lucataco
/
flux.1-turbo-alpha
8-step distilled lora for FLUX.1-dev model released by the Alimama-Creative Team
Prediction
lucataco/flux.1-turbo-alpha:0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915ID37ynatn3ydrj60cjjdtbr42gdmStatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedInput
- prompt
- a classroom setting where a donkey dressed in a colorful polka-dotted jacket and a red clown wig is standing at the front, holding a marker and appearing to write on a chalkboard filled with complex mathematical formulas. In front of the donkey, a group of students are seated, observing the donkey as if it were a teacher
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 8
{ "prompt": "a classroom setting where a donkey dressed in a colorful polka-dotted jacket and a red clown wig is standing at the front, holding a marker and appearing to write on a chalkboard filled with complex mathematical formulas. In front of the donkey, a group of students are seated, observing the donkey as if it were a teacher", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 8 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/flux.1-turbo-alpha using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/flux.1-turbo-alpha:0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915", { input: { prompt: "a classroom setting where a donkey dressed in a colorful polka-dotted jacket and a red clown wig is standing at the front, holding a marker and appearing to write on a chalkboard filled with complex mathematical formulas. In front of the donkey, a group of students are seated, observing the donkey as if it were a teacher", num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 8 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run lucataco/flux.1-turbo-alpha using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/flux.1-turbo-alpha:0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915", input={ "prompt": "a classroom setting where a donkey dressed in a colorful polka-dotted jacket and a red clown wig is standing at the front, holding a marker and appearing to write on a chalkboard filled with complex mathematical formulas. In front of the donkey, a group of students are seated, observing the donkey as if it were a teacher", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 8 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run lucataco/flux.1-turbo-alpha 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": "0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915", "input": { "prompt": "a classroom setting where a donkey dressed in a colorful polka-dotted jacket and a red clown wig is standing at the front, holding a marker and appearing to write on a chalkboard filled with complex mathematical formulas. In front of the donkey, a group of students are seated, observing the donkey as if it were a teacher", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 8 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-10-16T03:52:31.905311Z", "created_at": "2024-10-16T03:52:27.891000Z", "data_removed": false, "error": null, "id": "37ynatn3ydrj60cjjdtbr42gdm", "input": { "prompt": "a classroom setting where a donkey dressed in a colorful polka-dotted jacket and a red clown wig is standing at the front, holding a marker and appearing to write on a chalkboard filled with complex mathematical formulas. In front of the donkey, a group of students are seated, observing the donkey as if it were a teacher", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 8 }, "logs": "Using seed: 60905\nPrompt: a classroom setting where a donkey dressed in a colorful polka-dotted jacket and a red clown wig is standing at the front, holding a marker and appearing to write on a chalkboard filled with complex mathematical formulas. In front of the donkey, a group of students are seated, observing the donkey as if it were a teacher\ntxt2img mode\n 0%| | 0/8 [00:00<?, ?it/s]\n 12%|█▎ | 1/8 [00:00<00:03, 2.20it/s]\n 25%|██▌ | 2/8 [00:00<00:02, 2.88it/s]\n 38%|███▊ | 3/8 [00:01<00:01, 2.52it/s]\n 50%|█████ | 4/8 [00:01<00:01, 2.38it/s]\n 62%|██████▎ | 5/8 [00:02<00:01, 2.31it/s]\n 75%|███████▌ | 6/8 [00:02<00:00, 2.26it/s]\n 88%|████████▊ | 7/8 [00:03<00:00, 2.24it/s]\n100%|██████████| 8/8 [00:03<00:00, 2.22it/s]\n100%|██████████| 8/8 [00:03<00:00, 2.31it/s]", "metrics": { "predict_time": 4.005206754, "total_time": 4.014311 }, "output": [ "https://replicate.delivery/yhqm/DyQaBNH7xvIQFRMf6E8MT53nAzOCVOwCBdQ4VdLpPuwfpOnTA/out-0.webp" ], "started_at": "2024-10-16T03:52:27.900104Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/37ynatn3ydrj60cjjdtbr42gdm", "cancel": "https://api.replicate.com/v1/predictions/37ynatn3ydrj60cjjdtbr42gdm/cancel" }, "version": "0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915" }
