andreasjansson
/
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:fb84d659Input
- seed
- 1
- prompt
- anime astronaut riding a horse on mars
{ "seed": 1, "prompt": "anime astronaut riding a horse on mars" }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; 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: "anime astronaut riding a horse on mars" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run 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": "anime astronaut riding a horse on mars" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
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": "fb84d659df149f4515c351e394d22222a94144aa1403870c36025c8b28846c8d", "input": { "seed": 1, "prompt": "anime astronaut riding a horse on mars" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run andreasjansson/deepfloyd-if using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/andreasjansson/deepfloyd-if@sha256:fb84d659df149f4515c351e394d22222a94144aa1403870c36025c8b28846c8d \ -i 'seed=1' \ -i 'prompt="anime astronaut riding a horse on mars"'
To learn more, take a look at the Cog documentation.
Pull and run andreasjansson/deepfloyd-if using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/andreasjansson/deepfloyd-if@sha256:fb84d659df149f4515c351e394d22222a94144aa1403870c36025c8b28846c8d
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "seed": 1, "prompt": "anime astronaut riding a horse on mars" } }' \ http://localhost:5000/predictions
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" }
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Prediction
andreasjansson/deepfloyd-if:fb84d659Input
- 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\"" }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; 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\"" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run 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\"" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
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": "fb84d659df149f4515c351e394d22222a94144aa1403870c36025c8b28846c8d", "input": { "seed": 1, "prompt": "1980s postcard of a tropical beach with the text \\"Welcome to the future\\"" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Install Cogbrew install cog
If you don’t have Homebrew, there are other installation options available.
Pull and run andreasjansson/deepfloyd-if using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/andreasjansson/deepfloyd-if@sha256:fb84d659df149f4515c351e394d22222a94144aa1403870c36025c8b28846c8d \ -i 'seed=1' \ -i $'prompt="1980s postcard of a tropical beach with the text \\"Welcome to the future\\""'
To learn more, take a look at the Cog documentation.
Pull and run andreasjansson/deepfloyd-if using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/andreasjansson/deepfloyd-if@sha256:fb84d659df149f4515c351e394d22222a94144aa1403870c36025c8b28846c8d
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "seed": 1, "prompt": "1980s postcard of a tropical beach with the text \\"Welcome to the future\\"" } }' \ http://localhost:5000/predictions
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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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%|████▌ 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