black-forest-labs
/
flux-fill-dev
Open-weight inpainting model for editing and extending images. Guidance-distilled from FLUX.1 Fill [pro].
Prediction
black-forest-labs/flux-fill-devOfficial modelIDnbhx3kj26srm80ck9rwbscz1q0StatusSucceededSourceWebTotal durationCreatedInput
- prompt
- a spaceship
- guidance
- 30
- num_outputs
- 1
- output_format
- webp
- output_quality
- 80
- num_inference_steps
- 28
{ "mask": "https://replicate.delivery/pbxt/M0hxLu8a1YBcybWuumSsfoEec8ooer6JZ2fR28vuM1U0CN9m/74b40bb1-364a-461a-bec5-200a38c7bc87.png", "image": "https://replicate.delivery/pbxt/M0hxMJeO7wFCMr7QYNZsjRxzHhz6ntlLllMteRQNsRD7f3Nf/flux-fill-dev.webp", "prompt": "a spaceship", "guidance": 30, "num_outputs": 1, "output_format": "webp", "output_quality": 80, "num_inference_steps": 28 }
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 black-forest-labs/flux-fill-dev using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const input = { mask: "https://replicate.delivery/pbxt/M0hxLu8a1YBcybWuumSsfoEec8ooer6JZ2fR28vuM1U0CN9m/74b40bb1-364a-461a-bec5-200a38c7bc87.png", image: "https://replicate.delivery/pbxt/M0hxMJeO7wFCMr7QYNZsjRxzHhz6ntlLllMteRQNsRD7f3Nf/flux-fill-dev.webp", prompt: "a spaceship", guidance: 30, num_outputs: 1, output_format: "webp", output_quality: 80, num_inference_steps: 28 }; const output = await replicate.run("black-forest-labs/flux-fill-dev", { input }); 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 black-forest-labs/flux-fill-dev using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "black-forest-labs/flux-fill-dev", input={ "mask": "https://replicate.delivery/pbxt/M0hxLu8a1YBcybWuumSsfoEec8ooer6JZ2fR28vuM1U0CN9m/74b40bb1-364a-461a-bec5-200a38c7bc87.png", "image": "https://replicate.delivery/pbxt/M0hxMJeO7wFCMr7QYNZsjRxzHhz6ntlLllMteRQNsRD7f3Nf/flux-fill-dev.webp", "prompt": "a spaceship", "guidance": 30, "num_outputs": 1, "output_format": "webp", "output_quality": 80, "num_inference_steps": 28 } ) 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 black-forest-labs/flux-fill-dev 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 $'{ "input": { "mask": "https://replicate.delivery/pbxt/M0hxLu8a1YBcybWuumSsfoEec8ooer6JZ2fR28vuM1U0CN9m/74b40bb1-364a-461a-bec5-200a38c7bc87.png", "image": "https://replicate.delivery/pbxt/M0hxMJeO7wFCMr7QYNZsjRxzHhz6ntlLllMteRQNsRD7f3Nf/flux-fill-dev.webp", "prompt": "a spaceship", "guidance": 30, "num_outputs": 1, "output_format": "webp", "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/models/black-forest-labs/flux-fill-dev/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-11-21T10:15:39.656881Z", "created_at": "2024-11-21T10:15:30.102000Z", "data_removed": false, "error": null, "id": "nbhx3kj26srm80ck9rwbscz1q0", "input": { "mask": "https://replicate.delivery/pbxt/M0hxLu8a1YBcybWuumSsfoEec8ooer6JZ2fR28vuM1U0CN9m/74b40bb1-364a-461a-bec5-200a38c7bc87.png", "image": "https://replicate.delivery/pbxt/M0hxMJeO7wFCMr7QYNZsjRxzHhz6ntlLllMteRQNsRD7f3Nf/flux-fill-dev.webp", "prompt": "a spaceship", "guidance": 30, "num_outputs": 1, "output_format": "webp", "output_quality": 80, "num_inference_steps": 28 }, "logs": "running bf16 model, fp8 disabled\nUsing seed: 12554\nInput image size: 1024x1024\nInput image size set to: 1024x1024\n0it [00:00, ?it/s]\n1it [00:00, 6.43it/s]\n2it [00:00, 5.21it/s]\n3it [00:00, 4.91it/s]\n4it [00:00, 4.78it/s]\n5it [00:01, 4.71it/s]\n6it [00:01, 4.67it/s]\n7it [00:01, 4.63it/s]\n8it [00:01, 4.62it/s]\n9it [00:01, 4.61it/s]\n10it [00:02, 4.60it/s]\n11it [00:02, 4.60it/s]\n12it [00:02, 4.60it/s]\n13it [00:02, 4.59it/s]\n14it [00:02, 4.59it/s]\n15it [00:03, 4.59it/s]\n16it [00:03, 4.59it/s]\n17it [00:03, 4.58it/s]\n18it [00:03, 4.58it/s]\n19it [00:04, 4.57it/s]\n20it [00:04, 4.57it/s]\n21it [00:04, 4.57it/s]\n22it [00:04, 4.57it/s]\n23it [00:04, 4.57it/s]\n24it [00:05, 4.57it/s]\n25it [00:05, 4.58it/s]\n26it [00:05, 4.58it/s]\n27it [00:05, 4.58it/s]\n28it [00:06, 4.57it/s]\n28it [00:06, 4.63it/s]\nTotal safe images: 1 out of 1", "metrics": { "image_count": 1, "predict_time": 9.544116396, "total_time": 9.554881 }, "output": [ "https://replicate.delivery/xezq/XAOCdYKsGYZ9FNTeeEQPbl8DM9eoDf050jLfSAZMuWVYJdZeE/out-0.webp" ], "started_at": "2024-11-21T10:15:30.112765Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-ocdi6wafsezivgg6gtokmxu4rhvv4bhdhbx6vsomy7p2s5jxrq5q", "get": "https://api.replicate.com/v1/predictions/nbhx3kj26srm80ck9rwbscz1q0", "cancel": "https://api.replicate.com/v1/predictions/nbhx3kj26srm80ck9rwbscz1q0/cancel" }, "version": "hidden" }
Generated inrunning bf16 model, fp8 disabled Using seed: 12554 Input image size: 1024x1024 Input image size set to: 1024x1024 0it [00:00, ?it/s] 1it [00:00, 6.43it/s] 2it [00:00, 5.21it/s] 3it [00:00, 4.91it/s] 4it [00:00, 4.78it/s] 5it [00:01, 4.71it/s] 6it [00:01, 4.67it/s] 7it [00:01, 4.63it/s] 8it [00:01, 4.62it/s] 9it [00:01, 4.61it/s] 10it [00:02, 4.60it/s] 11it [00:02, 4.60it/s] 12it [00:02, 4.60it/s] 13it [00:02, 4.59it/s] 14it [00:02, 4.59it/s] 15it [00:03, 4.59it/s] 16it [00:03, 4.59it/s] 17it [00:03, 4.58it/s] 18it [00:03, 4.58it/s] 19it [00:04, 4.57it/s] 20it [00:04, 4.57it/s] 21it [00:04, 4.57it/s] 22it [00:04, 4.57it/s] 23it [00:04, 4.57it/s] 24it [00:05, 4.57it/s] 25it [00:05, 4.58it/s] 26it [00:05, 4.58it/s] 27it [00:05, 4.58it/s] 28it [00:06, 4.57it/s] 28it [00:06, 4.63it/s] Total safe images: 1 out of 1
Prediction
black-forest-labs/flux-fill-devOfficial modelIDyrjwqgzhahrma0ckcj6v487pjmStatusSucceededSourceWebTotal durationCreatedInput
- prompt
- a man in a blue jacket
- guidance
- 20
- megapixels
- 1
- num_outputs
- 1
- output_format
- webp
- output_quality
- 80
- num_inference_steps
- 28
{ "mask": "https://replicate.delivery/pbxt/M2FNClMAvaaRYCtWf3VP3Ikiv9U2jGemLQUiU8Hq3EHrk7Mn/denim-mask.png", "image": "https://replicate.delivery/pbxt/M2FNCc6Z6QPv8ERLIcPubmmxAFp9HnpsWi0CtK9o3ZDzchgb/Screenshot%202024-11-25%20at%201.10.30%E2%80%AFPM.png", "prompt": "a man in a blue jacket", "guidance": 20, "megapixels": "1", "num_outputs": 1, "output_format": "webp", "output_quality": 80, "num_inference_steps": 28 }
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 black-forest-labs/flux-fill-dev using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const input = { mask: "https://replicate.delivery/pbxt/M2FNClMAvaaRYCtWf3VP3Ikiv9U2jGemLQUiU8Hq3EHrk7Mn/denim-mask.png", image: "https://replicate.delivery/pbxt/M2FNCc6Z6QPv8ERLIcPubmmxAFp9HnpsWi0CtK9o3ZDzchgb/Screenshot%202024-11-25%20at%201.10.30%E2%80%AFPM.png", prompt: "a man in a blue jacket", guidance: 20, megapixels: "1", num_outputs: 1, output_format: "webp", output_quality: 80, num_inference_steps: 28 }; const output = await replicate.run("black-forest-labs/flux-fill-dev", { input }); 