lucataco
/
ssd-1b
Segmind Stable Diffusion Model (SSD-1B) is a distilled 50% smaller version of SDXL, offering a 60% speedup while maintaining high-quality text-to-image generation capabilities
Prediction
lucataco/ssd-1b:b19e3639IDx2s2eqlbdvjii525e3k6jdp4xmStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedby @lucatacoInput
- seed
- 36446545871
- width
- 768
- height
- 768
- prompt
- STICKER, An energetic portrayal of a dancing cactus with a sombrero, amidst a desert sunset, warm twilight glow, summer festival 2024, gradient orange to purple hues, 3D digital drawing, cheerful and vibrant, desert fiesta theme, cartoon shading, glittering sand effect, using Autodesk SketchBook, sticker, 2D animated, lively desert, vector illustration, 2D front view, spotlighted by the setting sun, by Hayao Miyazaki, playful, bright, festive, graphic, outlined edges, vector design.
- scheduler
- K_EULER
- num_outputs
- 1
- guidance_scale
- 9
- negative_prompt
- scary, cartoon, painting
- num_inference_steps
- 25
{ "seed": 36446545871, "width": 768, "height": 768, "prompt": "STICKER, An energetic portrayal of a dancing cactus with a sombrero, amidst a desert sunset, warm twilight glow, summer festival 2024, gradient orange to purple hues, 3D digital drawing, cheerful and vibrant, desert fiesta theme, cartoon shading, glittering sand effect, using Autodesk SketchBook, sticker, 2D animated, lively desert, vector illustration, 2D front view, spotlighted by the setting sun, by Hayao Miyazaki, playful, bright, festive, graphic, outlined edges, vector design.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "num_inference_steps": 25 }
Install Replicate’s Node.js client library:npm install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/ssd-1b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/ssd-1b:b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", { input: { seed: 36446545871, width: 768, height: 768, prompt: "STICKER, An energetic portrayal of a dancing cactus with a sombrero, amidst a desert sunset, warm twilight glow, summer festival 2024, gradient orange to purple hues, 3D digital drawing, cheerful and vibrant, desert fiesta theme, cartoon shading, glittering sand effect, using Autodesk SketchBook, sticker, 2D animated, lively desert, vector illustration, 2D front view, spotlighted by the setting sun, by Hayao Miyazaki, playful, bright, festive, graphic, outlined edges, vector design.", scheduler: "K_EULER", num_outputs: 1, guidance_scale: 9, negative_prompt: "scary, cartoon, painting", num_inference_steps: 25 } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the client:import replicate
Run lucataco/ssd-1b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/ssd-1b:b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", input={ "seed": 36446545871, "width": 768, "height": 768, "prompt": "STICKER, An energetic portrayal of a dancing cactus with a sombrero, amidst a desert sunset, warm twilight glow, summer festival 2024, gradient orange to purple hues, 3D digital drawing, cheerful and vibrant, desert fiesta theme, cartoon shading, glittering sand effect, using Autodesk SketchBook, sticker, 2D animated, lively desert, vector illustration, 2D front view, spotlighted by the setting sun, by Hayao Miyazaki, playful, bright, festive, graphic, outlined edges, vector design.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "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 variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run lucataco/ssd-1b 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": "b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", "input": { "seed": 36446545871, "width": 768, "height": 768, "prompt": "STICKER, An energetic portrayal of a dancing cactus with a sombrero, amidst a desert sunset, warm twilight glow, summer festival 2024, gradient orange to purple hues, 3D digital drawing, cheerful and vibrant, desert fiesta theme, cartoon shading, glittering sand effect, using Autodesk SketchBook, sticker, 2D animated, lively desert, vector illustration, 2D front view, spotlighted by the setting sun, by Hayao Miyazaki, playful, bright, festive, graphic, outlined edges, vector design.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "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": "2023-10-25T01:15:26.642714Z", "created_at": "2023-10-25T01:15:23.229780Z", "data_removed": false, "error": null, "id": "x2s2eqlbdvjii525e3k6jdp4xm", "input": { "seed": 36446545871, "width": 768, "height": 768, "prompt": "STICKER, An energetic portrayal of a dancing cactus with a sombrero, amidst a desert sunset, warm twilight glow, summer festival 2024, gradient orange to purple hues, 3D digital drawing, cheerful and vibrant, desert fiesta theme, cartoon shading, glittering sand effect, using Autodesk SketchBook, sticker, 2D animated, lively desert, vector illustration, 2D front view, spotlighted by the setting sun, by Hayao Miyazaki, playful, bright, festive, graphic, outlined edges, vector design.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "num_inference_steps": 25 }, "logs": "Using seed: 36446545871\nToken indices sequence length is longer than the specified maximum sequence length for this model (109 > 77). Running this sequence through the model will result in indexing errors\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['front view, spotlighted by the setting sun, by hayao miyazaki, playful, bright, festive, graphic, outlined edges, vector design.']\nToken indices sequence length is longer than the specified maximum sequence length for this model (109 > 77). Running this sequence through the model will result in indexing errors\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['front view, spotlighted by the setting sun, by hayao miyazaki, playful, bright, festive, graphic, outlined edges, vector design.']\n 0%| | 0/25 [00:00<?, ?it/s]\n 8%|▊ | 2/25 [00:00<00:01, 12.78it/s]\n 16%|█▌ | 4/25 [00:00<00:01, 12.73it/s]\n 24%|██▍ | 6/25 [00:00<00:01, 12.68it/s]\n 32%|███▏ | 8/25 [00:00<00:01, 12.67it/s]\n 40%|████ | 10/25 [00:00<00:01, 12.65it/s]\n 48%|████▊ | 12/25 [00:00<00:01, 12.64it/s]\n 56%|█████▌ | 14/25 [00:01<00:00, 12.63it/s]\n 64%|██████▍ | 16/25 [00:01<00:00, 12.62it/s]\n 72%|███████▏ | 18/25 [00:01<00:00, 12.60it/s]\n 80%|████████ | 20/25 [00:01<00:00, 12.59it/s]\n 88%|████████▊ | 22/25 [00:01<00:00, 12.59it/s]\n 96%|█████████▌| 24/25 [00:01<00:00, 12.59it/s]\n100%|██████████| 25/25 [00:01<00:00, 12.62it/s]", "metrics": { "predict_time": 3.437817, "total_time": 3.412934 }, "output": [ "https://replicate.delivery/pbxt/e023Do0DaUS9LCWNV0FAonrFbxg7azsnA0jGQPjiKFhW8w4IA/out-0.png" ], "started_at": "2023-10-25T01:15:23.204897Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/x2s2eqlbdvjii525e3k6jdp4xm", "cancel": "https://api.replicate.com/v1/predictions/x2s2eqlbdvjii525e3k6jdp4xm/cancel" }, "version": "1ee85ef681d5ad3d6870b9da1a4543cb3ad702d036fa5b5210f133b83b05a780" }
Generated inUsing seed: 36446545871 Token indices sequence length is longer than the specified maximum sequence length for this model (109 > 77). Running this sequence through the model will result in indexing errors The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['front view, spotlighted by the setting sun, by hayao miyazaki, playful, bright, festive, graphic, outlined edges, vector design.'] Token indices sequence length is longer than the specified maximum sequence length for this model (109 > 77). Running this sequence through the model will result in indexing errors The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['front view, spotlighted by the setting sun, by hayao miyazaki, playful, bright, festive, graphic, outlined edges, vector design.'] 0%| | 0/25 [00:00<?, ?it/s] 8%|▊ | 2/25 [00:00<00:01, 12.78it/s] 16%|█▌ | 4/25 [00:00<00:01, 12.73it/s] 24%|██▍ | 6/25 [00:00<00:01, 12.68it/s] 32%|███▏ | 8/25 [00:00<00:01, 12.67it/s] 40%|████ | 10/25 [00:00<00:01, 12.65it/s] 48%|████▊ | 12/25 [00:00<00:01, 12.64it/s] 56%|█████▌ | 14/25 [00:01<00:00, 12.63it/s] 64%|██████▍ | 16/25 [00:01<00:00, 12.62it/s] 72%|███████▏ | 18/25 [00:01<00:00, 12.60it/s] 80%|████████ | 20/25 [00:01<00:00, 12.59it/s] 88%|████████▊ | 22/25 [00:01<00:00, 12.59it/s] 96%|█████████▌| 24/25 [00:01<00:00, 12.59it/s] 100%|██████████| 25/25 [00:01<00:00, 12.62it/s]
Prediction
lucataco/ssd-1b:b19e3639ID7d6npnlbz5syctess6q2sfkuxeStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedby @lucatacoInput
- seed
- 36446545871
- width
- 768
- height
- 768
- prompt
- Enchanted Library, a mysterious girl with flowing hair, reading an ancient tome, surrounded by floating books, illuminating runes, and curious magical creatures, depicted in Anime style, with soft, radiant glows, intricately patterned magical symbols, and the girl's expressive eyes capturing a sense of wonder.