Generated inUsing seed: 60905 Prompt: a classroom setting where a donkey dressed in a colorful polka-dotted jacket and a red clown wig is standing at the front, holding a marker and appearing to write on a chalkboard filled with complex mathematical formulas. In front of the donkey, a group of students are seated, observing the donkey as if it were a teacher txt2img mode 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:03, 2.20it/s] 25%|██▌ | 2/8 [00:00<00:02, 2.88it/s] 38%|███▊ | 3/8 [00:01<00:01, 2.52it/s] 50%|█████ | 4/8 [00:01<00:01, 2.38it/s] 62%|██████▎ | 5/8 [00:02<00:01, 2.31it/s] 75%|███████▌ | 6/8 [00:02<00:00, 2.26it/s] 88%|████████▊ | 7/8 [00:03<00:00, 2.24it/s] 100%|██████████| 8/8 [00:03<00:00, 2.22it/s] 100%|██████████| 8/8 [00:03<00:00, 2.31it/s]
Prediction
lucataco/flux.1-turbo-alpha:0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915IDyajk7v8e3drj40cjjdvttc8v54StatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedInput
- prompt
- a young woman with short, wavy, silver-gray hair. She is wearing a light-colored, possibly off-white or beige, blouse with delicate, white floral embroidery on the sleeves. The blouse appears to be made of a sheer fabric, possibly chiffon or a similar lightweight material. The woman is outdoors, standing in a well-maintained garden or park with lush greenery and a traditional-looking structure, possibly a gazebo or pagoda, in the background. The setting is serene, with soft sunlight filtering through the trees, casting a gentle glow on the scene
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 8
{ "prompt": "a young woman with short, wavy, silver-gray hair. She is wearing a light-colored, possibly off-white or beige, blouse with delicate, white floral embroidery on the sleeves. The blouse appears to be made of a sheer fabric, possibly chiffon or a similar lightweight material. The woman is outdoors, standing in a well-maintained garden or park with lush greenery and a traditional-looking structure, possibly a gazebo or pagoda, in the background. The setting is serene, with soft sunlight filtering through the trees, casting a gentle glow on the scene", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 8 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/flux.1-turbo-alpha using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/flux.1-turbo-alpha:0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915", { input: { prompt: "a young woman with short, wavy, silver-gray hair. She is wearing a light-colored, possibly off-white or beige, blouse with delicate, white floral embroidery on the sleeves. The blouse appears to be made of a sheer fabric, possibly chiffon or a similar lightweight material. The woman is outdoors, standing in a well-maintained garden or park with lush greenery and a traditional-looking structure, possibly a gazebo or pagoda, in the background. The setting is serene, with soft sunlight filtering through the trees, casting a gentle glow on the scene", num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 8 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run lucataco/flux.1-turbo-alpha using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/flux.1-turbo-alpha:0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915", input={ "prompt": "a young woman with short, wavy, silver-gray hair. She is wearing a light-colored, possibly off-white or beige, blouse with delicate, white floral embroidery on the sleeves. The blouse appears to be made of a sheer fabric, possibly chiffon or a similar lightweight material. The woman is outdoors, standing in a well-maintained garden or park with lush greenery and a traditional-looking structure, possibly a gazebo or pagoda, in the background. The setting is serene, with soft sunlight filtering through the trees, casting a gentle glow on the scene", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 8 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run lucataco/flux.1-turbo-alpha 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": "0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915", "input": { "prompt": "a young woman with short, wavy, silver-gray hair. She is wearing a light-colored, possibly off-white or beige, blouse with delicate, white floral embroidery on the sleeves. The blouse appears to be made