fofr
/
flux-cassette-futurism
Flux lora, use "cassette futurism" to trigger generation
- Public
- 829 runs
-
H100
- Paper
Prediction
fofr/flux-cassette-futurism:808a3af8caa40ef4ef40244685f1b470a5c05c81b646eb2e20a941f976865b52IDxs5hxs99x1rm40chd85803s6p8StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a cassette futurism magazine page with the title "The future?" in a cassette futurism typeface, it shows a woman with headset on, natural white and grey lighting
- lora_scale
- 0.9
- num_outputs
- 4
- aspect_ratio
- 4:5
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a cassette futurism magazine page with the title \"The future?\" in a cassette futurism typeface, it shows a woman with headset on, natural white and grey lighting", "lora_scale": 0.9, "num_outputs": 4, "aspect_ratio": "4:5", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run fofr/flux-cassette-futurism using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/flux-cassette-futurism:808a3af8caa40ef4ef40244685f1b470a5c05c81b646eb2e20a941f976865b52", { input: { model: "dev", prompt: "a cassette futurism magazine page with the title \"The future?\" in a cassette futurism typeface, it shows a woman with headset on, natural white and grey lighting", lora_scale: 0.9, num_outputs: 4, aspect_ratio: "4:5", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 28 } } ); // 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 replicateImport the client:import replicateRun fofr/flux-cassette-futurism using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/flux-cassette-futurism:808a3af8caa40ef4ef40244685f1b470a5c05c81b646eb2e20a941f976865b52", input={ "model": "dev", "prompt": "a cassette futurism magazine page with the title \"The future?\" in a cassette futurism typeface, it shows a woman with headset on, natural white and grey lighting", "lora_scale": 0.9, "num_outputs": 4, "aspect_ratio": "4:5", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run fofr/flux-cassette-futurism 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": "fofr/flux-cassette-futurism:808a3af8caa40ef4ef40244685f1b470a5c05c81b646eb2e20a941f976865b52", "input": { "model": "dev", "prompt": "a cassette futurism magazine page with the title \\"The future?\\" in a cassette futurism typeface, it shows a woman with headset on, natural white and grey lighting", "lora_scale": 0.9, "num_outputs": 4, "aspect_ratio": "4:5", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-19T09:49:58.519279Z", "created_at": "2024-08-19T09:48:56.680000Z", "data_removed": false, "error": null, "id": "xs5hxs99x1rm40chd85803s6p8", "input": { "model": "dev", "prompt": "a cassette futurism magazine page with the title \"The future?\" in a cassette futurism typeface, it shows a woman with headset on, natural white and grey lighting", "lora_scale": 0.9, "num_outputs": 4, "aspect_ratio": "4:5", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 56545\nPrompt: a cassette futurism magazine page with the title \"The future?\" in a cassette futurism typeface, it shows a woman with headset on, natural white and grey lighting\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nLoRA weights loaded successfully\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:25, 1.07it/s]\n 7%|▋ | 2/28 [00:01<00:21, 1.21it/s]\n 11%|█ | 3/28 [00:02<00:21, 1.14it/s]\n 14%|█▍ | 4/28 [00:03<00:21, 1.11it/s]\n 18%|█▊ | 5/28 [00:04<00:21, 1.09it/s]\n 21%|██▏ | 6/28 [00:05<00:20, 1.08it/s]\n 25%|██▌ | 7/28 [00:06<00:19, 1.08it/s]\n 29%|██▊ | 8/28 [00:07<00:18, 1.07it/s]\n 32%|███▏ | 9/28 [00:08<00:17, 1.07it/s]\n 36%|███▌ | 10/28 [00:09<00:16, 1.07it/s]\n 39%|███▉ | 11/28 [00:10<00:15, 1.07it/s]\n 43%|████▎ | 12/28 [00:11<00:15, 1.07it/s]\n 46%|████▋ | 13/28 [00:12<00:14, 1.07it/s]\n 50%|█████ | 14/28 [00:12<00:13, 1.07it/s]\n 54%|█████▎ | 15/28 [00:13<00:12, 1.06it/s]\n 57%|█████▋ | 16/28 [00:14<00:11, 1.06it/s]\n 61%|██████ | 17/28 [00:15<00:10, 1.06it/s]\n 64%|██████▍ | 18/28 [00:16<00:09, 1.06it/s]\n 68%|██████▊ | 19/28 [00:17<00:08, 1.06it/s]\n 71%|███████▏ | 20/28 [00:18<00:07, 1.06it/s]\n 