datacte / flux-aesthetic-anime
Flux lora, trained on the unique style and aesthetic of ghibli retro anime
- Public
- 55.7K runs
- Paper
Prediction
datacte/flux-aesthetic-anime:2c3677b83922a0ac99493467805fb0259f55c4f4f7b1988b1dd1d92f083a8304ID4q1502w7pnrm20chk27ssg9334StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- anime girl
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "anime girl", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run datacte/flux-aesthetic-anime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "datacte/flux-aesthetic-anime:2c3677b83922a0ac99493467805fb0259f55c4f4f7b1988b1dd1d92f083a8304", { input: { model: "dev", prompt: "anime girl", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, 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 datacte/flux-aesthetic-anime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "datacte/flux-aesthetic-anime:2c3677b83922a0ac99493467805fb0259f55c4f4f7b1988b1dd1d92f083a8304", input={ "model": "dev", "prompt": "anime girl", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run datacte/flux-aesthetic-anime 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": "datacte/flux-aesthetic-anime:2c3677b83922a0ac99493467805fb0259f55c4f4f7b1988b1dd1d92f083a8304", "input": { "model": "dev", "prompt": "anime girl", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "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": "2024-08-28T10:37:38.203113Z", "created_at": "2024-08-28T10:37:08.917000Z", "data_removed": false, "error": null, "id": "4q1502w7pnrm20chk27ssg9334", "input": { "model": "dev", "prompt": "anime girl", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 19282\nPrompt: anime girl\ntxt2img mode\nUsing dev model\nfree=9552568627200\nDownloading weights\n2024-08-28T10:37:19Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpoe4w26si/weights url=https://replicate.delivery/yhqm/Nf0VeI20eEAnHI1a0gMxD6wkUbnWamW1iM8nLMGkIcVV6VumA/trained_model.tar\n2024-08-28T10:37:20Z | INFO | [ Complete ] dest=/tmp/tmpoe4w26si/weights size=\"172 MB\" total_elapsed=1.867s url=https://replicate.delivery/yhqm/Nf0VeI20eEAnHI1a0gMxD6wkUbnWamW1iM8nLMGkIcVV6VumA/trained_model.tar\nDownloaded weights in 1.90s\nLoaded LoRAs in 11.04s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.66it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.20it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.94it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.84it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.77it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.73it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.71it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.70it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.69it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.67it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.68it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.68it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.67it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.66it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.67it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.67it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.67it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.66it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.66it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.67it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.66it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.66it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.67it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.67it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.67it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.66it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.67it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.67it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.69it/s]", "metrics": { "predict_time": 19.163852223, "total_time": 29.286113 }, "output": [ "https://replicate.delivery/yhqm/go4yhl9NaBpkGlwP4XLDkouQA3QffHkWkBwCJ8JTie5lfrcNB/out-0.webp" ], "started_at": "2024-08-28T10:37:19.039261Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/4q1502w7pnrm20chk27ssg9334", "cancel": "https://api.replicate.com/v1/predictions/4q1502w7pnrm20chk27ssg9334/cancel" }, "version": "2c3677b83922a0ac99493467805fb0259f55c4f4f7b1988b1dd1d92f083a8304" }Generated inUsing seed: 19282 Prompt: anime girl txt2img mode Using dev model free=9552568627200 Downloading weights 2024-08-28T10:37:19Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpoe4w26si/weights url=https://replicate.delivery/yhqm/Nf0VeI20eEAnHI1a0gMxD6wkUbnWamW1iM8nLMGkIcVV6VumA/trained_model.tar 2024-08-28T10:37:20Z | INFO | [ Complete ] dest=/tmp/tmpoe4w26si/weights size="172 MB" total_elapsed=1.867s url=https://replicate.delivery/yhqm/Nf0VeI20eEAnHI1a0gMxD6wkUbnWamW1iM8nLMGkIcVV6VumA/trained_model.tar Downloaded weights in 1.90s Loaded LoRAs in 11.04s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.66it/s] 7%|▋ | 2/28 [00:00<00:06, 4.20it/s] 11%|█ | 3/28 [00:00<00:06, 3.94it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.84it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.77it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.73it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.71it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.70it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.69it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.67it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.68it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.68it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.67it/s] 50%|█████ | 14/28 [00:03<00:03, 3.66it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.67it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.67it/s] 61%|██████ | 17/28 [00:04<00:03, 3.67it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.66it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.66it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.67it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.66it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.66it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.67it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.67it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.67it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.66it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.67it/s] 100%|██████████| 28/28 [00:07<00:00, 3.67it/s] 100%|██████████| 28/28 [00:07<00:00, 3.69it/s]Prediction