of a sheer fabric, possibly chiffon or a similar lightweight material. The woman is outdoors, standing in a well-maintained garden or park with lush greenery and a traditional-looking structure, possibly a gazebo or pagoda, in the background. The setting is serene, with soft sunlight filtering through the trees, casting a gentle glow on the scene", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 8 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-10-16T03:55:10.158856Z", "created_at": "2024-10-16T03:55:06.139000Z", "data_removed": false, "error": null, "id": "yajk7v8e3drj40cjjdvttc8v54", "input": { "prompt": "a young woman with short, wavy, silver-gray hair. She is wearing a light-colored, possibly off-white or beige, blouse with delicate, white floral embroidery on the sleeves. The blouse appears to be made of a sheer fabric, possibly chiffon or a similar lightweight material. The woman is outdoors, standing in a well-maintained garden or park with lush greenery and a traditional-looking structure, possibly a gazebo or pagoda, in the background. The setting is serene, with soft sunlight filtering through the trees, casting a gentle glow on the scene", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 8 }, "logs": "Using seed: 37647\nPrompt: a young woman with short, wavy, silver-gray hair. She is wearing a light-colored, possibly off-white or beige, blouse with delicate, white floral embroidery on the sleeves. The blouse appears to be made of a sheer fabric, possibly chiffon or a similar lightweight material. The woman is outdoors, standing in a well-maintained garden or park with lush greenery and a traditional-looking structure, possibly a gazebo or pagoda, in the background. The setting is serene, with soft sunlight filtering through the trees, casting a gentle glow on the scene\ntxt2img mode\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['and a traditional - looking structure, possibly a gazebo or pagoda, in the background. the setting is serene, with soft sunlight filtering through the trees, casting a gentle glow on the scene']\n 0%| | 0/8 [00:00<?, ?it/s]\n 12%|█▎ | 1/8 [00:00<00:03, 2.20it/s]\n 25%|██▌ | 2/8 [00:00<00:02, 2.88it/s]\n 38%|███▊ | 3/8 [00:01<00:01, 2.52it/s]\n 50%|█████ | 4/8 [00:01<00:01, 2.38it/s]\n 62%|██████▎ | 5/8 [00:02<00:01, 2.30it/s]\n 75%|███████▌ | 6/8 [00:02<00:00, 2.26it/s]\n 88%|████████▊ | 7/8 [00:03<00:00, 2.24it/s]\n100%|██████████| 8/8 [00:03<00:00, 2.22it/s]\n100%|██████████| 8/8 [00:03<00:00, 2.30it/s]", "metrics": { "predict_time": 4.008545794, "total_time": 4.019856 }, "output": [ "https://replicate.delivery/yhqm/G8jHOUeKLtSOXiIH0ItLkABL738lUevaim9qsAue0xC9YdOnA/out-0.webp" ], "started_at": "2024-10-16T03:55:06.150310Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/yajk7v8e3drj40cjjdvttc8v54", "cancel": "https://api.replicate.com/v1/predictions/yajk7v8e3drj40cjjdvttc8v54/cancel" }, "version": "0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915" }
Generated inUsing seed: 37647 Prompt: a young woman with short, wavy, silver-gray hair. She is wearing a light-colored, possibly off-white or beige, blouse with delicate, white floral embroidery on the sleeves. The blouse appears to be made of a sheer fabric, possibly chiffon or a similar lightweight material. The woman is outdoors, standing in a well-maintained garden or park with lush greenery and a traditional-looking structure, possibly a gazebo or pagoda, in the background. The setting is serene, with soft sunlight filtering through the trees, casting a gentle glow on the scene txt2img mode The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['and a traditional - looking structure, possibly a gazebo or pagoda, in the background. the setting is serene, with soft sunlight filtering through the trees, casting a gentle glow on the scene'] 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:03, 2.20it/s] 25%|██▌ | 2/8 [00:00<00:02, 2.88it/s] 38%|███▊ | 3/8 [00:01<00:01, 2.52it/s] 50%|█████ | 4/8 [00:01<00:01, 2.38it/s] 62%|██████▎ | 5/8 [00:02<00:01, 2.30it/s] 75%|███████▌ | 6/8 [00:02<00:00, 2.26it/s] 88%|████████▊ | 7/8 [00:03<00:00, 2.24it/s] 100%|██████████| 8/8 [00:03<00:00, 2.22it/s] 100%|██████████| 8/8 [00:03<00:00, 2.30it/s]
Prediction
lucataco/flux.1-turbo-alpha:0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915IDcndjm69bbhrj40cjjdq9x49x0rStatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedInput
- prompt
- A DSLR photo of a shiny VW van that has a cityscape painted on it. A smiling sloth stands on grass in front of the van and is wearing a leather jacket, a cowboy hat, a kilt and a bowtie. The sloth is holding a quarterstaff and a big book