- scheduler
- K_EULER
- num_outputs
- 1
- guidance_scale
- 9
- negative_prompt
- scary, cartoon, painting
- num_inference_steps
- 25
{ "seed": 36446545871, "width": 768, "height": 768, "prompt": "Enchanted Library, a mysterious girl with flowing hair, reading an ancient tome, surrounded by floating books, illuminating runes, and curious magical creatures, depicted in Anime style, with soft, radiant glows, intricately patterned magical symbols, and the girl's expressive eyes capturing a sense of wonder.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "num_inference_steps": 25 }
Install Replicate’s Node.js client library:npm install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/ssd-1b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/ssd-1b:b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", { input: { seed: 36446545871, width: 768, height: 768, prompt: "Enchanted Library, a mysterious girl with flowing hair, reading an ancient tome, surrounded by floating books, illuminating runes, and curious magical creatures, depicted in Anime style, with soft, radiant glows, intricately patterned magical symbols, and the girl's expressive eyes capturing a sense of wonder.", scheduler: "K_EULER", num_outputs: 1, guidance_scale: 9, negative_prompt: "scary, cartoon, painting", num_inference_steps: 25 } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the client:import replicate
Run lucataco/ssd-1b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/ssd-1b:b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", input={ "seed": 36446545871, "width": 768, "height": 768, "prompt": "Enchanted Library, a mysterious girl with flowing hair, reading an ancient tome, surrounded by floating books, illuminating runes, and curious magical creatures, depicted in Anime style, with soft, radiant glows, intricately patterned magical symbols, and the girl's expressive eyes capturing a sense of wonder.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "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 variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run lucataco/ssd-1b 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": "b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", "input": { "seed": 36446545871, "width": 768, "height": 768, "prompt": "Enchanted Library, a mysterious girl with flowing hair, reading an ancient tome, surrounded by floating books, illuminating runes, and curious magical creatures, depicted in Anime style, with soft, radiant glows, intricately patterned magical symbols, and the girl\'s expressive eyes capturing a sense of wonder.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "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": "2023-10-25T01:15:42.028272Z", "created_at": "2023-10-25T01:15:38.357116Z", "data_removed": false, "error": null, "id": "7d6npnlbz5syctess6q2sfkuxe", "input": { "seed": 36446545871, "width": 768, "height": 768, "prompt": "Enchanted Library, a mysterious girl with flowing hair, reading an ancient tome, surrounded by floating books, illuminating runes, and curious magical creatures, depicted in Anime style, with soft, radiant glows, intricately patterned magical symbols, and the girl's expressive eyes capturing a sense of wonder.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "num_inference_steps": 25 }, "logs": "Using seed: 36446545871\n 0%| | 0/25 [00:00<?, ?it/s]\n 8%|▊ | 2/25 [00:00<00:01, 12.76it/s]\n 16%|█▌ | 4/25 [00:00<00:01, 12.69it/s]\n 24%|██▍ | 6/25 [00:00<00:01, 12.65it/s]\n 32%|███▏ | 8/25 [00:00<00:01, 12.62it/s]\n 40%|████ | 10/25 [00:00<00:01, 12.61it/s]\n 48%|████▊ | 12/25 [00:00<00:01, 12.62it/s]\n 56%|█████▌ | 14/25 [00:01<00:00, 12.63it/s]\n 64%|██████▍ | 16/25 [00:01<00:00, 12.62it/s]\n 72%|███████▏ | 18/25 [00:01<00:00, 12.62it/s]\n 80%|████████ | 20/25 [00:01<00:00, 12.63it/s]\n 88%|████████▊ | 22/25 [00:01<00:00, 12.60it/s]\n 96%|█████████▌| 24/25 [00:01<00:00, 12.60it/s]\n100%|██████████| 25/25 [00:01<00:00, 12.62it/s]", "metrics": { "predict_time": 3.692821, "total_time": 3.671156 }, "output": [ "https://replicate.delivery/pbxt/oiSJopzGnoIVMJ0YDudEplWaLSrzwFMx4VcOxK1t5qXPew4IA/out-0.png" ], "started_at": "2023-10-25T01:15:38.335451Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/7d6npnlbz5syctess6q2sfkuxe", "cancel": "https://api.replicate.com/v1/predictions/7d6npnlbz5syctess6q2sfkuxe/cancel" }, "version": "1ee85ef681d5ad3d6870b9da1a4543cb3ad702d036fa5b5210f133b83b05a780" }
Generated inUsing seed: 36446545871 0%| | 0/25 [00:00<?, ?it/s] 8%|▊ | 2/25 [00:00<00:01, 12.76it/s] 16%|█▌ | 4/25 [00:00<00:01, 12.69it/s] 24%|██▍ | 6/25 [00:00<00:01, 12.65it/s] 32%|███▏ | 8/25 [00:00<00:01, 12.62it/s] 40%|████ | 10/25 [00:00<00:01, 12.61it/s] 48%|████▊ | 12/25 [00:00<00:01, 12.62it/s] 56%|█████▌ | 14/25 [00:01<00:00, 12.63it/s] 64%|██████▍ | 16/25 [00:01<00:00, 12.62it/s] 72%|███████▏ | 18/25 [00:01<00:00, 12.62it/s] 80%|████████ | 20/25 [00:01<00:00, 12.63it/s] 88%|████████▊ | 22/25 [00:01<00:00, 12.60it/s] 96%|█████████▌| 24/25 [00:01<00:00, 12.60it/s] 100%|██████████| 25/25 [00:01<00:00, 12.62it/s]
Prediction
lucataco/ssd-1b:b19e3639IDe7dxuqdb2p7mw6wymrgsnrmjjiStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- seed
- 36446545871
- width
- 768
- height
- 768
- prompt
- Fox, orange and white paper, pointed ears, curled tail, sly expression with sharp folded eyes.
