janghaludu / kocchaga
Flux finetune that is trained on Glitches generated by a Processing Script ( In Readme ), WIP.
- Public
- 1K runs
- License
Prediction
janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821dIDaq5yx3d1d5rm40chmdct84838rStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- P5GLTKH style composition of P5GLTKH SHPS Arizona Desert
- extra_lora
- andreasjansson/flux-shapes
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 100
- extra_lora_scale
- 0.66
- num_inference_steps
- 28
{ "model": "dev", "prompt": "P5GLTKH style composition of P5GLTKH SHPS Arizona Desert", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.66, "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 janghaludu/kocchaga using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", { input: { model: "dev", prompt: "P5GLTKH style composition of P5GLTKH SHPS Arizona Desert", extra_lora: "andreasjansson/flux-shapes", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 100, extra_lora_scale: 0.66, 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 janghaludu/kocchaga using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", input={ "model": "dev", "prompt": "P5GLTKH style composition of P5GLTKH SHPS Arizona Desert", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.66, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run janghaludu/kocchaga 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": "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", "input": { "model": "dev", "prompt": "P5GLTKH style composition of P5GLTKH SHPS Arizona Desert", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.66, "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": "2024-08-30T12:54:54.705167Z", "created_at": "2024-08-30T12:54:05.929000Z", "data_removed": false, "error": null, "id": "aq5yx3d1d5rm40chmdct84838r", "input": { "model": "dev", "prompt": "P5GLTKH style composition of P5GLTKH SHPS Arizona Desert", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.66, "num_inference_steps": 28 }, "logs": "Using seed: 7244\nPrompt: P5GLTKH style composition of P5GLTKH SHPS Arizona Desert\ntxt2img mode\nUsing dev model\nLoading extra LoRA weights from: andreasjansson/flux-shapes\nLoaded LoRAs in 27.62s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:08, 3.17it/s]\n 7%|▋ | 2/28 [00:00<00:07, 3.49it/s]\n 11%|█ | 3/28 [00:00<00:07, 3.33it/s]\n 14%|█▍ | 4/28 [00:01<00:07, 3.26it/s]\n 18%|█▊ | 5/28 [00:01<00:07, 3.23it/s]\n 21%|██▏ | 6/28 [00:01<00:06, 3.20it/s]\n 25%|██▌ | 7/28 [00:02<00:06, 3.19it/s]\n 29%|██▊ | 8/28 [00:02<00:06, 3.18it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.17it/s]\n 36%|███▌ | 10/28 [00:03<00:05, 3.17it/s]\n 39%|███▉ | 11/28 [00:03<00:05, 3.17it/s]\n 43%|████▎ | 12/28 [00:03<00:05, 3.17it/s]\n 46%|████▋ | 13/28 [00:04<00:04, 3.16it/s]\n 50%|█████ | 14/28 [00:04<00:04, 3.16it/s]\n 54%|█████▎ | 15/28 [00:04<00:04, 3.16it/s]\n 57%|█████▋ | 16/28 [00:05<00:03, 3.16it/s]\n 61%|██████ | 17/28 [00:05<00:03, 3.16it/s]\n 64%|██████▍ | 18/28 [00:05<00:03, 3.16it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.16it/s]\n 71%|███████▏ | 20/28 [00:06<00:02, 3.16it/s]\n 75%|███████▌ | 21/28 [00:06<00:02, 3.16it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.16it/s]\n 82%|████████▏ | 23/28 [00:07<00:01, 3.16it/s]\n 86%|████████▌ | 24/28 [00:07<00:01, 3.16it/s]\n 89%|████████▉ | 25/28 [00:07<00:00, 3.16it/s]\n 93%|█████████▎| 26/28 [00:08<00:00, 3.16it/s]\n 96%|█████████▋| 27/28 [00:08<00:00, 3.16it/s]\n100%|██████████| 28/28 [00:08<00:00, 3.16it/s]\n100%|██████████| 28/28 [00:08<00:00, 3.18it/s]", "metrics": { "predict_time": 37.019734497, "total_time": 48.776167 }, "output": [ "https://replicate.delivery/yhqm/9rxWMVgKAdZ5FhEdw8eQJYsuaAPfNhFPm9NpAKDeiep4xcfaC/out-0.webp" ], "started_at": "2024-08-30T12:54:17.685433Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/aq5yx3d1d5rm40chmdct84838r", "cancel": "https://api.replicate.com/v1/predictions/aq5yx3d1d5rm40chmdct84838r/cancel" }, "version": "ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d" }Generated inUsing seed: 7244 Prompt: P5GLTKH style composition of P5GLTKH SHPS Arizona Desert txt2img mode Using dev model Loading extra LoRA weights from: andreasjansson/flux-shapes Loaded LoRAs in 27.62s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:08, 3.17it/s] 7%|▋ | 2/28 [00:00<00:07, 3.49it/s] 11%|█ | 3/28 [00:00<00:07, 3.33it/s] 14%|█▍ | 4/28 [00:01<00:07, 3.26it/s] 18%|█▊ | 5/28 [00:01<00:07, 3.23it/s] 21%|██▏ | 6/28 [00:01<00:06, 3.20it/s] 25%|██▌ | 7/28 [00:02<00:06, 3.19it/s] 29%|██▊ | 8/28 [00:02<00:06, 3.18it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.17it/s] 36%|███▌ | 10/28 [00:03<00:05, 3.17it/s] 39%|███▉ | 11/28 [00:03<00:05, 3.17it/s] 43%|████▎ | 12/28 [00:03<00:05, 3.17it/s] 46%|████▋ | 13/28 [00:04<00:04, 3.16it/s] 50%|█████ | 14/28 [00:04<00:04, 3.16it/s] 54%|█████▎ | 15/28 [00:04<00:04, 3.16it/s] 57%|█████▋ | 16/28 [00:05<00:03, 3.16it/s] 61%|██████ | 17/28 [00:05<00:03, 3.16it/s] 64%|██████▍ | 18/28 [00:05<00:03, 3.16it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.16it/s] 71%|███████▏ | 20/28 [00:06<00:02, 3.16it/s] 75%|███████▌ | 21/28 [00:06<00:02, 3.16it/s] 79%|███████▊ | 22/28 [00:06<00:01, 3.16it/s] 82%|████████▏ | 23/28 [00:07<00:01, 3.16it/s] 86%|████████▌ | 24/28 [00:07<00:01, 3.16it/s] 89%|████████▉ | 25/28 [00:07<00:00, 3.16it/s] 93%|█████████▎| 26/28 [00:08<00:00, 3.16it/s] 96%|█████████▋| 27/28 [00:08<00:00, 3.16it/s] 100%|██████████| 28/28 [00:08<00:00, 3.16it/s] 100%|██████████| 28/28 [00:08<00:00, 3.18it/s]Prediction
janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821dID7k3w5s6ws5rm40chmdea5752prStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- P5GLTKH SHPS composition, Ultra minimalist Constructivism, P5GLTKH style tropical village
- extra_lora
- andreasjansson/flux-shapes
- lora_scale
- 0.7
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 100
- extra_lora_scale
- 0.7
- num_inference_steps
- 28
{ "model": "dev", "prompt": "P5GLTKH SHPS composition, Ultra minimalist Constructivism, P5GLTKH style tropical village\n", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 0.7, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.7, "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 janghaludu/kocchaga using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", { input: { model: "dev", prompt: "P5GLTKH SHPS composition, Ultra minimalist Constructivism, P5GLTKH style tropical village\n", extra_lora: "andreasjansson/flux-shapes", lora_scale: 0.7, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 100, extra_lora_scale: 0.7, 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 janghaludu/kocchaga using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", input={ "model": "dev", "prompt": "P5GLTKH SHPS composition, Ultra minimalist Constructivism, P5GLTKH style tropical village\n", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 0.7, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.7, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run janghaludu/kocchaga 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": "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", "input": { "model": "dev", "prompt": "P5GLTKH SHPS composition, Ultra minimalist Constructivism, P5GLTKH style tropical village\\n", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 0.7, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.7, "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": "2024-08-30T12:58:41.799555Z", "created_at": "2024-08-30T12:57:37.737000Z", "data_removed": false, "error": null, "id": "7k3w5s6ws5rm40chmdea5752pr", "input": { "model": "dev", "prompt": "P5GLTKH SHPS composition, Ultra minimalist Constructivism, P5GLTKH style tropical