pixelprotest
/
flux-monkey-island
Flux LoRa trained on Secret of Monkey Island
- Public
- 578 runs
-
L40S
Prediction
pixelprotest/flux-monkey-island:980fb0479cd3a8637643ee87a8c1b9b56b3db5dd08f1737cd9dbed3cda1af842IDte70mvx0gsrgm0chekyttpxy48StatusSucceededSourceWebHardwareA40Total durationCreatedInput
- prompt
- man on tropical beach hunting for treasure
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 16:9
- output_format
- jpg
- guidance_scale
- 4
- output_quality
- 80
- num_inference_steps
- 20
{ "prompt": "man on tropical beach hunting for treasure", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "jpg", "guidance_scale": 4, "output_quality": 80, "num_inference_steps": 20 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run pixelprotest/flux-monkey-island using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "pixelprotest/flux-monkey-island:980fb0479cd3a8637643ee87a8c1b9b56b3db5dd08f1737cd9dbed3cda1af842", { input: { prompt: "man on tropical beach hunting for treasure", lora_scale: 1, num_outputs: 1, aspect_ratio: "16:9", output_format: "jpg", guidance_scale: 4, output_quality: 80, num_inference_steps: 20 } } ); // 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 pixelprotest/flux-monkey-island using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "pixelprotest/flux-monkey-island:980fb0479cd3a8637643ee87a8c1b9b56b3db5dd08f1737cd9dbed3cda1af842", input={ "prompt": "man on tropical beach hunting for treasure", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "jpg", "guidance_scale": 4, "output_quality": 80, "num_inference_steps": 20 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run pixelprotest/flux-monkey-island 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": "980fb0479cd3a8637643ee87a8c1b9b56b3db5dd08f1737cd9dbed3cda1af842", "input": { "prompt": "man on tropical beach hunting for treasure", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "jpg", "guidance_scale": 4, "output_quality": 80, "num_inference_steps": 20 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-21T12:56:41.758988Z", "created_at": "2024-08-21T12:51:04.454000Z", "data_removed": false, "error": null, "id": "te70mvx0gsrgm0chekyttpxy48", "input": { "prompt": "man on tropical beach hunting for treasure", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "jpg", "guidance_scale": 4, "output_quality": 80, "num_inference_steps": 20 }, "logs": "Using seed: 38618\nPrompt: man on tropical beach hunting for treasure\ntxt2img mode\n---- lora is loaded: /src/lora/monkey_island_v002_10k.safetensors\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:11, 1.70it/s]\n 10%|█ | 2/20 [00:00<00:08, 2.07it/s]\n 15%|█▌ | 3/20 [00:01<00:08, 1.96it/s]\n 20%|██ | 4/20 [00:02<00:08, 1.91it/s]\n 25%|██▌ | 5/20 [00:02<00:07, 1.89it/s]\n 30%|███ | 6/20 [00:03<00:07, 1.87it/s]\n 35%|███▌ | 7/20 [00:03<00:06, 1.86it/s]\n 40%|████ | 8/20 [00:04<00:06, 1.85it/s]\n 45%|████▌ | 9/20 [00:04<00:05, 1.85it/s]\n 50%|█████ | 10/20 [00:05<00:05, 1.84it/s]\n 55%|█████▌ | 11/20 [00:05<00:04, 1.84it/s]\n 60%|██████ | 12/20 [00:06<00:04, 1.84it/s]\n 65%|██████▌ | 13/20 [00:06<00:03, 1.84it/s]\n 70%|███████ | 14/20 [00:07<00:03, 1.84it/s]\n 75%|███████▌ | 15/20 [00:08<00:02, 1.84it/s]\n 80%|████████ | 16/20 [00:08<00:02, 1.84it/s]\n 85%|████████▌ | 17/20 [00:09<00:01, 1.84it/s]\n 90%|█████████ | 18/20 [00:09<00:01, 1.84it/s]\n 95%|█████████▌| 19/20 [00:10<00:00, 1.84it/s]\n100%|██████████| 20/20 [00:10<00:00, 1.84it/s]\n100%|██████████| 20/20 [00:10<00:00, 1.85it/s]", "metrics": { "predict_time": 14.657889995, "total_time": 337.304988 }, "output": [ "https://replicate.delivery/pbxt/bi8qGF6vjkJaExdp8wPFNVI8waW3sW73SxR2RY8apJFCWO1E/out-0.jpg" ], "started_at": "2024-08-21T12:56:27.101098Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/te70mvx0gsrgm0chekyttpxy48", "cancel": "https://api.replicate.com/v1/predictions/te70mvx0gsrgm0chekyttpxy48/cancel" }, "version": "980fb0479cd3a8637643ee87a8c1b9b56b3db5dd08f1737cd9dbed3cda1af842" }Generated inUsing seed: 38618 Prompt: man on tropical beach hunting for treasure txt2img mode ---- lora is loaded: /src/lora/monkey_island_v002_10k.safetensors 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:11, 1.70it/s] 10%|█ | 2/20 [00:00<00:08, 2.07it/s] 15%|█▌ | 3/20 [00:01<00:08, 1.96it/s] 20%|██ | 4/20 [00:02<00:08, 1.91it/s] 25%|██▌ | 5/20 [00:02<00:07, 1.89it/s] 30%|███ | 6/20 [00:03<00:07, 1.87it/s] 35%|███▌ | 7/20 [00:03<00:06, 1.86it/s] 40%|████ | 8/20 [00:04<00:06, 1.85it/s] 45%|████▌ | 9/20 [00:04<00:05, 1.85it/s] 50%|█████ | 10/20 [00:05<00:05, 1.84it/s] 55%|█████▌ | 11/20 [00:05<00:04, 1.84it/s] 60%|██████ | 12/20 [00:06<00:04, 1.84it/s] 65%|██████▌ | 13/20 [00:06<00:03, 1.84it/s] 70%|███████ | 14/20 [00:07<00:03, 1.84it/s] 75%|███████▌ | 15/20 [00:08<00:02, 1.84it/s] 80%|████████ | 16/20 [00:08<00:02, 1.84it/s] 85%|████████▌ | 17/20 [00:09<00:01, 1.84it/s] 90%|█████████ | 18/20 [00:09<00:01, 1.84it/s] 95%|█████████▌| 19/20 [00:10<00:00, 1.84it/s] 100%|██████████| 20/20 [00:10<00:00, 1.84it/s] 100%|██████████| 20/20 [00:10<00:00, 1.85it/s]Prediction
pixelprotest/flux-monkey-island:980fb0479cd3a8637643ee87a8c1b9b56b3db5dd08f1737cd9dbed3cda1af842ID2yc9p0n179rgm0chem89a6y4vwStatusSucceededSourceWebHardwareA40Total durationCreatedInput
- prompt
- man sword fighting with a monkey on dock of the bay, background filled with ghost ships and burning ocean, massive flames
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 16:9
- output_format
- jpg
- guidance_scale
- 4
- output_quality
- 80
- num_inference_steps
- 20
{ "prompt": "man sword fighting with a monkey on dock of the bay, background filled with ghost ships and burning ocean, massive flames", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "jpg", "guidance_scale": 4, "output_quality": 80, "num_inference_steps": 20 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run pixelprotest/flux-monkey-island using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "pixelprotest/flux-monkey-island:980fb0479cd3a8637643ee87a8c1b9b56b3db5dd08f1737cd9dbed3cda1af842", { input: { prompt: "man sword fighting with a monkey on dock of the bay, background filled with ghost ships and burning ocean, massive flames", lora_scale: 1, num_outputs: 1, aspect_ratio: "16:9", output_format: "jpg", guidance_scale: 4, output_quality: 80, num_inference_steps: 20 } } ); // 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 