- scheduler
- K_EULER
- num_outputs
- 1
- guidance_scale
- 9
- negative_prompt
- scary, cartoon, painting
- num_inference_steps
- 25
{ "seed": 36446545871, "width": 768, "height": 768, "prompt": "Fox, orange and white paper, pointed ears, curled tail, sly expression with sharp folded eyes.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "num_inference_steps": 25 }
Install Replicate’s Node.js client library:npm install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/ssd-1b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/ssd-1b:b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", { input: { seed: 36446545871, width: 768, height: 768, prompt: "Fox, orange and white paper, pointed ears, curled tail, sly expression with sharp folded eyes.", scheduler: "K_EULER", num_outputs: 1, guidance_scale: 9, negative_prompt: "scary, cartoon, painting", num_inference_steps: 25 } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the client:import replicate
Run lucataco/ssd-1b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/ssd-1b:b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", input={ "seed": 36446545871, "width": 768, "height": 768, "prompt": "Fox, orange and white paper, pointed ears, curled tail, sly expression with sharp folded eyes.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "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 variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run lucataco/ssd-1b 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": "b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", "input": { "seed": 36446545871, "width": 768, "height": 768, "prompt": "Fox, orange and white paper, pointed ears, curled tail, sly expression with sharp folded eyes.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "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": "2023-10-25T01:15:55.220968Z", "created_at": "2023-10-25T01:15:51.744351Z", "data_removed": false, "error": null, "id": "e7dxuqdb2p7mw6wymrgsnrmjji", "input": { "seed": 36446545871, "width": 768, "height": 768, "prompt": "Fox, orange and white paper, pointed ears, curled tail, sly expression with sharp folded eyes.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "num_inference_steps": 25 }, "logs": "Using seed: 36446545871\n 0%| | 0/25 [00:00<?, ?it/s]\n 8%|▊ | 2/25 [00:00<00:01, 12.78it/s]\n 16%|█▌ | 4/25 [00:00<00:01, 12.72it/s]\n 24%|██▍ | 6/25 [00:00<00:01, 12.69it/s]\n 32%|███▏ | 8/25 [00:00<00:01, 12.68it/s]\n 40%|████ | 10/25 [00:00<00:01, 12.68it/s]\n 48%|████▊ | 12/25 [00:00<00:01, 12.67it/s]\n 56%|█████▌ | 14/25 [00:01<00:00, 12.65it/s]\n 64%|██████▍ | 16/25 [00:01<00:00, 12.61it/s]\n 72%|███████▏ | 18/25 [00:01<00:00, 12.60it/s]\n 80%|████████ | 20/25 [00:01<00:00, 12.60it/s]\n 88%|████████▊ | 22/25 [00:01<00:00, 12.59it/s]\n 96%|█████████▌| 24/25 [00:01<00:00, 12.59it/s]\n100%|██████████| 25/25 [00:01<00:00, 12.63it/s]", "metrics": { "predict_time": 3.511922, "total_time": 3.476617 }, "output": [ "https://replicate.delivery/pbxt/tkLnM18A8fRJEyzpkkYYVdTRSf8HDSL6qozvuK1rf05VyDjjA/out-0.png" ], "started_at": "2023-10-25T01:15:51.709046Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/e7dxuqdb2p7mw6wymrgsnrmjji", "cancel": "https://api.replicate.com/v1/predictions/e7dxuqdb2p7mw6wymrgsnrmjji/cancel" }, "version": "1ee85ef681d5ad3d6870b9da1a4543cb3ad702d036fa5b5210f133b83b05a780" }
Generated inUsing seed: 36446545871 0%| | 0/25 [00:00<?, ?it/s] 8%|▊ | 2/25 [00:00<00:01, 12.78it/s] 16%|█▌ | 4/25 [00:00<00:01, 12.72it/s] 24%|██▍ | 6/25 [00:00<00:01, 12.69it/s] 32%|███▏ | 8/25 [00:00<00:01, 12.68it/s] 40%|████ | 10/25 [00:00<00:01, 12.68it/s] 48%|████▊ | 12/25 [00:00<00:01, 12.67it/s] 56%|█████▌ | 14/25 [00:01<00:00, 12.65it/s] 64%|██████▍ | 16/25 [00:01<00:00, 12.61it/s] 72%|███████▏ | 18/25 [00:01<00:00, 12.60it/s] 80%|████████ | 20/25 [00:01<00:00, 12.60it/s] 88%|████████▊ | 22/25 [00:01<00:00, 12.59it/s] 96%|█████████▌| 24/25 [00:01<00:00, 12.59it/s] 100%|██████████| 25/25 [00:01<00:00, 12.63it/s]
Prediction
lucataco/ssd-1b:b19e3639IDlbx2nbdbpkv6ryio7wnng2yfjqStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- seed
- 36446545871
- width
- 768
- height
- 768
- prompt
- NEONPUNK, A rogue hacker in her neon-lit lair, walls covered in digital code, prepping for a cyber heist, cold cyans clashing with electric oranges, 2D digital painting, intense and focused, screens projecting data maps, techy and modern, reminiscent of 'Ghost in the Shell', underground, high-stakes mission, centering the hacker, cables snaking around, mysterious, AI companions hovering, vector art, holo displays open, action-ready stance, by Syd Mead, sleek, tech-infused, with binary code streaming continuously.
- scheduler
- K_EULER
- num_outputs
- 1
- guidance_scale
- 9
- negative_prompt
- scary, cartoon, painting
- num_inference_steps
- 25
{ "seed": 36446545871, "width": 768, "height": 768, "prompt": "NEONPUNK, A rogue hacker in her neon-lit lair, walls covered in digital code, prepping for a cyber heist, cold cyans clashing with electric oranges, 2D digital painting, intense and focused, screens projecting data maps, techy and modern, reminiscent of 'Ghost in the Shell', underground, high-stakes mission, centering the hacker, cables snaking around, mysterious, AI companions hovering, vector art, holo displays open, action-ready stance, by Syd Mead, sleek, tech-infused, with binary code streaming continuously.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "num_inference_steps": 25 }
Install Replicate’s Node.js client library:npm install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/ssd-1b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/ssd-1b:b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", { input: { seed: 36446545871, width: 768, height: 768, prompt: "NEONPUNK, A rogue hacker in her neon-lit lair, walls covered in digital code, prepping for a cyber heist, cold cyans clashing with electric oranges, 2D digital painting, intense and focused, screens projecting data maps, techy and modern, reminiscent of 'Ghost in the Shell', underground, high-stakes mission, centering the hacker, cables snaking around, mysterious, AI companions hovering, vector art, holo displays open, action-ready stance, by Syd Mead, sleek, tech-infused, with binary code streaming continuously.", scheduler: "K_EULER", num_outputs: 1, guidance_scale: 9, negative_prompt: "scary, cartoon, painting", num_inference_steps: 25 } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the client:import replicate
Run lucataco/ssd-1b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/ssd-1b:b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", input={ "seed": 36446545871, "width": 768, "height": 768, "prompt": "NEONPUNK, A rogue hacker in her neon-lit lair, walls covered in digital code, prepping for a cyber heist, cold cyans clashing with electric oranges, 2D digital painting, intense and focused, screens projecting data maps, techy and modern, reminiscent of 'Ghost in the Shell', underground, high-stakes mission, centering the hacker, cables snaking around, mysterious, AI companions hovering, vector art, holo displays open, action-ready stance, by Syd Mead, sleek, tech-infused, with binary code streaming continuously.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "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 variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run lucataco/ssd-1b 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": "b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", "input": { "seed": 36446545871, "width": 768, "height": 768, "prompt": "NEONPUNK, A rogue hacker in her neon-lit lair, walls covered in digital code, prepping for a cyber heist, cold cyans clashing with electric oranges, 2D digital painting, intense and focused, screens projecting data maps, techy and modern, reminiscent of \'Ghost in the Shell\', underground, high-stakes mission, centering the hacker, cables snaking around, mysterious, AI companions hovering, vector art, holo displays open, action-ready stance, by Syd Mead, sleek, tech-infused, with binary code streaming continuously.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "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": "2023-10-25T01:16:16.856600Z", "created_at": "2023-10-25T01:16:13.322635Z", "data_removed": false, "error": null, "id": "lbx2nbdbpkv6ryio7wnng2yfjq", "input": { "seed": 36446545871, "width": 768, "height": 768, "prompt": "NEONPUNK, A rogue hacker in her neon-lit lair, walls covered in digital code, prepping for a cyber heist, cold cyans clashing with electric oranges, 2D digital painting, intense and focused, screens projecting data maps, techy and modern, reminiscent of 'Ghost in the Shell', underground, high-stakes mission, centering the hacker, cables snaking around, mysterious, AI companions hovering, vector art, holo displays open, action-ready stance, by Syd Mead, sleek, tech-infused, with binary code streaming continuously.