village\n", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 0.7, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.7, "num_inference_steps": 28 }, "logs": "Using seed: 36448\nPrompt: P5GLTKH SHPS composition, Ultra minimalist Constructivism, P5GLTKH style tropical village\ntxt2img mode\nUsing dev model\nLoading extra LoRA weights from: andreasjansson/flux-shapes\nfree=9651701047296\nDownloading weights\n2024-08-30T12:57:53Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpmyzux5bk/weights url=https://replicate.com/andreasjansson/flux-shapes/_weights\n2024-08-30T12:57:54Z | INFO | [ Redirect ] redirect_url=https://replicate.delivery/yhqm/3iisiVryWZr4C1oaVHZys6Q8gIaGquFEpeHjc68wioMpzgqJA/trained_model.tar url=https://replicate.com/andreasjansson/flux-shapes/_weights\n2024-08-30T12:57:55Z | INFO | [ Complete ] dest=/tmp/tmpmyzux5bk/weights size=\"172 MB\" total_elapsed=1.714s url=https://replicate.com/andreasjansson/flux-shapes/_weights\nDownloaded weights in 1.75s\nLoaded LoRAs in 30.09s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:30, 1.15s/it]\n 7%|▋ | 2/28 [00:02<00:27, 1.05s/it]\n 11%|█ | 3/28 [00:03<00:27, 1.09s/it]\n 14%|█▍ | 4/28 [00:04<00:26, 1.12s/it]\n 18%|█▊ | 5/28 [00:05<00:25, 1.13s/it]\n 21%|██▏ | 6/28 [00:06<00:25, 1.14s/it]\n 25%|██▌ | 7/28 [00:07<00:23, 1.14s/it]\n 29%|██▊ | 8/28 [00:09<00:22, 1.15s/it]\n 32%|███▏ | 9/28 [00:10<00:21, 1.15s/it]\n 36%|███▌ | 10/28 [00:11<00:20, 1.15s/it]\n 39%|███▉ | 11/28 [00:12<00:19, 1.15s/it]\n 43%|████▎ | 12/28 [00:13<00:18, 1.15s/it]\n 46%|████▋ | 13/28 [00:14<00:17, 1.16s/it]\n 50%|█████ | 14/28 [00:15<00:16, 1.16s/it]\n 54%|█████▎ | 15/28 [00:17<00:15, 1.15s/it]\n 57%|█████▋ | 16/28 [00:18<00:13, 1.16s/it]\n 61%|██████ | 17/28 [00:19<00:12, 1.16s/it]\n 64%|██████▍ | 18/28 [00:20<00:11, 1.16s/it]\n 68%|██████▊ | 19/28 [00:21<00:10, 1.16s/it]\n 71%|███████▏ | 20/28 [00:22<00:09, 1.16s/it]\n 75%|███████▌ | 21/28 [00:24<00:08, 1.16s/it]\n 79%|███████▊ | 22/28 [00:25<00:06, 1.16s/it]\n 82%|████████▏ | 23/28 [00:26<00:05, 1.16s/it]\n 86%|████████▌ | 24/28 [00:27<00:04, 1.16s/it]\n 89%|████████▉ | 25/28 [00:28<00:03, 1.16s/it]\n 93%|█████████▎| 26/28 [00:29<00:02, 1.16s/it]\n 96%|█████████▋| 27/28 [00:31<00:01, 1.16s/it]\n100%|██████████| 28/28 [00:32<00:00, 1.16s/it]\n100%|██████████| 28/28 [00:32<00:00, 1.15s/it]", "metrics": { "predict_time": 64.056850678, "total_time": 64.062555 }, "output": [ "https://replicate.delivery/yhqm/YMBEnAZAAGpLBFM65j2HV8e34eHe0Bhqk8zCI7GIefFNA6e1E/out-0.webp", "https://replicate.delivery/yhqm/NbeEajhKQfmA7UMyvkaNckIeQeXhkMDjh0nKdFH0WuDFAdfaC/out-1.webp", "https://replicate.delivery/yhqm/pgeiqSk23eqkc00un5hRml0B1uGYHfqxmBm9uc8UNHWDguvmA/out-2.webp", "https://replicate.delivery/yhqm/7LiPlJBgoD7PN5n5V0BB57HvUGjcOExrc8YOImeqjlqAo7rJA/out-3.webp" ], "started_at": "2024-08-30T12:57:37.742704Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/7k3w5s6ws5rm40chmdea5752pr", "cancel": "https://api.replicate.com/v1/predictions/7k3w5s6ws5rm40chmdea5752pr/cancel" }, "version": "ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d" }Generated inUsing seed: 36448 Prompt: P5GLTKH SHPS composition, Ultra minimalist Constructivism, P5GLTKH style tropical village txt2img mode Using dev model Loading extra LoRA weights from: andreasjansson/flux-shapes free=9651701047296 Downloading weights 2024-08-30T12:57:53Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpmyzux5bk/weights url=https://replicate.com/andreasjansson/flux-shapes/_weights 2024-08-30T12:57:54Z | INFO | [ Redirect ] redirect_url=https://replicate.delivery/yhqm/3iisiVryWZr4C1oaVHZys6Q8gIaGquFEpeHjc68wioMpzgqJA/trained_model.tar url=https://replicate.com/andreasjansson/flux-shapes/_weights 2024-08-30T12:57:55Z | INFO | [ Complete ] dest=/tmp/tmpmyzux5bk/weights size="172 MB" total_elapsed=1.714s url=https://replicate.com/andreasjansson/flux-shapes/_weights Downloaded weights in 1.75s Loaded LoRAs in 30.09s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:30, 1.15s/it] 7%|▋ | 2/28 [00:02<00:27, 1.05s/it] 11%|█ | 3/28 [00:03<00:27, 1.09s/it] 14%|█▍ | 4/28 [00:04<00:26, 1.12s/it] 18%|█▊ | 5/28 [00:05<00:25, 1.13s/it] 21%|██▏ | 6/28 [00:06<00:25, 1.14s/it] 25%|██▌ | 7/28 [00:07<00:23, 1.14s/it] 29%|██▊ | 8/28 [00:09<00:22, 1.15s/it] 32%|███▏ | 9/28 [00:10<00:21, 1.15s/it] 36%|███▌ | 10/28 [00:11<00:20, 1.15s/it] 39%|███▉ | 11/28 [00:12<00:19, 1.15s/it] 43%|████▎ | 12/28 [00:13<00:18, 1.15s/it] 46%|████▋ | 13/28 [00:14<00:17, 1.16s/it] 50%|█████ | 14/28 [00:15<00:16, 1.16s/it] 54%|█████▎ | 15/28 [00:17<00:15, 1.15s/it] 57%|█████▋ | 16/28 [00:18<00:13, 1.16s/it] 61%|██████ | 17/28 [00:19<00:12, 1.16s/it] 64%|██████▍ | 18/28 [00:20<00:11, 1.16s/it] 68%|██████▊ | 19/28 [00:21<00:10, 1.16s/it] 71%|███████▏ | 20/28 [00:22<00:09, 1.16s/it] 75%|███████▌ | 21/28 [00:24<00:08, 1.16s/it] 79%|███████▊ | 22/28 [00:25<00:06, 1.16s/it] 82%|████████▏ | 23/28 [00:26<00:05, 1.16s/it] 86%|████████▌ | 24/28 [00:27<00:04, 1.16s/it] 89%|████████▉ | 25/28 [00:28<00:03, 1.16s/it] 93%|█████████▎| 26/28 [00:29<00:02, 1.16s/it] 96%|█████████▋| 27/28 [00:31<00:01, 1.16s/it] 100%|██████████| 28/28 [00:32<00:00, 1.16s/it] 100%|██████████| 28/28 [00:32<00:00, 1.15s/it]Prediction
janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821dIDeerevhp0h9rm00chmf7bjpqwjrStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style
- extra_lora
- andreasjansson/flux-shapes
- lora_scale
- 0.7
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 100
- extra_lora_scale
- 0.9
- num_inference_steps
- 28
{ "model": "dev", "prompt": "P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 0.7, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.9, "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 janghaludu/kocchaga using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", { input: { model: "dev", prompt: "P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style", extra_lora: "andreasjansson/flux-shapes", lora_scale: 0.7, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 100, extra_lora_scale: 0.9, 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 janghaludu/kocchaga using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", input={ "model": "dev", "prompt": "P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 0.7, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.9, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run janghaludu/kocchaga 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": "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", "input": { "model": "dev", "prompt": "P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 0.7, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.9, "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": "2024-08-30T15:03:12.176789Z", "created_at": "2024-08-30T15:02:01.610000Z", "data_removed": false, "error": null, "id": "eerevhp0h9rm00chmf7bjpqwjr", "input": { "model": "dev", "prompt": "P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 0.7, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.9, "num_inference_steps": 28 }, "logs": "Using seed: 38053\nPrompt: P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style\ntxt2img mode\nUsing dev model\nLoading extra LoRA weights from: andreasjansson/flux-shapes\nfree=9331573866496\nDownloading weights\n2024-08-30T15:02:24Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpgux9t1jf/weights url=https://replicate.com/andreasjansson/flux-shapes/_weights\n2024-08-30T15:02:24Z | INFO | [ Redirect ] redirect_url=https://replicate.delivery/yhqm/3iisiVryWZr4C1oaVHZys6Q8gIaGquFEpeHjc68wioMpzgqJA/trained_model.tar url=https://replicate.com/andreasjansson/flux-shapes/_weights\n2024-08-30T15:02:27Z | INFO | [ Complete ] dest=/tmp/tmpgux9t1jf/weights size=\"172 MB\" total_elapsed=2.534s