fofr
/
sdxl-dots
- Public
- 208 runs
-
L40S
- SDXL fine-tune
Prediction
fofr/sdxl-dots:cc4b493dIDbhgua3dbna5zjrj3yrbjakvjcuStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- Black and yellow dots in the style of TOK
- refine
- expert_ensemble_refiner
- scheduler
- K_EULER
- lora_scale
- 0.4
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.9
- negative_prompt
- prompt_strength
- 0.8
- num_inference_steps
- 30
{ "width": 1024, "height": 1024, "prompt": "Black and yellow dots in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.4, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment 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 fofr/sdxl-dots using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/sdxl-dots:cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63", { input: { width: 1024, height: 1024, prompt: "Black and yellow dots in the style of TOK", refine: "expert_ensemble_refiner", scheduler: "K_EULER", lora_scale: 0.4, num_outputs: 1, guidance_scale: 7.5, apply_watermark: false, high_noise_frac: 0.9, negative_prompt: "", prompt_strength: 0.8, num_inference_steps: 30 } } ); 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 replicateSet theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:import replicateRun fofr/sdxl-dots using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/sdxl-dots:cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63", input={ "width": 1024, "height": 1024, "prompt": "Black and yellow dots in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.4, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": False, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run fofr/sdxl-dots 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": "cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63", "input": { "width": 1024, "height": 1024, "prompt": "Black and yellow dots in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.4, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-09-23T05:09:30.976958Z", "created_at": "2023-09-23T05:09:22.166239Z", "data_removed": false, "error": null, "id": "bhgua3dbna5zjrj3yrbjakvjcu", "input": { "width": 1024, "height": 1024, "prompt": "Black and yellow dots in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.4, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 }, "logs": null, "metrics": { "predict_time": 8.483236, "total_time": 8.810719 }, "output": [ "https://pbxt.replicate.delivery/hznSeBrVsmyaLSXjkffA15AWaBEQ0ifYrhPLhRddEOFoQJcGB/out-0.png" ], "started_at": "2023-09-23T05:09:22.493722Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/bhgua3dbna5zjrj3yrbjakvjcu", "cancel": "https://api.replicate.com/v1/predictions/bhgua3dbna5zjrj3yrbjakvjcu/cancel" }, "version": "cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63" }Generated inPrediction
fofr/sdxl-dots:cc4b493dID2ikkrqdbfuqaesbgkqq7a2b6eyStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- Watery blue and green dots in the style of TOK
- refine
- expert_ensemble_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.9
- negative_prompt
- prompt_strength
- 0.8
- num_inference_steps
- 30
{ "width": 1024, "height": 1024, "prompt": "Watery blue and green dots in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment 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 fofr/sdxl-dots using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/sdxl-dots:cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63", { input: { width: 1024, height: 1024, prompt: "Watery blue and green dots in the style of TOK", refine: "expert_ensemble_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: false, high_noise_frac: 0.9, negative_prompt: "", prompt_strength: 0.8, num_inference_steps: 30 } } ); 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 replicateSet theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:import replicateRun fofr/sdxl-dots using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/sdxl-dots:cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63", input={ "width": 1024, "height": 1024, "prompt": "Watery blue and green dots in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": False, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run fofr/sdxl-dots 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": "cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63", "input": { "width": 1024, "height": 1024, "prompt": "Watery blue and green dots in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-09-23T05:11:16.710791Z", "created_at": "2023-09-23T05:11:09.088895Z", "data_removed": false, "error": null, "id": "2ikkrqdbfuqaesbgkqq7a2b6ey", "input": { "width": 1024, "height": 1024, "prompt": "Watery blue and green dots in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 }, "logs": null, "metrics": { "predict_time": 7.708152, "total_time": 7.621896 }, "output": [ "https://pbxt.replicate.delivery/3lIAyUVqaWKbDdQJqfLqsMJezs1arTjOHSpbMyGsdepprEOjA/out-0.png" ], "started_at": "2023-09-23T05:11:09.002639Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/2ikkrqdbfuqaesbgkqq7a2b6ey", "cancel": "https://api.replicate.com/v1/predictions/2ikkrqdbfuqaesbgkqq7a2b6ey/cancel" }, "version": "cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63" }Generated inPrediction