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "num_inference_steps": 25 }, "logs": "Using seed: 36446545871\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['snaking around, mysterious, ai companions hovering, vector art, holo displays open, action - ready stance, by syd mead, sleek, tech - infused, with binary code streaming continuously.']\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['snaking around, mysterious, ai companions hovering, vector art, holo displays open, action - ready stance, by syd mead, sleek, tech - infused, with binary code streaming continuously.']\n 0%| | 0/25 [00:00<?, ?it/s]\n 8%|▊ | 2/25 [00:00<00:01, 12.71it/s]\n 16%|█▌ | 4/25 [00:00<00:01, 12.61it/s]\n 24%|██▍ | 6/25 [00:00<00:01, 12.61it/s]\n 32%|███▏ | 8/25 [00:00<00:01, 12.62it/s]\n 40%|████ | 10/25 [00:00<00:01, 12.62it/s]\n 48%|████▊ | 12/25 [00:00<00:01, 12.60it/s]\n 56%|█████▌ | 14/25 [00:01<00:00, 12.59it/s]\n 64%|██████▍ | 16/25 [00:01<00:00, 12.61it/s]\n 72%|███████▏ | 18/25 [00:01<00:00, 12.62it/s]\n 80%|████████ | 20/25 [00:01<00:00, 12.62it/s]\n 88%|████████▊ | 22/25 [00:01<00:00, 12.62it/s]\n 96%|█████████▌| 24/25 [00:01<00:00, 12.61it/s]\n100%|██████████| 25/25 [00:01<00:00, 12.61it/s]", "metrics": { "predict_time": 3.53962, "total_time": 3.533965 }, "output": [ "https://replicate.delivery/pbxt/hM7oIKNVWibYDFY6a8JUfZoz7aJbv8nSAg6eY8ar3jGg5hxRA/out-0.png" ], "started_at": "2023-10-25T01:16:13.316980Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/lbx2nbdbpkv6ryio7wnng2yfjq", "cancel": "https://api.replicate.com/v1/predictions/lbx2nbdbpkv6ryio7wnng2yfjq/cancel" }, "version": "1ee85ef681d5ad3d6870b9da1a4543cb3ad702d036fa5b5210f133b83b05a780" }
Generated inUsing seed: 36446545871 The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['snaking around, mysterious, ai companions hovering, vector art, holo displays open, action - ready stance, by syd mead, sleek, tech - infused, with binary code streaming continuously.'] The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['snaking around, mysterious, ai companions hovering, vector art, holo displays open, action - ready stance, by syd mead, sleek, tech - infused, with binary code streaming continuously.'] 0%| | 0/25 [00:00<?, ?it/s] 8%|▊ | 2/25 [00:00<00:01, 12.71it/s] 16%|█▌ | 4/25 [00:00<00:01, 12.61it/s] 24%|██▍ | 6/25 [00:00<00:01, 12.61it/s] 32%|███▏ | 8/25 [00:00<00:01, 12.62it/s] 40%|████ | 10/25 [00:00<00:01, 12.62it/s] 48%|████▊ | 12/25 [00:00<00:01, 12.60it/s] 56%|█████▌ | 14/25 [00:01<00:00, 12.59it/s] 64%|██████▍ | 16/25 [00:01<00:00, 12.61it/s] 72%|███████▏ | 18/25 [00:01<00:00, 12.62it/s] 80%|████████ | 20/25 [00:01<00:00, 12.62it/s] 88%|████████▊ | 22/25 [00:01<00:00, 12.62it/s] 96%|█████████▌| 24/25 [00:01<00:00, 12.61it/s] 100%|██████████| 25/25 [00:01<00:00, 12.61it/s]
Prediction
lucataco/ssd-1b:b19e3639ID7pk5jptbnnvmd6l3v4iegsiekeStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedby @lucatacoInput
- seed
- 36446545872
- width
- 768
- height
- 768
- prompt
- Medieval Castle, standing tall on a hill, surrounded by a moat, with banners flying and a drawbridge leading to it, evoking feelings of chivalry and bygone eras, designed in Low Poly style, with angular structures, flat color regions, and clear geometric definitions without intricate carvings.
- scheduler
- K_EULER
- num_outputs
- 1
- guidance_scale
- 9
- negative_prompt
- scary, cartoon, painting
- num_inference_steps
- 25
{ "seed": 36446545872, "width": 768, "height": 768, "prompt": "Medieval Castle, standing tall on a hill, surrounded by a moat, with banners flying and a drawbridge leading to it, evoking feelings of chivalry and bygone eras, designed in Low Poly style, with angular structures, flat color regions, and clear geometric definitions without intricate carvings.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "num_inference_steps": 25 }
Install Replicate’s Node.js client library:npm install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/ssd-1b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/ssd-1b:b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", { input: { seed: 36446545872, width: 768, height: 768, prompt: "Medieval Castle, standing tall on a hill, surrounded by a moat, with banners flying and a drawbridge leading to it, evoking feelings of chivalry and bygone eras, designed in Low Poly style, with angular structures, flat color regions, and clear geometric definitions without intricate carvings.", scheduler: "K_EULER", num_outputs: 1, guidance_scale: 9, negative_prompt: "scary, cartoon, painting", num_inference_steps: 25 } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the client:import replicate
Run lucataco/ssd-1b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/ssd-1b:b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", input={ "seed": 36446545872, "width": 768, "height": 768, "prompt": "Medieval Castle, standing tall on a hill, surrounded by a moat, with banners flying and a drawbridge leading to it, evoking feelings of chivalry and bygone eras, designed in Low Poly style, with angular structures, flat color regions, and clear geometric definitions without intricate carvings.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "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 variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run lucataco/ssd-1b 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": "b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", "input": { "seed": 36446545872, "width": 768, "height": 768, "prompt": "Medieval Castle, standing tall on a hill, surrounded by a moat, with banners flying and a drawbridge leading to it, evoking feelings of chivalry and bygone eras, designed in Low Poly style, with angular structures, flat color regions, and clear geometric definitions without intricate carvings.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "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": "2023-10-25T01:17:08.151350Z", "created_at": "2023-10-25T01:17:04.658714Z", "data_removed": false, "error": null, "id": "7pk5jptbnnvmd6l3v4iegsieke", "input": { "seed": 36446545872, "width": 768, "height": 768, "prompt": "Medieval Castle, standing tall on a hill, surrounded by a moat, with banners flying and a drawbridge leading to it, evoking feelings of chivalry and bygone eras, designed in Low Poly style, with angular structures, flat color regions, and clear geometric definitions without intricate carvings.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "num_inference_steps": 25 }, "logs": "Using seed: 36446545872\n 0%| | 0/25 [00:00<?, ?it/s]\n 8%|▊ | 2/25 [00:00<00:01, 12.76it/s]\n 16%|█▌ | 4/25 [00:00<00:01, 12.72it/s]\n 24%|██▍ | 6/25 [00:00<00:01, 12.71it/s]\n 32%|███▏ | 8/25 [00:00<00:01, 12.67it/s]\n 40%|████ | 10/25 [00:00<00:01, 12.65it/s]\n 48%|████▊ | 12/25 [00:00<00:01, 12.64it/s]\n 56%|█████▌ | 14/25 [00:01<00:00, 12.62it/s]\n 64%|██████▍ | 16/25 [00:01<00:00, 12.59it/s]\n 72%|███████▏ | 18/25 [00:01<00:00, 12.59it/s]\n 80%|████████ | 20/25 [00:01<00:00, 12.59it/s]\n 88%|████████▊ | 22/25 [00:01<00:00, 12.59it/s]\n 96%|█████████▌| 24/25 [00:01<00:00, 12.58it/s]\n100%|██████████| 25/25 [00:01<00:00, 12.61it/s]", "metrics": { "predict_time": 3.539516, "total_time": 3.492636 }, "output": [ "https://replicate.delivery/pbxt/aPdpZ8LGpBLOEh5yDYr2kMDE9t599ZD7z8aCldcdABzkew4IA/out-0.png" ], "started_at": "2023-10-25T01:17:04.611834Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/7pk5jptbnnvmd6l3v4iegsieke", "cancel": "https://api.replicate.com/v1/predictions/7pk5jptbnnvmd6l3v4iegsieke/cancel" }, "version": "1ee85ef681d5ad3d6870b9da1a4543cb3ad702d036fa5b5210f133b83b05a780" }
Generated inUsing seed: 36446545872 0%| | 0/25 [00:00<?, ?it/s] 8%|▊ | 2/25 [00:00<00:01, 12.76it/s] 16%|█▌ | 4/25 [00:00<00:01, 12.72it/s] 24%|██▍ | 6/25 [00:00<00:01, 12.71it/s] 32%|███▏ | 8/25 [00:00<00:01, 12.67it/s] 40%|████ | 10/25 [00:00<00:01, 12.65it/s] 48%|████▊ | 12/25 [00:00<00:01, 12.64it/s] 56%|█████▌ | 14/25 [00:01<00:00, 12.62it/s] 64%|██████▍ | 16/25 [00:01<00:00, 12.59it/s] 72%|███████▏ | 18/25 [00:01<00:00, 12.59it/s] 80%|████████ | 20/25 [00:01<00:00, 12.59it/s] 88%|████████▊ | 22/25 [00:01<00:00, 12.59it/s] 96%|█████████▌| 24/25 [00:01<00:00, 12.58it/s] 100%|██████████| 25/25 [00:01<00:00, 12.61it/s]
Prediction
lucataco/ssd-1b:b19e3639IDemvugclblirh7fegnuuorp6x4uStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedby @lucatacoInput
- seed
- 36446545872
- width
- 768
- height
- 768
- prompt
- WATERCOLOR, Flamenco dancer in mid-twirl, vivid reds and blacks of her attire, passion captured in her posture, warm oranges and yellows of stage lights, on high-quality watercolor paper, intense and dynamic, movement captured in swirling colors, inspired by Spanish traditions, energetic, ruffles of the dress given depth by color layering, spontaneous brushwork, with audience shadows hinted in background, dramatic, expressive, with splatters to emphasize the raw emotion.