url=https://replicate.com/andreasjansson/flux-shapes/_weights\nDownloaded weights in 2.58s\nLoaded LoRAs in 29.80s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:30, 1.13s/it]\n 7%|▋ | 2/28 [00:02<00:26, 1.04s/it]\n 11%|█ | 3/28 [00:03<00:26, 1.08s/it]\n 14%|█▍ | 4/28 [00:04<00:26, 1.10s/it]\n 18%|█▊ | 5/28 [00:05<00:25, 1.11s/it]\n 21%|██▏ | 6/28 [00:06<00:24, 1.12s/it]\n 25%|██▌ | 7/28 [00:07<00:23, 1.12s/it]\n 29%|██▊ | 8/28 [00:08<00:22, 1.13s/it]\n 32%|███▏ | 9/28 [00:10<00:21, 1.13s/it]\n 36%|███▌ | 10/28 [00:11<00:20, 1.13s/it]\n 39%|███▉ | 11/28 [00:12<00:19, 1.13s/it]\n 43%|████▎ | 12/28 [00:13<00:18, 1.13s/it]\n 46%|████▋ | 13/28 [00:14<00:17, 1.13s/it]\n 50%|█████ | 14/28 [00:15<00:15, 1.13s/it]\n 54%|█████▎ | 15/28 [00:16<00:14, 1.13s/it]\n 57%|█████▋ | 16/28 [00:17<00:13, 1.13s/it]\n 61%|██████ | 17/28 [00:19<00:12, 1.13s/it]\n 64%|██████▍ | 18/28 [00:20<00:11, 1.13s/it]\n 68%|██████▊ | 19/28 [00:21<00:10, 1.13s/it]\n 71%|███████▏ | 20/28 [00:22<00:09, 1.13s/it]\n 75%|███████▌ | 21/28 [00:23<00:07, 1.14s/it]\n 79%|███████▊ | 22/28 [00:24<00:06, 1.14s/it]\n 82%|████████▏ | 23/28 [00:25<00:05, 1.14s/it]\n 86%|████████▌ | 24/28 [00:27<00:04, 1.14s/it]\n 89%|████████▉ | 25/28 [00:28<00:03, 1.13s/it]\n 93%|█████████▎| 26/28 [00:29<00:02, 1.13s/it]\n 96%|█████████▋| 27/28 [00:30<00:01, 1.13s/it]\n100%|██████████| 28/28 [00:31<00:00, 1.13s/it]\n100%|██████████| 28/28 [00:31<00:00, 1.13s/it]", "metrics": { "predict_time": 63.234819732, "total_time": 70.566789 }, "output": [ "https://replicate.delivery/yhqm/lSdATgO8wQZmNpP2jpJYZNbsl3rLr2XfMf8PvSrW8QnvE5XTA/out-0.webp", "https://replicate.delivery/yhqm/twZfPJo5702eaULdCPlJ77qKPgpbe4L7yENPGUzYUqxfSkfaC/out-1.webp", "https://replicate.delivery/yhqm/2ohnnmu9JwoCCNzlfzytiz86wLigvr5hnkPCzOH8AS6Xi8rJA/out-2.webp", "https://replicate.delivery/yhqm/vfNWrcq7AfpTcEXpiS91UGWZCBXtdBe8fb53uaopMaPDTkfaC/out-3.webp" ], "started_at": "2024-08-30T15:02:08.941969Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/eerevhp0h9rm00chmf7bjpqwjr", "cancel": "https://api.replicate.com/v1/predictions/eerevhp0h9rm00chmf7bjpqwjr/cancel" }, "version": "ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d" }Generated inUsing seed: 38053 Prompt: P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style txt2img mode Using dev model Loading extra LoRA weights from: andreasjansson/flux-shapes free=9331573866496 Downloading weights 2024-08-30T15:02:24Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpgux9t1jf/weights url=https://replicate.com/andreasjansson/flux-shapes/_weights 2024-08-30T15:02:24Z | INFO | [ Redirect ] redirect_url=https://replicate.delivery/yhqm/3iisiVryWZr4C1oaVHZys6Q8gIaGquFEpeHjc68wioMpzgqJA/trained_model.tar url=https://replicate.com/andreasjansson/flux-shapes/_weights 2024-08-30T15:02:27Z | INFO | [ Complete ] dest=/tmp/tmpgux9t1jf/weights size="172 MB" total_elapsed=2.534s url=https://replicate.com/andreasjansson/flux-shapes/_weights Downloaded weights in 2.58s Loaded LoRAs in 29.80s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:30, 1.13s/it] 7%|▋ | 2/28 [00:02<00:26, 1.04s/it] 11%|█ | 3/28 [00:03<00:26, 1.08s/it] 14%|█▍ | 4/28 [00:04<00:26, 1.10s/it] 18%|█▊ | 5/28 [00:05<00:25, 1.11s/it] 21%|██▏ | 6/28 [00:06<00:24, 1.12s/it] 25%|██▌ | 7/28 [00:07<00:23, 1.12s/it] 29%|██▊ | 8/28 [00:08<00:22, 1.13s/it] 32%|███▏ | 9/28 [00:10<00:21, 1.13s/it] 36%|███▌ | 10/28 [00:11<00:20, 1.13s/it] 39%|███▉ | 11/28 [00:12<00:19, 1.13s/it] 43%|████▎ | 12/28 [00:13<00:18, 1.13s/it] 46%|████▋ | 13/28 [00:14<00:17, 1.13s/it] 50%|█████ | 14/28 [00:15<00:15, 1.13s/it] 54%|█████▎ | 15/28 [00:16<00:14, 1.13s/it] 57%|█████▋ | 16/28 [00:17<00:13, 1.13s/it] 61%|██████ | 17/28 [00:19<00:12, 1.13s/it] 64%|██████▍ | 18/28 [00:20<00:11, 1.13s/it] 68%|██████▊ | 19/28 [00:21<00:10, 1.13s/it] 71%|███████▏ | 20/28 [00:22<00:09, 1.13s/it] 75%|███████▌ | 21/28 [00:23<00:07, 1.14s/it] 79%|███████▊ | 22/28 [00:24<00:06, 1.14s/it] 82%|████████▏ | 23/28 [00:25<00:05, 1.14s/it] 86%|████████▌ | 24/28 [00:27<00:04, 1.14s/it] 89%|████████▉ | 25/28 [00:28<00:03, 1.13s/it] 93%|█████████▎| 26/28 [00:29<00:02, 1.13s/it] 96%|█████████▋| 27/28 [00:30<00:01, 1.13s/it] 100%|██████████| 28/28 [00:31<00:00, 1.13s/it] 100%|██████████| 28/28 [00:31<00:00, 1.13s/it]Prediction
janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821dIDpvmdrmntzxrm20chm9abseq9swStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- P5GLTKH composition, Ultra minimalist Constructivism, P5GLTKH style tropical village
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 100
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "P5GLTKH composition, Ultra minimalist Constructivism, P5GLTKH style tropical village", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "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 janghaludu/kocchaga using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", { input: { model: "dev", prompt: "P5GLTKH composition, Ultra minimalist Constructivism, P5GLTKH style tropical village", lora_scale: 1, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 100, 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 janghaludu/kocchaga using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", input={ "model": "dev", "prompt": "P5GLTKH composition, Ultra minimalist Constructivism, P5GLTKH style tropical village", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "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 janghaludu/kocchaga 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": "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", "input": { "model": "dev", "prompt": "P5GLTKH composition, Ultra minimalist Constructivism, P5GLTKH style tropical village", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "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": "2024-08-30T08:10:06.191987Z", "created_at": "2024-08-30T08:09:07.583000Z", "data_removed": false, "error": null, "id": "pvmdrmntzxrm20chm9abseq9sw", "input": { "model": "dev", "prompt": "P5GLTKH composition, Ultra minimalist Constructivism, P5GLTKH style tropical village", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 34496\nPrompt: P5GLTKH composition, Ultra minimalist Constructivism, P5GLTKH style tropical village\ntxt2img mode\nUsing dev model\nfree=9128380682240\nDownloading weights\n2024-08-30T08:09:18Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpdpch645o/weights url=https://replicate.delivery/yhqm/jMccx5FvNr5KDlz8dB2zJWsd817iVZFgfVJ9R55qKSYPX5rJA/trained_model.tar\n2024-08-30T08:09:20Z | INFO | [ Complete ] dest=/tmp/tmpdpch645o/weights size=\"688 MB\" total_elapsed=2.020s url=https://replicate.delivery/yhqm/jMccx5FvNr5KDlz8dB2zJWsd817iVZFgfVJ9R55qKSYPX5rJA/trained_model.tar\nDownloaded weights in 2.08s\nLoaded LoRAs in 17.61s\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<00:22, 1.13it/s]\n 11%|█ | 3/28 [00:02<00:23, 1.06it/s]\n 14%|█▍ | 4/28 [00:03<00:23, 1.03it/s]\n 18%|█▊ | 5/28 [00:04<00:22, 1.01it/s]\n 21%|██▏ | 6/28 [00:05<00:21, 1.00it/s]\n 25%|██▌ | 7/28 [00:06<00:21, 1.00s/it]\n 29%|██▊ | 8/28 [00:07<00:20, 1.01s/it]\n 32%|███▏ | 9/28 [00:08<00:19, 1.01s/it]\n 36%|███▌ | 10/28 [00:09<00:18, 1.01s/it]\n 39%|███▉ | 11/28 [00:10<00:17, 1.01s/it]\n 43%|████▎ | 12/28 [00:11<00:16, 1.01s/it]\n 46%|████▋ | 13/28 [00:12<00:15, 1.01s/it]\n 50%|█████ | 14/28 [00:13<00:14, 1.01s/it]\n 54%|█████▎ | 15/28 [00:14<00:13, 1.01s/it]\n 57%|█████▋ | 16/28 [00:16<00:12, 1.01s/it]\n 61%|██████ | 17/28 [00:17<00:11, 1.01s/it]\n 64%|██████▍ | 18/28 [00:18<00:10, 1.01s/it]\n 68%|██████▊ | 19/28 [00:19<00:09, 1.01s/it]\n 71%|███████▏ | 20/28 [00:20<00:08, 1.01s/it]\n 75%|███████▌ | 21/28 [00:21<00:07, 1.01s/it]\n 79%|███████▊ | 22/28 [00:22<00:06, 1.01s/it]\n 82%|████████▏ | 23/28 [00:23<00:05, 1.01s/it]\n 