pixelprotest/flux-monkey-island using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "pixelprotest/flux-monkey-island:980fb0479cd3a8637643ee87a8c1b9b56b3db5dd08f1737cd9dbed3cda1af842", input={ "prompt": "man sword fighting with a monkey on dock of the bay, background filled with ghost ships and burning ocean, massive flames", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "jpg", "guidance_scale": 4, "output_quality": 80, "num_inference_steps": 20 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run pixelprotest/flux-monkey-island 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": "980fb0479cd3a8637643ee87a8c1b9b56b3db5dd08f1737cd9dbed3cda1af842", "input": { "prompt": "man sword fighting with a monkey on dock of the bay, background filled with ghost ships and burning ocean, massive flames", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "jpg", "guidance_scale": 4, "output_quality": 80, "num_inference_steps": 20 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-21T13:12:04.711768Z", "created_at": "2024-08-21T13:11:49.818000Z", "data_removed": false, "error": null, "id": "2yc9p0n179rgm0chem89a6y4vw", "input": { "prompt": "man sword fighting with a monkey on dock of the bay, background filled with ghost ships and burning ocean, massive flames", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "jpg", "guidance_scale": 4, "output_quality": 80, "num_inference_steps": 20 }, "logs": "Using seed: 9680\nPrompt: man sword fighting with a monkey on dock of the bay, background filled with ghost ships and burning ocean, massive flames\ntxt2img mode\n---- lora is loaded: /src/lora/monkey_island_v002_10k.safetensors\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:10, 1.84it/s]\n 10%|█ | 2/20 [00:00<00:08, 2.16it/s]\n 15%|█▌ | 3/20 [00:01<00:08, 2.00it/s]\n 20%|██ | 4/20 [00:02<00:08, 1.93it/s]\n 25%|██▌ | 5/20 [00:02<00:07, 1.90it/s]\n 30%|███ | 6/20 [00:03<00:07, 1.88it/s]\n 35%|███▌ | 7/20 [00:03<00:06, 1.87it/s]\n 40%|████ | 8/20 [00:04<00:06, 1.86it/s]\n 45%|████▌ | 9/20 [00:04<00:05, 1.85it/s]\n 50%|█████ | 10/20 [00:05<00:05, 1.85it/s]\n 55%|█████▌ | 11/20 [00:05<00:04, 1.84it/s]\n 60%|██████ | 12/20 [00:06<00:04, 1.84it/s]\n 65%|██████▌ | 13/20 [00:06<00:03, 1.84it/s]\n 70%|███████ | 14/20 [00:07<00:03, 1.84it/s]\n 75%|███████▌ | 15/20 [00:08<00:02, 1.84it/s]\n 80%|████████ | 16/20 [00:08<00:02, 1.84it/s]\n 85%|████████▌ | 17/20 [00:09<00:01, 1.84it/s]\n 90%|█████████ | 18/20 [00:09<00:01, 1.84it/s]\n 95%|█████████▌| 19/20 [00:10<00:00, 1.84it/s]\n100%|██████████| 20/20 [00:10<00:00, 1.83it/s]\n100%|██████████| 20/20 [00:10<00:00, 1.86it/s]", "metrics": { "predict_time": 14.756768798, "total_time": 14.893768 }, "output": [ "https://replicate.delivery/pbxt/RXEUskejnfqLVUfpvhKeLMfyeHekFBW6BzTatWtFewykjm5UTA/out-0.jpg" ], "started_at": "2024-08-21T13:11:49.954999Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/2yc9p0n179rgm0chem89a6y4vw", "cancel": "https://api.replicate.com/v1/predictions/2yc9p0n179rgm0chem89a6y4vw/cancel" }, "version": "980fb0479cd3a8637643ee87a8c1b9b56b3db5dd08f1737cd9dbed3cda1af842" }Generated inUsing seed: 9680 Prompt: man sword fighting with a monkey on dock