75%|███████▌ | 21/28 [00:19<00:06, 1.06it/s]\n 79%|███████▊ | 22/28 [00:20<00:05, 1.07it/s]\n 82%|████████▏ | 23/28 [00:21<00:04, 1.07it/s]\n 86%|████████▌ | 24/28 [00:22<00:03, 1.07it/s]\n 89%|████████▉ | 25/28 [00:23<00:02, 1.07it/s]\n 93%|█████████▎| 26/28 [00:24<00:01, 1.07it/s]\n 96%|█████████▋| 27/28 [00:25<00:00, 1.07it/s]\n100%|██████████| 28/28 [00:26<00:00, 1.07it/s]\n100%|██████████| 28/28 [00:26<00:00, 1.07it/s]", "metrics": { "predict_time": 35.192729896, "total_time": 61.839279 }, "output": [ "https://replicate.delivery/yhqm/5itZ5GdctiZlJJPTLdu327c7fdNwsYCPD0QutbYnSLajOGqJA/out-0.webp", "https://replicate.delivery/yhqm/gilESLA2JJJvN1tkdZDDy8tAK4TJuK9d5Z7V2Vxj0ClRHD1E/out-1.webp", "https://replicate.delivery/yhqm/pX0xCQ7PJBJVFRdcKyWTBMUuNMcc46cnDtQmYLL0y4lRHD1E/out-2.webp", "https://replicate.delivery/yhqm/CfWgjvsCe3nulEsjnPXZqMdOCvspWWNmgh4iezwvKeLZ0xQNB/out-3.webp" ], "started_at": "2024-08-19T09:49:23.326549Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/xs5hxs99x1rm40chd85803s6p8", "cancel": "https://api.replicate.com/v1/predictions/xs5hxs99x1rm40chd85803s6p8/cancel" }, "version": "808a3af8caa40ef4ef40244685f1b470a5c05c81b646eb2e20a941f976865b52" }Generated inUsing seed: 56545 Prompt: a cassette futurism magazine page with the title "The future?" in a cassette futurism typeface, it shows a woman with headset on, natural white and grey lighting txt2img mode Using dev model Loading LoRA weights LoRA weights loaded successfully 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:25, 1.07it/s] 7%|▋ | 2/28 [00:01<00:21, 1.21it/s] 11%|█ | 3/28 [00:02<00:21, 1.14it/s] 14%|█▍ | 4/28 [00:03<00:21, 1.11it/s] 18%|█▊ | 5/28 [00:04<00:21, 1.09it/s] 21%|██▏ | 6/28 [00:05<00:20, 1.08it/s] 25%|██▌ | 7/28 [00:06<00:19, 1.08it/s] 29%|██▊ | 8/28 [00:07<00:18, 1.07it/s] 32%|███▏ | 9/28 [00:08<00:17, 1.07it/s] 36%|███▌ | 10/28 [00:09<00:16, 1.07it/s] 39%|███▉ | 11/28 [00:10<00:15, 1.07it/s] 43%|████▎ | 12/28 [00:11<00:15, 1.07it/s] 46%|████▋ | 13/28 [00:12<00:14, 1.07it/s] 50%|█████ | 14/28 [00:12<00:13, 1.07it/s] 54%|█████▎ | 15/28 [00:13<00:12, 1.06it/s] 57%|█████▋ | 16/28 [00:14<00:11, 1.06it/s] 61%|██████ | 17/28 [00:15<00:10, 1.06it/s] 64%|██████▍ | 18/28 [00:16<00:09, 1.06it/s] 68%|██████▊ | 19/28 [00:17<00:08, 1.06it/s] 71%|███████▏ | 20/28 [00:18<00:07, 1.06it/s] 75%|███████▌ | 21/28 [00:19<00:06, 1.06it/s] 79%|███████▊ | 22/28 [00:20<00:05, 1.07it/s] 82%|████████▏ | 23/28 [00:21<00:04, 1.07it/s] 86%|████████▌ | 24/28 [00:22<00:03, 1.07it/s] 89%|████████▉ | 25/28 [00:23<00:02, 1.07it/s] 93%|█████████▎| 26/28 [00:24<00:01, 1.07it/s] 96%|█████████▋| 27/28 [00:25<00:00, 1.07it/s] 100%|██████████| 28/28 [00:26<00:00, 1.07it/s] 100%|██████████| 28/28 [00:26<00:00, 1.07it/s]Prediction
fofr/flux-cassette-futurism:808a3af8caa40ef4ef40244685f1b470a5c05c81b646eb2e20a941f976865b52IDphgenwq819rm40chd8q8bv1tsmStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a cassette futurism photo of a car in a showroom
- lora_scale
- 0.9
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a cassette futurism photo of a car in a showroom", "lora_scale": 0.9, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run fofr/flux-cassette-futurism using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/flux-cassette-futurism:808a3af8caa40ef4ef40244685f1b470a5c05c81b646eb2e20a941f976865b52", { input: { model: "dev", prompt: "a cassette futurism photo of a car in a showroom", lora_scale: 0.9, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 28 } } ); // 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 replicateImport the client:import replicateRun fofr/flux-cassette-futurism using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/flux-cassette-futurism:808a3af8caa40ef4ef40244685f1b470a5c05c81b646eb2e20a941f976865b52", input={ "model": "dev", "prompt": "a cassette futurism photo of a car in a showroom", "lora_scale": 0.9, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run fofr/flux-cassette-futurism 