- scheduler
- K_EULER
- num_outputs
- 1
- guidance_scale
- 9
- negative_prompt
- scary, cartoon, painting
- num_inference_steps
- 25
{ "seed": 36446545872, "width": 768, "height": 768, "prompt": "WATERCOLOR, Flamenco dancer in mid-twirl, vivid reds and blacks of her attire, passion captured in her posture, warm oranges and yellows of stage lights, on high-quality watercolor paper, intense and dynamic, movement captured in swirling colors, inspired by Spanish traditions, energetic, ruffles of the dress given depth by color layering, spontaneous brushwork, with audience shadows hinted in background, dramatic, expressive, with splatters to emphasize the raw emotion.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "num_inference_steps": 25 }
Install Replicate’s Node.js client library:npm install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/ssd-1b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/ssd-1b:b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", { input: { seed: 36446545872, width: 768, height: 768, prompt: "WATERCOLOR, Flamenco dancer in mid-twirl, vivid reds and blacks of her attire, passion captured in her posture, warm oranges and yellows of stage lights, on high-quality watercolor paper, intense and dynamic, movement captured in swirling colors, inspired by Spanish traditions, energetic, ruffles of the dress given depth by color layering, spontaneous brushwork, with audience shadows hinted in background, dramatic, expressive, with splatters to emphasize the raw emotion.", scheduler: "K_EULER", num_outputs: 1, guidance_scale: 9, negative_prompt: "scary, cartoon, painting", num_inference_steps: 25 } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the client:import replicate
Run lucataco/ssd-1b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/ssd-1b:b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", input={ "seed": 36446545872, "width": 768, "height": 768, "prompt": "WATERCOLOR, Flamenco dancer in mid-twirl, vivid reds and blacks of her attire, passion captured in her posture, warm oranges and yellows of stage lights, on high-quality watercolor paper, intense and dynamic, movement captured in swirling colors, inspired by Spanish traditions, energetic, ruffles of the dress given depth by color layering, spontaneous brushwork, with audience shadows hinted in background, dramatic, expressive, with splatters to emphasize the raw emotion.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "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 variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run lucataco/ssd-1b 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": "b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", "input": { "seed": 36446545872, "width": 768, "height": 768, "prompt": "WATERCOLOR, Flamenco dancer in mid-twirl, vivid reds and blacks of her attire, passion captured in her posture, warm oranges and yellows of stage lights, on high-quality watercolor paper, intense and dynamic, movement captured in swirling colors, inspired by Spanish traditions, energetic, ruffles of the dress given depth by color layering, spontaneous brushwork, with audience shadows hinted in background, dramatic, expressive, with splatters to emphasize the raw emotion.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "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": "2023-10-25T01:17:35.934998Z", "created_at": "2023-10-25T01:17:32.411211Z", "data_removed": false, "error": null, "id": "emvugclblirh7fegnuuorp6x4u", "input": { "seed": 36446545872, "width": 768, "height": 768, "prompt": "WATERCOLOR, Flamenco dancer in mid-twirl, vivid reds and blacks of her attire, passion captured in her posture, warm oranges and yellows of stage lights, on high-quality watercolor paper, intense and dynamic, movement captured in swirling colors, inspired by Spanish traditions, energetic, ruffles of the dress given depth by color layering, spontaneous brushwork, with audience shadows hinted in background, dramatic, expressive, with splatters to emphasize the raw emotion.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "num_inference_steps": 25 }, "logs": "Using seed: 36446545872\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['audience shadows hinted in background, dramatic, expressive, with splatters to emphasize the raw emotion.']\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['audience shadows hinted in background, dramatic, expressive, with splatters to emphasize the raw emotion.']\n 0%| | 0/25 [00:00<?, ?it/s]\n 8%|▊ | 2/25 [00:00<00:01, 12.74it/s]\n 16%|█▌ | 4/25 [00:00<00:01, 12.68it/s]\n 24%|██▍ | 6/25 [00:00<00:01, 12.62it/s]\n 32%|███▏ | 8/25 [00:00<00:01, 12.62it/s]\n 40%|████ | 10/25 [00:00<00:01, 12.62it/s]\n 48%|████▊ | 12/25 [00:00<00:01, 12.57it/s]\n 56%|█████▌ | 14/25 [00:01<00:00, 12.57it/s]\n 64%|██████▍ | 16/25 [00:01<00:00, 12.58it/s]\n 72%|███████▏ | 18/25 [00:01<00:00, 12.58it/s]\n 80%|████████ | 20/25 [00:01<00:00, 12.59it/s]\n 88%|████████▊ | 22/25 [00:01<00:00, 12.61it/s]\n 96%|█████████▌| 24/25 [00:01<00:00, 12.61it/s]\n100%|██████████| 25/25 [00:01<00:00, 12.60it/s]", "metrics": { "predict_time": 3.536099, "total_time": 3.523787 }, "output": [ "https://replicate.delivery/pbxt/l5f9JsytFzQtI66l0iXMOUPVvAvuZJkXHAr0fxbVVl5v6hxRA/out-0.png" ], "started_at": "2023-10-25T01:17:32.398899Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/emvugclblirh7fegnuuorp6x4u", "cancel": "https://api.replicate.com/v1/predictions/emvugclblirh7fegnuuorp6x4u/cancel" }, "version": "1ee85ef681d5ad3d6870b9da1a4543cb3ad702d036fa5b5210f133b83b05a780" }
Generated inUsing seed: 36446545872 The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['audience shadows hinted in background, dramatic, expressive, with splatters to emphasize the raw emotion.'] The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['audience shadows hinted in background, dramatic, expressive, with splatters to emphasize the raw emotion.'] 0%| | 0/25 [00:00<?, ?it/s] 8%|▊ | 2/25 [00:00<00:01, 12.74it/s] 16%|█▌ | 4/25 [00:00<00:01, 12.68it/s] 24%|██▍ | 6/25 [00:00<00:01, 12.62it/s] 32%|███▏ | 8/25 [00:00<00:01, 12.62it/s] 40%|████ | 10/25 [00:00<00:01, 12.62it/s] 48%|████▊ | 12/25 [00:00<00:01, 12.57it/s] 56%|█████▌ | 14/25 [00:01<00:00, 12.57it/s] 64%|██████▍ | 16/25 [00:01<00:00, 12.58it/s] 72%|███████▏ | 18/25 [00:01<00:00, 12.58it/s] 80%|████████ | 20/25 [00:01<00:00, 12.59it/s] 88%|████████▊ | 22/25 [00:01<00:00, 12.61it/s] 96%|█████████▌| 24/25 [00:01<00:00, 12.61it/s] 100%|██████████| 25/25 [00:01<00:00, 12.60it/s]
Prediction
lucataco/ssd-1b:b19e3639ID2db3uz3ba427yqkwnkmvon2uteStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedby @lucatacoInput
- seed
- 36446545872
- width
- 768
- height
- 768
- prompt
- LINE ART, An elegant woman in a 1920s flapper dress, pearls, and a feathered headband, capturing the Roaring Twenties, sleek black lines on a champagne paper, 2D sketched, stylish and ornate, jazz club in the backdrop, lively and decadent, reminiscent of Art Deco, chic, the Jazz Age embodied, detailed depiction of sequins and fringes, ornate backdrop, figure in a dynamic pose, emphasis on fashion, intricate, celebratory, golden age, graphic, precision in detailing, gleaming chandeliers above.
