mbukerepo / pixel-forge
reverse-engineers images, faithfully reproducing prompts with precision
- Public
- 279 runs
-
A100 (80GB)
- License
Prediction
mbukerepo/pixel-forge:aac17fdad34de3e379e1b92c200a680e6fb21b326d338be828599e92a644fe2fID2kyw5erbepysgi6qkh6tmkwkfmStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
{ "mode": "best", "image": "https://replicate.delivery/pbxt/Kd6SIVamX1BJE91yWFtfgPI4XUcc6pfTIxCKa1Ok534lkwPj/replicate-prediction-lrmn5btbq2o5xpbksl56fw4y64.png", "clip_model_name": "ViT-bigG-14/laion2b_s39b_b160k" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run mbukerepo/pixel-forge using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "mbukerepo/pixel-forge:aac17fdad34de3e379e1b92c200a680e6fb21b326d338be828599e92a644fe2f", { input: { mode: "best", image: "https://replicate.delivery/pbxt/Kd6SIVamX1BJE91yWFtfgPI4XUcc6pfTIxCKa1Ok534lkwPj/replicate-prediction-lrmn5btbq2o5xpbksl56fw4y64.png", clip_model_name: "ViT-bigG-14/laion2b_s39b_b160k" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run mbukerepo/pixel-forge using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "mbukerepo/pixel-forge:aac17fdad34de3e379e1b92c200a680e6fb21b326d338be828599e92a644fe2f", input={ "mode": "best", "image": "https://replicate.delivery/pbxt/Kd6SIVamX1BJE91yWFtfgPI4XUcc6pfTIxCKa1Ok534lkwPj/replicate-prediction-lrmn5btbq2o5xpbksl56fw4y64.png", "clip_model_name": "ViT-bigG-14/laion2b_s39b_b160k" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run mbukerepo/pixel-forge 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": "mbukerepo/pixel-forge:aac17fdad34de3e379e1b92c200a680e6fb21b326d338be828599e92a644fe2f", "input": { "mode": "best", "image": "https://replicate.delivery/pbxt/Kd6SIVamX1BJE91yWFtfgPI4XUcc6pfTIxCKa1Ok534lkwPj/replicate-prediction-lrmn5btbq2o5xpbksl56fw4y64.png", "clip_model_name": "ViT-bigG-14/laion2b_s39b_b160k" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
arafed view of a grassy valley with a dirt road in the foreground, sylvain sarrailh and igor morski, beautiful”, marc adamus, joseph farquharson, minimalist ) ) ) ) ), happy colors dariusz zawadzki, in valhalla, very realistic photograph, by Evgeny Lushpin, morning shot, 4 8 0 p{ "completed_at": "2024-03-25T06:14:38.368705Z", "created_at": "2024-03-25T06:10:36.553976Z", "data_removed": false, "error": null, "id": "2kyw5erbepysgi6qkh6tmkwkfm", "input": { "mode": "best", "image": "https://replicate.delivery/pbxt/Kd6SIVamX1BJE91yWFtfgPI4XUcc6pfTIxCKa1Ok534lkwPj/replicate-prediction-lrmn5btbq2o5xpbksl56fw4y64.png", "clip_model_name": "ViT-bigG-14/laion2b_s39b_b160k" }, "logs": "Loading CLIP model ViT-bigG-14/laion2b_s39b_b160k...