datacte/flux-aesthetic-anime:2c3677b83922a0ac99493467805fb0259f55c4f4f7b1988b1dd1d92f083a8304ID1emfy6bkaxrm40chk288858ffgStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- 1813 rustic rural town with a steam train going through the middle of it, aerial view, bustling, steampunk anime, studio ghibli
- lora_scale
- 0.9
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "1813 rustic rural town with a steam train going through the middle of it, aerial view, bustling, steampunk anime, studio ghibli", "lora_scale": 0.9, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run datacte/flux-aesthetic-anime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "datacte/flux-aesthetic-anime:2c3677b83922a0ac99493467805fb0259f55c4f4f7b1988b1dd1d92f083a8304", { input: { model: "dev", prompt: "1813 rustic rural town with a steam train going through the middle of it, aerial view, bustling, steampunk anime, studio ghibli", lora_scale: 0.9, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, 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 datacte/flux-aesthetic-anime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "datacte/flux-aesthetic-anime:2c3677b83922a0ac99493467805fb0259f55c4f4f7b1988b1dd1d92f083a8304", input={ "model": "dev", "prompt": "1813 rustic rural town with a steam train going through the middle of it, aerial view, bustling, steampunk anime, studio ghibli", "lora_scale": 0.9, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run datacte/flux-aesthetic-anime 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": "datacte/flux-aesthetic-anime:2c3677b83922a0ac99493467805fb0259f55c4f4f7b1988b1dd1d92f083a8304", "input": { "model": "dev", "prompt": "1813 rustic rural town with a steam train going through the middle of it, aerial view, bustling, steampunk anime, studio ghibli", "lora_scale": 0.9, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "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": "2024-08-28T10:38:37.438839Z", "created_at": "2024-08-28T10:38:09.239000Z", "data_removed": false, "error": null, "id": "1emfy6bkaxrm40chk288858ffg", "input": { "model": "dev", "prompt": "1813 rustic rural town with a steam train going through the middle of it, aerial view, bustling, steampunk anime, studio ghibli", "lora_scale": 0.9, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 27449\nPrompt: 1813 rustic rural town with a steam train going through the middle of it, aerial view, bustling, steampunk anime, studio ghibli\ntxt2img mode\nUsing dev model\nfree=9405055967232\nDownloading weights\n2024-08-28T10:38:17Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp3mzlto8e/weights url=https://replicate.delivery/yhqm/Nf0VeI20eEAnHI1a0gMxD6wkUbnWamW1iM8nLMGkIcVV6VumA/trained_model.tar\n2024-08-28T10:38:20Z | INFO | [ Complete ] dest=/tmp/tmp3mzlto8e/weights size=\"172 MB\" total_elapsed=3.269s url=https://replicate.delivery/yhqm/Nf0VeI20eEAnHI1a0gMxD6wkUbnWamW1iM8nLMGkIcVV6VumA/trained_model.tar\nDownloaded weights in 3.37s\nLoaded LoRAs in 11.72s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.58it/s]\n 7%|▋ | 2/28 [00:00<00:06, 3.98it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.78it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.69it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.64it/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, 3.58it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.56it/s]\n 36%|███▌ | 10/28 [00:02<00:05, 3.57it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.56it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.56it/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, 3.57it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.57it/s]\n 64%|██████▍ | 18/28 [00:05<00:02, 3.57it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.57it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.56it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.57it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.56it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.57it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.57it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.57it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.57it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.57it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.57it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.58it/s]", "metrics": { "predict_time": 20.095334283, "total_time": 28.199839 }, "output": [ "https://replicate.delivery/yhqm/8QeOJlVCiRViECgrxyrlfkkZHkVjqOSRkngnsMq88UVtALXTA/out-0.webp" ], "started_at": "2024-08-28T10:38:17.343505Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/1emfy6bkaxrm40chk288858ffg", "cancel": "https://api.replicate.com/v1/predictions/1emfy6bkaxrm40chk288858ffg/cancel" }, "version": "2c3677b83922a0ac99493467805fb0259f55c4f4f7b1988b1dd1d92f083a8304" }Generated inUsing seed: 27449 Prompt: 1813 rustic rural town with a steam train going through the middle of it, aerial view, bustling, steampunk anime, studio ghibli txt2img mode Using dev model free=9405055967232 Downloading weights 2024-08-28T10:38:17Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp3mzlto8e/weights url=https://replicate.delivery/yhqm/Nf0VeI20eEAnHI1a0gMxD6wkUbnWamW1iM8nLMGkIcVV6VumA/trained_model.tar 2024-08-28T10:38:20Z | INFO | [ Complete ] dest=/tmp/tmp3mzlto8e/weights size="172 MB" total_elapsed=3.269s url=https://replicate.delivery/yhqm/Nf0VeI20eEAnHI1a0gMxD6wkUbnWamW1iM8nLMGkIcVV6VumA/trained_model.tar Downloaded weights in 3.37s Loaded LoRAs in 11.72s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.58it/s] 7%|▋ | 2/28 [00:00<00:06, 3.98it/s] 11%|█ | 3/28 [00:00<00:06, 3.78it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.69it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.64it/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, 3.58it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.56it/s] 36%|███▌ | 10/28 [00:02<00:05, 3.57it/s] 39%|███▉ | 11/28 [00:03<00:04, 3.56it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.56it/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, 3.57it/s] 61%|██████ | 17/28 [00:04<00:03, 3.57it/s] 64%|██████▍ | 18/28 [00:05<00:02, 3.57it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.57it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.56it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.57it/s] 79%|███████▊ | 22/28 [00:06<00:01, 3.56it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.57it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.57it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.57it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.57it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.57it/s] 100%|██████████| 28/28 [00:07<00:00, 3.57it/s] 100%|██████████| 28/28 [00:07<00:00, 3.58it/s]
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