stability-ai
/
stable-diffusion-img2img
Generate a new image from an input image with Stable Diffusion
Prediction
stability-ai/stable-diffusion-img2img:15a3689eInput
- width
- 512
- height
- 512
- prompt
- A fantasy landscape, trending on artstation
- scheduler
- DPMSolverMultistep
- num_outputs
- 1
- guidance_scale
- 7.5
- prompt_strength
- 0.8
- num_inference_steps
- "25"
{ "image": "https://replicate.delivery/pbxt/HtKMvJSvuGWDn2B35mM396QGzcrgCNkcgSko8JxtXux4aX9H/sketch-mountains-input.jpeg", "width": 512, "height": 512, "prompt": "A fantasy landscape, trending on artstation", "scheduler": "DPMSolverMultistep", "num_outputs": 1, "guidance_scale": 7.5, "prompt_strength": 0.8, "num_inference_steps": "25" }
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 stability-ai/stable-diffusion-img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "stability-ai/stable-diffusion-img2img:15a3689ee13b0d2616e98820eca31d4c3abcd36672df6afce5cb6feb1d66087d", { input: { image: "https://replicate.delivery/pbxt/HtKMvJSvuGWDn2B35mM396QGzcrgCNkcgSko8JxtXux4aX9H/sketch-mountains-input.jpeg", prompt: "A fantasy landscape, trending on artstation", scheduler: "DPMSolverMultistep", num_outputs: 1, guidance_scale: 7.5, prompt_strength: 0.8, num_inference_steps: "25" } } ); 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 stability-ai/stable-diffusion-img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "stability-ai/stable-diffusion-img2img:15a3689ee13b0d2616e98820eca31d4c3abcd36672df6afce5cb6feb1d66087d", input={ "image": "https://replicate.delivery/pbxt/HtKMvJSvuGWDn2B35mM396QGzcrgCNkcgSko8JxtXux4aX9H/sketch-mountains-input.jpeg", "prompt": "A fantasy landscape, trending on artstation", "scheduler": "DPMSolverMultistep", "num_outputs": 1, "guidance_scale": 7.5, "prompt_strength": 0.8, "num_inference_steps": "25" } ) 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 stability-ai/stable-diffusion-img2img 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": "15a3689ee13b0d2616e98820eca31d4c3abcd36672df6afce5cb6feb1d66087d", "input": { "image": "https://replicate.delivery/pbxt/HtKMvJSvuGWDn2B35mM396QGzcrgCNkcgSko8JxtXux4aX9H/sketch-mountains-input.jpeg", "prompt": "A fantasy landscape, trending on artstation", "scheduler": "DPMSolverMultistep", "num_outputs": 1, "guidance_scale": 7.5, "prompt_strength": 0.8, "num_inference_steps": "25" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2022-12-02T22:58:41.057001Z", "created_at": "2022-12-02T22:58:37.527127Z", "data_removed": false, "error": null, "id": "m2yxuhgatfe73fvwyhcijgjera", "input": { "image": "https://replicate.delivery/pbxt/HtKMvJSvuGWDn2B35mM396QGzcrgCNkcgSko8JxtXux4aX9H/sketch-mountains-input.jpeg", "width": 512, "height": 512, "prompt": "A fantasy landscape, trending on artstation", "scheduler": "DPMSolverMultistep", "num_outputs": 1, "guidance_scale": 7.5, "prompt_strength": 0.8, "num_inference_steps": "25" }, "logs": "Using seed: 53915\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:02, 8.32it/s]\n 10%|█ | 2/20 [00:00<00:01, 9.21it/s]\n 20%|██ | 4/20 [00:00<00:01, 10.05it/s]\n 30%|███ | 6/20 [00:00<00:01, 10.31it/s]\n 40%|████ | 8/20 [00:00<00:01, 10.43it/s]\n 50%|█████ | 10/20 [00:00<00:00, 10.50it/s]\n 60%|██████ | 12/20 [00:01<00:00, 10.53it/s]\n 70%|███████ | 14/20 [00:01<00:00, 10.56it/s]\n 80%|████████ | 16/20 [00:01<00:00, 10.58it/s]\n 90%|█████████ | 18/20 [00:01<00:00, 10.59it/s]\n100%|██████████| 20/20 [00:01<00:00, 10.59it/s]\n100%|██████████| 20/20 [00:01<00:00, 10.43it/s]", "metrics": { "predict_time": 3.495285, "total_time": 3.529874 }, "output": [ "https://replicate.delivery/pbxt/ql3ndbIRkiZrChA31NxWt7kHMw9GM61lTrrqTIQcgtBI1gBE/out-0.png" ], "started_at": "2022-12-02T22:58:37.561716Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/m2yxuhgatfe73fvwyhcijgjera", "cancel": "https://api.replicate.com/v1/predictions/m2yxuhgatfe73fvwyhcijgjera/cancel" }, "version": "ddd4eb440853a42c055203289a3da0c8886b0b9492fe619b1c1dbd34be160ce7" }
Generated inUsing seed: 53915 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:02, 8.32it/s] 10%|█ | 2/20 [00:00<00:01, 9.21it/s] 20%|██ | 4/20 [00:00<00:01, 10.05it/s] 30%|███ | 6/20 [00:00<00:01, 10.31it/s] 40%|████ | 8/20 [00:00<00:01, 10.43it/s] 50%|█████ | 10/20 [00:00<00:00, 10.50it/s] 60%|██████ | 12/20 [00:01<00:00, 10.53it/s] 70%|███████ | 14/20 [00:01<00:00, 10.56it/s] 80%|████████ | 16/20 [00:01<00:00, 10.58it/s] 90%|█████████ | 18/20 [00:01<00:00, 10.59it/s] 100%|██████████| 20/20 [00:01<00:00, 10.59it/s] 100%|██████████| 20/20 [00:01<00:00, 10.43it/s]
Prediction
stability-ai/stable-diffusion-img2img:15a3689eInput
- width
- 512
- height
- 512
- prompt
- A fantasy landscape, trending on artstation
- scheduler
- K_EULER_ANCESTRAL
- num_outputs
- 1
- guidance_scale
- 7.5
- prompt_strength
- 0.8
- num_inference_steps
- "25"
{ "image": "https://replicate.delivery/pbxt/HtKMvJSvuGWDn2B35mM396QGzcrgCNkcgSko8JxtXux4aX9H/sketch-mountains-input.jpeg", "width": 512, "height": 512, "prompt": "A fantasy landscape, trending on artstation", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "prompt_strength": 0.8, "num_inference_steps": "25" }
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 stability-ai/stable-diffusion-img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "stability-ai/stable-diffusion-img2img:15a3689ee13b0d2616e98820eca31d4c3abcd36672df6afce5cb6feb1d66087d", { input: { image: "https://replicate.delivery/pbxt/HtKMvJSvuGWDn2B35mM396QGzcrgCNkcgSko8JxtXux4aX9H/sketch-mountains-input.jpeg", prompt: "A fantasy landscape, trending on artstation", scheduler: "K_EULER_ANCESTRAL", num_outputs: 1, guidance_scale: 7.5, prompt_strength: 0.8, num_inference_steps: "25" } } ); 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 stability-ai/stable-diffusion-img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "stability-ai/stable-diffusion-img2img:15a3689ee13b0d2616e98820eca31d4c3abcd36672df6afce5cb6feb1d66087d", input={ "image": "https://replicate.delivery/pbxt/HtKMvJSvuGWDn2B35mM396QGzcrgCNkcgSko8JxtXux4aX9H/sketch-mountains-input.jpeg", "prompt": "A fantasy landscape, trending on artstation", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "prompt_strength": 0.8, "num_inference_steps": "25" } ) 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 stability-ai/stable-diffusion-img2img 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": "15a3689ee13b0d2616e98820eca31d4c3abcd36672df6afce5cb6feb1d66087d", "input": { "image": "https://replicate.delivery/pbxt/HtKMvJSvuGWDn2B35mM396QGzcrgCNkcgSko8JxtXux4aX9H/sketch-mountains-input.jpeg", "prompt": "A