of the bay, background filled with ghost ships and burning ocean, massive flames txt2img mode ---- lora is loaded: /src/lora/monkey_island_v002_10k.safetensors 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:10, 1.84it/s] 10%|█ | 2/20 [00:00<00:08, 2.16it/s] 15%|█▌ | 3/20 [00:01<00:08, 2.00it/s] 20%|██ | 4/20 [00:02<00:08, 1.93it/s] 25%|██▌ | 5/20 [00:02<00:07, 1.90it/s] 30%|███ | 6/20 [00:03<00:07, 1.88it/s] 35%|███▌ | 7/20 [00:03<00:06, 1.87it/s] 40%|████ | 8/20 [00:04<00:06, 1.86it/s] 45%|████▌ | 9/20 [00:04<00:05, 1.85it/s] 50%|█████ | 10/20 [00:05<00:05, 1.85it/s] 55%|█████▌ | 11/20 [00:05<00:04, 1.84it/s] 60%|██████ | 12/20 [00:06<00:04, 1.84it/s] 65%|██████▌ | 13/20 [00:06<00:03, 1.84it/s] 70%|███████ | 14/20 [00:07<00:03, 1.84it/s] 75%|███████▌ | 15/20 [00:08<00:02, 1.84it/s] 80%|████████ | 16/20 [00:08<00:02, 1.84it/s] 85%|████████▌ | 17/20 [00:09<00:01, 1.84it/s] 90%|█████████ | 18/20 [00:09<00:01, 1.84it/s] 95%|█████████▌| 19/20 [00:10<00:00, 1.84it/s] 100%|██████████| 20/20 [00:10<00:00, 1.83it/s] 100%|██████████| 20/20 [00:10<00:00, 1.86it/s]Prediction
pixelprotest/flux-monkey-island:980fb0479cd3a8637643ee87a8c1b9b56b3db5dd08f1737cd9dbed3cda1af842IDjcs86cece5rgj0chemj8sda8dgStatusSucceededSourceWebHardwareA40Total durationCreatedInput
- prompt
- astronaut flying through space looking a monkeys floating eating giant bananas
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 16:9
- output_format
- jpg
- guidance_scale
- 4
- output_quality
- 80
- num_inference_steps
- 20
{ "prompt": "astronaut flying through space looking a monkeys floating eating giant bananas", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "jpg", "guidance_scale": 4, "output_quality": 80, "num_inference_steps": 20 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run pixelprotest/flux-monkey-island using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "pixelprotest/flux-monkey-island:980fb0479cd3a8637643ee87a8c1b9b56b3db5dd08f1737cd9dbed3cda1af842", { input: { prompt: "astronaut flying through space looking a monkeys floating eating giant bananas", lora_scale: 1, num_outputs: 1, aspect_ratio: "16:9", output_format: "jpg", guidance_scale: 4, output_quality: 80, num_inference_steps: 20 } } ); // 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 pixelprotest/flux-monkey-island using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "pixelprotest/flux-monkey-island:980fb0479cd3a8637643ee87a8c1b9b56b3db5dd08f1737cd9dbed3cda1af842", input={ "prompt": "astronaut flying through space looking a monkeys floating eating giant bananas", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "jpg", "guidance_scale": 4, "output_quality": 80, "num_inference_steps": 20 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run pixelprotest/flux-monkey-island 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": "980fb0479cd3a8637643ee87a8c1b9b56b3db5dd08f1737cd9dbed3cda1af842", "input": { "prompt": "astronaut flying through space looking a monkeys floating eating giant bananas", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "jpg", "guidance_scale": 4, "output_quality": 80, "num_inference_steps": 20 