86%|████████▌ | 24/28 [00:24<00:04, 1.01s/it]\n 89%|████████▉ | 25/28 [00:25<00:03, 1.01s/it]\n 93%|█████████▎| 26/28 [00:26<00:02, 1.01s/it]\n 96%|█████████▋| 27/28 [00:27<00:01, 1.01s/it]\n100%|██████████| 28/28 [00:28<00:00, 1.01s/it]\n100%|██████████| 28/28 [00:28<00:00, 1.01s/it]", "metrics": { "predict_time": 47.566447031, "total_time": 58.608987 }, "output": [ "https://replicate.delivery/yhqm/O61el5T8mvS7KqSRjs1oFRfgTqDTNqb6igpqVWQF1KxdBzXTA/out-0.webp", "https://replicate.delivery/yhqm/EQodb4GuNqpnOdA49GAZwVIOv6zsKEoyoFSAIldbo8aXw81E/out-1.webp", "https://replicate.delivery/yhqm/fAlTO9jZutRWNq9i6vGeUX4jAnc7KcG4ZqIWNoDNkzKeCmvmA/out-2.webp", "https://replicate.delivery/yhqm/g9SZCFnjyUYxG1OLxIeykSdgpvig7Sq02fnOvCbNeqa9CmvmA/out-3.webp" ], "started_at": "2024-08-30T08:09:18.625540Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/pvmdrmntzxrm20chm9abseq9sw", "cancel": "https://api.replicate.com/v1/predictions/pvmdrmntzxrm20chm9abseq9sw/cancel" }, "version": "ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d" }Generated inUsing seed: 34496 Prompt: P5GLTKH composition, Ultra minimalist Constructivism, P5GLTKH style tropical village txt2img mode Using dev model free=9128380682240 Downloading weights 2024-08-30T08:09:18Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpdpch645o/weights url=https://replicate.delivery/yhqm/jMccx5FvNr5KDlz8dB2zJWsd817iVZFgfVJ9R55qKSYPX5rJA/trained_model.tar 2024-08-30T08:09:20Z | INFO | [ Complete ] dest=/tmp/tmpdpch645o/weights size="688 MB" total_elapsed=2.020s url=https://replicate.delivery/yhqm/jMccx5FvNr5KDlz8dB2zJWsd817iVZFgfVJ9R55qKSYPX5rJA/trained_model.tar Downloaded weights in 2.08s Loaded LoRAs in 17.61s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:27, 1.01s/it] 7%|▋ | 2/28 [00:01<00:22, 1.13it/s] 11%|█ | 3/28 [00:02<00:23, 1.06it/s] 14%|█▍ | 4/28 [00:03<00:23, 1.03it/s] 18%|█▊ | 5/28 [00:04<00:22, 1.01it/s] 21%|██▏ | 6/28 [00:05<00:21, 1.00it/s] 25%|██▌ | 7/28 [00:06<00:21, 1.00s/it] 29%|██▊ | 8/28 [00:07<00:20, 1.01s/it] 32%|███▏ | 9/28 [00:08<00:19, 1.01s/it] 36%|███▌ | 10/28 [00:09<00:18, 1.01s/it] 39%|███▉ | 11/28 [00:10<00:17, 1.01s/it] 43%|████▎ | 12/28 [00:11<00:16, 1.01s/it] 46%|████▋ | 13/28 [00:12<00:15, 1.01s/it] 50%|█████ | 14/28 [00:13<00:14, 1.01s/it] 54%|█████▎ | 15/28 [00:14<00:13, 1.01s/it] 57%|█████▋ | 16/28 [00:16<00:12, 1.01s/it] 61%|██████ | 17/28 [00:17<00:11, 1.01s/it] 64%|██████▍ | 18/28 [00:18<00:10, 1.01s/it] 68%|██████▊ | 19/28 [00:19<00:09, 1.01s/it] 71%|███████▏ | 20/28 [00:20<00:08, 1.01s/it] 75%|███████▌ | 21/28 [00:21<00:07, 1.01s/it] 79%|███████▊ | 22/28 [00:22<00:06, 1.01s/it] 82%|████████▏ | 23/28 [00:23<00:05, 1.01s/it] 86%|████████▌ | 24/28 [00:24<00:04, 1.01s/it] 89%|████████▉ | 25/28 [00:25<00:03, 1.01s/it] 93%|█████████▎| 26/28 [00:26<00:02, 1.01s/it] 96%|█████████▋| 27/28 [00:27<00:01, 1.01s/it] 100%|██████████| 28/28 [00:28<00:00, 1.01s/it] 100%|██████████| 28/28 [00:28<00:00, 1.01s/it]Prediction
janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821dIDfdkjhncpehrm40chpg285860q4StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- schnell
- prompt
- P5GLTKH SHPS composition, minimalist line drawing, P5GLTKH style """ Shot with a phone from 2000s, grainy 80s Scifi aesthetic, Arizona desert """
- extra_lora
- andreasjansson/flux-shapes
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 100
- extra_lora_scale
- 0.9
- num_inference_steps
- 4
{ "model": "schnell", "prompt": "P5GLTKH SHPS composition, minimalist line drawing, P5GLTKH style \"\"\"\nShot with a phone from 2000s,\ngrainy 80s Scifi aesthetic,\nArizona desert\n\n \"\"\"", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.9, "num_inference_steps": 4 }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 janghaludu/kocchaga using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", { input: { model: "schnell", prompt: "P5GLTKH SHPS composition, minimalist line drawing, P5GLTKH style \"\"\"\nShot with a phone from 2000s,\ngrainy 80s Scifi aesthetic,\nArizona desert\n\n \"\"\"", extra_lora: "andreasjansson/flux-shapes", lora_scale: 1, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 100, extra_lora_scale: 0.9, num_inference_steps: 4 } } ); // 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 janghaludu/kocchaga using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", input={ "model": "schnell", "prompt": "P5GLTKH SHPS composition, minimalist line drawing, P5GLTKH style \"\"\"\nShot with a phone from 2000s,\ngrainy 80s Scifi aesthetic,\nArizona desert\n\n \"\"\"", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.9, "num_inference_steps": 4 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run janghaludu/kocchaga 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": "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", "input": { "model": "schnell", "prompt": "P5GLTKH SHPS composition, minimalist line drawing, P5GLTKH style \\"\\"\\"\\nShot with a phone from 2000s,\\ngrainy 80s Scifi aesthetic,\\nArizona desert\\n\\n \\"\\"\\"", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.9, "num_inference_steps": 4 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-09-02T18:36:08.510461Z", "created_at": "2024-09-02T18:34:45.236000Z", "data_removed": false, "error": null, "id": "fdkjhncpehrm40chpg285860q4", "input": { "model": "schnell", "prompt": "P5GLTKH SHPS composition, minimalist line drawing, P5GLTKH style \"\"\"\nShot with a phone from 2000s,\ngrainy 80s Scifi aesthetic,\nArizona desert\n\n \"\"\"", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.9, "num_inference_steps": 4 }, "logs": "Using seed: 862\nPrompt: P5GLTKH SHPS composition, minimalist line drawing, P5GLTKH style \"\"\"\nShot with a phone from 2000s,\ngrainy 80s Scifi aesthetic,\nArizona desert\n\"\"\"\ntxt2img mode\nUsing schnell model\nLoading extra LoRA weights from: andreasjansson/flux-shapes\nLoaded LoRAs in 41.19s\n 0%| | 0/4 [00:00<?, ?it/s]\n 25%|██▌ | 1/4 [00:01<00:03, 1.07s/it]\n 50%|█████ | 2/4 [00:01<00:01, 1.02it/s]\n 75%|███████▌ | 3/4 [00:03<00:01, 1.02s/it]\n100%|██████████| 4/4 [00:04<00:00, 1.04s/it]\n100%|██████████| 4/4 [00:04<00:00, 1.03s/it]", "metrics": { "predict_time": 46.89469865, "total_time": 83.274461 }, "output": [ "https://replicate.delivery/yhqm/sM765NKxz9L4Jx0rSCdjB70EhPzpiC4B7KbvN9DJlREm3O2E/out-0.webp", "https://replicate.delivery/yhqm/YHi15FKVjT5iO5xOWFqRai6CfmTbnEo6iilyxGVnRqWMvdsJA/out-1.webp", "https://replicate.delivery/yhqm/BnomevSsKvVvDi1gxLKNbkukDzel8lKRPnGzmbAOn0nYe2xmA/out-2.webp", "https://replicate.delivery/yhqm/kPnAsDLKWk5LOdBkX8E6ovtBQel5lgj9qOMIhL7W0AAMvdsJA/out-3.webp" ], "started_at": "2024-09-02T18:35:21.615762Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/fdkjhncpehrm40chpg285860q4", "cancel": "https://api.replicate.com/v1/predictions/fdkjhncpehrm40chpg285860q4/cancel" }, "version": "ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d" }Generated inUsing seed: 862 Prompt: P5GLTKH SHPS composition, minimalist line drawing, P5GLTKH style """ Shot with a phone from 2000s, grainy 80s Scifi aesthetic, Arizona desert """ txt2img mode Using schnell model Loading extra LoRA weights from: andreasjansson/flux-shapes Loaded LoRAs in 41.19s 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:01<00:03, 1.07s/it] 50%|█████ | 2/4 [00:01<00:01, 1.02it/s] 75%|███████▌ | 3/4 [00:03<00:01, 1.02s/it] 100%|██████████| 4/4 [00:04<00:00, 1.04s/it] 100%|██████████| 4/4 [00:04<00:00, 1.03s/it]Prediction
janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821dIDq23vxc2ny5rm40chmgsvm0972gStatusSucceededSourceWebHardwareH100Total durationCreatedby @janghaluduInput
- model
- dev
- prompt
- P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized figure with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.