fantasy landscape, trending on artstation", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "prompt_strength": 0.8, "num_inference_steps": "25" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2022-12-03T00:14:26.914917Z", "created_at": "2022-12-03T00:08:54.911903Z", "data_removed": false, "error": null, "id": "qddjw5nx4jg27ocmusjrxtejs4", "input": { "image": "https://replicate.delivery/pbxt/HtKMvJSvuGWDn2B35mM396QGzcrgCNkcgSko8JxtXux4aX9H/sketch-mountains-input.jpeg", "width": 512, "height": 512, "prompt": "A fantasy landscape, trending on artstation", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "prompt_strength": 0.8, "num_inference_steps": "25" }, "logs": "Using seed: 9445\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:03, 5.53it/s]\n 10%|█ | 2/20 [00:00<00:02, 6.84it/s]\n 15%|█▌ | 3/20 [00:00<00:02, 7.40it/s]\n 20%|██ | 4/20 [00:00<00:02, 7.70it/s]\n 25%|██▌ | 5/20 [00:00<00:01, 7.88it/s]\n 30%|███ | 6/20 [00:00<00:01, 7.99it/s]\n 35%|███▌ | 7/20 [00:00<00:01, 8.07it/s]\n 40%|████ | 8/20 [00:01<00:01, 8.12it/s]\n 45%|████▌ | 9/20 [00:01<00:01, 8.16it/s]\n 50%|█████ | 10/20 [00:01<00:01, 8.18it/s]\n 55%|█████▌ | 11/20 [00:01<00:01, 8.19it/s]\n 60%|██████ | 12/20 [00:01<00:00, 8.20it/s]\n 65%|██████▌ | 13/20 [00:01<00:00, 8.21it/s]\n 70%|███████ | 14/20 [00:01<00:00, 8.19it/s]\n 75%|███████▌ | 15/20 [00:01<00:00, 8.20it/s]\n 80%|████████ | 16/20 [00:02<00:00, 8.20it/s]\n 85%|████████▌ | 17/20 [00:02<00:00, 8.20it/s]\n 90%|█████████ | 18/20 [00:02<00:00, 8.20it/s]\n 95%|█████████▌| 19/20 [00:02<00:00, 8.20it/s]\n100%|██████████| 20/20 [00:02<00:00, 8.20it/s]\n100%|██████████| 20/20 [00:02<00:00, 8.02it/s]", "metrics": { "predict_time": 5.559297, "total_time": 332.003014 }, "output": [ "https://replicate.delivery/pbxt/4vMrIQLDhRLnOt8PMiAPdKuePh8KZ6RmLjW8FyR6feeLuRYAB/out-0.png" ], "started_at": "2022-12-03T00:14:21.355620Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/qddjw5nx4jg27ocmusjrxtejs4", "cancel": "https://api.replicate.com/v1/predictions/qddjw5nx4jg27ocmusjrxtejs4/cancel" }, "version": "9a9b6aa5ac2793993aaaff48fd0e05fc5be213bc85a0bafd24e578d3bb81e628" }
Generated inUsing seed: 9445 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:03, 5.53it/s] 10%|█ | 2/20 [00:00<00:02, 6.84it/s] 15%|█▌ | 3/20 [00:00<00:02, 7.40it/s] 20%|██ | 4/20 [00:00<00:02, 7.70it/s] 25%|██▌ | 5/20 [00:00<00:01, 7.88it/s] 30%|███ | 6/20 [00:00<00:01, 7.99it/s] 35%|███▌ | 7/20 [00:00<00:01, 8.07it/s] 40%|████ | 8/20 [00:01<00:01, 8.12it/s] 45%|████▌ | 9/20 [00:01<00:01, 8.16it/s] 50%|█████ | 10/20 [00:01<00:01, 8.18it/s] 55%|█████▌ | 11/20 [00:01<00:01, 8.19it/s] 60%|██████ | 12/20 [00:01<00:00, 8.20it/s] 65%|██████▌ | 13/20 [00:01<00:00, 8.21it/s] 70%|███████ | 14/20 [00:01<00:00, 8.19it/s] 75%|███████▌ | 15/20 [00:01<00:00, 8.20it/s] 80%|████████ | 16/20 [00:02<00:00, 8.20it/s] 85%|████████▌ | 17/20 [00:02<00:00, 8.20it/s] 90%|█████████ | 18/20 [00:02<00:00, 8.20it/s] 95%|█████████▌| 19/20 [00:02<00:00, 8.20it/s] 100%|██████████| 20/20 [00:02<00:00, 8.20it/s] 100%|██████████| 20/20 [00:02<00:00, 8.02it/s]
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