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 8
{ "prompt": "A DSLR photo of a shiny VW van that has a cityscape painted on it. A smiling sloth stands on grass in front of the van and is wearing a leather jacket, a cowboy hat, a kilt and a bowtie. The sloth is holding a quarterstaff and a big book", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 8 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/flux.1-turbo-alpha using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/flux.1-turbo-alpha:0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915", { input: { prompt: "A DSLR photo of a shiny VW van that has a cityscape painted on it. A smiling sloth stands on grass in front of the van and is wearing a leather jacket, a cowboy hat, a kilt and a bowtie. The sloth is holding a quarterstaff and a big book", num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 8 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run lucataco/flux.1-turbo-alpha using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/flux.1-turbo-alpha:0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915", input={ "prompt": "A DSLR photo of a shiny VW van that has a cityscape painted on it. A smiling sloth stands on grass in front of the van and is wearing a leather jacket, a cowboy hat, a kilt and a bowtie. The sloth is holding a quarterstaff and a big book", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 8 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run lucataco/flux.1-turbo-alpha 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": "0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915", "input": { "prompt": "A DSLR photo of a shiny VW van that has a cityscape painted on it. A smiling sloth stands on grass in front of the van and is wearing a leather jacket, a cowboy hat, a kilt and a bowtie. The sloth is holding a quarterstaff and a big book", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 8 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-10-16T03:45:27.833662Z", "created_at": "2024-10-16T03:45:23.804000Z", "data_removed": false, "error": null, "id": "cndjm69bbhrj40cjjdq9x49x0r", "input": { "prompt": "A DSLR photo of a shiny VW van that has a cityscape painted on it. A smiling sloth stands on grass in front of the van and is wearing a leather jacket, a cowboy hat, a kilt and a bowtie. The sloth is holding a quarterstaff and a big book", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 8 }, "logs": "Using seed: 18200\nPrompt: A DSLR photo of a shiny VW van that has a cityscape painted on it. A smiling sloth stands on grass in front of the van and is wearing a leather jacket, a cowboy hat, a kilt and a bowtie. The sloth is holding a quarterstaff and a big book\ntxt2img mode\n 0%| | 0/8 [00:00<?, ?it/s]\n 12%|█▎ | 1/8 [00:00<00:03, 2.20it/s]\n 25%|██▌ | 2/8 [00:00<00:02, 2.88it/s]\n 38%|███▊ | 3/8 [00:01<00:01, 2.52it/s]\n 50%|█████ | 4/8 [00:01<00:01, 2.38it/s]\n 62%|██████▎ | 5/8 [00:02<00:01, 2.31it/s]\n 75%|███████▌ | 6/8 [00:02<00:00, 2.27it/s]\n 88%|████████▊ | 7/8 [00:03<00:00, 2.24it/s]\n100%|██████████| 8/8 [00:03<00:00, 2.23it/s]\n100%|██████████| 8/8 [00:03<00:00, 2.31it/s]", "metrics": { "predict_time": 4.020021036, "total_time": 4.029662 }, "output": [ "https://replicate.delivery/yhqm/DXZXkqVwq5pIIRBPt0FO4VbajbMDfGM1IgWWTXeLI4zXjOnTA/out-0.webp" ], "started_at": "2024-10-16T03:45:23.813641Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/cndjm69bbhrj40cjjdq9x49x0r", "cancel": "https://api.replicate.com/v1/predictions/cndjm69bbhrj40cjjdq9x49x0r/cancel" }, "version": "0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915" }
Generated inUsing seed: 18200 Prompt: A DSLR photo of a shiny VW van that has a cityscape painted on it. A smiling sloth stands on grass in front of the van and is wearing a leather jacket, a cowboy hat, a kilt and a bowtie. The sloth is holding a quarterstaff and a big book txt2img mode 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:03, 2.20it/s] 25%|██▌ | 2/8 [00:00<00:02, 2.88it/s] 38%|███▊ | 3/8 [00:01<00:01, 2.52it/s] 50%|█████ | 4/8 [00:01<00:01, 2.38it/s] 62%|██████▎ | 5/8 [00:02<00:01, 2.31it/s] 75%|███████▌ | 6/8 [00:02<00:00, 2.27it/s] 88%|████████▊ | 7/8 [00:03<00:00, 2.24it/s] 100%|██████████| 8/8 [00:03<00:00, 2.23it/s] 100%|██████████| 8/8 [00:03<00:00, 2.31it/s]
Prediction
lucataco/flux.1-turbo-alpha:0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915IDrqc525eam9rj60cjjdtr7w31cwStatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedby @lucatacoInput