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": "fofr/flux-cassette-futurism:808a3af8caa40ef4ef40244685f1b470a5c05c81b646eb2e20a941f976865b52", "input": { "model": "dev", "prompt": "a cassette futurism photo of a car in a showroom", "lora_scale": 0.9, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-19T10:29:16.909517Z", "created_at": "2024-08-19T10:29:04.650000Z", "data_removed": false, "error": null, "id": "phgenwq819rm40chd8q8bv1tsm", "input": { "model": "dev", "prompt": "a cassette futurism photo of a car in a showroom", "lora_scale": 0.9, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 9140\nPrompt: a cassette futurism photo of a car in a showroom\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nweights already loaded!\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.49it/s]\n 7%|▋ | 2/28 [00:00<00:06, 3.90it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.74it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.67it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.62it/s]\n 21%|██▏ | 6/28 [00:01<00:06, 3.60it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.58it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.57it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.56it/s]\n 36%|███▌ | 10/28 [00:02<00:05, 3.54it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.55it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.55it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.55it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.55it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.55it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.55it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.55it/s]\n 64%|██████▍ | 18/28 [00:05<00:02, 3.55it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.55it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.55it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.55it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.55it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.54it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.54it/s]\n 89%|████████▉ | 25/28 [00:07<00:00, 3.55it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.55it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.55it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.55it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.57it/s]", "metrics": { "predict_time": 8.402337817, "total_time": 12.259517 }, "output": [ "https://replicate.delivery/yhqm/4qga0icCczbFMZtdojr8aqZg7I0Y7OyacM4BD3MGfuQeBNUTA/out-0.webp" ], "started_at": "2024-08-19T10:29:08.507179Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/phgenwq819rm40chd8q8bv1tsm", "cancel": "https://api.replicate.com/v1/predictions/phgenwq819rm40chd8q8bv1tsm/cancel" }, "version": "808a3af8caa40ef4ef40244685f1b470a5c05c81b646eb2e20a941f976865b52" }Generated inUsing seed: 9140 Prompt: a cassette futurism photo of a car in a showroom txt2img mode Using dev model Loading LoRA weights weights already loaded! 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.49it/s] 7%|▋ | 2/28 [00:00<00:06, 3.90it/s] 11%|█ | 3/28 [00:00<00:06, 3.74it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.67it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.62it/s] 21%|██▏ | 6/28 [00:01<00:06, 3.60it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.58it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.57it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.56it/s] 36%|███▌ | 10/28 [00:02<00:05, 3.54it/s] 39%|███▉ | 11/28 [00:03<00:04, 3.55it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.55it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.55it/s] 50%|█████ | 14/28 [00:03<00:03, 3.55it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.55it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.55it/s] 61%|██████ | 17/28 [00:04<00:03, 3.55it/s] 64%|██████▍ | 18/28 [00:05<00:02, 3.55it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.55it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.55it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.55it/s] 79%|███████▊ | 22/28 [00:06<00:01, 3.55it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.54it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.54it/s] 89%|████████▉ | 25/28 [00:07<00:00, 3.55it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.55it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.55it/s] 100%|██████████| 28/28 [00:07<00:00, 3.55it/s] 100%|██████████| 28/28 [00:07<00:00, 3.57it/s]Prediction
