heller-software / grumpy-cat
trained FLUX model on grumpy cat. Try my app: pet-photoai.com for images of your own pet
- Public
- 39 runs
-
H100
Prediction
heller-software/grumpy-cat:90da34d411d7cbba8d2aea549862dd1766ca3c5229d96259100dd8e3750eba59ID6c97kmhcjnrm40chzttt73z87mStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- GRMPY cat playing in the snow
- lora_scale
- 1
- num_outputs
- 2
- aspect_ratio
- 1:1
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "GRMPY cat playing in the snow", "lora_scale": 1, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run heller-software/grumpy-cat using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "heller-software/grumpy-cat:90da34d411d7cbba8d2aea549862dd1766ca3c5229d96259100dd8e3750eba59", { input: { model: "dev", prompt: "GRMPY cat playing in the snow", lora_scale: 1, num_outputs: 2, aspect_ratio: "1:1", output_format: "jpg", guidance_scale: 3.5, output_quality: 90, prompt_strength: 0.8, extra_lora_scale: 1, 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 heller-software/grumpy-cat using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "heller-software/grumpy-cat:90da34d411d7cbba8d2aea549862dd1766ca3c5229d96259100dd8e3750eba59", input={ "model": "dev", "prompt": "GRMPY cat playing in the snow", "lora_scale": 1, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run heller-software/grumpy-cat 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": "heller-software/grumpy-cat:90da34d411d7cbba8d2aea549862dd1766ca3c5229d96259100dd8e3750eba59", "input": { "model": "dev", "prompt": "GRMPY cat playing in the snow", "lora_scale": 1, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "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": "2024-09-17T06:40:15.860566Z", "created_at": "2024-09-17T06:39:31.989000Z", "data_removed": false, "error": null, "id": "6c97kmhcjnrm40chzttt73z87m", "input": { "model": "dev", "prompt": "GRMPY cat playing in the snow", "lora_scale": 1, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 49991\nPrompt: GRMPY cat playing in the snow\n[!] txt2img mode\nUsing dev model\nfree=7076179320832\nDownloading weights\n2024-09-17T06:39:32Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpu383cnck/weights url=https://replicate.delivery/yhqm/f48yKpxe2UlOVEpIILaSTSAki0CU0dY1lHQJl3mTjZcZMtdTA/trained_model.tar\n2024-09-17T06:39:53Z | INFO | [ Complete ] dest=/tmp/tmpu383cnck/weights size=\"172 MB\" total_elapsed=21.091s url=https://replicate.delivery/yhqm/f48yKpxe2UlOVEpIILaSTSAki0CU0dY1lHQJl3mTjZcZMtdTA/trained_model.tar\nDownloaded weights in 21.12s\nLoaded LoRAs in 28.18s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:14, 1.84it/s]\n 7%|▋ | 2/28 [00:00<00:12, 2.08it/s]\n 11%|█ | 3/28 [00:01<00:12, 1.96it/s]\n 14%|█▍ | 4/28 [00:02<00:12, 1.91it/s]\n 18%|█▊ | 5/28 [00:02<00:12, 1.88it/s]\n 21%|██▏ | 6/28 [00:03<00:11, 1.86it/s]\n 25%|██▌ | 7/28 [00:03<00:11, 1.85it/s]\n 29%|██▊ | 8/28 [00:04<00:10, 1.84it/s]\n 32%|███▏ | 9/28 [00:04<00:10, 1.84it/s]\n 36%|███▌ | 10/28 [00:05<00:09, 1.84it/s]\n 39%|███▉ | 11/28 [00:05<00:09, 1.83it/s]\n 43%|████▎ | 12/28 [00:06<00:08, 1.83it/s]\n 46%|████▋ | 13/28 [00:06<00:08, 1.83it/s]\n 50%|█████ | 14/28 [00:07<00:07, 1.83it/s]\n 54%|█████▎ | 15/28 [00:08<00:07, 1.83it/s]\n 57%|█████▋ | 16/28 [00:08<00:06, 1.83it/s]\n 61%|██████ | 17/28 [00:09<00:06, 1.83it/s]\n 64%|██████▍ | 18/28 [00:09<00:05, 1.83it/s]\n 68%|██████▊ | 19/28 [00:10<00:04, 1.83it/s]\n 71%|███████▏ | 20/28 [00:10<00:04, 1.83it/s]\n 75%|███████▌ | 21/28 [00:11<00:03, 1.83it/s]\n 79%|███████▊ | 22/28 [00:11<00:03, 1.83it/s]\n 82%|████████▏ | 23/28 [00:12<00:02, 1.83it/s]\n 86%|████████▌ | 24/28 [00:13<00:02, 1.83it/s]\n 89%|████████▉ | 25/28 [00:13<00:01, 1.83it/s]\n 93%|█████████▎| 26/28 [00:14<00:01, 1.83it/s]\n 96%|█████████▋| 27/28 [00:14<00:00, 1.83it/s]\n100%|██████████| 28/28 [00:15<00:00, 1.83it/s]\n100%|██████████| 28/28 [00:15<00:00, 1.84it/s]", "metrics": { "predict_time": 43.865133672, "total_time": 43.871566 }, "output": [ "https://replicate.delivery/yhqm/loC1cthVUfyfJE9JgyoMo5MFBjtveG2uyOgiKj1Vfqv8k12NB/out-0.jpg", "https://replicate.delivery/yhqm/JEQfmak987WycSeQ27q98wuKYH8Yp8necgTLLfNrFRu8k12NB/out-1.jpg" ], "started_at": "2024-09-17T06:39:31.995432Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/6c97kmhcjnrm40chzttt73z87m", "cancel": "https://api.replicate.com/v1/predictions/6c97kmhcjnrm40chzttt73z87m/cancel" }, "version": "90da34d411d7cbba8d2aea549862dd1766ca3c5229d96259100dd8e3750eba59" }Generated inUsing seed: 49991 Prompt: GRMPY cat playing in the snow [!] txt2img mode Using dev model free=7076179320832 Downloading weights 2024-09-17T06:39:32Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpu383cnck/weights url=https://replicate.delivery/yhqm/f48yKpxe2UlOVEpIILaSTSAki0CU0dY1lHQJl3mTjZcZMtdTA/trained_model.tar 2024-09-17T06:39:53Z | INFO | [ Complete ] dest=/tmp/tmpu383cnck/weights size="172 MB" total_elapsed=21.091s url=https://replicate.delivery/yhqm/f48yKpxe2UlOVEpIILaSTSAki0CU0dY1lHQJl3mTjZcZMtdTA/trained_model.tar Downloaded weights in 21.12s Loaded LoRAs in 28.18s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:14, 1.84it/s] 7%|▋ | 2/28 [00:00<00:12, 2.08it/s] 11%|█ | 3/28 [00:01<00:12, 1.96it/s] 14%|█▍ | 4/28 [00:02<00:12, 1.91it/s] 18%|█▊ | 5/28 [00:02<00:12, 1.88it/s] 21%|██▏ | 6/28 [00:03<00:11, 1.86it/s] 25%|██▌ | 7/28 [00:03<00:11, 1.85it/s] 29%|██▊ | 8/28 [00:04<00:10, 1.84it/s] 32%|███▏ | 9/28 [00:04<00:10, 1.84it/s] 36%|███▌ | 10/28 [00:05<00:09, 1.84it/s] 39%|███▉ | 11/28 [00:05<00:09, 1.83it/s] 43%|████▎ | 12/28 [00:06<00:08, 1.83it/s] 46%|████▋ | 13/28 [00:06<00:08, 1.83it/s] 50%|█████ | 14/28 [00:07<00:07, 1.83it/s] 54%|█████▎ | 15/28 [00:08<00:07, 1.83it/s] 57%|█████▋ | 16/28 [00:08<00:06, 1.83it/s] 61%|██████ | 17/28 [00:09<00:06, 1.83it/s] 64%|██████▍ | 18/28 [00:09<00:05, 1.83it/s] 68%|██████▊ | 19/28 [00:10<00:04, 1.83it/s] 71%|███████▏ | 20/28 [00:10<00:04, 1.83it/s] 75%|███████▌ | 21/28 [00:11<00:03, 1.83it/s] 79%|███████▊ | 22/28 [00:11<00:03, 1.83it/s] 82%|████████▏ | 23/28 [00:12<00:02, 1.83it/s] 86%|████████▌ | 24/28 [00:13<00:02, 1.83it/s] 89%|████████▉ | 25/28 [00:13<00:01, 1.83it/s] 93%|█████████▎| 26/28 [00:14<00:01, 1.83it/s] 96%|█████████▋| 27/28 [00:14<00:00, 1.83it/s] 100%|██████████| 28/28 [00:15<00:00, 1.83it/s] 100%|██████████| 28/28 [00:15<00:00, 1.84it/s]Prediction
heller-software/grumpy-cat:90da34d411d7cbba8d2aea549862dd1766ca3c5229d96259100dd8e3750eba59IDb41ppvvm7nrm60chzv2bg2rs80StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- GRMPY cat sitting on the edge of a grand piano in a luxurious ballroom, shot from a low angle, crystal chandeliers reflecting light in the background, rich golds and dark reds enhancing the scene’s elegance.