\nViT-bigG-14_laion2b_s39b_b160k_artists.safetensors: 0%| | 0.00/27.0M [00:00<?, ?B/s]\nViT-bigG-14_laion2b_s39b_b160k_artists.safetensors: 31%|███ | 8.39M/27.0M [00:00<00:00, 81.8MB/s]\nViT-bigG-14_laion2b_s39b_b160k_artists.safetensors: 100%|██████████| 27.0M/27.0M [00:00<00:00, 143MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 0%| | 0.00/258M [00:00<?, ?B/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 2%|▏ | 4.19M/258M [00:00<00:06, 39.8MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 5%|▍ | 12.6M/258M [00:00<00:04, 57.4MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 10%|▉ | 25.2M/258M [00:00<00:02, 82.8MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 19%|█▉ | 50.3M/258M [00:00<00:01, 138MB/s] \nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 29%|██▉ | 75.5M/258M [00:00<00:01, 172MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 39%|███▉ | 101M/258M [00:00<00:00, 189MB/s] \nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 49%|████▊ | 126M/258M [00:00<00:00, 200MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 58%|█████▊ | 151M/258M [00:00<00:00, 209MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 68%|██████▊ | 176M/258M [00:01<00:00, 211MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 78%|███████▊ | 201M/258M [00:01<00:00, 218MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 88%|████████▊ | 226M/258M [00:01<00:00, 222MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 97%|█████████▋| 252M/258M [00:01<00:00, 224MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 100%|██████████| 258M/258M [00:01<00:00, 189MB/s]\nViT-bigG-14_laion2b_s39b_b160k_mediums.safetensors: 0%| | 0.00/243k [00:00<?, ?B/s]\nViT-bigG-14_laion2b_s39b_b160k_mediums.safetensors: 100%|██████████| 243k/243k [00:00<00:00, 7.05MB/s]\nViT-bigG-14_laion2b_s39b_b160k_movements.safetensors: 0%| | 0.00/512k [00:00<?, ?B/s]\nViT-bigG-14_laion2b_s39b_b160k_movements.safetensors: 100%|██████████| 512k/512k [00:00<00:00, 10.6MB/s]\nViT-bigG-14_laion2b_s39b_b160k_trendings.safetensors: 0%| | 0.00/185k [00:00<?, ?B/s]\nViT-bigG-14_laion2b_s39b_b160k_trendings.safetensors: 100%|██████████| 185k/185k [00:00<00:00, 5.83MB/s]\nPreprocessing trendings: 0%| | 0/1 [00:00<?, ?it/s]\nPreprocessing trendings: 100%|██████████| 1/1 [00:00<00:00, 9.82it/s]\nPreprocessing trendings: 100%|██████████| 1/1 [00:00<00:00, 9.79it/s]\nViT-bigG-14_laion2b_s39b_b160k_negative.safetensors: 0%| | 0.00/105k [00:00<?, ?B/s]\nViT-bigG-14_laion2b_s39b_b160k_negative.safetensors: 100%|██████████| 105k/105k [00:00<00:00, 4.51MB/s]\nLoaded CLIP model and data in 94.50 seconds.\n 0%| | 0/55 [00:00<?, ?it/s]\n 29%|██▉ | 16/55 [00:00<00:00, 151.47it/s]\n 60%|██████ | 33/55 [00:00<00:00, 161.11it/s]\n 91%|█████████ | 50/55 [00:00<00:00, 163.50it/s]\n100%|██████████| 55/55 [00:00<00:00, 158.10it/s]\nFlavor chain: 0%| | 0/32 [00:00<?, ?it/s]\nFlavor chain: 3%|▎ | 1/32 [00:02<01:02, 2.01s/it]\nFlavor chain: 6%|▋ | 2/32 [00:03<00:59, 2.00s/it]\nFlavor chain: 9%|▉ | 3/32 [00:06<01:00, 2.10s/it]\nFlavor chain: 12%|█▎ | 4/32 [00:08<01:00, 2.18s/it]\nFlavor chain: 16%|█▌ | 5/32 [00:10<01:00, 2.24s/it]\nFlavor chain: 19%|█▉ | 6/32 [00:13<01:00, 2.32s/it]\nFlavor chain: 22%|██▏ | 7/32 [00:15<00:59, 2.39s/it]\nFlavor chain: 25%|██▌ | 8/32 [00:18<00:58, 2.46s/it]\nFlavor chain: 28%|██▊ | 9/32 [00:21<00:58, 2.52s/it]\nFlavor chain: 31%|███▏ | 10/32 [00:23<00:56, 2.59s/it]\nFlavor chain: 31%|███▏ | 10/32 [00:26<00:58, 2.66s/it]\n 0%| | 0/55 [00:00<?, ?it/s]\n 25%|██▌ | 14/55 [00:00<00:00, 137.32it/s]\n 55%|█████▍ | 30/55 [00:00<00:00, 146.34it/s]\n 82%|████████▏ | 45/55 [00:00<00:00, 145.19it/s]\n100%|██████████| 55/55 [00:00<00:00, 147.43it/s]\n 0%| | 0/6 [00:00<?, ?it/s]\n100%|██████████| 6/6 [00:00<00:00, 116.61it/s]\n 0%| | 0/50 [00:00<?, ?it/s]\n 32%|███▏ | 16/50 [00:00<00:00, 156.29it/s]\n 64%|██████▍ | 32/50 [00:00<00:00, 158.09it/s]\n 96%|█████████▌| 48/50 [00:00<00:00, 158.45it/s]\n100%|██████████| 50/50 [00:00<00:00, 159.88it/s]", "metrics": { "predict_time": 124.340611, "total_time": 241.814729 }, "output": "arafed view of a grassy valley with a dirt road in the foreground, sylvain sarrailh and igor morski, beautiful”, marc adamus, joseph farquharson, minimalist ) ) ) ) ), happy colors dariusz zawadzki, in valhalla, very realistic photograph, by Evgeny Lushpin, morning shot, 4 8 0 p", "started_at": "2024-03-25T06:12:34.028094Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/2kyw5erbepysgi6qkh6tmkwkfm", "cancel": "https://api.replicate.com/v1/predictions/2kyw5erbepysgi6qkh6tmkwkfm/cancel" }, "version": "aac17fdad34de3e379e1b92c200a680e6fb21b326d338be828599e92a644fe2f" }
Generated inLoading CLIP model ViT-bigG-14/laion2b_s39b_b160k... ViT-bigG-14_laion2b_s39b_b160k_artists.safetensors: 0%| | 0.00/27.0M [00:00<?, ?B/s] ViT-bigG-14_laion2b_s39b_b160k_artists.safetensors: 31%|███ | 8.39M/27.0M [00:00<00:00, 81.8MB/s] ViT-bigG-14_laion2b_s39b_b160k_artists.safetensors: 100%|██████████| 27.0M/27.0M [00:00<00:00, 143MB/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 0%| | 0.00/258M [00:00<?, ?B/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 2%|▏ | 4.19M/258M [00:00<00:06, 39.8MB/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 5%|▍ | 12.6M/258M [00:00<00:04, 57.4MB/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 10%|▉ | 25.2M/258M [00:00<00:02, 82.8MB/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 19%|█▉ | 50.3M/258M [00:00<00:01, 138MB/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 29%|██▉ | 75.5M/258M [00:00<00:01, 172MB/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 39%|███▉ | 101M/258M [00:00<00:00, 189MB/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 49%|████▊ | 126M/258M [00:00<00:00, 200MB/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 58%|█████▊ | 151M/258M [00:00<00:00, 209MB/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 68%|██████▊ | 176M/258M [00:01<00:00, 211MB/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 78%|███████▊ | 201M/258M [00:01<00:00, 218MB/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 88%|████████▊ | 226M/258M [00:01<00:00, 222MB/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 97%|█████████▋| 252M/258M [00:01<00:00, 224MB/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 100%|██████████| 258M/258M [00:01<00:00, 189MB/s] ViT-bigG-14_laion2b_s39b_b160k_mediums.safetensors: 0%| | 0.00/243k [00:00<?, ?B/s] ViT-bigG-14_laion2b_s39b_b160k_mediums.safetensors: 100%|██████████| 243k/243k [00:00<00:00, 7.05MB/s] ViT-bigG-14_laion2b_s39b_b160k_movements.safetensors: 0%| | 0.00/512k [00:00<?, ?B/s] ViT-bigG-14_laion2b_s39b_b160k_movements.safetensors: 100%|██████████| 512k/512k [00:00<00:00, 10.6MB/s] ViT-bigG-14_laion2b_s39b_b160k_trendings.safetensors: 0%| | 0.00/185k [00:00<?, ?B/s] ViT-bigG-14_laion2b_s39b_b160k_trendings.safetensors: 100%|██████████| 185k/185k [00:00<00:00, 5.83MB/s] Preprocessing trendings: 0%| | 0/1 [00:00<?, ?it/s] Preprocessing trendings: 100%|██████████| 1/1 [00:00<00:00, 9.82it/s] Preprocessing trendings: 100%|██████████| 1/1 [00:00<00:00, 9.79it/s] ViT-bigG-14_laion2b_s39b_b160k_negative.safetensors: 0%| | 0.00/105k [00:00<?, ?B/s] ViT-bigG-14_laion2b_s39b_b160k_negative.safetensors: 100%|██████████| 105k/105k [00:00<00:00, 4.51MB/s] Loaded CLIP model and data in 94.50 seconds. 0%| | 0/55 [00:00<?, ?it/s] 29%|██▉ | 16/55 [00:00<00:00, 151.47it/s] 60%|██████ | 33/55 [00:00<00:00, 161.11it/s] 91%|█████████ | 50/55 [00:00<00:00, 163.50it/s] 100%|██████████| 55/55 [00:00<00:00, 158.10it/s] Flavor chain: 0%| | 0/32 [00:00<?, ?it/s] Flavor chain: 3%|▎ | 1/32 [00:02<01:02, 2.01s/it] Flavor chain: 6%|▋ | 2/32 [00:03<00:59, 2.00s/it] Flavor chain: 9%|▉ | 3/32 [00:06<01:00, 2.10s/it] Flavor chain: 12%|█▎ | 4/32 [00:08<01:00, 2.18s/it] Flavor chain: 16%|█▌ | 5/32 [00:10<01:00, 2.24s/it] Flavor chain: 19%|█▉ | 6/32 [00:13<01:00, 2.32s/it] Flavor chain: 22%|██▏ | 7/32 [00:15<00:59, 2.39s/it] Flavor chain: 25%|██▌ | 8/32 [00:18<00:58, 2.46s/it] Flavor chain: 28%|██▊ | 9/32 [00:21<00:58, 2.52s/it] Flavor chain: 31%|███▏ | 10/32 [00:23<00:56, 2.59s/it] Flavor chain: 31%|███▏ | 10/32 [00:26<00:58, 2.66s/it] 0%| | 0/55 [00:00<?, ?it/s] 25%|██▌ | 14/55 [00:00<00:00, 137.32it/s] 55%|█████▍ | 30/55 [00:00<00:00, 146.34it/s] 82%|████████▏ | 45/55 [00:00<00:00, 145.19it/s] 100%|██████████| 55/55 [00:00<00:00, 147.43it/s] 0%| | 0/6 [00:00<?, ?it/s] 100%|██████████| 6/6 [00:00<00:00, 116.61it/s] 0%| | 0/50 [00:00<?, ?it/s] 32%|███▏ | 16/50 [00:00<00:00, 156.29it/s] 64%|██████▍ | 32/50 [00:00<00:00, 158.09it/s] 96%|█████████▌| 48/50 [00:00<00:00, 158.45it/s] 100%|██████████| 50/50 [00:00<00:00, 159.88it/s]
Prediction
mbukerepo/pixel-forge:aac17fdad34de3e379e1b92c200a680e6fb21b326d338be828599e92a644fe2fID2z2hehrbdxzetbhymlwvmaxceeStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
