okturan / flux-yesilcam
Creates images similar to scenes found in Yeşilçam movies
- Public
- 118 runs
-
H100
Prediction
okturan/flux-yesilcam:f0d5cbd3956a98c5a1cb92d5536a6c60536bc0462b04d80c416b1d2c1d77a83bInput
- model
- dev
- width
- 512
- height
- 512
- prompt
- A scene from a YSLCM movie, A family in a station wagon parks two spots over from a grocer.
- lora_scale
- 1.2
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 35
{ "model": "dev", "width": 512, "height": 512, "prompt": "A scene from a YSLCM movie, A family in a station wagon parks two spots over from a grocer.", "lora_scale": 1.2, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 35 }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 okturan/flux-yesilcam using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "okturan/flux-yesilcam:f0d5cbd3956a98c5a1cb92d5536a6c60536bc0462b04d80c416b1d2c1d77a83b", { input: { model: "dev", width: 512, height: 512, prompt: "A scene from a YSLCM movie, A family in a station wagon parks two spots over from a grocer.", lora_scale: 1.2, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 35 } } ); // 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 okturan/flux-yesilcam using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "okturan/flux-yesilcam:f0d5cbd3956a98c5a1cb92d5536a6c60536bc0462b04d80c416b1d2c1d77a83b", input={ "model": "dev", "width": 512, "height": 512, "prompt": "A scene from a YSLCM movie, A family in a station wagon parks two spots over from a grocer.", "lora_scale": 1.2, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 35 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run okturan/flux-yesilcam 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": "okturan/flux-yesilcam:f0d5cbd3956a98c5a1cb92d5536a6c60536bc0462b04d80c416b1d2c1d77a83b", "input": { "model": "dev", "width": 512, "height": 512, "prompt": "A scene from a YSLCM movie, A family in a station wagon parks two spots over from a grocer.", "lora_scale": 1.2, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 35 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-28T22:55:16.173919Z", "created_at": "2024-08-28T22:54:27.093000Z", "data_removed": false, "error": null, "id": "9nwvtccd2nrm60chkcsanj91zw", "input": { "model": "dev", "width": 512, "height": 512, "prompt": "A scene from a YSLCM movie, A family in a station wagon parks two spots over from a grocer.", "lora_scale": 1.2, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 35 }, "logs": "Using seed: 41750\nPrompt: A scene from a YSLCM movie, A family in a station wagon parks two spots over from a grocer.\ntxt2img mode\nUsing dev model\nfree=9309006528512\nDownloading weights\n2024-08-28T22:54:27Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp4u0xbdbm/weights url=https://replicate.delivery/yhqm/9eHI5r9i1gRJB6KGX9J3Yw7o3fYkahHd0hfEfDfKf2ar4T11E/trained_model.tar\n2024-08-28T22:54:30Z | INFO | [ Complete ] dest=/tmp/tmp4u0xbdbm/weights size=\"172 MB\" total_elapsed=3.289s url=https://replicate.delivery/yhqm/9eHI5r9i1gRJB6KGX9J3Yw7o3fYkahHd0hfEfDfKf2ar4T11E/trained_model.tar\nDownloaded weights in 3.32s\nLoaded LoRAs in 10.88s\n 0%| | 0/35 [00:00<?, ?it/s]\n 3%|▎ | 1/35 [00:01<00:34, 1.02s/it]\n 6%|▌ | 2/35 [00:01<00:29, 1.12it/s]\n 9%|▊ | 3/35 [00:02<00:30, 1.05it/s]\n 11%|█▏ | 4/35 [00:03<00:30, 1.02it/s]\n 14%|█▍ | 5/35 [00:04<00:29, 1.01it/s]\n 17%|█▋ | 6/35 [00:05<00:29, 1.00s/it]\n 20%|██ | 7/35 [00:06<00:28, 1.01s/it]\n 23%|██▎ | 8/35 [00:07<00:27, 1.01s/it]\n 26%|██▌ | 9/35 [00:08<00:26, 1.02s/it]\n 29%|██▊ | 10/35 [00:09<00:25, 