fofr/sdxl-dots:cc4b493dID3hbnej3bnxraufcg7gwn2htxcmStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- Impasto mauve and gold dots in a river, in the style of TOK
- refine
- expert_ensemble_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.9
- negative_prompt
- prompt_strength
- 0.8
- num_inference_steps
- 30
{ "width": 1024, "height": 1024, "prompt": "Impasto mauve and gold dots in a river, in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment 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 fofr/sdxl-dots using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/sdxl-dots:cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63", { input: { width: 1024, height: 1024, prompt: "Impasto mauve and gold dots in a river, in the style of TOK", refine: "expert_ensemble_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: false, high_noise_frac: 0.9, negative_prompt: "", prompt_strength: 0.8, num_inference_steps: 30 } } ); 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 replicateSet theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:import replicateRun fofr/sdxl-dots using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/sdxl-dots:cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63", input={ "width": 1024, "height": 1024, "prompt": "Impasto mauve and gold dots in a river, in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": False, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run fofr/sdxl-dots 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": "cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63", "input": { "width": 1024, "height": 1024, "prompt": "Impasto mauve and gold dots in a river, in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-09-23T05:12:21.060921Z", "created_at": "2023-09-23T05:12:12.673438Z", "data_removed": false, "error": null, "id": "3hbnej3bnxraufcg7gwn2htxcm", "input": { "width": 1024, "height": 1024, "prompt": "Impasto mauve and gold dots in a river, in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 }, "logs": null, "metrics": { "predict_time": 7.718509, "total_time": 8.387483 }, "output": [ "https://pbxt.replicate.delivery/jJqyy1TgxWKVGRdMJdnu8ptkZ1lhwqzq1T7TVGdomtOtlwZE/out-0.png" ], "started_at": "2023-09-23T05:12:13.342412Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/3hbnej3bnxraufcg7gwn2htxcm", "cancel": "https://api.replicate.com/v1/predictions/3hbnej3bnxraufcg7gwn2htxcm/cancel" }, "version": "cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63" }Generated inPrediction
fofr/sdxl-dots:cc4b493dID5pequ73b4jn7mocusi3jdr2elyStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- beige and pink dots on a horse in the style of TOK
- refine
- expert_ensemble_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.9
- negative_prompt
- prompt_strength
- 0.8
- num_inference_steps
- 30
{ "width": 1024, "height": 1024, "prompt": "beige and pink dots on a horse in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment 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 fofr/sdxl-dots using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/sdxl-dots:cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63", { input: { width: 1024, height: 1024, prompt: "beige and pink dots on a horse in the style of TOK", refine: "expert_ensemble_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: false, high_noise_frac: 0.9, negative_prompt: "", prompt_strength: 0.8, num_inference_steps: 30 } } ); 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 replicateSet theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:import replicateRun fofr/sdxl-dots using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/sdxl-dots:cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63", input={ "width": 1024, "height": 1024, "prompt": "beige and pink dots on a horse in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": False, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run fofr/sdxl-dots 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": "cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63", "input": { "width": 1024, "height": 1024, "prompt": "beige and pink dots on a horse in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-09-23T05:16:25.838338Z", "created_at": "2023-09-23T05:16:16.607005Z", "data_removed": false, "error": null, "id": "5pequ73b4jn7mocusi3jdr2ely", "input": { "width": 1024, "height": 1024, "prompt": "beige and pink dots on a horse in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 }, "logs": null, "metrics": { "predict_time": 7.650054, "total_time": 9.231333 }, "output": [ "https://pbxt.replicate.delivery/5HUGXYVDU2oBOJGgNriG7hmsFS8WAT2sefOkNCFvRoFpaCnRA/out-0.png" ], "started_at": "2023-09-23T05:16:18.188284Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/5pequ73b4jn7mocusi3jdr2ely", "cancel": "https://api.replicate.com/v1/predictions/5pequ73b4jn7mocusi3jdr2ely/cancel" }, "version": "cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63" }Generated inPrediction
fofr/sdxl-dots:cc4b493dIDn3pvgndbi7owezw24xpqv24n4yStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- beige and pink dots on a horse in the style of TOK
- refine
- expert_ensemble_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.9