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 black-forest-labs/flux-fill-dev using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "black-forest-labs/flux-fill-dev", input={ "mask": "https://replicate.delivery/pbxt/M2FNClMAvaaRYCtWf3VP3Ikiv9U2jGemLQUiU8Hq3EHrk7Mn/denim-mask.png", "image": "https://replicate.delivery/pbxt/M2FNCc6Z6QPv8ERLIcPubmmxAFp9HnpsWi0CtK9o3ZDzchgb/Screenshot%202024-11-25%20at%201.10.30%E2%80%AFPM.png", "prompt": "a man in a blue jacket", "guidance": 20, "megapixels": "1", "num_outputs": 1, "output_format": "webp", "output_quality": 80, "num_inference_steps": 28 } ) 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 black-forest-labs/flux-fill-dev 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 $'{ "input": { "mask": "https://replicate.delivery/pbxt/M2FNClMAvaaRYCtWf3VP3Ikiv9U2jGemLQUiU8Hq3EHrk7Mn/denim-mask.png", "image": "https://replicate.delivery/pbxt/M2FNCc6Z6QPv8ERLIcPubmmxAFp9HnpsWi0CtK9o3ZDzchgb/Screenshot%202024-11-25%20at%201.10.30%E2%80%AFPM.png", "prompt": "a man in a blue jacket", "guidance": 20, "megapixels": "1", "num_outputs": 1, "output_format": "webp", "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/models/black-forest-labs/flux-fill-dev/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-11-25T18:20:50.929187Z", "created_at": "2024-11-25T18:20:44.244000Z", "data_removed": false, "error": null, "id": "yrjwqgzhahrma0ckcj6v487pjm", "input": { "mask": "https://replicate.delivery/pbxt/M2FNClMAvaaRYCtWf3VP3Ikiv9U2jGemLQUiU8Hq3EHrk7Mn/denim-mask.png", "image": "https://replicate.delivery/pbxt/M2FNCc6Z6QPv8ERLIcPubmmxAFp9HnpsWi0CtK9o3ZDzchgb/Screenshot%202024-11-25%20at%201.10.30%E2%80%AFPM.png", "prompt": "a man in a blue jacket", "guidance": 20, "megapixels": "1", "num_outputs": 1, "output_format": "webp", "output_quality": 80, "num_inference_steps": 28 }, "logs": "running bf16 model, fp8 disabled\nUsing seed: 7177\n0it [00:00, ?it/s]\n1it [00:00, 7.97it/s]\n2it [00:00, 5.57it/s]\n3it [00:00, 5.06it/s]\n4it [00:00, 4.86it/s]\n5it [00:01, 4.68it/s]\n6it [00:01, 4.63it/s]\n7it [00:01, 4.61it/s]\n8it [00:01, 4.60it/s]\n9it [00:01, 4.56it/s]\n10it [00:02, 4.53it/s]\n11it [00:02, 4.54it/s]\n12it [00:02, 4.55it/s]\n13it [00:02, 4.56it/s]\n14it [00:02, 4.54it/s]\n15it [00:03, 4.54it/s]\n16it [00:03, 4.54it/s]\n17it [00:03, 4.55it/s]\n18it [00:03, 4.53it/s]\n19it [00:04, 4.52it/s]\n20it [00:04, 4.51it/s]\n21it [00:04, 4.52it/s]\n22it [00:04, 4.53it/s]\n23it [00:04, 4.52it/s]\n24it [00:05, 4.53it/s]\n25it [00:05, 4.53it/s]\n26it [00:05, 4.53it/s]\n27it [00:05, 4.55it/s]\n28it [00:06, 4.54it/s]\n28it [00:06, 4.60it/s]\nTotal safe images: 1 out of 1", "metrics": { "image_count": 1, "predict_time": 6.675381619, "total_time": 6.685187 }, "output": [ "https://replicate.delivery/xezq/mNIbjV759OLdKpj07yHMKVmuvdKCOybWDYtbWZYaowsAyJ9E/out-0.webp" ], "started_at": "2024-11-25T18:20:44.253805Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-2quae7pmuhfbzhbmniefgc4ypwwajxbra3jfszec4bnnp63oiaxa", "get": "https://api.replicate.com/v1/predictions/yrjwqgzhahrma0ckcj6v487pjm", "cancel": "https://api.replicate.com/v1/predictions/yrjwqgzhahrma0ckcj6v487pjm/cancel" }, "version": "hidden" }