fofr/flux-cassette-futurism:808a3af8caa40ef4ef40244685f1b470a5c05c81b646eb2e20a941f976865b52IDj8cwb4y3gxrm00chcyvt5nxxq8StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a cassette futurism photo of a car
- lora_scale
- 0.9
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a cassette futurism photo of a car", "lora_scale": 0.9, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run fofr/flux-cassette-futurism using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/flux-cassette-futurism:808a3af8caa40ef4ef40244685f1b470a5c05c81b646eb2e20a941f976865b52", { input: { model: "dev", prompt: "a cassette futurism photo of a car", lora_scale: 0.9, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 28 } } ); // 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 replicateImport the client:import replicateRun fofr/flux-cassette-futurism using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/flux-cassette-futurism:808a3af8caa40ef4ef40244685f1b470a5c05c81b646eb2e20a941f976865b52", input={ "model": "dev", "prompt": "a cassette futurism photo of a car", "lora_scale": 0.9, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run fofr/flux-cassette-futurism 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": "fofr/flux-cassette-futurism:808a3af8caa40ef4ef40244685f1b470a5c05c81b646eb2e20a941f976865b52", "input": { "model": "dev", "prompt": "a cassette futurism photo of a car", "lora_scale": 0.9, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-18T23:00:56.099357Z", "created_at": "2024-08-18T22:59:42.087000Z", "data_removed": false, "error": null, "id": "j8cwb4y3gxrm00chcyvt5nxxq8", "input": { "model": "dev", "prompt": "a cassette futurism photo of a car", "lora_scale": 0.9, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 49154\nPrompt: a cassette futurism photo of a car\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nEnsuring enough disk space...\nFree disk space: 9533702131712\nDownloading weights\n2024-08-18T23:00:14Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/676c1df52ec7fde7 url=https://replicate.delivery/yhqm/YOL6PqnYHYofFa1ELpCqRgDtbzAfeDlvKyyAVlQw7zcBeJQNB/trained_model.tar\n2024-08-18T23:00:17Z | INFO | [ Complete ] dest=/src/weights-cache/676c1df52ec7fde7 size=\"172 MB\" total_elapsed=3.283s url=https://replicate.delivery/yhqm/YOL6PqnYHYofFa1ELpCqRgDtbzAfeDlvKyyAVlQw7zcBeJQNB/trained_model.tar\nb''\nDownloaded weights in 3.309924364089966 seconds\nLoRA weights loaded successfully\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:27, 1.01s/it]\n 7%|▋ | 2/28 [00:01<00:23, 1.12it/s]\n 11%|█ | 3/28 [00:02<00:23, 1.05it/s]\n 14%|█▍ | 4/28 [00:03<00:23, 1.02it/s]\n 18%|█▊ | 5/28 [00:04<00:22, 1.01it/s]\n 21%|██▏ | 6/28 [00:05<00:22, 1.00s/it]\n 25%|██▌ | 7/28 [00:06<00:21, 1.01s/it]\n 29%|██▊ | 8/28 [00:07<00:20, 1.01s/it]\n 32%|███▏ | 9/28 [00:08<00:19, 1.02s/it]\n 36%|███▌ | 10/28 [00:09<00:18, 1.02s/it]\n 39%|███▉ | 11/28 [00:11<00:17, 1.02s/it]\n 43%|████▎ | 12/28 [00:12<00:16, 1.02s/it]\n 46%|████▋ | 13/28 [00:13<00:15, 1.02s/it]\n 50%|█████ | 14/28 [00:14<00:14, 1.02s/it]\n 54%|█████▎ | 15/28 [00:15<00:13, 1.02s/it]\n 57%|█████▋ | 16/28 [00:16<00:12, 1.02s/it]\n 61%|██████ | 17/28 [00:17<00:11, 1.02s/it]\n 64%|██████▍ | 18/28 [00:18<00:10, 1.02s/it]\n 68%|██████▊ | 19/28 [00:19<00:09, 1.02s/it]\n 71%|███████▏ | 20/28 [00:20<00:08, 1.02s/it]\n 75%|███████▌ | 21/28 [00:21<00:07, 1.03s/it]\n 79%|███████▊ | 22/28 [00:22<00:06, 1.02s/it]\n 82%|████████▏ | 23/28 [00:23<00:05, 1.03s/it]\n 86%|████████▌ | 24/28 [00:24<00:04, 1.03s/it]\n 89%|████████▉ | 25/28 [00:25<00:03, 1.03s/it]\n 93%|█████████▎| 26/28 [00:26<00:02, 1.03s/it]\n 96%|█████████▋| 27/28 [00:27<00:01, 1.03s/it]\n100%|██████████| 28/28 [00:28<00:00, 