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-21T13:39:10.869122Z", "created_at": "2024-08-21T13:33:51.601000Z", "data_removed": false, "error": null, "id": "jcs86cece5rgj0chemj8sda8dg", "input": { "prompt": "astronaut flying through space looking a monkeys floating eating giant bananas", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "jpg", "guidance_scale": 4, "output_quality": 80, "num_inference_steps": 20 }, "logs": "Using seed: 63259\nPrompt: astronaut flying through space looking a monkeys floating eating giant bananas\ntxt2img mode\n---- lora is loaded: /src/lora/monkey_island_v002_10k.safetensors\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:00<00:12, 1.52it/s]\n 10%|█ | 2/20 [00:01<00:09, 1.96it/s]\n 15%|█▌ | 3/20 [00:01<00:08, 1.91it/s]\n 20%|██ | 4/20 [00:02<00:08, 1.88it/s]\n 25%|██▌ | 5/20 [00:02<00:08, 1.87it/s]\n 30%|███ | 6/20 [00:03<00:07, 1.86it/s]\n 35%|███▌ | 7/20 [00:03<00:07, 1.86it/s]\n 40%|████ | 8/20 [00:04<00:06, 1.85it/s]\n 45%|████▌ | 9/20 [00:04<00:05, 1.85it/s]\n 50%|█████ | 10/20 [00:05<00:05, 1.85it/s]\n 55%|█████▌ | 11/20 [00:05<00:04, 1.85it/s]\n 60%|██████ | 12/20 [00:06<00:04, 1.85it/s]\n 65%|██████▌ | 13/20 [00:07<00:03, 1.84it/s]\n 70%|███████ | 14/20 [00:07<00:03, 1.84it/s]\n 75%|███████▌ | 15/20 [00:08<00:02, 1.84it/s]\n 80%|████████ | 16/20 [00:08<00:02, 1.84it/s]\n 85%|████████▌ | 17/20 [00:09<00:01, 1.84it/s]\n 90%|█████████ | 18/20 [00:09<00:01, 1.84it/s]\n 95%|█████████▌| 19/20 [00:10<00:00, 1.84it/s]\n100%|██████████| 20/20 [00:10<00:00, 1.84it/s]\n100%|██████████| 20/20 [00:10<00:00, 1.85it/s]", "metrics": { "predict_time": 14.929652788, "total_time": 319.268122 }, "output": [ "https://replicate.delivery/pbxt/yudnsVjeWNTLLSfOysIlSoBtKew1smgTahMLEmBlwe75fPnaC/out-0.jpg" ], "started_at": "2024-08-21T13:38:55.939470Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/jcs86cece5rgj0chemj8sda8dg", "cancel": "https://api.replicate.com/v1/predictions/jcs86cece5rgj0chemj8sda8dg/cancel" }, "version": "980fb0479cd3a8637643ee87a8c1b9b56b3db5dd08f1737cd9dbed3cda1af842" }Generated inUsing seed: 63259 Prompt: astronaut flying through space looking a monkeys floating eating giant bananas txt2img mode ---- lora is loaded: /src/lora/monkey_island_v002_10k.safetensors 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:12, 1.52it/s] 10%|█ | 2/20 [00:01<00:09, 1.96it/s] 15%|█▌ | 3/20 [00:01<00:08, 1.91it/s] 20%|██ | 4/20 [00:02<00:08, 1.88it/s] 25%|██▌ | 5/20 [00:02<00:08, 1.87it/s] 30%|███ | 6/20 [00:03<00:07, 1.86it/s] 35%|███▌ | 7/20 [00:03<00:07, 1.86it/s] 40%|████ | 8/20 [00:04<00:06, 1.85it/s] 45%|████▌ | 9/20 [00:04<00:05, 1.85it/s] 50%|█████ | 10/20 [00:05<00:05, 1.85it/s] 55%|█████▌ | 11/20 [00:05<00:04, 1.85it/s] 60%|██████ | 12/20 [00:06<00:04, 1.85it/s] 65%|██████▌ | 13/20 [00:07<00:03, 1.84it/s] 70%|███████ | 14/20 [00:07<00:03, 1.84it/s] 75%|███████▌ | 15/20 [00:08<00:02, 1.84it/s] 80%|████████ | 16/20 [00:08<00:02, 1.84it/s] 85%|████████▌ | 17/20 [00:09<00:01, 1.84it/s] 90%|█████████ | 18/20 [00:09<00:01, 1.84it/s] 95%|█████████▌| 19/20 [00:10<00:00, 1.84it/s] 100%|██████████| 20/20 [00:10<00:00, 1.84it/s] 100%|██████████| 20/20 [00:10<00:00, 1.85it/s]
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