- prompt
- a light bulb, instead of the usual filament, there's a small sailboat with its sails unfurled. The sailboat is illuminated from within, suggesting it's powered by the light bulb itself. The bulb is suspended against a cosmic backdrop filled with stars, giving the impression that the sailboat is sailing through space
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 8
{ "prompt": "a light bulb, instead of the usual filament, there's a small sailboat with its sails unfurled. The sailboat is illuminated from within, suggesting it's powered by the light bulb itself. The bulb is suspended against a cosmic backdrop filled with stars, giving the impression that the sailboat is sailing through space", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 8 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/flux.1-turbo-alpha using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/flux.1-turbo-alpha:0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915", { input: { prompt: "a light bulb, instead of the usual filament, there's a small sailboat with its sails unfurled. The sailboat is illuminated from within, suggesting it's powered by the light bulb itself. The bulb is suspended against a cosmic backdrop filled with stars, giving the impression that the sailboat is sailing through space", num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 8 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run lucataco/flux.1-turbo-alpha using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/flux.1-turbo-alpha:0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915", input={ "prompt": "a light bulb, instead of the usual filament, there's a small sailboat with its sails unfurled. The sailboat is illuminated from within, suggesting it's powered by the light bulb itself. The bulb is suspended against a cosmic backdrop filled with stars, giving the impression that the sailboat is sailing through space", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 8 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run lucataco/flux.1-turbo-alpha 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": "0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915", "input": { "prompt": "a light bulb, instead of the usual filament, there\'s a small sailboat with its sails unfurled. The sailboat is illuminated from within, suggesting it\'s powered by the light bulb itself. The bulb is suspended against a cosmic backdrop filled with stars, giving the impression that the sailboat is sailing through space", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 8 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-10-16T03:53:47.326944Z", "created_at": "2024-10-16T03:53:43.330000Z", "data_removed": false, "error": null, "id": "rqc525eam9rj60cjjdtr7w31cw", "input": { "prompt": "a light bulb, instead of the usual filament, there's a small sailboat with its sails unfurled. The sailboat is illuminated from within, suggesting it's powered by the light bulb itself. The bulb is suspended against a cosmic backdrop filled with stars, giving the impression that the sailboat is sailing through space", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 8 }, "logs": "Using seed: 21537\nPrompt: a light bulb, instead of the usual filament, there's a small sailboat with its sails unfurled. The sailboat is illuminated from within, suggesting it's powered by the light bulb itself. The bulb is suspended against a cosmic backdrop filled with stars, giving the impression that the sailboat is sailing through space\ntxt2img mode\n 0%| | 0/8 [00:00<?, ?it/s]\n 12%|█▎ | 1/8 [00:00<00:03, 2.20it/s]\n 25%|██▌ | 2/8 [00:00<00:02, 2.89it/s]\n 38%|███▊ | 3/8 [00:01<00:01, 2.52it/s]\n 50%|█████ | 4/8 [00:01<00:01, 2.38it/s]\n 62%|██████▎ | 5/8 [00:02<00:01, 2.31it/s]\n 75%|███████▌ | 6/8 [00:02<00:00, 2.27it/s]\n 88%|████████▊ | 7/8 [00:03<00:00, 2.24it/s]\n100%|██████████| 8/8 [00:03<00:00, 2.23it/s]\n100%|██████████| 8/8 [00:03<00:00, 2.31it/s]", "metrics": { "predict_time": 3.985786937, "total_time": 3.996944 }, "output": [ "https://replicate.delivery/yhqm/q9DhObZXYwqhLVD7TVueOsLGzTkXn8KiJlJXu56MNG5lVnzJA/out-0.webp" ], "started_at": "2024-10-16T03:53:43.341157Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/rqc525eam9rj60cjjdtr7w31cw", "cancel": "https://api.replicate.com/v1/predictions/rqc525eam9rj60cjjdtr7w31cw/cancel" }, "version": "0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915" }