Generated inrunning bf16 model, fp8 disabled Using seed: 7177 0it [00:00, ?it/s] 1it [00:00, 7.97it/s] 2it [00:00, 5.57it/s] 3it [00:00, 5.06it/s] 4it [00:00, 4.86it/s] 5it [00:01, 4.68it/s] 6it [00:01, 4.63it/s] 7it [00:01, 4.61it/s] 8it [00:01, 4.60it/s] 9it [00:01, 4.56it/s] 10it [00:02, 4.53it/s] 11it [00:02, 4.54it/s] 12it [00:02, 4.55it/s] 13it [00:02, 4.56it/s] 14it [00:02, 4.54it/s] 15it [00:03, 4.54it/s] 16it [00:03, 4.54it/s] 17it [00:03, 4.55it/s] 18it [00:03, 4.53it/s] 19it [00:04, 4.52it/s] 20it [00:04, 4.51it/s] 21it [00:04, 4.52it/s] 22it [00:04, 4.53it/s] 23it [00:04, 4.52it/s] 24it [00:05, 4.53it/s] 25it [00:05, 4.53it/s] 26it [00:05, 4.53it/s] 27it [00:05, 4.55it/s] 28it [00:06, 4.54it/s] 28it [00:06, 4.60it/s] Total safe images: 1 out of 1
Prediction
black-forest-labs/flux-fill-devOfficial modelIDss1tr5655nrma0cmzcvsaeqgz0StatusSucceededSourceWebTotal durationCreatedInput
- prompt
- a white paper cup
- guidance
- 30
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- output_format
- webp
- output_quality
- 80
- num_inference_steps
- 50
{ "mask": "https://huggingface.co/datasets/diffusers/diffusers-images-docs/resolve/main/cup_mask.png", "image": "https://huggingface.co/datasets/diffusers/diffusers-images-docs/resolve/main/cup.png", "prompt": "a white paper cup", "guidance": 30, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "output_format": "webp", "output_quality": 80, "num_inference_steps": 50 }
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 black-forest-labs/flux-fill-dev using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const input = { mask: "https://huggingface.co/datasets/diffusers/diffusers-images-docs/resolve/main/cup_mask.png", image: "https://huggingface.co/datasets/diffusers/diffusers-images-docs/resolve/main/cup.png", prompt: "a white paper cup", guidance: 30, lora_scale: 1, megapixels: "1", num_outputs: 1, output_format: "webp", output_quality: 80, num_inference_steps: 50 }; const output = await replicate.run("black-forest-labs/flux-fill-dev", { input }); 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 black-forest-labs/flux-fill-dev using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "black-forest-labs/flux-fill-dev", input={ "mask": "https://huggingface.co/datasets/diffusers/diffusers-images-docs/resolve/main/cup_mask.png", "image": "https://huggingface.co/datasets/diffusers/diffusers-images-docs/resolve/main/cup.png", "prompt": "a white paper cup", "guidance": 30, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "output_format": "webp", "output_quality": 80, "num_inference_steps": 50 } ) 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 black-forest-labs/flux-fill-dev 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 $'{ "input": { "mask": "https://huggingface.co/datasets/diffusers/diffusers-images-docs/resolve/main/cup_mask.png", "image": "https://huggingface.co/datasets/diffusers/diffusers-images-docs/resolve/main/cup.png", "prompt": "a white paper cup", "guidance": 30, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "output_format": "webp", "output_quality": 80, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/models/black-forest-labs/flux-fill-dev/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-02-12T17:32:15.181126Z", "created_at": "2025-02-12T17:32:03.757000Z", "data_removed": false, "error": null, "id": "ss1tr5655nrma0cmzcvsaeqgz0", "input": { "mask": "https://huggingface.co/datasets/diffusers/diffusers-images-docs/resolve/main/cup_mask.png", "image": "https://huggingface.co/datasets/diffusers/diffusers-images-docs/resolve/main/cup.png", "prompt": "a