- extra_lora
- andreasjansson/flux-shapes
- lora_scale
- 0.7
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 100
- extra_lora_scale
- 0.9
- num_inference_steps
- 28
{ "model": "dev", "prompt": "P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized figure with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 0.7, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.9, "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 janghaludu/kocchaga using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", { input: { model: "dev", prompt: "P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized figure with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.", extra_lora: "andreasjansson/flux-shapes", lora_scale: 0.7, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 100, extra_lora_scale: 0.9, 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 janghaludu/kocchaga using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", input={ "model": "dev", "prompt": "P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized figure with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 0.7, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.9, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run janghaludu/kocchaga 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": "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", "input": { "model": "dev", "prompt": "P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there\'s a stylized figure with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 0.7, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.9, "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": "2024-08-30T16:52:57.155336Z", "created_at": "2024-08-30T16:51:53.457000Z", "data_removed": false, "error": null, "id": "q23vxc2ny5rm40chmgsvm0972g", "input": { "model": "dev", "prompt": "P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized figure with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 0.7, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.9, "num_inference_steps": 28 }, "logs": "Using seed: 18967\nPrompt: P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized figure with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.\ntxt2img mode\nUsing dev model\nLoading extra LoRA weights from: andreasjansson/flux-shapes\nfree=9776063131648\nDownloading weights\n2024-08-30T16:52:10Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp3ipalgfa/weights url=https://replicate.com/andreasjansson/flux-shapes/_weights\n2024-08-30T16:52:10Z | INFO | [ Redirect ] redirect_url=https://replicate.delivery/yhqm/3iisiVryWZr4C1oaVHZys6Q8gIaGquFEpeHjc68wioMpzgqJA/trained_model.tar url=https://replicate.com/andreasjansson/flux-shapes/_weights\n2024-08-30T16:52:12Z | INFO | [ Complete ] dest=/tmp/tmp3ipalgfa/weights size=\"172 MB\" total_elapsed=2.164s url=https://replicate.com/andreasjansson/flux-shapes/_weights\nDownloaded weights in 2.19s\nLoaded LoRAs in 30.02s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:30, 1.14s/it]\n 7%|▋ | 2/28 [00:02<00:27, 1.04s/it]\n 11%|█ | 3/28 [00:03<00:27, 1.09s/it]\n 14%|█▍ | 4/28 [00:04<00:26, 1.11s/it]\n 18%|█▊ | 5/28 [00:05<00:25, 1.12s/it]\n 21%|██▏ | 6/28 [00:06<00:24, 1.13s/it]\n 25%|██▌ | 7/28 [00:07<00:23, 1.13s/it]\n 29%|██▊ | 8/28 [00:08<00:22, 1.13s/it]\n 32%|███▏ | 9/28 [00:10<00:21, 1.14s/it]\n 36%|███▌ | 10/28 [00:11<00:20, 1.14s/it]\n 39%|███▉ | 11/28 [00:12<00:19, 1.14s/it]\n 43%|████▎ | 12/28 [00:13<00:18, 1.14s/it]\n 46%|████▋ | 13/28 [00:14<00:17, 1.14s/it]\n 50%|█████ | 14/28 [00:15<00:16, 1.14s/it]\n 54%|█████▎ | 15/28 [00:16<00:14, 1.14s/it]\n 57%|█████▋ | 16/28 [00:18<00:13, 1.14s/it]\n 61%|██████ | 17/28 [00:19<00:12, 1.14s/it]\n 64%|██████▍ | 18/28 [00:20<00:11, 1.14s/it]\n 68%|██████▊ | 19/28 [00:21<00:10, 1.14s/it]\n 71%|███████▏ | 20/28 [00:22<00:09, 1.15s/it]\n 75%|███████▌ | 21/28 [00:23<00:08, 1.15s/it]\n 79%|███████▊ | 22/28 [00:24<00:06, 1.15s/it]\n 82%|████████▏ | 23/28 [00:26<00:05, 1.15s/it]\n 86%|████████▌ | 24/28 [00:27<00:04, 1.15s/it]\n 89%|████████▉ | 25/28 [00:28<00:03, 1.15s/it]\n 93%|█████████▎| 26/28 [00:29<00:02, 1.15s/it]\n 96%|█████████▋| 27/28 [00:30<00:01, 1.15s/it]\n100%|██████████| 28/28 [00:31<00:00, 1.15s/it]\n100%|██████████| 28/28 [00:31<00:00, 1.14s/it]", "metrics": { "predict_time": 63.688355493, "total_time": 63.698336 }, "output": [ "https://replicate.delivery/yhqm/JWzrb7eGpF0tWiOcHfhAVUzhWYin6uJl4VcVh4dwjPWor6XTA/out-0.webp", "https://replicate.delivery/yhqm/jAf6m2boklyWHKPzjxtytNthZx2zekUNM9BJyAv34rtor6XTA/out-1.webp", "https://replicate.delivery/yhqm/DXirCZ74sVbnAx2RXcPO1NUOlcEzmnquaUPygeAu5LW0V9rJA/out-2.webp", "https://replicate.delivery/yhqm/WG72uF58EZoENprwXP72Ojsy7HZerOw6YIsEUKgBdJk0V9rJA/out-3.webp" ], "started_at": "2024-08-30T16:51:53.466980Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/q23vxc2ny5rm40chmgsvm0972g", "cancel": "https://api.replicate.com/v1/predictions/q23vxc2ny5rm40chmgsvm0972g/cancel" }, "version": "ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d" }Generated inUsing seed: 18967 Prompt: P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized figure with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms. txt2img mode Using dev model Loading extra LoRA weights from: andreasjansson/flux-shapes free=9776063131648 Downloading weights 2024-08-30T16:52:10Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp3ipalgfa/weights url=https://replicate.com/andreasjansson/flux-shapes/_weights 2024-08-30T16:52:10Z | INFO | [ Redirect ] redirect_url=https://replicate.delivery/yhqm/3iisiVryWZr4C1oaVHZys6Q8gIaGquFEpeHjc68wioMpzgqJA/trained_model.tar url=https://replicate.com/andreasjansson/flux-shapes/_weights 2024-08-30T16:52:12Z | INFO | [ Complete ] dest=/tmp/tmp3ipalgfa/weights size="172 MB" total_elapsed=2.164s url=https://replicate.com/andreasjansson/flux-shapes/_weights Downloaded weights in 2.19s Loaded LoRAs in 30.02s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:30, 1.14s/it] 7%|▋ | 2/28 [00:02<00:27, 1.04s/it] 11%|█ | 3/28 [00:03<00:27, 1.09s/it] 14%|█▍ | 4/28 [00:04<00:26, 1.11s/it] 18%|█▊ | 5/28 [00:05<00:25, 1.12s/it] 21%|██▏ | 6/28 [00:06<00:24, 1.13s/it] 25%|██▌ | 7/28 [00:07<00:23, 1.13s/it] 29%|██▊ | 8/28 [00:08<00:22, 1.13s/it] 32%|███▏ | 9/28 [00:10<00:21, 1.14s/it] 36%|███▌ | 10/28 [00:11<00:20, 1.14s/it] 39%|███▉ | 11/28 [00:12<00:19, 1.14s/it] 43%|████▎ | 12/28 [00:13<00:18, 1.14s/it] 46%|████▋ | 13/28 [00:14<00:17, 1.14s/it] 50%|█████ | 14/28 [00:15<00:16, 1.14s/it] 54%|█████▎ | 15/28 [00:16<00:14, 1.14s/it] 57%|█████▋ | 16/28 [00:18<00:13, 1.14s/it] 61%|██████ | 17/28 [00:19<00:12, 1.14s/it] 64%|██████▍ | 18/28 [00:20<00:11, 1.14s/it] 68%|██████▊ | 19/28 [00:21<00:10, 1.14s/it] 71%|███████▏ | 20/28 [00:22<00:09, 1.15s/it] 75%|███████▌ | 21/28 [00:23<00:08, 1.15s/it] 79%|███████▊ | 22/28 [00:24<00:06, 1.15s/it] 82%|████████▏ | 23/28 [00:26<00:05, 1.15s/it] 86%|████████▌ | 24/28 [00:27<00:04, 1.15s/it] 89%|████████▉ | 25/28 [00:28<00:03, 1.15s/it] 93%|█████████▎| 26/28 [00:29<00:02, 1.15s/it] 96%|█████████▋| 27/28 [00:30<00:01, 1.15s/it] 100%|██████████| 28/28 [00:31<00:00, 1.15s/it] 100%|██████████| 28/28 [00:31<00:00, 1.14s/it]Prediction
janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821dIDdx3bttvbtdrm20chmass6reyb8StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- P5GLTKH composition style P5GLTKH hindu god, Ultra minimalist P5GLTKH constructivism
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 100
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "P5GLTKH composition style P5GLTKH hindu god, Ultra minimalist P5GLTKH constructivism", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "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 janghaludu/kocchaga using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", { input: { model: "dev", prompt: "P5GLTKH composition style P5GLTKH hindu god, Ultra minimalist P5GLTKH constructivism", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 100, 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 janghaludu/kocchaga using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", input={ "model": "dev", "prompt": "P5GLTKH composition style P5GLTKH hindu god, Ultra minimalist P5GLTKH constructivism", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "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 janghaludu/kocchaga 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": "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", "input": { "model": "dev", "prompt": "P5GLTKH composition style P5GLTKH hindu god, Ultra minimalist P5GLTKH constructivism", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "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": "2024-08-30T09:53:00.265047Z", "created_at": "2024-08-30T09:52:33.235000Z", "data_removed": false, "error": null, "id": "dx3bttvbtdrm20chmass6reyb8", "input": { "model": "dev", "prompt": "P5GLTKH composition style P5GLTKH hindu god, Ultra minimalist P5GLTKH constructivism", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 32548\nPrompt: P5GLTKH composition style P5GLTKH hindu god, Ultra minimalist P5GLTKH constructivism\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 17.30s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.71it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.26it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.98it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.86it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.80it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.76it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.74it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.72it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.71it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.71it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.70it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.70it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.70it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.70it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.70it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.70it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.70it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.70it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.70it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.69it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.70it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.69it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.69it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.69it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.69it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.69it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.69it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.69it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.72it/s]", "metrics": { "predict_time": 25.371107986, "total_time": 27.030047 }, "output": [ "https://replicate.delivery/yhqm/pr9pIhposUqAHpIwcQ14QdMxpg32MxrD03819SlFjyGfQ6rJA/out-0.webp" ], "started_at": "2024-08-30T09:52:34.893939Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/dx3bttvbtdrm20chmass6reyb8", "cancel": "https://api.replicate.com/v1/predictions/dx3bttvbtdrm20chmass6reyb8/cancel" }, "version": "ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d" }Generated inUsing seed: 32548 Prompt: P5GLTKH composition style P5GLTKH hindu god, Ultra minimalist P5GLTKH constructivism txt2img mode Using dev model Loaded LoRAs in 17.30s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.71it/s] 7%|▋ | 2/28 [00:00<00:06, 4.26it/s] 11%|█ | 3/28 [00:00<00:06, 3.98it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.86it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.80it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.76it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.74it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.72it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.71it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.71it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.70it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.70it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.70it/s] 50%|█████ | 14/28 [00:03<00:03, 3.70it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.70it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.70it/s] 61%|██████ | 17/28 [00:04<00:02, 3.70it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.70it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.70it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.69it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.70it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.69it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.69it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.69it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.69it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.69it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.69it/s] 100%|██████████| 28/28 [00:07<00:00, 3.69it/s] 100%|██████████| 28/28 [00:07<00:00, 3.72it/s]Prediction
janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821dIDvhzche3yenrm40chpg8ahmh98gStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized frog with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.