- negative_prompt
- prompt_strength
- 0.8
- num_inference_steps
- 30
{ "width": 1024, "height": 1024, "prompt": "beige and pink dots on a horse in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment 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 fofr/sdxl-dots using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/sdxl-dots:cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63", { input: { width: 1024, height: 1024, prompt: "beige and pink dots on a horse in the style of TOK", refine: "expert_ensemble_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: false, high_noise_frac: 0.9, negative_prompt: "", prompt_strength: 0.8, num_inference_steps: 30 } } ); 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 replicateSet theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:import replicateRun fofr/sdxl-dots using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/sdxl-dots:cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63", input={ "width": 1024, "height": 1024, "prompt": "beige and pink dots on a horse in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": False, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run fofr/sdxl-dots 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": "cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63", "input": { "width": 1024, "height": 1024, "prompt": "beige and pink dots on a horse in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-09-23T05:16:59.111291Z", "created_at": "2023-09-23T05:16:50.381781Z", "data_removed": false, "error": null, "id": "n3pvgndbi7owezw24xpqv24n4y", "input": { "width": 1024, "height": 1024, "prompt": "beige and pink dots on a horse in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 }, "logs": null, "metrics": { "predict_time": 7.642603, "total_time": 8.72951 }, "output": [ "https://pbxt.replicate.delivery/KfEHfPY3pfM5hoBVmu9sWLoD37LepuCyWYJAEKb16fWQZT4MC/out-0.png" ], "started_at": "2023-09-23T05:16:51.468688Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/n3pvgndbi7owezw24xpqv24n4y", "cancel": "https://api.replicate.com/v1/predictions/n3pvgndbi7owezw24xpqv24n4y/cancel" }, "version": "cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63" }Generated inPrediction
fofr/sdxl-dots:cc4b493dIDh5b45x3bhtulhf3lc6iq7hrvl4StatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- gold and silver dots on a face in the style of TOK
- refine
- expert_ensemble_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.9
- negative_prompt
- prompt_strength
- 0.8
- num_inference_steps
- 30
{ "width": 1024, "height": 1024, "prompt": "gold and silver dots on a face in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment 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 fofr/sdxl-dots using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/sdxl-dots:cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63", { input: { width: 1024, height: 1024, prompt: "gold and silver dots on a face in the style of TOK", refine: "expert_ensemble_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: false, high_noise_frac: 0.9, negative_prompt: "", prompt_strength: 0.8, num_inference_steps: 30 } } ); 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 replicateSet theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:import replicateRun fofr/sdxl-dots using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/sdxl-dots:cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63", input={ "width": 1024, "height": 1024, "prompt": "gold and silver dots on a face in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": False, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run fofr/sdxl-dots 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": "cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63", "input": { "width": 1024, "height": 1024, "prompt": "gold and silver dots on a face in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-09-23T05:19:51.447531Z", "created_at": "2023-09-23T05:19:42.809627Z", "data_removed": false, "error": null, "id": "h5b45x3bhtulhf3lc6iq7hrvl4", "input": { "width": 1024, "height": 1024, "prompt": "gold and silver dots on a face in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 }, "logs": null, "metrics": { "predict_time": 7.682035, "total_time": 8.637904 }, "output": [ "https://pbxt.replicate.delivery/cSRISXtkvp5eN68mrhTtFpx7zV0UMxokMIKd98fnSuu2dCnRA/out-0.png" ], "started_at": "2023-09-23T05:19:43.765496Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/h5b45x3bhtulhf3lc6iq7hrvl4", "cancel": "https://api.replicate.com/v1/predictions/h5b45x3bhtulhf3lc6iq7hrvl4/cancel" }, "version": "cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63" }Generated inPrediction
fofr/sdxl-dots:cc4b493dIDfkgj2h3besqn6zaqs67sskfgpiStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- Black and yellow stripes in the style of TOK
- refine
- expert_ensemble_refiner
- scheduler
- K_EULER
- lora_scale
- 0.4
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.9
- negative_prompt
- prompt_strength
- 0.8
- num_inference_steps
- 30