white paper cup", "guidance": 30, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "output_format": "webp", "output_quality": 80, "num_inference_steps": 50 }, "logs": "Using seed: 13082\n0it [00:00, ?it/s]\n1it [00:00, 8.28it/s]\n2it [00:00, 5.77it/s]\n3it [00:00, 5.26it/s]\n4it [00:00, 5.05it/s]\n5it [00:00, 4.86it/s]\n6it [00:01, 4.80it/s]\n7it [00:01, 4.78it/s]\n8it [00:01, 4.77it/s]\n9it [00:01, 4.76it/s]\n10it [00:02, 4.72it/s]\n11it [00:02, 4.70it/s]\n12it [00:02, 4.72it/s]\n13it [00:02, 4.71it/s]\n14it [00:02, 4.71it/s]\n15it [00:03, 4.69it/s]\n16it [00:03, 4.69it/s]\n17it [00:03, 4.70it/s]\n18it [00:03, 4.69it/s]\n19it [00:03, 4.69it/s]\n20it [00:04, 4.69it/s]\n21it [00:04, 4.70it/s]\n22it [00:04, 4.71it/s]\n23it [00:04, 4.70it/s]\n24it [00:05, 4.70it/s]\n25it [00:05, 4.69it/s]\n26it [00:05, 4.70it/s]\n27it [00:05, 4.70it/s]\n28it [00:05, 4.69it/s]\n29it [00:06, 4.69it/s]\n30it [00:06, 4.69it/s]\n31it [00:06, 4.69it/s]\n32it [00:06, 4.68it/s]\n33it [00:06, 4.68it/s]\n34it [00:07, 4.69it/s]\n35it [00:07, 4.67it/s]\n36it [00:07, 4.68it/s]\n37it [00:07, 4.69it/s]\n38it [00:08, 4.68it/s]\n39it [00:08, 4.68it/s]\n40it [00:08, 4.68it/s]\n41it [00:08, 4.67it/s]\n42it [00:08, 4.68it/s]\n43it [00:09, 4.69it/s]\n44it [00:09, 4.69it/s]\n45it [00:09, 4.68it/s]\n46it [00:09, 4.68it/s]\n47it [00:09, 4.68it/s]\n48it [00:10, 4.68it/s]\n49it [00:10, 4.67it/s]\n50it [00:10, 4.67it/s]\n50it [00:10, 4.73it/s]\nTotal safe images: 1 out of 1", "metrics": { "image_count": 1, "predict_time": 11.416443632, "total_time": 11.424126 }, "output": [ "https://replicate.delivery/xezq/Jyo4VrEzxU4cPtmN1KL5h6g6OLujthgd1Do3C82euO0PaUHKA/out-0.webp" ], "started_at": "2025-02-12T17:32:03.764682Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-fpvpxekqfbkvrmtirbjrgvgna3yzgizb6veda7dgpswwqcbccwka", "get": "https://api.replicate.com/v1/predictions/ss1tr5655nrma0cmzcvsaeqgz0", "cancel": "https://api.replicate.com/v1/predictions/ss1tr5655nrma0cmzcvsaeqgz0/cancel" }, "version": "hidden" }
Generated inUsing seed: 13082 0it [00:00, ?it/s] 1it [00:00, 8.28it/s] 2it [00:00, 5.77it/s] 3it [00:00, 5.26it/s] 4it [00:00, 5.05it/s] 5it [00:00, 4.86it/s] 6it [00:01, 4.80it/s] 7it [00:01, 4.78it/s] 8it [00:01, 4.77it/s] 9it [00:01, 4.76it/s] 10it [00:02, 4.72it/s] 11it [00:02, 4.70it/s] 12it [00:02, 4.72it/s] 13it [00:02, 4.71it/s] 14it [00:02, 4.71it/s] 15it [00:03, 4.69it/s] 16it [00:03, 4.69it/s] 17it [00:03, 4.70it/s] 18it [00:03, 4.69it/s] 19it [00:03, 4.69it/s] 20it [00:04, 4.69it/s] 21it [00:04, 4.70it/s] 22it [00:04, 4.71it/s] 23it [00:04, 4.70it/s] 24it [00:05, 4.70it/s] 25it [00:05, 4.69it/s] 26it [00:05, 4.70it/s] 27it [00:05, 4.70it/s] 28it [00:05, 4.69it/s] 29it [00:06, 4.69it/s] 30it [00:06, 4.69it/s] 31it [00:06, 4.69it/s] 32it [00:06, 4.68it/s] 33it [00:06, 4.68it/s] 34it [00:07, 4.69it/s] 35it [00:07, 4.67it/s] 36it [00:07, 4.68it/s] 37it [00:07, 4.69it/s] 38it [00:08, 4.68it/s] 39it [00:08, 4.68it/s] 40it [00:08, 4.68it/s] 41it [00:08, 4.67it/s] 42it [00:08, 4.68it/s] 43it [00:09, 4.69it/s] 44it [00:09, 4.69it/s] 45it [00:09, 4.68it/s] 46it [00:09, 4.68it/s] 47it [00:09, 4.68it/s] 48it [00:10, 4.68it/s] 49it [00:10, 4.67it/s] 50it [00:10, 4.67it/s] 50it [00:10, 4.73it/s] Total safe images: 1 out of 1
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