 76.779291 }, "output": "https://replicate.delivery/pbxt/WH9gOn3HpHpdDBtynGyAZll8CfXWFcz398Al8dRyJSWP9gdIA/out.png", "started_at": "2023-05-12T16:42:24.869469Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/iwrzgvfxlnczzidja24ksnwvde", "cancel": "https://api.replicate.com/v1/predictions/iwrzgvfxlnczzidja24ksnwvde/cancel" }, "version": "fb84d659df149f4515c351e394d22222a94144aa1403870c36025c8b28846c8d" }Generated inUsing seed: 1 0%| | 0/100 [00:00<?, ?it/s] 1%| | 1/100 [00:02<04:01, 2.44s/it] 2%|▏ | 2/100 [00:02<01:44, 1.07s/it] 4%|▍ | 4/100 [00:02<00:43, 2.20it/s] 6%|▌ | 6/100 [00:02<00:26, 3.53it/s] 8%|▊ | 8/100 [00:03<00:19, 4.84it/s] 10%|█ | 10/100 [00:03<00:14, 6.11it/s] 12%|█▏ | 12/100 [00:03<00:12, 7.14it/s] 14%|█▍ | 14/100 [00:03<00:10, 8.06it/s] 16%|█▌ | 16/100 [00:03<00:09, 8.79it/s] 18%|█▊ | 18/100 [00:04<00:08, 9.36it/s] 20%|██ | 20/100 [00:04<00:08, 9.65it/s] 22%|██▏ | 22/100 [00:04<00:07, 10.04it/s] 24%|██▍ | 24/100 [00:04<00:07, 10.33it/s] 26%|██▌ | 26/100 [00:04<00:07, 10.52it/s] 28%|██▊ | 28/100 [00:04<00:06, 10.72it/s] 30%|███ | 30/100 [00:05<00:06, 10.84it/s] 32%|███▏ | 32/100 [00:05<00:06, 10.94it/s] 34%|███▍ | 34/100 [00:05<00:06, 10.99it/s] 36%|███▌ | 36/100 [00:05<00:05, 10.90it/s] 38%|███▊ | 38/100 [00:05<00:05, 10.98it/s] 40%|████ | 40/100 [00:06<00:05, 11.03it/s] 42%|████▏ | 42/100 [00:06<00:05, 10.85it/s] 44%|████▍ | 44/100 [00:06<00:05, 10.89it/s] 46%|████▌ | 46/100 [00:06<00:04, 10.85it/s] 48%|████▊ | 48/100 [00:06<00:04, 10.85it/s] 50%|█████ | 50/100 [00:06<00:04, 10.84it/s] 52%|█████▏ | 52/100 [00:07<00:04, 10.83it/s] 54%|█████▍ | 54/100 [00:07<00:04, 10.72it/s] 56%|█████▌ | 56/100 [00:07<00:04, 10.77it/s] 58%|█████▊ | 58/100 [00:07<00:03, 10.76it/s] 60%|██████ | 60/100 [00:07<00:03, 10.89it/s] 62%|██████▏ | 62/100 [00:08<00:03, 10.96it/s] 64%|██████▍ | 64/100 [00:08<00:03, 10.89it/s] 66%|██████▌ | 66/100 [00:08<00:03, 10.93it/s] 68%|██████▊ | 68/100 [00:08<00:02, 10.96it/s] 70%|███████ | 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6.10it/s] 14%|█▍ | 7/50 [00:01<00:05, 7.76it/s] 16%|█▌ | 8/50 [00:01<00:05, 8.25it/s] 20%|██ | 10/50 [00:01<00:04, 9.06it/s] 24%|██▍ | 12/50 [00:01<00:03, 9.58it/s] 28%|██▊ | 14/50 [00:02<00:03, 9.65it/s] 30%|███ | 15/50 [00:02<00:03, 9.60it/s] 32%|███▏ | 16/50 [00:02<00:03, 9.66it/s] 36%|███▌ | 18/50 [00:02<00:03, 9.84it/s] 40%|████ | 20/50 [00:02<00:02, 10.10it/s] 44%|████▍ | 22/50 [00:02<00:02, 10.26it/s] 48%|████▊ | 24/50 [00:03<00:02, 9.96it/s] 50%|█████ | 25/50 [00:03<00:02, 9.81it/s] 52%|█████▏ | 26/50 [00:03<00:02, 9.84it/s] 56%|█████▌ | 28/50 [00:03<00:02, 9.90it/s] 58%|█████▊ | 29/50 [00:03<00:02, 9.85it/s] 60%|██████ | 30/50 [00:03<00:02, 9.86it/s] 62%|██████▏ | 31/50 [00:03<00:01, 9.81it/s] 64%|██████▍ | 32/50 [00:03<00:01, 9.76it/s] 66%|██████▌ | 33/50 [00:03<00:01, 9.57it/s] 68%|██████▊ | 34/50 [00:04<00:01, 9.41it/s] 70%|███████ | 35/50 [00:04<00:01, 9.48it/s] 72%|███████▏ | 36/50 [00:04<00:01, 9.48it/s] 74%|███████▍ | 37/50 [00:04<00:01, 9.62it/s] 76%|███████▌ | 38/50 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