1.03s/it]\n100%|██████████| 28/28 [00:28<00:00, 1.02s/it]", "metrics": { "predict_time": 42.0046495, "total_time": 74.012357 }, "output": [ "https://replicate.delivery/yhqm/lZeWBoD7eqnHIUCks11CL7ZFQNXJoUFvj8n8dkaXmcJn8CUTA/out-0.webp", "https://replicate.delivery/yhqm/ffOLJrBs02m4fJdEAgTvGB7OYnJD7giNas9zmNsuVO4O5FomA/out-1.webp", "https://replicate.delivery/yhqm/AynN0eXhP509M6mbX1jzkiTbDNfSEw76BblW7Xi9v7Zn8CUTA/out-2.webp", "https://replicate.delivery/yhqm/3olsl2DkPB7fTSGXyJe7XXUqESKLc9u3LqchRGNSNnao8CUTA/out-3.webp" ], "started_at": "2024-08-18T23:00:14.094707Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/j8cwb4y3gxrm00chcyvt5nxxq8", "cancel": "https://api.replicate.com/v1/predictions/j8cwb4y3gxrm00chcyvt5nxxq8/cancel" }, "version": "808a3af8caa40ef4ef40244685f1b470a5c05c81b646eb2e20a941f976865b52" }Generated inUsing seed: 49154 Prompt: a cassette futurism photo of a car txt2img mode Using dev model Loading LoRA weights Ensuring enough disk space... Free disk space: 9533702131712 Downloading weights 2024-08-18T23:00:14Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/676c1df52ec7fde7 url=https://replicate.delivery/yhqm/YOL6PqnYHYofFa1ELpCqRgDtbzAfeDlvKyyAVlQw7zcBeJQNB/trained_model.tar 2024-08-18T23:00:17Z | INFO | [ Complete ] dest=/src/weights-cache/676c1df52ec7fde7 size="172 MB" total_elapsed=3.283s url=https://replicate.delivery/yhqm/YOL6PqnYHYofFa1ELpCqRgDtbzAfeDlvKyyAVlQw7zcBeJQNB/trained_model.tar b'' Downloaded weights in 3.309924364089966 seconds LoRA weights loaded successfully 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:27, 1.01s/it] 7%|▋ | 2/28 [00:01<00:23, 1.12it/s] 11%|█ | 3/28 [00:02<00:23, 1.05it/s] 14%|█▍ | 4/28 [00:03<00:23, 1.02it/s] 18%|█▊ | 5/28 [00:04<00:22, 1.01it/s] 21%|██▏ | 6/28 [00:05<00:22, 1.00s/it] 25%|██▌ | 7/28 [00:06<00:21, 1.01s/it] 29%|██▊ | 8/28 [00:07<00:20, 1.01s/it] 32%|███▏ | 9/28 [00:08<00:19, 1.02s/it] 36%|███▌ | 10/28 [00:09<00:18, 1.02s/it] 39%|███▉ | 11/28 [00:11<00:17, 1.02s/it] 43%|████▎ | 12/28 [00:12<00:16, 1.02s/it] 46%|████▋ | 13/28 [00:13<00:15, 1.02s/it] 50%|█████ | 14/28 [00:14<00:14, 1.02s/it] 54%|█████▎ | 15/28 [00:15<00:13, 1.02s/it] 57%|█████▋ | 16/28 [00:16<00:12, 1.02s/it] 61%|██████ | 17/28 [00:17<00:11, 1.02s/it] 64%|██████▍ | 18/28 [00:18<00:10, 1.02s/it] 68%|██████▊ | 19/28 [00:19<00:09, 1.02s/it] 71%|███████▏ | 20/28 [00:20<00:08, 1.02s/it] 75%|███████▌ | 21/28 [00:21<00:07, 1.03s/it] 79%|███████▊ | 22/28 [00:22<00:06, 1.02s/it] 82%|████████▏ | 23/28 [00:23<00:05, 1.03s/it] 86%|████████▌ | 24/28 [00:24<00:04, 1.03s/it] 89%|████████▉ | 25/28 [00:25<00:03, 1.03s/it] 93%|█████████▎| 26/28 [00:26<00:02, 1.03s/it] 96%|█████████▋| 27/28 [00:27<00:01, 1.03s/it] 100%|██████████| 28/28 [00:28<00:00, 1.03s/it] 100%|██████████| 28/28 [00:28<00:00, 1.02s/it]Prediction
fofr/flux-cassette-futurism:808a3af8caa40ef4ef40244685f1b470a5c05c81b646eb2e20a941f976865b52IDzry7yxt6wxrm40chcyxa1x15dmStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a cassette futurism marketing photo of a car interior with a crt tv
- lora_scale
- 0.9
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a cassette futurism marketing photo of a car interior with a crt tv", "lora_scale": 0.9, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run fofr/flux-cassette-futurism using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/flux-cassette-futurism:808a3af8caa40ef4ef40244685f1b470a5c05c81b646eb2e20a941f976865b52", { input: { model: "dev", prompt: "a cassette futurism marketing photo of a car interior with a crt tv", lora_scale: 0.9, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 28 } } ); // 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 replicateImport the client:import replicateRun fofr/flux-cassette-futurism using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/flux-cassette-futurism:808a3af8caa40ef4ef40244685f1b470a5c05c81b646eb2e20a941f976865b52", input={ "model": "dev", "prompt": "a cassette futurism marketing photo of a car interior with a crt tv", "lora_scale": 0.9, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run