- extra_lora
- andreasjansson/flux-shapes
- lora_scale
- 0.7
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 100
- extra_lora_scale
- 0.9
- num_inference_steps
- 28
{ "model": "dev", "prompt": "P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized frog with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 0.7, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.9, "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 janghaludu/kocchaga using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", { input: { model: "dev", prompt: "P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized frog with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.", extra_lora: "andreasjansson/flux-shapes", lora_scale: 0.7, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 100, extra_lora_scale: 0.9, 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 janghaludu/kocchaga using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", input={ "model": "dev", "prompt": "P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized frog with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 0.7, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.9, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run janghaludu/kocchaga 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": "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", "input": { "model": "dev", "prompt": "P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there\'s a stylized frog with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 0.7, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.9, "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": "2024-09-02T18:49:31.492414Z", "created_at": "2024-09-02T18:47:45.525000Z", "data_removed": false, "error": null, "id": "vhzche3yenrm40chpg8ahmh98g", "input": { "model": "dev", "prompt": "P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized frog with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 0.7, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.9, "num_inference_steps": 28 }, "logs": "Using seed: 48816\nPrompt: P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized frog with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.\ntxt2img mode\nUsing dev model\nLoading extra LoRA weights from: andreasjansson/flux-shapes\nfree=9299639160832\nDownloading weights\n2024-09-02T18:48:02Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpui6yjnfp/weights url=https://replicate.delivery/yhqm/jMccx5FvNr5KDlz8dB2zJWsd817iVZFgfVJ9R55qKSYPX5rJA/trained_model.tar\n2024-09-02T18:48:05Z | INFO | [ Complete ] dest=/tmp/tmpui6yjnfp/weights size=\"688 MB\" total_elapsed=3.262s url=https://replicate.delivery/yhqm/jMccx5FvNr5KDlz8dB2zJWsd817iVZFgfVJ9R55qKSYPX5rJA/trained_model.tar\nDownloaded weights in 3.32s\nfree=9298777419776\nDownloading weights\n2024-09-02T18:48:32Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpd8ugie0i/weights url=https://replicate.com/andreasjansson/flux-shapes/_weights\n2024-09-02T18:48:33Z | INFO | [ Redirect ] redirect_url=https://replicate.delivery/yhqm/3iisiVryWZr4C1oaVHZys6Q8gIaGquFEpeHjc68wioMpzgqJA/trained_model.tar url=https://replicate.com/andreasjansson/flux-shapes/_weights\n2024-09-02T18:48:35Z | INFO | [ Complete ] dest=/tmp/tmpd8ugie0i/weights size=\"172 MB\" total_elapsed=2.746s url=https://replicate.com/andreasjansson/flux-shapes/_weights\nDownloaded weights in 2.78s\nLoaded LoRAs in 55.69s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:30, 1.14s/it]\n 7%|▋ | 2/28 [00:02<00:26, 1.04s/it]\n 11%|█ | 3/28 [00:03<00:27, 1.08s/it]\n 14%|█▍ | 4/28 [00:04<00:26, 1.10s/it]\n 18%|█▊ | 5/28 [00:05<00:25, 1.11s/it]\n 21%|██▏ | 6/28 [00:06<00:24, 1.12s/it]\n 25%|██▌ | 7/28 [00:07<00:23, 1.13s/it]\n 29%|██▊ | 8/28 [00:08<00:22, 1.13s/it]\n 32%|███▏ | 9/28 [00:10<00:21, 1.13s/it]\n 36%|███▌ | 10/28 [00:11<00:20, 1.13s/it]\n 39%|███▉ | 11/28 [00:12<00:19, 1.13s/it]\n 43%|████▎ | 12/28 [00:13<00:18, 1.13s/it]\n 46%|████▋ | 13/28 [00:14<00:17, 1.13s/it]\n 50%|█████ | 14/28 [00:15<00:15, 1.13s/it]\n 54%|█████▎ | 15/28 [00:16<00:14, 1.14s/it]\n 57%|█████▋ | 16/28 [00:17<00:13, 1.14s/it]\n 61%|██████ | 17/28 [00:19<00:12, 1.14s/it]\n 64%|██████▍ | 18/28 [00:20<00:11, 1.14s/it]\n 68%|██████▊ | 19/28 [00:21<00:10, 1.14s/it]\n 71%|███████▏ | 20/28 [00:22<00:09, 1.14s/it]\n 75%|███████▌ | 21/28 [00:23<00:07, 1.14s/it]\n 79%|███████▊ | 22/28 [00:24<00:06, 1.14s/it]\n 82%|████████▏ | 23/28 [00:25<00:05, 1.14s/it]\n 86%|████████▌ | 24/28 [00:27<00:04, 1.14s/it]\n 89%|████████▉ | 25/28 [00:28<00:03, 1.14s/it]\n 93%|█████████▎| 26/28 [00:29<00:02, 1.14s/it]\n 96%|█████████▋| 27/28 [00:30<00:01, 1.14s/it]\n100%|██████████| 28/28 [00:31<00:00, 1.14s/it]\n100%|██████████| 28/28 [00:31<00:00, 1.13s/it]", "metrics": { "predict_time": 89.12695927, "total_time": 105.967414 }, "output": [ "https://replicate.delivery/yhqm/vqwfdjCqYSScUqalxGRBUw6B7eaJe0TwnLdm62ZrvLT3V3xmA/out-0.webp", "https://replicate.delivery/yhqm/Ir8egoG26owiTa9fFYQh8nPtRXzZFuwivknKA83e9w62V3xmA/out-1.webp", "https://replicate.delivery/yhqm/DQvRpaHPokJEFhC4Ws0rPO5LUVFJTUmPnHzuZhd7lDzu6O2E/out-2.webp", "https://replicate.delivery/yhqm/kNKEPSrZDLb5PZ99TZ0r0cocxSQEXoWVS1IzLxarsX6u6O2E/out-3.webp" ], "started_at": "2024-09-02T18:48:02.365455Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/vhzche3yenrm40chpg8ahmh98g", "cancel": "https://api.replicate.com/v1/predictions/vhzche3yenrm40chpg8ahmh98g/cancel" }, "version": "ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d" }Generated inUsing seed: 48816 Prompt: P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized frog with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms. txt2img mode Using dev model Loading extra LoRA weights from: andreasjansson/flux-shapes free=9299639160832 Downloading weights 2024-09-02T18:48:02Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpui6yjnfp/weights url=https://replicate.delivery/yhqm/jMccx5FvNr5KDlz8dB2zJWsd817iVZFgfVJ9R55qKSYPX5rJA/trained_model.tar 2024-09-02T18:48:05Z | INFO | [ Complete ] dest=/tmp/tmpui6yjnfp/weights size="688 MB" total_elapsed=3.262s url=https://replicate.delivery/yhqm/jMccx5FvNr5KDlz8dB2zJWsd817iVZFgfVJ9R55qKSYPX5rJA/trained_model.tar Downloaded weights in 3.32s free=9298777419776 Downloading weights 2024-09-02T18:48:32Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpd8ugie0i/weights url=https://replicate.com/andreasjansson/flux-shapes/_weights 2024-09-02T18:48:33Z | INFO | [ Redirect ] redirect_url=https://replicate.delivery/yhqm/3iisiVryWZr4C1oaVHZys6Q8gIaGquFEpeHjc68wioMpzgqJA/trained_model.tar url=https://replicate.com/andreasjansson/flux-shapes/_weights 2024-09-02T18:48:35Z | INFO | [ Complete ] dest=/tmp/tmpd8ugie0i/weights size="172 MB" total_elapsed=2.746s url=https://replicate.com/andreasjansson/flux-shapes/_weights Downloaded weights in 2.78s Loaded LoRAs in 55.69s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:30, 1.14s/it] 7%|▋ | 2/28 [00:02<00:26, 1.04s/it] 11%|█ | 3/28 [00:03<00:27, 1.08s/it] 14%|█▍ | 4/28 [00:04<00:26, 1.10s/it] 18%|█▊ | 5/28 [00:05<00:25, 1.11s/it] 21%|██▏ | 6/28 [00:06<00:24, 1.12s/it] 25%|██▌ | 7/28 [00:07<00:23, 1.13s/it] 29%|██▊ | 8/28 [00:08<00:22, 1.13s/it] 32%|███▏ | 9/28 [00:10<00:21, 1.13s/it] 36%|███▌ | 10/28 [00:11<00:20, 1.13s/it] 39%|███▉ | 11/28 [00:12<00:19, 1.13s/it] 43%|████▎ | 12/28 [00:13<00:18, 1.13s/it] 46%|████▋ | 13/28 [00:14<00:17, 1.13s/it] 50%|█████ | 14/28 [00:15<00:15, 1.13s/it] 54%|█████▎ | 15/28 [00:16<00:14, 1.14s/it] 57%|█████▋ | 16/28 [00:17<00:13, 1.14s/it] 61%|██████ | 17/28 [00:19<00:12, 1.14s/it] 64%|██████▍ | 18/28 [00:20<00:11, 1.14s/it] 68%|██████▊ | 19/28 [00:21<00:10, 1.14s/it] 71%|███████▏ | 20/28 [00:22<00:09, 1.14s/it] 75%|███████▌ | 21/28 [00:23<00:07, 1.14s/it] 79%|███████▊ | 22/28 [00:24<00:06, 1.14s/it] 82%|████████▏ | 23/28 [00:25<00:05, 1.14s/it] 86%|████████▌ | 24/28 [00:27<00:04, 1.14s/it] 89%|████████▉ | 25/28 [00:28<00:03, 1.14s/it] 93%|█████████▎| 26/28 [00:29<00:02, 1.14s/it] 96%|█████████▋| 27/28 [00:30<00:01, 1.14s/it] 100%|██████████| 28/28 [00:31<00:00, 1.14s/it] 100%|██████████| 28/28 [00:31<00:00, 1.13s/it]Prediction
janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821dID8qgt3yf8v9rm60chpg9sxrc6s4StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized yann lecun with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.