{ "mode": "best", "image": "https://replicate.delivery/pbxt/KdEw97oXc1n6dcDiciqWwOkJPrtGnsBW7ZdpXKP6bmo8Cmxk/unartig.jpg", "clip_model_name": "ViT-bigG-14/laion2b_s39b_b160k" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run mbukerepo/pixel-forge using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "mbukerepo/pixel-forge:aac17fdad34de3e379e1b92c200a680e6fb21b326d338be828599e92a644fe2f", { input: { mode: "best", image: "https://replicate.delivery/pbxt/KdEw97oXc1n6dcDiciqWwOkJPrtGnsBW7ZdpXKP6bmo8Cmxk/unartig.jpg", clip_model_name: "ViT-bigG-14/laion2b_s39b_b160k" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run mbukerepo/pixel-forge using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "mbukerepo/pixel-forge:aac17fdad34de3e379e1b92c200a680e6fb21b326d338be828599e92a644fe2f", input={ "mode": "best", "image": "https://replicate.delivery/pbxt/KdEw97oXc1n6dcDiciqWwOkJPrtGnsBW7ZdpXKP6bmo8Cmxk/unartig.jpg", "clip_model_name": "ViT-bigG-14/laion2b_s39b_b160k" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run mbukerepo/pixel-forge 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": "mbukerepo/pixel-forge:aac17fdad34de3e379e1b92c200a680e6fb21b326d338be828599e92a644fe2f", "input": { "mode": "best", "image": "https://replicate.delivery/pbxt/KdEw97oXc1n6dcDiciqWwOkJPrtGnsBW7ZdpXKP6bmo8Cmxk/unartig.jpg", "clip_model_name": "ViT-bigG-14/laion2b_s39b_b160k" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
there is a man and a child sitting on the floor playing with each other, warm lighting inside, shutterstock, night mood, cinestill 5 0 0, connection rituals, traditional medium, listing image, holding court, in the morning, manicured, fosters, may, cut, i'm dad, pod, center, straight, eco, 1 8{ "completed_at": "2024-03-25T15:29:02.056971Z", "created_at": "2024-03-25T15:25:31.571251Z", "data_removed": false, "error": null, "id": "2z2hehrbdxzetbhymlwvmaxcee", "input": { "mode": "best", "image": "https://replicate.delivery/pbxt/KdEw97oXc1n6dcDiciqWwOkJPrtGnsBW7ZdpXKP6bmo8Cmxk/unartig.jpg", "clip_model_name": "ViT-bigG-14/laion2b_s39b_b160k" }, "logs": "Loading CLIP model ViT-bigG-14/laion2b_s39b_b160k...\nViT-bigG-14_laion2b_s39b_b160k_artists.safetensors: 0%| | 0.00/27.0M [00:00<?, ?B/s]\nViT-bigG-14_laion2b_s39b_b160k_artists.safetensors: 16%|█▌ | 4.19M/27.0M [00:00<00:00, 36.7MB/s]\nViT-bigG-14_laion2b_s39b_b160k_artists.safetensors: 100%|██████████| 27.0M/27.0M [00:00<00:00, 128MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 0%| | 0.00/258M [00:00<?, ?B/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 3%|▎ | 8.39M/258M [00:00<00:03, 75.8MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 13%|█▎ | 33.6M/258M [00:00<00:01, 160MB/s] \nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 23%|██▎ | 58.7M/258M [00:00<00:01, 189MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 32%|███▏ | 83.9M/258M [00:00<00:00, 202MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 42%|████▏ | 109M/258M [00:00<00:00, 210MB/s] \nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 50%|█████ | 130M/258M [00:00<00:00, 208MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 60%|██████ | 155M/258M [00:00<00:00, 212MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 70%|██████▉ | 180M/258M [00:00<00:00, 215MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 80%|███████▉ | 206M/258M [00:01<00:00, 218MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 89%|████████▉ | 231M/258M [00:01<00:00, 219MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 99%|█████████▉| 256M/258M [00:01<00:00, 221MB/s]\nViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 100%|██████████| 258M/258M [00:01<00:00, 208MB/s]\nViT-bigG-14_laion2b_s39b_b160k_mediums.safetensors: 0%| | 0.00/243k [00:00<?, ?B/s]\nViT-bigG-14_laion2b_s39b_b160k_mediums.safetensors: 100%|██████████| 243k/243k [00:00<00:00, 6.36MB/s]\nViT-bigG-14_laion2b_s39b_b160k_movements.safetensors: 0%| | 0.00/512k [00:00<?, ?B/s]\nViT-bigG-14_laion2b_s39b_b160k_movements.safetensors: 100%|██████████| 512k/512k [00:00<00:00, 10.6MB/s]\nViT-bigG-14_laion2b_s39b_b160k_trendings.safetensors: 0%| | 0.00/185k [00:00<?, ?B/s]\nViT-bigG-14_laion2b_s39b_b160k_trendings.safetensors: 100%|██████████| 185k/185k [00:00<00:00, 5.97MB/s]\nPreprocessing trendings: 0%| | 0/1 [00:00<?, ?it/s]\nPreprocessing trendings: 100%|██████████| 1/1 [00:00<00:00, 7.94it/s]\nPreprocessing trendings: 100%|██████████| 1/1 [00:00<00:00, 7.91it/s]\nViT-bigG-14_laion2b_s39b_b160k_negative.safetensors: 0%| | 0.00/105k [00:00<?, ?B/s]\nViT-bigG-14_laion2b_s39b_b160k_negative.safetensors: 100%|██████████| 105k/105k [00:00<00:00, 4.31MB/s]\nLoaded CLIP model and data in 89.81 seconds.\n 0%| | 0/55 [00:00<?, ?it/s]\n 29%|██▉ | 16/55 [00:00<00:00, 156.07it/s]\n 62%|██████▏ | 34/55 [00:00<00:00, 166.26it/s]\n 95%|█████████▍| 52/55 [00:00<00:00, 168.62it/s]\n100%|██████████| 55/55 [00:00<00:00, 161.68it/s]\nFlavor chain: 0%| | 0/32 [00:00<?, ?it/s]\nFlavor chain: 3%|▎ | 1/32 [00:02<01:03, 2.06s/it]\nFlavor chain: 6%|▋ | 2/32 [00:04<01:00, 2.02s/it]\nFlavor chain: 9%|▉ | 3/32 [00:06<00:58, 2.02s/it]\nFlavor chain: 12%|█▎ | 4/32 [00:08<00:56, 2.02s/it]\nFlavor chain: 16%|█▌ | 5/32 [00:10<00:54, 2.03s/it]\nFlavor chain: 19%|█▉ | 6/32 [00:12<00:53, 2.05s/it]\nFlavor chain: 22%|██▏ | 7/32 [00:14<00:51, 2.07s/it]\nFlavor chain: 25%|██▌ | 8/32 [00:16<00:50, 2.09s/it]\nFlavor chain: 28%|██▊ | 9/32 [00:18<00:48, 2.11s/it]\nFlavor chain: 31%|███▏ | 10/32 [00:20<00:46, 2.13s/it]\nFlavor chain: 34%|███▍ | 11/32 [00:22<00:44, 2.14s/it]\nFlavor chain: 38%|███▊ | 12/32 [00:25<00:43, 2.15s/it]\nFlavor chain: 41%|████ | 13/32 [00:27<00:41, 2.18s/it]\nFlavor chain: 44%|████▍ | 14/32 [00:29<00:39, 2.20s/it]\nFlavor chain: 47%|████▋ | 15/32 [00:31<00:37, 2.23s/it]\nFlavor chain: 50%|█████ | 16/32 [00:34<00:36, 2.26s/it]\nFlavor chain: 53%|█████▎ | 17/32 [00:36<00:34, 2.27s/it]\nFlavor chain: 56%|█████▋ | 18/32 [00:38<00:32, 2.29s/it]\nFlavor chain: 59%|█████▉ | 19/32 [00:41<00:30, 2.31s/it]\nFlavor chain: 59%|█████▉ | 19/32 [00:43<00:29, 2.29s/it]\n 0%| | 0/55 [00:00<?, ?it/s]\n 31%|███ | 17/55 [00:00<00:00, 163.53it/s]\n 64%|██████▎ | 35/55 [00:00<00:00, 170.48it/s]\n 96%|█████████▋| 53/55 [00:00<00:00, 171.57it/s]\n100%|██████████| 55/55 [00:00<00:00, 171.27it/s]\n 0%| | 0/6 [00:00<?, ?it/s]\n100%|██████████| 6/6 [00:00<00:00, 128.36it/s]\n 0%| | 0/50 [00:00<?, ?it/s]\n 36%|███▌ | 18/50 [00:00<00:00, 170.07it/s]\n 72%|███████▏ | 36/50 [00:00<00:00, 162.26it/s]\n100%|██████████| 50/50 [00:00<00:00, 167.65it/s]", "metrics": { "predict_time": 137.092456, "total_time": 210.48572 }, "output": "there is a man and a child sitting on the floor playing with each other, warm lighting inside, shutterstock, night mood, cinestill 5 0 0, connection rituals, traditional medium, listing image, holding court, in the morning, manicured, fosters, may, cut, i'm dad, pod, center, straight, eco, 1 8", "started_at": "2024-03-25T15:26:44.964515Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/2z2hehrbdxzetbhymlwvmaxcee", "cancel": "https://api.replicate.com/v1/predictions/2z2hehrbdxzetbhymlwvmaxcee/cancel" }, "version": "aac17fdad34de3e379e1b92c200a680e6fb21b326d338be828599e92a644fe2f" }
Generated inLoading CLIP model ViT-bigG-14/laion2b_s39b_b160k... ViT-bigG-14_laion2b_s39b_b160k_artists.safetensors: 0%| | 0.00/27.0M [00:00<?, ?B/s] ViT-bigG-14_laion2b_s39b_b160k_artists.safetensors: 16%|█▌ | 4.19M/27.0M [00:00<00:00, 36.7MB/s] ViT-bigG-14_laion2b_s39b_b160k_artists.safetensors: 100%|██████████| 27.0M/27.0M [00:00<00:00, 128MB/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 0%| | 0.00/258M [00:00<?, ?B/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 3%|▎ | 8.39M/258M [00:00<00:03, 75.8MB/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 13%|█▎ | 33.6M/258M [00:00<00:01, 160MB/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 23%|██▎ | 58.7M/258M [00:00<00:01, 189MB/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 32%|███▏ | 83.9M/258M [00:00<00:00, 202MB/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 42%|████▏ | 109M/258M [00:00<00:00, 210MB/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 50%|█████ | 130M/258M [00:00<00:00, 208MB/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 60%|██████ | 155M/258M [00:00<00:00, 212MB/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 70%|██████▉ | 180M/258M [00:00<00:00, 215MB/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 80%|███████▉ | 206M/258M [00:01<00:00, 218MB/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 89%|████████▉ | 231M/258M [00:01<00:00, 219MB/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 99%|█████████▉| 256M/258M [00:01<00:00, 221MB/s] ViT-bigG-14_laion2b_s39b_b160k_flavors.safetensors: 