fofr/flux-cassette-futurism 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": "fofr/flux-cassette-futurism:808a3af8caa40ef4ef40244685f1b470a5c05c81b646eb2e20a941f976865b52", "input": { "model": "dev", "prompt": "a cassette futurism marketing photo of a car interior with a crt tv", "lora_scale": 0.9, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-18T23:02:35.176026Z", "created_at": "2024-08-18T23:02:26.791000Z", "data_removed": false, "error": null, "id": "zry7yxt6wxrm40chcyxa1x15dm", "input": { "model": "dev", "prompt": "a cassette futurism marketing photo of a car interior with a crt tv", "lora_scale": 0.9, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 31925\nPrompt: a cassette futurism marketing photo of a car interior with a crt tv\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nweights already loaded!\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.54it/s]\n 7%|▋ | 2/28 [00:00<00:06, 3.98it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.76it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.67it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.63it/s]\n 21%|██▏ | 6/28 [00:01<00:06, 3.61it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.58it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.57it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.57it/s]\n 36%|███▌ | 10/28 [00:02<00:05, 3.56it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.55it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.53it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.56it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.56it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.55it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.55it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.55it/s]\n 64%|██████▍ | 18/28 [00:05<00:02, 3.55it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.55it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.55it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.55it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.55it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.54it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.54it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.55it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.55it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.54it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.54it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.57it/s]", "metrics": { "predict_time": 8.35002303, "total_time": 8.385026 }, "output": [ "https://replicate.delivery/yhqm/EJs3dWlGIULQAF06IPOjbPpBsB1J6VcsxXHHe7sWyXrFfCUTA/out-0.webp" ], "started_at": "2024-08-18T23:02:26.826003Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/zry7yxt6wxrm40chcyxa1x15dm", "cancel": "https://api.replicate.com/v1/predictions/zry7yxt6wxrm40chcyxa1x15dm/cancel" }, "version": "808a3af8caa40ef4ef40244685f1b470a5c05c81b646eb2e20a941f976865b52" }Generated inUsing seed: 31925 Prompt: a cassette futurism marketing photo of a car interior with a crt tv txt2img mode Using dev model Loading LoRA weights weights already loaded! 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.54it/s] 7%|▋ | 2/28 [00:00<00:06, 3.98it/s] 11%|█ | 3/28 [00:00<00:06, 3.76it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.67it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.63it/s] 21%|██▏ | 6/28 [00:01<00:06, 3.61it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.58it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.57it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.57it/s] 36%|███▌ | 10/28 [00:02<00:05, 3.56it/s] 39%|███▉ | 11/28 [00:03<00:04, 3.55it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.53it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.56it/s] 50%|█████ | 14/28 [00:03<00:03, 3.56it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.55it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.55it/s] 61%|██████ | 17/28 [00:04<00:03, 3.55it/s] 64%|██████▍ | 18/28 [00:05<00:02, 3.55it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.55it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.55it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.55it/s] 79%|███████▊ | 22/28 [00:06<00:01, 3.55it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.54it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.54it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.55it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.55it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.54it/s] 100%|██████████| 28/28 [00:07<00:00, 3.54it/s] 100%|██████████| 28/28 [00:07<00:00, 3.57it/s]Prediction