- scheduler
- K_EULER
- num_outputs
- 1
- guidance_scale
- 9
- negative_prompt
- scary, cartoon, painting
- num_inference_steps
- 25
{ "seed": 36446545872, "width": 768, "height": 768, "prompt": "LINE ART, An elegant woman in a 1920s flapper dress, pearls, and a feathered headband, capturing the Roaring Twenties, sleek black lines on a champagne paper, 2D sketched, stylish and ornate, jazz club in the backdrop, lively and decadent, reminiscent of Art Deco, chic, the Jazz Age embodied, detailed depiction of sequins and fringes, ornate backdrop, figure in a dynamic pose, emphasis on fashion, intricate, celebratory, golden age, graphic, precision in detailing, gleaming chandeliers above.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "num_inference_steps": 25 }
Install Replicate’s Node.js client library:npm install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/ssd-1b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/ssd-1b:b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", { input: { seed: 36446545872, width: 768, height: 768, prompt: "LINE ART, An elegant woman in a 1920s flapper dress, pearls, and a feathered headband, capturing the Roaring Twenties, sleek black lines on a champagne paper, 2D sketched, stylish and ornate, jazz club in the backdrop, lively and decadent, reminiscent of Art Deco, chic, the Jazz Age embodied, detailed depiction of sequins and fringes, ornate backdrop, figure in a dynamic pose, emphasis on fashion, intricate, celebratory, golden age, graphic, precision in detailing, gleaming chandeliers above.", scheduler: "K_EULER", num_outputs: 1, guidance_scale: 9, negative_prompt: "scary, cartoon, painting", num_inference_steps: 25 } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the client:import replicate
Run lucataco/ssd-1b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/ssd-1b:b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", input={ "seed": 36446545872, "width": 768, "height": 768, "prompt": "LINE ART, An elegant woman in a 1920s flapper dress, pearls, and a feathered headband, capturing the Roaring Twenties, sleek black lines on a champagne paper, 2D sketched, stylish and ornate, jazz club in the backdrop, lively and decadent, reminiscent of Art Deco, chic, the Jazz Age embodied, detailed depiction of sequins and fringes, ornate backdrop, figure in a dynamic pose, emphasis on fashion, intricate, celebratory, golden age, graphic, precision in detailing, gleaming chandeliers above.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "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 variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run lucataco/ssd-1b 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": "b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", "input": { "seed": 36446545872, "width": 768, "height": 768, "prompt": "LINE ART, An elegant woman in a 1920s flapper dress, pearls, and a feathered headband, capturing the Roaring Twenties, sleek black lines on a champagne paper, 2D sketched, stylish and ornate, jazz club in the backdrop, lively and decadent, reminiscent of Art Deco, chic, the Jazz Age embodied, detailed depiction of sequins and fringes, ornate backdrop, figure in a dynamic pose, emphasis on fashion, intricate, celebratory, golden age, graphic, precision in detailing, gleaming chandeliers above.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "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": "2023-10-25T01:17:58.223007Z", "created_at": "2023-10-25T01:17:54.754413Z", "data_removed": false, "error": null, "id": "2db3uz3ba427yqkwnkmvon2ute", "input": { "seed": 36446545872, "width": 768, "height": 768, "prompt": "LINE ART, An elegant woman in a 1920s flapper dress, pearls, and a feathered headband, capturing the Roaring Twenties, sleek black lines on a champagne paper, 2D sketched, stylish and ornate, jazz club in the backdrop, lively and decadent, reminiscent of Art Deco, chic, the Jazz Age embodied, detailed depiction of sequins and fringes, ornate backdrop, figure in a dynamic pose, emphasis on fashion, intricate, celebratory, golden age, graphic, precision in detailing, gleaming chandeliers above.", "scheduler": "K_EULER", "num_outputs": 1, "guidance_scale": 9, "negative_prompt": "scary, cartoon, painting", "num_inference_steps": 25 }, "logs": "Using seed: 36446545872\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['and fringes, ornate backdrop, figure in a dynamic pose, emphasis on fashion, intricate, celebratory, golden age, graphic, precision in detailing, gleaming chandeliers above.']\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['and fringes, ornate backdrop, figure in a dynamic pose, emphasis on fashion, intricate, celebratory, golden age, graphic, precision in detailing, gleaming chandeliers above.']\n 0%| | 0/25 [00:00<?, ?it/s]\n 8%|▊ | 2/25 [00:00<00:01, 12.75it/s]\n 16%|█▌ | 4/25 [00:00<00:01, 12.70it/s]\n 24%|██▍ | 6/25 [00:00<00:01, 12.66it/s]\n 32%|███▏ | 8/25 [00:00<00:01, 12.66it/s]\n 40%|████ | 10/25 [00:00<00:01, 12.66it/s]\n 48%|████▊ | 12/25 [00:00<00:01, 12.65it/s]\n 56%|█████▌ | 14/25 [00:01<00:00, 12.65it/s]\n 64%|██████▍ | 16/25 [00:01<00:00, 12.64it/s]\n 72%|███████▏ | 18/25 [00:01<00:00, 12.64it/s]\n 80%|████████ | 20/25 [00:01<00:00, 12.63it/s]\n 88%|████████▊ | 22/25 [00:01<00:00, 12.62it/s]\n 96%|█████████▌| 24/25 [00:01<00:00, 12.61it/s]\n100%|██████████| 25/25 [00:01<00:00, 12.64it/s]", "metrics": { "predict_time": 3.50944, "total_time": 3.468594 }, "output": [ "https://replicate.delivery/pbxt/RpyFfFbZkQ1lLCdOOiMeDpFw7gb93aOAPgooFAfNEQlK2DjjA/out-0.png" ], "started_at": "2023-10-25T01:17:54.713567Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/2db3uz3ba427yqkwnkmvon2ute", "cancel": "https://api.replicate.com/v1/predictions/2db3uz3ba427yqkwnkmvon2ute/cancel" }, "version": "1ee85ef681d5ad3d6870b9da1a4543cb3ad702d036fa5b5210f133b83b05a780" }
Generated inUsing seed: 36446545872 The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['and fringes, ornate backdrop, figure in a dynamic pose, emphasis on fashion, intricate, celebratory, golden age, graphic, precision in detailing, gleaming chandeliers above.'] The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['and fringes, ornate backdrop, figure in a dynamic pose, emphasis on fashion, intricate, celebratory, golden age, graphic, precision in detailing, gleaming chandeliers above.'] 0%| | 0/25 [00:00<?, ?it/s] 8%|▊ | 2/25 [00:00<00:01, 12.75it/s] 16%|█▌ | 4/25 [00:00<00:01, 12.70it/s] 24%|██▍ | 6/25 [00:00<00:01, 12.66it/s] 32%|███▏ | 8/25 [00:00<00:01, 12.66it/s] 40%|████ | 10/25 [00:00<00:01, 12.66it/s] 48%|████▊ | 12/25 [00:00<00:01, 12.65it/s] 56%|█████▌ | 14/25 [00:01<00:00, 12.65it/s] 64%|██████▍ | 16/25 [00:01<00:00, 12.64it/s] 72%|███████▏ | 18/25 [00:01<00:00, 12.64it/s] 80%|████████ | 20/25 [00:01<00:00, 12.63it/s] 88%|████████▊ | 22/25 [00:01<00:00, 12.62it/s] 96%|█████████▌| 24/25 [00:01<00:00, 12.61it/s] 100%|██████████| 25/25 [00:01<00:00, 12.64it/s]
Prediction
lucataco/ssd-1b:b19e3639IDycn3tglbb5gno2pky2kaspk6nuStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- seed
- 21272
- width
- 768
- height
- 768
- prompt
- a wolf with pink and blue fur
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 9
- apply_watermark
- negative_prompt
- scary, cartoon, painting
- prompt_strength
- 0.8
- num_inference_steps
- 10
{ "seed": 21272, "image": "https://replicate.delivery/pbxt/JpxOcIg2E7074jNAfhM4lklgDaSXN9gQuCxXo1YYTLgiSMEX/wolf.png", "width": 768, "height": 768, "prompt": "a wolf with pink and blue fur", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 9, "apply_watermark": true, "negative_prompt": "scary, cartoon, painting", "prompt_strength": 0.8, "num_inference_steps": 10 }