Generated inUsing seed: 21537 Prompt: a light bulb, instead of the usual filament, there's a small sailboat with its sails unfurled. The sailboat is illuminated from within, suggesting it's powered by the light bulb itself. The bulb is suspended against a cosmic backdrop filled with stars, giving the impression that the sailboat is sailing through space txt2img mode 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:03, 2.20it/s] 25%|██▌ | 2/8 [00:00<00:02, 2.89it/s] 38%|███▊ | 3/8 [00:01<00:01, 2.52it/s] 50%|█████ | 4/8 [00:01<00:01, 2.38it/s] 62%|██████▎ | 5/8 [00:02<00:01, 2.31it/s] 75%|███████▌ | 6/8 [00:02<00:00, 2.27it/s] 88%|████████▊ | 7/8 [00:03<00:00, 2.24it/s] 100%|██████████| 8/8 [00:03<00:00, 2.23it/s] 100%|██████████| 8/8 [00:03<00:00, 2.31it/s]
Prediction
lucataco/flux.1-turbo-alpha:0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915IDgyc9abeqddrj60cjjdvr47rft0StatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedInput
- prompt
- a conceptual visualization of a laptop placed on a stage-like platform. The laptop's screen displays a captivating digital wallpaper, featuring a vibrant, swirling pattern of colors in shades of purple, blue, and pink, reminiscent of a cosmic or celestial scene, possibly depicting a galaxy or nebula. Surrounding the laptop is a holographic projection of a glowing, neon ring that radiates a soft, ambient light. This ring appears to be semi-transparent and is set against a dark, gradient background that shifts from deep purple to black. The overall atmosphere exudes a futuristic and high-tech aesthetic
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 8
{ "prompt": "a conceptual visualization of a laptop placed on a stage-like platform. The laptop's screen displays a captivating digital wallpaper, featuring a vibrant, swirling pattern of colors in shades of purple, blue, and pink, reminiscent of a cosmic or celestial scene, possibly depicting a galaxy or nebula. Surrounding the laptop is a holographic projection of a glowing, neon ring that radiates a soft, ambient light. This ring appears to be semi-transparent and is set against a dark, gradient background that shifts from deep purple to black. The overall atmosphere exudes a futuristic and high-tech aesthetic", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 8 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/flux.1-turbo-alpha using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/flux.1-turbo-alpha:0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915", { input: { prompt: "a conceptual visualization of a laptop placed on a stage-like platform. The laptop's screen displays a captivating digital wallpaper, featuring a vibrant, swirling pattern of colors in shades of purple, blue, and pink, reminiscent of a cosmic or celestial scene, possibly depicting a galaxy or nebula. Surrounding the laptop is a holographic projection of a glowing, neon ring that radiates a soft, ambient light. This ring appears to be semi-transparent and is set against a dark, gradient background that shifts from deep purple to black. The overall atmosphere exudes a futuristic and high-tech aesthetic", num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 8 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run lucataco/flux.1-turbo-alpha using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/flux.1-turbo-alpha:0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915", input={ "prompt": "a conceptual visualization of a laptop placed on a stage-like platform. The laptop's screen displays a captivating digital wallpaper, featuring a vibrant, swirling pattern of colors in shades of purple, blue, and pink, reminiscent of a cosmic or celestial scene, possibly depicting a galaxy or nebula. Surrounding the laptop is a holographic projection of a glowing, neon ring that radiates a soft, ambient light. This ring appears to be semi-transparent and is set against a dark, gradient background that shifts from deep purple to black. The overall atmosphere exudes a futuristic and high-tech aesthetic", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 8 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run lucataco/flux.1-turbo-alpha 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": "0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915", "input": { "prompt": "a conceptual visualization of a laptop placed on a stage-like platform. The laptop\'s screen displays a captivating digital wallpaper, featuring a vibrant, swirling pattern of colors in shades of purple, blue, and pink, reminiscent