fofr/flux-cassette-futurism:808a3af8caa40ef4ef40244685f1b470a5c05c81b646eb2e20a941f976865b52IDan9h2z1ha1rm40chcyztcd302mStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a cassette futurism marketing photo of a bipedal robot in a living room
- lora_scale
- 0.9
- num_outputs
- 1
- aspect_ratio
- 2:3
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a cassette futurism marketing photo of a bipedal robot in a living room", "lora_scale": 0.9, "num_outputs": 1, "aspect_ratio": "2:3", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run fofr/flux-cassette-futurism using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/flux-cassette-futurism:808a3af8caa40ef4ef40244685f1b470a5c05c81b646eb2e20a941f976865b52", { input: { model: "dev", prompt: "a cassette futurism marketing photo of a bipedal robot in a living room", lora_scale: 0.9, num_outputs: 1, aspect_ratio: "2:3", output_format: "webp", guidance_scale: 3.5, output_quality: 80, num_inference_steps: 28 } } ); // 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 replicateImport the client:import replicateRun fofr/flux-cassette-futurism using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/flux-cassette-futurism:808a3af8caa40ef4ef40244685f1b470a5c05c81b646eb2e20a941f976865b52", input={ "model": "dev", "prompt": "a cassette futurism marketing photo of a bipedal robot in a living room", "lora_scale": 0.9, "num_outputs": 1, "aspect_ratio": "2:3", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run fofr/flux-cassette-futurism 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": "fofr/flux-cassette-futurism:808a3af8caa40ef4ef40244685f1b470a5c05c81b646eb2e20a941f976865b52", "input": { "model": "dev", "prompt": "a cassette futurism marketing photo of a bipedal robot in a living room", "lora_scale": 0.9, "num_outputs": 1, "aspect_ratio": "2:3", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-18T23:08:51.676469Z", "created_at": "2024-08-18T23:07:48.944000Z", "data_removed": false, "error": null, "id": "an9h2z1ha1rm40chcyztcd302m", "input": { "model": "dev", "prompt": "a cassette futurism marketing photo of a bipedal robot in a living room", "lora_scale": 0.9, "num_outputs": 1, "aspect_ratio": "2:3", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 58380\nPrompt: a cassette futurism marketing photo of a bipedal robot in a living room\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nEnsuring enough disk space...\nFree disk space: 9498369572864\nDownloading weights\n2024-08-18T23:08:32Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/676c1df52ec7fde7 url=https://replicate.delivery/yhqm/YOL6PqnYHYofFa1ELpCqRgDtbzAfeDlvKyyAVlQw7zcBeJQNB/trained_model.tar\n2024-08-18T23:08:34Z | INFO | [ Complete ] dest=/src/weights-cache/676c1df52ec7fde7 size=\"172 MB\" total_elapsed=2.664s url=https://replicate.delivery/yhqm/YOL6PqnYHYofFa1ELpCqRgDtbzAfeDlvKyyAVlQw7zcBeJQNB/trained_model.tar\nb''\nDownloaded weights in 2.69819974899292 seconds\nLoRA weights loaded