Install Replicate’s Node.js client library:npm install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/ssd-1b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/ssd-1b:b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", { input: { seed: 21272, image: "https://replicate.delivery/pbxt/JpxOcIg2E7074jNAfhM4lklgDaSXN9gQuCxXo1YYTLgiSMEX/wolf.png", width: 768, height: 768, prompt: "a wolf with pink and blue fur", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 9, apply_watermark: true, negative_prompt: "scary, cartoon, painting", prompt_strength: 0.8, num_inference_steps: 10 } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the client:import replicate
Run lucataco/ssd-1b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/ssd-1b:b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", input={ "seed": 21272, "image": "https://replicate.delivery/pbxt/JpxOcIg2E7074jNAfhM4lklgDaSXN9gQuCxXo1YYTLgiSMEX/wolf.png", "width": 768, "height": 768, "prompt": "a wolf with pink and blue fur", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 9, "apply_watermark": True, "negative_prompt": "scary, cartoon, painting", "prompt_strength": 0.8, "num_inference_steps": 10 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run lucataco/ssd-1b 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": "b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", "input": { "seed": 21272, "image": "https://replicate.delivery/pbxt/JpxOcIg2E7074jNAfhM4lklgDaSXN9gQuCxXo1YYTLgiSMEX/wolf.png", "width": 768, "height": 768, "prompt": "a wolf with pink and blue fur", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 9, "apply_watermark": true, "negative_prompt": "scary, cartoon, painting", "prompt_strength": 0.8, "num_inference_steps": 10 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-11-07T19:12:48.855040Z", "created_at": "2023-11-07T19:12:44.162206Z", "data_removed": false, "error": null, "id": "ycn3tglbb5gno2pky2kaspk6nu", "input": { "seed": 21272, "image": "https://replicate.delivery/pbxt/JpxOcIg2E7074jNAfhM4lklgDaSXN9gQuCxXo1YYTLgiSMEX/wolf.png", "width": 768, "height": 768, "prompt": "a wolf with pink and blue fur", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 9, "apply_watermark": true, "negative_prompt": "scary, cartoon, painting", "prompt_strength": 0.8, "num_inference_steps": 10 }, "logs": "Using seed: 21272\nPrompt: a wolf with pink and blue fur\nimg2img mode\n 0%| | 0/8 [00:00<?, ?it/s]\n 12%|█▎ | 1/8 [00:00<00:00, 7.81it/s]\n 50%|█████ | 4/8 [00:00<00:00, 16.42it/s]\n 88%|████████▊ | 7/8 [00:00<00:00, 19.21it/s]\n100%|██████████| 8/8 [00:00<00:00, 18.11it/s]", "metrics": { "predict_time": 2.828257, "total_time": 4.692834 }, "output": [ "https://replicate.delivery/pbxt/eK2LWTTri0VBCSpBjLjyDNGVscNsT4wIwuxpl8GOe47w4D2RA/out-0.png" ], "started_at": "2023-11-07T19:12:46.026783Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ycn3tglbb5gno2pky2kaspk6nu", "cancel": "https://api.replicate.com/v1/predictions/ycn3tglbb5gno2pky2kaspk6nu/cancel" }, "version": "a319a16a64fccf5dbe4c973e6151338b44da7b14c802a75c3a1aeee4b2825fe4" }
Generated inUsing seed: 21272 Prompt: a wolf with pink and blue fur img2img mode 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:00, 7.81it/s] 50%|█████ | 4/8 [00:00<00:00, 16.42it/s] 88%|████████▊ | 7/8 [00:00<00:00, 19.21it/s] 100%|██████████| 8/8 [00:00<00:00, 18.11it/s]
Prediction
lucataco/ssd-1b:b19e3639ID3oqzobtbfvaxfsocvlpd6h3x6uStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- seed
- 36446545872
- width
- 768
- height
- 768
- prompt
- Wolf, paper, pointed ears, curled tail, sly expression with sharp folded eyes. Bear, paper, pointed ears, curled tail, sly expression with sharp folded eyes.
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- batched_prompt
- guidance_scale
- 9
- apply_watermark
- negative_prompt
- scary, cartoon, painting
- prompt_strength
- 0.8
- num_inference_steps
- 25
{ "seed": 36446545872, "width": 768, "height": 768, "prompt": "Wolf, paper, pointed ears, curled tail, sly expression with sharp folded eyes.\nBear, paper, pointed ears, curled tail, sly expression with sharp folded eyes.", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "batched_prompt": true, "guidance_scale": 9, "apply_watermark": true, "negative_prompt": "scary, cartoon, painting", "prompt_strength": 0.8, "num_inference_steps": 25 }
Install Replicate’s Node.js client library:npm install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/ssd-1b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/ssd-1b:b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", { input: { seed: 36446545872, width: 768, height: 768, prompt: "Wolf, paper, pointed ears, curled tail, sly expression with sharp folded eyes.\nBear, paper, pointed ears, curled tail, sly expression with sharp folded eyes.", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, batched_prompt: true, guidance_scale: 9, apply_watermark: true, negative_prompt: "scary, cartoon, painting", 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.
Install Replicate’s Python client library:pip install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the client:import replicate
Run lucataco/ssd-1b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/ssd-1b:b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", input={ "seed": 36446545872, "width": 768, "height": 768, "prompt": "Wolf, paper, pointed ears, curled tail, sly expression with sharp folded eyes.\nBear, paper, pointed ears, curled tail, sly expression with sharp folded eyes.", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "batched_prompt": True, "guidance_scale": 9, "apply_watermark": True, "negative_prompt": "scary, cartoon, painting", "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 variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run lucataco/ssd-1b 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": "b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", "input": { "seed": 36446545872, "width": 768, "height": 768, "prompt": "Wolf, paper, pointed ears, curled tail, sly expression with sharp folded eyes.\\nBear, paper, pointed ears, curled tail, sly expression with sharp folded eyes.", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "batched_prompt": true, "guidance_scale": 9, "apply_watermark": true, "negative_prompt": "scary, cartoon, painting", "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": "2023-11-08T20:25:02.911560Z", "created_at": "2023-11-08T20:24:29.540235Z", "data_removed": false, "error": null, "id": "3oqzobtbfvaxfsocvlpd6h3x6u", "input": { "seed": 36446545872, "width": 768, "height": 768, "prompt": "Wolf, paper, pointed ears, curled tail, sly expression with sharp folded eyes.\nBear, paper, pointed ears, curled tail, sly expression with sharp folded eyes.", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "batched_prompt": true, "guidance_scale": 9, "apply_watermark": true, "negative_prompt": "scary, cartoon, painting", "prompt_strength": 0.8, "num_inference_steps": 25 }, "logs": "Using seed: 36446545872\nPrompt: Wolf, paper, pointed ears, curled tail, sly expression with sharp folded eyes.\nBear, paper, pointed ears, curled tail, sly expression with sharp folded eyes.\ntxt2img mode\nBatch of prompts mode\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:00<00:19, 1.24it/s]\n 12%|█▏ | 3/25 [00:00<00:05, 3.78it/s]\n 20%|██ | 5/25 [00:01<00:03, 5.98it/s]\n 28%|██▊ | 7/25 [00:01<00:02, 7.79it/s]\n 36%|███▌ | 9/25 [00:01<00:01, 9.23it/s]\n 44%|████▍ | 11/25 [00:01<00:01, 10.33it/s]\n 52%|█████▏ | 13/25 [00:01<00:01, 11.15it/s]\n 60%|██████ | 15/25 [00:01<00:00, 11.75it/s]\n 68%|██████▊ | 17/25 [00:02<00:00, 12.18it/s]\n 76%|███████▌ | 19/25 [00:02<00:00, 12.50it/s]\n 84%|████████▍ | 21/25 [00:02<00:00, 12.72it/s]\n 92%|█████████▏| 23/25 [00:02<00:00, 12.87it/s]\n100%|██████████| 25/25 [00:02<00:00, 12.96it/s]\n100%|██████████| 25/25 [00:02<00:00, 9.56it/s]", "metrics": { "predict_time": 4.875871, "total_time": 33.371325 }, "output": [ "https://replicate.delivery/pbxt/lNOjcOQuyUJgNNFzAYwmiw9wFUtQr4WPixtdf8iGtPaPBN7IA/out-0.png", "https://replicate.delivery/pbxt/3fFKY3MYTIW5eUKEAhgdDP9KrpcBIUokd1ZijW0t7dMeE0sjA/out-1.png" ], "started_at": "2023-11-08T20:24:58.035689Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/3oqzobtbfvaxfsocvlpd6h3x6u", "cancel": "https://api.replicate.com/v1/predictions/3oqzobtbfvaxfsocvlpd6h3x6u/cancel" }, "version": "b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6" }