- lora_scale
- 1
- num_outputs
- 2
- aspect_ratio
- 1:1
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "GRMPY cat sitting on the edge of a grand piano in a luxurious ballroom, shot from a low angle, crystal chandeliers reflecting light in the background, rich golds and dark reds enhancing the scene’s elegance.", "lora_scale": 1, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run heller-software/grumpy-cat using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "heller-software/grumpy-cat:90da34d411d7cbba8d2aea549862dd1766ca3c5229d96259100dd8e3750eba59", { input: { model: "dev", prompt: "GRMPY cat sitting on the edge of a grand piano in a luxurious ballroom, shot from a low angle, crystal chandeliers reflecting light in the background, rich golds and dark reds enhancing the scene’s elegance.", lora_scale: 1, num_outputs: 2, aspect_ratio: "1:1", output_format: "jpg", guidance_scale: 3.5, output_quality: 90, prompt_strength: 0.8, extra_lora_scale: 1, 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 heller-software/grumpy-cat using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "heller-software/grumpy-cat:90da34d411d7cbba8d2aea549862dd1766ca3c5229d96259100dd8e3750eba59", input={ "model": "dev", "prompt": "GRMPY cat sitting on the edge of a grand piano in a luxurious ballroom, shot from a low angle, crystal chandeliers reflecting light in the background, rich golds and dark reds enhancing the scene’s elegance.", "lora_scale": 1, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run heller-software/grumpy-cat 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": "heller-software/grumpy-cat:90da34d411d7cbba8d2aea549862dd1766ca3c5229d96259100dd8e3750eba59", "input": { "model": "dev", "prompt": "GRMPY cat sitting on the edge of a grand piano in a luxurious ballroom, shot from a low angle, crystal chandeliers reflecting light in the background, rich golds and dark reds enhancing the scene’s elegance.", "lora_scale": 1, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "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": "2024-09-17T06:56:37.315832Z", "created_at": "2024-09-17T06:56:13.373000Z", "data_removed": false, "error": null, "id": "b41ppvvm7nrm60chzv2bg2rs80", "input": { "model": "dev", "prompt": "GRMPY cat sitting on the edge of a grand piano in a luxurious ballroom, shot from a low angle, crystal chandeliers reflecting light in the background, rich golds and dark reds enhancing the scene’s elegance.", "lora_scale": 1, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 47532\nPrompt: GRMPY cat sitting on the edge of a grand piano in a luxurious ballroom, shot from a low angle, crystal chandeliers reflecting light in the background, rich golds and dark reds enhancing the scene’s elegance.\n[!] txt2img mode\nUsing dev model\nfree=7447085817856\nDownloading weights\n2024-09-17T06:56:13Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmportst55r/weights url=https://replicate.delivery/yhqm/f48yKpxe2UlOVEpIILaSTSAki0CU0dY1lHQJl3mTjZcZMtdTA/trained_model.tar\n2024-09-17T06:56:14Z | INFO | [ Complete ] dest=/tmp/tmportst55r/weights size=\"172 MB\" total_elapsed=1.457s url=https://replicate.delivery/yhqm/f48yKpxe2UlOVEpIILaSTSAki0CU0dY1lHQJl3mTjZcZMtdTA/trained_model.tar\nDownloaded weights in 1.49s\nLoaded LoRAs in 8.34s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:14, 1.85it/s]\n 7%|▋ | 2/28 [00:00<00:12, 2.09it/s]\n 11%|█ | 3/28 [00:01<00:12, 1.97it/s]\n 14%|█▍ | 4/28 [00:02<00:12, 1.92it/s]\n 18%|█▊ | 5/28 [00:02<00:12, 1.89it/s]\n 21%|██▏ | 6/28 [00:03<00:11, 1.87it/s]\n 25%|██▌ | 7/28 [00:03<00:11, 1.86it/s]\n 29%|██▊ | 8/28 [00:04<00:10, 1.85it/s]\n 32%|███▏ | 9/28 [00:04<00:10, 1.85it/s]\n 36%|███▌ | 10/28 [00:05<00:09, 1.85it/s]\n 39%|███▉ | 11/28 [00:05<00:09, 1.84it/s]\n 43%|████▎ | 12/28 [00:06<00:08, 1.84it/s]\n 46%|████▋ | 13/28 [00:06<00:08, 1.84it/s]\n 50%|█████ | 14/28 [00:07<00:07, 1.84it/s]\n 54%|█████▎ | 15/28 [00:08<00:07, 1.84it/s]\n 57%|█████▋ | 16/28 [00:08<00:06, 1.84it/s]\n 61%|██████ | 17/28 [00:09<00:05, 1.84it/s]\n 64%|██████▍ | 18/28 [00:09<00:05, 1.84it/s]\n 68%|██████▊ | 19/28 [00:10<00:04, 1.84it/s]\n 71%|███████▏ | 20/28 [00:10<00:04, 1.84it/s]\n 75%|███████▌ | 21/28 [00:11<00:03, 1.84it/s]\n 79%|███████▊ | 22/28 [00:11<00:03, 1.84it/s]\n 82%|████████▏ | 23/28 [00:12<00:02, 1.84it/s]\n 86%|████████▌ | 24/28 [00:12<00:02, 1.84it/s]\n 89%|████████▉ | 25/28 [00:13<00:01, 1.84it/s]\n 93%|█████████▎| 26/28 [00:14<00:01, 1.84it/s]\n 96%|█████████▋| 27/28 [00:14<00:00, 1.84it/s]\n100%|██████████| 28/28 [00:15<00:00, 1.84it/s]\n100%|██████████| 28/28 [00:15<00:00, 1.85it/s]", "metrics": { "predict_time": 23.934846651, "total_time": 23.942832 }, "output": [ "https://replicate.delivery/yhqm/AbfmfetEvsK5OI0BwW4hYjvbeXh6qcmBim1mrBcf0ghsEttbC/out-0.jpg", "https://replicate.delivery/yhqm/OgpysN7MVCqADRGCTgC4fOtQW701WRyWYtNugYDDDm0S02uJA/out-1.jpg" ], "started_at": "2024-09-17T06:56:13.380986Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/b41ppvvm7nrm60chzv2bg2rs80", "cancel": "https://api.replicate.com/v1/predictions/b41ppvvm7nrm60chzv2bg2rs80/cancel" }, "version": "90da34d411d7cbba8d2aea549862dd1766ca3c5229d96259100dd8e3750eba59" }Generated inUsing seed: 47532 Prompt: GRMPY cat sitting on the edge of a grand piano in a luxurious ballroom, shot from a low angle, crystal chandeliers reflecting light in the background, rich golds and dark reds enhancing the scene’s elegance. [!] txt2img mode Using dev model free=7447085817856 Downloading weights 2024-09-17T06:56:13Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmportst55r/weights url=https://replicate.delivery/yhqm/f48yKpxe2UlOVEpIILaSTSAki0CU0dY1lHQJl3mTjZcZMtdTA/trained_model.tar 2024-09-17T06:56:14Z | INFO | [ Complete ] dest=/tmp/tmportst55r/weights size="172 MB" total_elapsed=1.457s url=https://replicate.delivery/yhqm/f48yKpxe2UlOVEpIILaSTSAki0CU0dY1lHQJl3mTjZcZMtdTA/trained_model.tar Downloaded weights in 1.49s Loaded LoRAs in 8.34s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:14, 1.85it/s] 7%|▋ | 2/28 [00:00<00:12, 2.09it/s] 11%|█ | 3/28 [00:01<00:12, 1.97it/s] 14%|█▍ | 4/28 [00:02<00:12, 1.92it/s] 18%|█▊ | 5/28 [00:02<00:12, 1.89it/s] 21%|██▏ | 6/28 [00:03<00:11, 1.87it/s] 25%|██▌ | 7/28 [00:03<00:11, 1.86it/s] 29%|██▊ | 8/28 [00:04<00:10, 1.85it/s] 32%|███▏ | 9/28 [00:04<00:10, 1.85it/s] 36%|███▌ | 10/28 [00:05<00:09, 1.85it/s] 39%|███▉ | 11/28 [00:05<00:09, 1.84it/s] 43%|████▎ | 12/28 [00:06<00:08, 1.84it/s] 46%|████▋ | 13/28 [00:06<00:08, 1.84it/s] 50%|█████ | 14/28 [00:07<00:07, 1.84it/s] 54%|█████▎ | 15/28 [00:08<00:07, 1.84it/s] 57%|█████▋ | 16/28 [00:08<00:06, 1.84it/s] 61%|██████ | 17/28 [00:09<00:05, 1.84it/s] 64%|██████▍ | 18/28 [00:09<00:05, 1.84it/s] 68%|██████▊ | 19/28 [00:10<00:04, 1.84it/s] 71%|███████▏ | 20/28 [00:10<00:04, 1.84it/s] 75%|███████▌ | 21/28 [00:11<00:03, 1.84it/s] 79%|███████▊ | 22/28 [00:11<00:03, 1.84it/s] 82%|████████▏ | 23/28 [00:12<00:02, 1.84it/s] 86%|████████▌ | 24/28 [00:12<00:02, 1.84it/s] 89%|████████▉ | 25/28 [00:13<00:01, 1.84it/s] 93%|█████████▎| 26/28 [00:14<00:01, 1.84it/s] 96%|█████████▋| 27/28 [00:14<00:00, 1.84it/s] 100%|██████████| 28/28 [00:15<00:00, 1.84it/s] 100%|██████████| 28/28 [00:15<00:00, 1.85it/s]
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