- extra_lora
- andreasjansson/flux-shapes
- lora_scale
- 0.7
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 100
- extra_lora_scale
- 0.9
- num_inference_steps
- 28
{ "model": "dev", "prompt": "P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized yann lecun with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 0.7, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.9, "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 janghaludu/kocchaga using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", { input: { model: "dev", prompt: "P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized yann lecun with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.", extra_lora: "andreasjansson/flux-shapes", lora_scale: 0.7, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 100, extra_lora_scale: 0.9, 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 janghaludu/kocchaga using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", input={ "model": "dev", "prompt": "P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized yann lecun with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 0.7, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.9, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run janghaludu/kocchaga 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": "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", "input": { "model": "dev", "prompt": "P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there\'s a stylized yann lecun with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 0.7, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.9, "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": "2024-09-02T18:52:47.718215Z", "created_at": "2024-09-02T18:51:29.370000Z", "data_removed": false, "error": null, "id": "8qgt3yf8v9rm60chpg9sxrc6s4", "input": { "model": "dev", "prompt": "P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized yann lecun with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 0.7, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.9, "num_inference_steps": 28 }, "logs": "Using seed: 30876\nPrompt: P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized yann lecun with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.\ntxt2img mode\nUsing dev model\nLoading extra LoRA weights from: andreasjansson/flux-shapes\nfree=9178078875648\nDownloading weights\n2024-09-02T18:51:32Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpm3bclzt6/weights url=https://replicate.delivery/yhqm/jMccx5FvNr5KDlz8dB2zJWsd817iVZFgfVJ9R55qKSYPX5rJA/trained_model.tar\n2024-09-02T18:51:35Z | INFO | [ Complete ] dest=/tmp/tmpm3bclzt6/weights size=\"688 MB\" total_elapsed=2.370s url=https://replicate.delivery/yhqm/jMccx5FvNr5KDlz8dB2zJWsd817iVZFgfVJ9R55qKSYPX5rJA/trained_model.tar\nDownloaded weights in 2.43s\nfree=9177391382528\nDownloading weights\n2024-09-02T18:52:00Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpdumc7bcj/weights url=https://replicate.com/andreasjansson/flux-shapes/_weights\n2024-09-02T18:52:01Z | INFO | [ Redirect ] redirect_url=https://replicate.delivery/yhqm/3iisiVryWZr4C1oaVHZys6Q8gIaGquFEpeHjc68wioMpzgqJA/trained_model.tar url=https://replicate.com/andreasjansson/flux-shapes/_weights\n2024-09-02T18:52:04Z | INFO | [ Complete ] dest=/tmp/tmpdumc7bcj/weights size=\"172 MB\" total_elapsed=3.475s url=https://replicate.com/andreasjansson/flux-shapes/_weights\nDownloaded weights in 3.58s\nLoaded LoRAs in 41.08s\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['.', '.', '.', '.']\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:30, 1.14s/it]\n 7%|▋ | 2/28 [00:02<00:27, 1.05s/it]\n 11%|█ | 3/28 [00:03<00:27, 1.09s/it]\n 14%|█▍ | 4/28 [00:04<00:26, 1.11s/it]\n 18%|█▊ | 5/28 [00:05<00:25, 1.13s/it]\n 21%|██▏ | 6/28 [00:06<00:24, 1.13s/it]\n 25%|██▌ | 7/28 [00:07<00:23, 1.14s/it]\n 29%|██▊ | 8/28 [00:09<00:22, 1.14s/it]\n 32%|███▏ | 9/28 [00:10<00:21, 1.14s/it]\n 36%|███▌ | 10/28 [00:11<00:20, 1.15s/it]\n 39%|███▉ | 11/28 [00:12<00:19, 1.15s/it]\n 43%|████▎ | 12/28 [00:13<00:18, 1.15s/it]\n 46%|████▋ | 13/28 [00:14<00:17, 1.15s/it]\n 50%|█████ | 14/28 [00:15<00:16, 1.15s/it]\n 54%|█████▎ | 15/28 [00:17<00:14, 1.15s/it]\n 57%|█████▋ | 16/28 [00:18<00:13, 1.15s/it]\n 61%|██████ | 17/28 [00:19<00:12, 1.15s/it]\n 64%|██████▍ | 18/28 [00:20<00:11, 1.15s/it]\n 68%|██████▊ | 19/28 [00:21<00:10, 1.16s/it]\n 71%|███████▏ | 20/28 [00:22<00:09, 1.16s/it]\n 75%|███████▌ | 21/28 [00:24<00:08, 1.16s/it]\n 79%|███████▊ | 22/28 [00:25<00:06, 1.16s/it]\n 82%|████████▏ | 23/28 [00:26<00:05, 1.16s/it]\n 86%|████████▌ | 24/28 [00:27<00:04, 1.16s/it]\n 89%|████████▉ | 25/28 [00:28<00:03, 1.16s/it]\n 93%|█████████▎| 26/28 [00:29<00:02, 1.16s/it]\n 96%|█████████▋| 27/28 [00:30<00:01, 1.16s/it]\n100%|██████████| 28/28 [00:32<00:00, 1.16s/it]\n100%|██████████| 28/28 [00:32<00:00, 1.15s/it]", "metrics": { "predict_time": 74.997573222, "total_time": 78.348215 }, "output": [ "https://replicate.delivery/yhqm/zFXut99Rz2LmDNpmwfdfxN3Sa3RAeshVWLReFgx47td93ujNB/out-0.webp", "https://replicate.delivery/yhqm/2qFD9Q0QNp7aNBLFHy3wzcnJniY5Jfixuwnw1zVPgIpft7YTA/out-1.webp", "https://replicate.delivery/yhqm/CQntqc6dotopKFea5ZG92E0ywXJT99XKjRBOnOAypBrft7YTA/out-2.webp", "https://replicate.delivery/yhqm/AUeUvGVy8uQ7FSf3JyDgmXNiUD1lEAtNs9WAlaZd2MUfb3xmA/out-3.webp" ], "started_at": "2024-09-02T18:51:32.720642Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/8qgt3yf8v9rm60chpg9sxrc6s4", "cancel": "https://api.replicate.com/v1/predictions/8qgt3yf8v9rm60chpg9sxrc6s4/cancel" }, "version": "ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d" }Generated inUsing seed: 30876 Prompt: P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized yann lecun with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms. txt2img mode Using dev model Loading extra LoRA weights from: andreasjansson/flux-shapes free=9178078875648 Downloading weights 2024-09-02T18:51:32Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpm3bclzt6/weights url=https://replicate.delivery/yhqm/jMccx5FvNr5KDlz8dB2zJWsd817iVZFgfVJ9R55qKSYPX5rJA/trained_model.tar 2024-09-02T18:51:35Z | INFO | [ Complete ] dest=/tmp/tmpm3bclzt6/weights size="688 MB" total_elapsed=2.370s url=https://replicate.delivery/yhqm/jMccx5FvNr5KDlz8dB2zJWsd817iVZFgfVJ9R55qKSYPX5rJA/trained_model.tar Downloaded weights in 2.43s free=9177391382528 Downloading weights 2024-09-02T18:52:00Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpdumc7bcj/weights url=https://replicate.com/andreasjansson/flux-shapes/_weights 2024-09-02T18:52:01Z | INFO | [ Redirect ] redirect_url=https://replicate.delivery/yhqm/3iisiVryWZr4C1oaVHZys6Q8gIaGquFEpeHjc68wioMpzgqJA/trained_model.tar url=https://replicate.com/andreasjansson/flux-shapes/_weights 2024-09-02T18:52:04Z | INFO | [ Complete ] dest=/tmp/tmpdumc7bcj/weights size="172 MB" total_elapsed=3.475s url=https://replicate.com/andreasjansson/flux-shapes/_weights Downloaded weights in 3.58s Loaded LoRAs in 41.08s The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['.', '.', '.', '.'] 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:30, 1.14s/it] 7%|▋ | 2/28 [00:02<00:27, 1.05s/it] 11%|█ | 3/28 [00:03<00:27, 1.09s/it] 14%|█▍ | 4/28 [00:04<00:26, 1.11s/it] 18%|█▊ | 5/28 [00:05<00:25, 1.13s/it] 21%|██▏ | 6/28 [00:06<00:24, 1.13s/it] 25%|██▌ | 7/28 [00:07<00:23, 1.14s/it] 29%|██▊ | 8/28 [00:09<00:22, 1.14s/it] 32%|███▏ | 9/28 [00:10<00:21, 1.14s/it] 36%|███▌ | 10/28 [00:11<00:20, 1.15s/it] 39%|███▉ | 11/28 [00:12<00:19, 1.15s/it] 43%|████▎ | 12/28 [00:13<00:18, 1.15s/it] 46%|████▋ | 13/28 [00:14<00:17, 1.15s/it] 50%|█████ | 14/28 [00:15<00:16, 1.15s/it] 54%|█████▎ | 15/28 [00:17<00:14, 1.15s/it] 57%|█████▋ | 16/28 [00:18<00:13, 1.15s/it] 61%|██████ | 17/28 [00:19<00:12, 1.15s/it] 64%|██████▍ | 18/28 [00:20<00:11, 1.15s/it] 68%|██████▊ | 19/28 [00:21<00:10, 1.16s/it] 71%|███████▏ | 20/28 [00:22<00:09, 1.16s/it] 75%|███████▌ | 21/28 [00:24<00:08, 1.16s/it] 79%|███████▊ | 22/28 [00:25<00:06, 1.16s/it] 82%|████████▏ | 23/28 [00:26<00:05, 1.16s/it] 86%|████████▌ | 24/28 [00:27<00:04, 1.16s/it] 89%|████████▉ | 25/28 [00:28<00:03, 1.16s/it] 93%|█████████▎| 26/28 [00:29<00:02, 1.16s/it] 96%|█████████▋| 27/28 [00:30<00:01, 1.16s/it] 100%|██████████| 28/28 [00:32<00:00, 1.16s/it] 100%|██████████| 28/28 [00:32<00:00, 1.15s/it]Prediction
janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821dIDwbcm85krk9rm40chpgdt73p9kmStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized Yann Lecun with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.