{ "width": 1024, "height": 1024, "prompt": "Black and yellow stripes in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.4, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment 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 fofr/sdxl-dots using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/sdxl-dots:cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63", { input: { width: 1024, height: 1024, prompt: "Black and yellow stripes in the style of TOK", refine: "expert_ensemble_refiner", scheduler: "K_EULER", lora_scale: 0.4, num_outputs: 1, guidance_scale: 7.5, apply_watermark: false, high_noise_frac: 0.9, negative_prompt: "", prompt_strength: 0.8, num_inference_steps: 30 } } ); 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 replicateSet theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:import replicateRun fofr/sdxl-dots using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/sdxl-dots:cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63", input={ "width": 1024, "height": 1024, "prompt": "Black and yellow stripes in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.4, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": False, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run fofr/sdxl-dots 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": "cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63", "input": { "width": 1024, "height": 1024, "prompt": "Black and yellow stripes in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.4, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-09-23T05:30:36.000827Z", "created_at": "2023-09-23T05:30:24.377434Z", "data_removed": false, "error": null, "id": "fkgj2h3besqn6zaqs67sskfgpi", "input": { "width": 1024, "height": 1024, "prompt": "Black and yellow stripes in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.4, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 }, "logs": null, "metrics": { "predict_time": 10.451251, "total_time": 11.623393 }, "output": [ "https://pbxt.replicate.delivery/5H2Hi5Mue4XWAqFIpgeTzSpjPRWsOlwm97In1rbR0KG7nCnRA/out-0.png" ], "started_at": "2023-09-23T05:30:25.549576Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/fkgj2h3besqn6zaqs67sskfgpi", "cancel": "https://api.replicate.com/v1/predictions/fkgj2h3besqn6zaqs67sskfgpi/cancel" }, "version": "cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63" }Generated inPrediction
fofr/sdxl-dots:cc4b493dID56er663b5p22dyvj2lhfftioiaStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- A photo of black and yellow splats in the style of TOK
- refine
- expert_ensemble_refiner
- scheduler
- K_EULER
- lora_scale
- 0.4
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.9
- negative_prompt
- prompt_strength
- 0.8
- num_inference_steps
- 30
{ "width": 1024, "height": 1024, "prompt": "A photo of black and yellow splats in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.4, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment 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 fofr/sdxl-dots using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/sdxl-dots:cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63", { input: { width: 1024, height: 1024, prompt: "A photo of black and yellow splats in the style of TOK", refine: "expert_ensemble_refiner", scheduler: "K_EULER", lora_scale: 0.4, num_outputs: 1, guidance_scale: 7.5, apply_watermark: false, high_noise_frac: 0.9, negative_prompt: "", prompt_strength: 0.8, num_inference_steps: 30 } } ); 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 replicateSet theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:import replicateRun fofr/sdxl-dots using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/sdxl-dots:cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63", input={ "width": 1024, "height": 1024, "prompt": "A photo of black and yellow splats in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.4, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": False, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run fofr/sdxl-dots 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": "cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63", "input": { "width": 1024, "height": 1024, "prompt": "A photo of black and yellow splats in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.4, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-09-23T05:32:17.660563Z", "created_at": "2023-09-23T05:32:09.291382Z", "data_removed": false, "error": null, "id": "56er663b5p22dyvj2lhfftioia", "input": { "width": 1024, "height": 1024, "prompt": "A photo of black and yellow splats in the style of TOK", "refine": "expert_ensemble_refiner", "scheduler": "K_EULER", "lora_scale": 0.4, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": false, "high_noise_frac": 0.9, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 30 }, "logs": null, "metrics": { "predict_time": 7.651843, "total_time": 8.369181 }, "output": [ "https://pbxt.replicate.delivery/prpigUnyVZJzAxwxlVhNWRSDd3fTrj3oAyHbx1F6N24wUhzIA/out-0.png" ], "started_at": "2023-09-23T05:32:10.008720Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/56er663b5p22dyvj2lhfftioia", "cancel": "https://api.replicate.com/v1/predictions/56er663b5p22dyvj2lhfftioia/cancel" }, "version": "cc4b493dd1989050f04aa575710dd39a0776682872da56a6c8edf30d2fdf8d63" }Generated in
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