of a cosmic or celestial scene, possibly depicting a galaxy or nebula. Surrounding the laptop is a holographic projection of a glowing, neon ring that radiates a soft, ambient light. This ring appears to be semi-transparent and is set against a dark, gradient background that shifts from deep purple to black. The overall atmosphere exudes a futuristic and high-tech aesthetic", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 8 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-10-16T03:56:01.679187Z", "created_at": "2024-10-16T03:55:57.675000Z", "data_removed": false, "error": null, "id": "gyc9abeqddrj60cjjdvr47rft0", "input": { "prompt": "a conceptual visualization of a laptop placed on a stage-like platform. The laptop's screen displays a captivating digital wallpaper, featuring a vibrant, swirling pattern of colors in shades of purple, blue, and pink, reminiscent of a cosmic or celestial scene, possibly depicting a galaxy or nebula. Surrounding the laptop is a holographic projection of a glowing, neon ring that radiates a soft, ambient light. This ring appears to be semi-transparent and is set against a dark, gradient background that shifts from deep purple to black. The overall atmosphere exudes a futuristic and high-tech aesthetic", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 8 }, "logs": "Using seed: 52659\nPrompt: a conceptual visualization of a laptop placed on a stage-like platform. The laptop's screen displays a captivating digital wallpaper, featuring a vibrant, swirling pattern of colors in shades of purple, blue, and pink, reminiscent of a cosmic or celestial scene, possibly depicting a galaxy or nebula. Surrounding the laptop is a holographic projection of a glowing, neon ring that radiates a soft, ambient light. This ring appears to be semi-transparent and is set against a dark, gradient background that shifts from deep purple to black. The overall atmosphere exudes a futuristic and high-tech aesthetic\ntxt2img mode\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['a soft, ambient light. this ring appears to be semi - transparent and is set against a dark, gradient background that shifts from deep purple to black. the overall atmosphere exudes a futuristic and high - tech aesthetic']\n 0%| | 0/8 [00:00<?, ?it/s]\n 12%|█▎ | 1/8 [00:00<00:03, 2.20it/s]\n 25%|██▌ | 2/8 [00:00<00:02, 2.88it/s]\n 38%|███▊ | 3/8 [00:01<00:01, 2.52it/s]\n 50%|█████ | 4/8 [00:01<00:01, 2.38it/s]\n 62%|██████▎ | 5/8 [00:02<00:01, 2.31it/s]\n 75%|███████▌ | 6/8 [00:02<00:00, 2.27it/s]\n 88%|████████▊ | 7/8 [00:03<00:00, 2.24it/s]\n100%|██████████| 8/8 [00:03<00:00, 2.23it/s]\n100%|██████████| 8/8 [00:03<00:00, 2.31it/s]", "metrics": { "predict_time": 3.9939710870000003, "total_time": 4.004187 }, "output": [ "https://replicate.delivery/yhqm/UkSFJybve1zQOasVZpeBXbr2IAuqjdgJajhc3fgDhWAjadOnA/out-0.webp" ], "started_at": "2024-10-16T03:55:57.685216Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/gyc9abeqddrj60cjjdvr47rft0", "cancel": "https://api.replicate.com/v1/predictions/gyc9abeqddrj60cjjdvr47rft0/cancel" }, "version": "0a1455f62355121add4f2a90e7cc3cbc3343359c2852f321da7660c101047915" }
Generated inUsing seed: 52659 Prompt: a conceptual visualization of a laptop placed on a stage-like platform. The laptop's screen displays a captivating digital wallpaper, featuring a vibrant, swirling pattern of colors in shades of purple, blue, and pink, reminiscent of a cosmic or celestial scene, possibly depicting a galaxy or nebula. Surrounding the laptop is a holographic projection of a glowing, neon ring that radiates a soft, ambient light. This ring appears to be semi-transparent and is set against a dark, gradient background that shifts from deep purple to black. The overall atmosphere exudes a futuristic and high-tech aesthetic txt2img mode The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['a soft, ambient light. this ring appears to be semi - transparent and is set against a dark, gradient background that shifts from deep purple to black. the overall atmosphere exudes a futuristic and high - tech aesthetic'] 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:03, 2.20it/s] 25%|██▌ | 2/8 [00:00<00:02, 2.88it/s] 38%|███▊ | 3/8 [00:01<00:01, 2.52it/s] 50%|█████ | 4/8 [00:01<00:01, 2.38it/s] 62%|██████▎ | 5/8 [00:02<00:01, 2.31it/s] 75%|███████▌ | 6/8 [00:02<00:00, 2.27it/s] 88%|████████▊ | 7/8 [00:03<00:00, 2.24it/s] 100%|██████████| 8/8 [00:03<00:00, 2.23it/s] 100%|██████████| 8/8 [00:03<00:00, 2.31it/s]
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