- extra_lora
- andreasjansson/flux-shapes
- lora_scale
- 0.7
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 100
- extra_lora_scale
- 0.9
- num_inference_steps
- 28
{ "model": "dev", "prompt": "P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized Yann Lecun with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 0.7, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.9, "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 janghaludu/kocchaga using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", { input: { model: "dev", prompt: "P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized Yann Lecun with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.", extra_lora: "andreasjansson/flux-shapes", lora_scale: 0.7, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 100, extra_lora_scale: 0.9, 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 janghaludu/kocchaga using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", input={ "model": "dev", "prompt": "P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized Yann Lecun with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 0.7, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.9, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run janghaludu/kocchaga 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": "janghaludu/kocchaga:ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d", "input": { "model": "dev", "prompt": "P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there\'s a stylized Yann Lecun with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 0.7, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.9, "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": "2024-09-02T19:00:54.550461Z", "created_at": "2024-09-02T18:59:44.922000Z", "data_removed": false, "error": null, "id": "wbcm85krk9rm40chpgdt73p9km", "input": { "model": "dev", "prompt": "P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized Yann Lecun with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.", "extra_lora": "andreasjansson/flux-shapes", "lora_scale": 0.7, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.9, "num_inference_steps": 28 }, "logs": "Using seed: 24665\nPrompt: P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized Yann Lecun with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms.\ntxt2img mode\nUsing dev model\nLoading extra LoRA weights from: andreasjansson/flux-shapes\nLoaded LoRAs in 27.09s\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['.', '.', '.', '.']\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:31, 1.15s/it]\n 7%|▋ | 2/28 [00:02<00:27, 1.05s/it]\n 11%|█ | 3/28 [00:03<00:27, 1.10s/it]\n 14%|█▍ | 4/28 [00:04<00:26, 1.12s/it]\n 18%|█▊ | 5/28 [00:05<00:26, 1.13s/it]\n 21%|██▏ | 6/28 [00:06<00:25, 1.14s/it]\n 25%|██▌ | 7/28 [00:07<00:24, 1.14s/it]\n 29%|██▊ | 8/28 [00:09<00:22, 1.15s/it]\n 32%|███▏ | 9/28 [00:10<00:21, 1.15s/it]\n 36%|███▌ | 10/28 [00:11<00:20, 1.15s/it]\n 39%|███▉ | 11/28 [00:12<00:19, 1.15s/it]\n 43%|████▎ | 12/28 [00:13<00:18, 1.15s/it]\n 46%|████▋ | 13/28 [00:14<00:17, 1.15s/it]\n 50%|█████ | 14/28 [00:15<00:16, 1.15s/it]\n 54%|█████▎ | 15/28 [00:17<00:14, 1.15s/it]\n 57%|█████▋ | 16/28 [00:18<00:13, 1.15s/it]\n 61%|██████ | 17/28 [00:19<00:12, 1.15s/it]\n 64%|██████▍ | 18/28 [00:20<00:11, 1.15s/it]\n 68%|██████▊ | 19/28 [00:21<00:10, 1.15s/it]\n 71%|███████▏ | 20/28 [00:22<00:09, 1.15s/it]\n 75%|███████▌ | 21/28 [00:24<00:08, 1.15s/it]\n 79%|███████▊ | 22/28 [00:25<00:06, 1.15s/it]\n 82%|████████▏ | 23/28 [00:26<00:05, 1.15s/it]\n 86%|████████▌ | 24/28 [00:27<00:04, 1.16s/it]\n 89%|████████▉ | 25/28 [00:28<00:03, 1.16s/it]\n 93%|█████████▎| 26/28 [00:29<00:02, 1.16s/it]\n 96%|█████████▋| 27/28 [00:30<00:01, 1.15s/it]\n100%|██████████| 28/28 [00:32<00:00, 1.16s/it]\n100%|██████████| 28/28 [00:32<00:00, 1.15s/it]", "metrics": { "predict_time": 61.859714436, "total_time": 69.628461 }, "output": [ "https://replicate.delivery/yhqm/FrHec79ed1l4JUoWIcgUOg2xmA3kfF7aubou7j0fRRhXWvjNB/out-0.webp", "https://replicate.delivery/yhqm/8zKe1YFcKiyUeUfJ91fffkt27h2I5Sc6INtBzhK4gHtZZ9O2E/out-1.webp", "https://replicate.delivery/yhqm/1Xb6DFMGX37EL59JxjIUGopnudrMteBDZxp2CVxY7Ebz6dsJA/out-2.webp", "https://replicate.delivery/yhqm/JudNlUbmPl5DN5jlkaVYn1svvmeCRn60yWOhveoHkA1m17YTA/out-3.webp" ], "started_at": "2024-09-02T18:59:52.690746Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/wbcm85krk9rm40chpgdt73p9km", "cancel": "https://api.replicate.com/v1/predictions/wbcm85krk9rm40chpgdt73p9km/cancel" }, "version": "ae678e06c905f559a9a6de4a7a25079eeebb48e64fc66b923bfc631cc80f821d" }Generated inUsing seed: 24665 Prompt: P5GLTKH style composition of SHPS snowy mountains, Melting TOK SHPS vaporwave black and yellow, MS Paint line drawing madhubani style, A vibrant and eclectic digital collage. At its center, there's a stylized Yann Lecun with a large, exaggerated mouth showcasing teeth. The figure wears a cap with a colorful design and has tattoos on its arms. txt2img mode Using dev model Loading extra LoRA weights from: andreasjansson/flux-shapes Loaded LoRAs in 27.09s The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['.', '.', '.', '.'] 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:31, 1.15s/it] 7%|▋ | 2/28 [00:02<00:27, 1.05s/it] 11%|█ | 3/28 [00:03<00:27, 1.10s/it] 14%|█▍ | 4/28 [00:04<00:26, 1.12s/it] 18%|█▊ | 5/28 [00:05<00:26, 1.13s/it] 21%|██▏ | 6/28 [00:06<00:25, 1.14s/it] 25%|██▌ | 7/28 [00:07<00:24, 1.14s/it] 29%|██▊ | 8/28 [00:09<00:22, 1.15s/it] 32%|███▏ | 9/28 [00:10<00:21, 1.15s/it] 36%|███▌ | 10/28 [00:11<00:20, 1.15s/it] 39%|███▉ | 11/28 [00:12<00:19, 1.15s/it] 43%|████▎ | 12/28 [00:13<00:18, 1.15s/it] 46%|████▋ | 13/28 [00:14<00:17, 1.15s/it] 50%|█████ | 14/28 [00:15<00:16, 1.15s/it] 54%|█████▎ | 15/28 [00:17<00:14, 1.15s/it] 57%|█████▋ | 16/28 [00:18<00:13, 1.15s/it] 61%|██████ | 17/28 [00:19<00:12, 1.15s/it] 64%|██████▍ | 18/28 [00:20<00:11, 1.15s/it] 68%|██████▊ | 19/28 [00:21<00:10, 1.15s/it] 71%|███████▏ | 20/28 [00:22<00:09, 1.15s/it] 75%|███████▌ | 21/28 [00:24<00:08, 1.15s/it] 79%|███████▊ | 22/28 [00:25<00:06, 1.15s/it] 82%|████████▏ | 23/28 [00:26<00:05, 1.15s/it] 86%|████████▌ | 24/28 [00:27<00:04, 1.16s/it] 89%|████████▉ | 25/28 [00:28<00:03, 1.16s/it] 93%|█████████▎| 26/28 [00:29<00:02, 1.16s/it] 96%|█████████▋| 27/28 [00:30<00:01, 1.15s/it] 100%|██████████| 28/28 [00:32<00:00, 1.16s/it] 100%|██████████| 28/28 [00:32<00:00, 1.15s/it]
Want to make some of these yourself?
Run this model