100%|██████████| 258M/258M [00:01<00:00, 208MB/s] ViT-bigG-14_laion2b_s39b_b160k_mediums.safetensors: 0%| | 0.00/243k [00:00<?, ?B/s] ViT-bigG-14_laion2b_s39b_b160k_mediums.safetensors: 100%|██████████| 243k/243k [00:00<00:00, 6.36MB/s] ViT-bigG-14_laion2b_s39b_b160k_movements.safetensors: 0%| | 0.00/512k [00:00<?, ?B/s] ViT-bigG-14_laion2b_s39b_b160k_movements.safetensors: 100%|██████████| 512k/512k [00:00<00:00, 10.6MB/s] ViT-bigG-14_laion2b_s39b_b160k_trendings.safetensors: 0%| | 0.00/185k [00:00<?, ?B/s] ViT-bigG-14_laion2b_s39b_b160k_trendings.safetensors: 100%|██████████| 185k/185k [00:00<00:00, 5.97MB/s] Preprocessing trendings: 0%| | 0/1 [00:00<?, ?it/s] Preprocessing trendings: 100%|██████████| 1/1 [00:00<00:00, 7.94it/s] Preprocessing trendings: 100%|██████████| 1/1 [00:00<00:00, 7.91it/s] ViT-bigG-14_laion2b_s39b_b160k_negative.safetensors: 0%| | 0.00/105k [00:00<?, ?B/s] ViT-bigG-14_laion2b_s39b_b160k_negative.safetensors: 100%|██████████| 105k/105k [00:00<00:00, 4.31MB/s] Loaded CLIP model and data in 89.81 seconds. 0%| | 0/55 [00:00<?, ?it/s] 29%|██▉ | 16/55 [00:00<00:00, 156.07it/s] 62%|██████▏ | 34/55 [00:00<00:00, 166.26it/s] 95%|█████████▍| 52/55 [00:00<00:00, 168.62it/s] 100%|██████████| 55/55 [00:00<00:00, 161.68it/s] Flavor chain: 0%| | 0/32 [00:00<?, ?it/s] Flavor chain: 3%|▎ | 1/32 [00:02<01:03, 2.06s/it] Flavor chain: 6%|▋ | 2/32 [00:04<01:00, 2.02s/it] Flavor chain: 9%|▉ | 3/32 [00:06<00:58, 2.02s/it] Flavor chain: 12%|█▎ | 4/32 [00:08<00:56, 2.02s/it] Flavor chain: 16%|█▌ | 5/32 [00:10<00:54, 2.03s/it] Flavor chain: 19%|█▉ | 6/32 [00:12<00:53, 2.05s/it] Flavor chain: 22%|██▏ | 7/32 [00:14<00:51, 2.07s/it] Flavor chain: 25%|██▌ | 8/32 [00:16<00:50, 2.09s/it] Flavor chain: 28%|██▊ | 9/32 [00:18<00:48, 2.11s/it] Flavor chain: 31%|███▏ | 10/32 [00:20<00:46, 2.13s/it] Flavor chain: 34%|███▍ | 11/32 [00:22<00:44, 2.14s/it] Flavor chain: 38%|███▊ | 12/32 [00:25<00:43, 2.15s/it] Flavor chain: 41%|████ | 13/32 [00:27<00:41, 2.18s/it] Flavor chain: 44%|████▍ | 14/32 [00:29<00:39, 2.20s/it] Flavor chain: 47%|████▋ | 15/32 [00:31<00:37, 2.23s/it] Flavor chain: 50%|█████ | 16/32 [00:34<00:36, 2.26s/it] Flavor chain: 53%|█████▎ | 17/32 [00:36<00:34, 2.27s/it] Flavor chain: 56%|█████▋ | 18/32 [00:38<00:32, 2.29s/it] Flavor chain: 59%|█████▉ | 19/32 [00:41<00:30, 2.31s/it] Flavor chain: 59%|█████▉ | 19/32 [00:43<00:29, 2.29s/it] 0%| | 0/55 [00:00<?, ?it/s] 31%|███ | 17/55 [00:00<00:00, 163.53it/s] 64%|██████▎ | 35/55 [00:00<00:00, 170.48it/s] 96%|█████████▋| 53/55 [00:00<00:00, 171.57it/s] 100%|██████████| 55/55 [00:00<00:00, 171.27it/s] 0%| | 0/6 [00:00<?, ?it/s] 100%|██████████| 6/6 [00:00<00:00, 128.36it/s] 0%| | 0/50 [00:00<?, ?it/s] 36%|███▌ | 18/50 [00:00<00:00, 170.07it/s] 72%|███████▏ | 36/50 [00:00<00:00, 162.26it/s] 100%|██████████| 50/50 [00:00<00:00, 167.65it/s]
Want to make some of these yourself?
Run this model