successfully\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.62it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.05it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.85it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.76it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.72it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.69it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.65it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.65it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.65it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.65it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.65it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.65it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.64it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.65it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.65it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.64it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.64it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.64it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.64it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.64it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.64it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.65it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.65it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.65it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.65it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.65it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.65it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.65it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.66it/s]", "metrics": { "predict_time": 19.535866724999998, "total_time": 62.732469 }, "output": [ "https://replicate.delivery/yhqm/cpXnzWUayL6XP5oBuxCrag7yfI8bBhCvSkY52I6LIquBiBqJA/out-0.webp" ], "started_at": "2024-08-18T23:08:32.140602Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/an9h2z1ha1rm40chcyztcd302m", "cancel": "https://api.replicate.com/v1/predictions/an9h2z1ha1rm40chcyztcd302m/cancel" }, "version": "808a3af8caa40ef4ef40244685f1b470a5c05c81b646eb2e20a941f976865b52" }Generated inUsing seed: 58380 Prompt: a cassette futurism marketing photo of a bipedal robot in a living room txt2img mode Using dev model Loading LoRA weights Ensuring enough disk space... Free disk space: 9498369572864 Downloading weights 2024-08-18T23:08:32Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/676c1df52ec7fde7 url=https://replicate.delivery/yhqm/YOL6PqnYHYofFa1ELpCqRgDtbzAfeDlvKyyAVlQw7zcBeJQNB/trained_model.tar 2024-08-18T23:08:34Z | INFO | [ Complete ] dest=/src/weights-cache/676c1df52ec7fde7 size="172 MB" total_elapsed=2.664s url=https://replicate.delivery/yhqm/YOL6PqnYHYofFa1ELpCqRgDtbzAfeDlvKyyAVlQw7zcBeJQNB/trained_model.tar b'' Downloaded weights in 2.69819974899292 seconds LoRA weights loaded successfully 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.62it/s] 7%|▋ | 2/28 [00:00<00:06, 4.05it/s] 11%|█ | 3/28 [00:00<00:06, 3.85it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.76it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.72it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.69it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.65it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.65it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.65it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.65it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.65it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.65it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.64it/s] 50%|█████ | 14/28 [00:03<00:03, 3.65it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.65it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.64it/s] 61%|██████ | 17/28 [00:04<00:03, 3.64it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.64it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.64it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.64it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.64it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.65it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.65it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.65it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.65it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.65it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.65it/s] 100%|██████████| 28/28 [00:07<00:00, 3.65it/s] 100%|██████████| 28/28 [00:07<00:00, 3.66it/s]
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