Generated inUsing seed: 36446545872 Prompt: Wolf, paper, pointed ears, curled tail, sly expression with sharp folded eyes. Bear, paper, pointed ears, curled tail, sly expression with sharp folded eyes. txt2img mode Batch of prompts mode 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:19, 1.24it/s] 12%|█▏ | 3/25 [00:00<00:05, 3.78it/s] 20%|██ | 5/25 [00:01<00:03, 5.98it/s] 28%|██▊ | 7/25 [00:01<00:02, 7.79it/s] 36%|███▌ | 9/25 [00:01<00:01, 9.23it/s] 44%|████▍ | 11/25 [00:01<00:01, 10.33it/s] 52%|█████▏ | 13/25 [00:01<00:01, 11.15it/s] 60%|██████ | 15/25 [00:01<00:00, 11.75it/s] 68%|██████▊ | 17/25 [00:02<00:00, 12.18it/s] 76%|███████▌ | 19/25 [00:02<00:00, 12.50it/s] 84%|████████▍ | 21/25 [00:02<00:00, 12.72it/s] 92%|█████████▏| 23/25 [00:02<00:00, 12.87it/s] 100%|██████████| 25/25 [00:02<00:00, 12.96it/s] 100%|██████████| 25/25 [00:02<00:00, 9.56it/s]
Prediction
lucataco/ssd-1b:b19e3639ID7n0h7128fdrma0ckkq6rphkkn4StatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- seed
- 36446545872
- width
- 768
- height
- 768
- prompt
- with smoke, half ice and half fire and ultra realistic in detail.wolf, typography, dark fantasy, wildlife photography, vibrant, cinematic and on a black background
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- batched_prompt
- guidance_scale
- 9
- apply_watermark
- negative_prompt
- scary, cartoon, painting
- prompt_strength
- 0.8
- num_inference_steps
- 25
{ "seed": 36446545872, "width": 768, "height": 768, "prompt": "with smoke, half ice and half fire and ultra realistic in detail.wolf, typography, dark fantasy, wildlife photography, vibrant, cinematic and on a black background", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "batched_prompt": false, "guidance_scale": 9, "apply_watermark": true, "negative_prompt": "scary, cartoon, painting", "prompt_strength": 0.8, "num_inference_steps": 25 }
Install Replicate’s Node.js client library:npm install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/ssd-1b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/ssd-1b:b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", { input: { seed: 36446545872, width: 768, height: 768, prompt: "with smoke, half ice and half fire and ultra realistic in detail.wolf, typography, dark fantasy, wildlife photography, vibrant, cinematic and on a black background", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, batched_prompt: false, guidance_scale: 9, apply_watermark: true, negative_prompt: "scary, cartoon, painting", 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.
Install Replicate’s Python client library:pip install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the client:import replicate
Run lucataco/ssd-1b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/ssd-1b:b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", input={ "seed": 36446545872, "width": 768, "height": 768, "prompt": "with smoke, half ice and half fire and ultra realistic in detail.wolf, typography, dark fantasy, wildlife photography, vibrant, cinematic and on a black background", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "batched_prompt": False, "guidance_scale": 9, "apply_watermark": True, "negative_prompt": "scary, cartoon, painting", "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 variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run lucataco/ssd-1b 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": "b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6", "input": { "seed": 36446545872, "width": 768, "height": 768, "prompt": "with smoke, half ice and half fire and ultra realistic in detail.wolf, typography, dark fantasy, wildlife photography, vibrant, cinematic and on a black background", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "batched_prompt": false, "guidance_scale": 9, "apply_watermark": true, "negative_prompt": "scary, cartoon, painting", "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": "2024-12-06T21:08:18.042372Z", "created_at": "2024-12-06T21:08:16.635000Z", "data_removed": false, "error": null, "id": "7n0h7128fdrma0ckkq6rphkkn4", "input": { "seed": 36446545872, "width": 768, "height": 768, "prompt": "with smoke, half ice and half fire and ultra realistic in detail.wolf, typography, dark fantasy, wildlife photography, vibrant, cinematic and on a black background", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "batched_prompt": false, "guidance_scale": 9, "apply_watermark": true, "negative_prompt": "scary, cartoon, painting", "prompt_strength": 0.8, "num_inference_steps": 25 }, "logs": "Using seed: 36446545872\nPrompt: with smoke, half ice and half fire and ultra realistic in detail.wolf, typography, dark fantasy, wildlife photography, vibrant, cinematic and on a black background\ntxt2img mode\n 0%| | 0/25 [00:00<?, ?it/s]\n 8%|▊ | 2/25 [00:00<00:01, 17.04it/s]\n 20%|██ | 5/25 [00:00<00:00, 22.00it/s]\n 32%|███▏ | 8/25 [00:00<00:00, 23.40it/s]\n 44%|████▍ | 11/25 [00:00<00:00, 24.11it/s]\n 56%|█████▌ | 14/25 [00:00<00:00, 24.51it/s]\n 68%|██████▊ | 17/25 [00:00<00:00, 24.73it/s]\n 80%|████████ | 20/25 [00:00<00:00, 24.86it/s]\n 92%|█████████▏| 23/25 [00:00<00:00, 24.92it/s]\n100%|██████████| 25/25 [00:01<00:00, 24.23it/s]", "metrics": { "predict_time": 1.398281685, "total_time": 1.407372 }, "output": [ "https://replicate.delivery/xezq/22omflc90SUAI6J8R2tioVJYeDq1oYO8XrDYrUYzeF8FOjwnA/out-0.png" ], "started_at": "2024-12-06T21:08:16.644090Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-ap226x5vfp2teztlqgnawxm5e3nhg5breye7rkwsfxb7aoflzhta", "get": "https://api.replicate.com/v1/predictions/7n0h7128fdrma0ckkq6rphkkn4", "cancel": "https://api.replicate.com/v1/predictions/7n0h7128fdrma0ckkq6rphkkn4/cancel" }, "version": "b19e3639452c59ce8295b82aba70a231404cb062f2eb580ea894b31e8ce5bbb6" }
Generated inUsing seed: 36446545872 Prompt: with smoke, half ice and half fire and ultra realistic in detail.wolf, typography, dark fantasy, wildlife photography, vibrant, cinematic and on a black background txt2img mode 0%| | 0/25 [00:00<?, ?it/s] 8%|▊ | 2/25 [00:00<00:01, 17.04it/s] 20%|██ | 5/25 [00:00<00:00, 22.00it/s] 32%|███▏ | 8/25 [00:00<00:00, 23.40it/s] 44%|████▍ | 11/25 [00:00<00:00, 24.11it/s] 56%|█████▌ | 14/25 [00:00<00:00, 24.51it/s] 68%|██████▊ | 17/25 [00:00<00:00, 24.73it/s] 80%|████████ | 20/25 [00:00<00:00, 24.86it/s] 92%|█████████▏| 23/25 [00:00<00:00, 24.92it/s] 100%|██████████| 25/25 [00:01<00:00, 24.23it/s]
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