1.02s/it]\n 31%|███▏ | 11/35 [00:11<00:24, 1.02s/it]\n 34%|███▍ | 12/35 [00:12<00:23, 1.02s/it]\n 37%|███▋ | 13/35 [00:13<00:22, 1.02s/it]\n 40%|████ | 14/35 [00:14<00:21, 1.02s/it]\n 43%|████▎ | 15/35 [00:15<00:20, 1.02s/it]\n 46%|████▌ | 16/35 [00:16<00:19, 1.02s/it]\n 49%|████▊ | 17/35 [00:17<00:18, 1.02s/it]\n 51%|█████▏ | 18/35 [00:18<00:17, 1.02s/it]\n 54%|█████▍ | 19/35 [00:19<00:16, 1.02s/it]\n 57%|█████▋ | 20/35 [00:20<00:15, 1.02s/it]\n 60%|██████ | 21/35 [00:21<00:14, 1.02s/it]\n 63%|██████▎ | 22/35 [00:22<00:13, 1.02s/it]\n 66%|██████▌ | 23/35 [00:23<00:12, 1.02s/it]\n 69%|██████▊ | 24/35 [00:24<00:11, 1.02s/it]\n 71%|███████▏ | 25/35 [00:25<00:10, 1.02s/it]\n 74%|███████▍ | 26/35 [00:26<00:09, 1.02s/it]\n 77%|███████▋ | 27/35 [00:27<00:08, 1.02s/it]\n 80%|████████ | 28/35 [00:28<00:07, 1.02s/it]\n 83%|████████▎ | 29/35 [00:29<00:06, 1.02s/it]\n 86%|████████▌ | 30/35 [00:30<00:05, 1.02s/it]\n 89%|████████▊ | 31/35 [00:31<00:04, 1.02s/it]\n 91%|█████████▏| 32/35 [00:32<00:03, 1.02s/it]\n 94%|█████████▍| 33/35 [00:33<00:02, 1.02s/it]\n 97%|█████████▋| 34/35 [00:34<00:01, 1.02s/it]\n100%|██████████| 35/35 [00:35<00:00, 1.02s/it]\n100%|██████████| 35/35 [00:35<00:00, 1.02s/it]", "metrics": { "predict_time": 48.650712182, "total_time": 49.080919 }, "output": [ "https://replicate.delivery/yhqm/Nl8Uo0iw3UqJCllQYEv4nlelfkiKu6ie4lu9q38vsZBnmrumA/out-0.webp", "https://replicate.delivery/yhqm/Bc56LEWe4iRnFq9TOe7qCFWIRGSofOPvmineKQo4rUnONXdNB/out-1.webp", "https://replicate.delivery/yhqm/yuWI3JCZQ3IpMlfClWncBChaDwH9rY4eTi6a24OCDHjTzVXTA/out-2.webp", "https://replicate.delivery/yhqm/6LNHnshf8510SC3cmoKyGjaO0MZK6bvFvPbAXUCvStPq5qrJA/out-3.webp" ], "started_at": "2024-08-28T22:54:27.523206Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/9nwvtccd2nrm60chkcsanj91zw", "cancel": "https://api.replicate.com/v1/predictions/9nwvtccd2nrm60chkcsanj91zw/cancel" }, "version": "f0d5cbd3956a98c5a1cb92d5536a6c60536bc0462b04d80c416b1d2c1d77a83b" }Generated inUsing seed: 41750 Prompt: A scene from a YSLCM movie, A family in a station wagon parks two spots over from a grocer. txt2img mode Using dev model free=9309006528512 Downloading weights 2024-08-28T22:54:27Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp4u0xbdbm/weights url=https://replicate.delivery/yhqm/9eHI5r9i1gRJB6KGX9J3Yw7o3fYkahHd0hfEfDfKf2ar4T11E/trained_model.tar 2024-08-28T22:54:30Z | INFO | [ Complete ] dest=/tmp/tmp4u0xbdbm/weights size="172 MB" total_elapsed=3.289s url=https://replicate.delivery/yhqm/9eHI5r9i1gRJB6KGX9J3Yw7o3fYkahHd0hfEfDfKf2ar4T11E/trained_model.tar Downloaded weights in 3.32s Loaded LoRAs in 10.88s 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:01<00:34, 1.02s/it] 6%|▌ | 2/35 [00:01<00:29, 1.12it/s] 9%|▊ | 3/35 [00:02<00:30, 1.05it/s] 11%|█▏ | 4/35 [00:03<00:30, 1.02it/s] 14%|█▍ | 5/35 [00:04<00:29, 1.01it/s] 17%|█▋ | 6/35 [00:05<00:29, 1.00s/it] 20%|██ | 7/35 [00:06<00:28, 1.01s/it] 23%|██▎ | 8/35 [00:07<00:27, 1.01s/it] 26%|██▌ | 9/35 [00:08<00:26, 1.02s/it] 29%|██▊ | 10/35 [00:09<00:25, 1.02s/it] 31%|███▏ | 11/35 [00:11<00:24, 1.02s/it] 34%|███▍ | 12/35 [00:12<00:23, 1.02s/it] 37%|███▋ | 13/35 [00:13<00:22, 1.02s/it] 40%|████ | 14/35 [00:14<00:21, 1.02s/it] 43%|████▎ | 15/35 [00:15<00:20, 1.02s/it] 46%|████▌ | 16/35 [00:16<00:19, 1.02s/it] 49%|████▊ | 17/35 [00:17<00:18, 1.02s/it] 51%|█████▏ | 18/35 [00:18<00:17, 1.02s/it] 54%|█████▍ | 19/35 [00:19<00:16, 1.02s/it] 57%|█████▋ | 20/35 [00:20<00:15, 1.02s/it] 60%|██████ | 21/35 [00:21<00:14, 1.02s/it] 63%|██████▎ | 22/35 [00:22<00:13, 1.02s/it] 66%|██████▌ | 23/35 [00:23<00:12, 1.02s/it] 69%|██████▊ | 24/35 [00:24<00:11, 1.02s/it] 71%|███████▏ | 25/35 [00:25<00:10, 1.02s/it] 74%|███████▍ | 26/35 [00:26<00:09, 1.02s/it] 77%|███████▋ | 27/35 [00:27<00:08, 1.02s/it] 80%|████████ | 28/35 [00:28<00:07, 1.02s/it] 83%|████████▎ | 29/35 [00:29<00:06, 1.02s/it] 86%|████████▌ | 30/35 [00:30<00:05, 1.02s/it] 89%|████████▊ | 31/35 [00:31<00:04, 1.02s/it] 91%|█████████▏| 32/35 [00:32<00:03, 1.02s/it] 94%|█████████▍| 33/35 [00:33<00:02, 1.02s/it] 97%|█████████▋| 34/35 [00:34<00:01, 1.02s/it] 100%|██████████| 35/35 [00:35<00:00, 1.02s/it] 100%|██████████| 35/35 [00:35<00:00, 1.02s/it]Prediction
okturan/flux-yesilcam:ef30bb6872905ae91cc14c517cc8e8f146d604a22343f63f2599530f44b30c04Input
- model
- dev
- width
- 640
- height
- 640
- prompt
- A scene from a YSLCM movie, a man in a white undershirt and shorts sits on a radiator to the right, looking away. A woman in black lingerie is seated at a desk on the left, typing on a typewriter. The room features floral wallpaper and a mirrored wall, in the distinct style of a YSLCM movie
- lora_scale
- 0.95
- num_outputs
- 2
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.53
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "width": 640, "height": 640, "prompt": "A scene from a YSLCM movie, a man in a white undershirt and shorts sits on a radiator to the right, looking away. A woman in black lingerie is seated at a desk on the left, typing on a typewriter. The room features floral wallpaper and a mirrored wall, in the distinct style of a YSLCM movie", "lora_scale": 0.95, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.53, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run okturan/flux-yesilcam using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "okturan/flux-yesilcam:ef30bb6872905ae91cc14c517cc8e8f146d604a22343f63f2599530f44b30c04", { input: { model: "dev", width: 640, height: 640, prompt: "A scene from a YSLCM movie, a man in a white undershirt and shorts sits on a radiator to the right, looking away. A woman in black lingerie is seated at a desk on the left, typing on a typewriter. The room features floral wallpaper and a mirrored wall, in the distinct style of a YSLCM movie", lora_scale: 0.95, num_outputs: 2, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.53, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun okturan/flux-yesilcam using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "okturan/flux-yesilcam:ef30bb6872905ae91cc14c517cc8e8f146d604a22343f63f2599530f44b30c04", input={ "model": "dev", "width": 640, "height": 640, "prompt": "A scene from a YSLCM movie, a man in a white undershirt and shorts sits on a radiator to the right, looking away. A woman in black lingerie is seated at a desk on the left, typing on a typewriter. The room features floral wallpaper and a mirrored wall, in the distinct style of a YSLCM movie", "lora_scale": 0.95, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.53, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run okturan/flux-yesilcam 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": "okturan/flux-yesilcam:ef30bb6872905ae91cc14c517cc8e8f146d604a22343f63f2599530f44b30c04", "input": { "model": "dev", "width": 640, "height": 640, "prompt": "A scene from a YSLCM movie, a man in a white undershirt and shorts sits on a radiator to the right, looking away. A woman in black lingerie is seated at a desk on the left, typing on a typewriter. The room features floral wallpaper and a mirrored wall, in the distinct style of a YSLCM movie", "lora_scale": 0.95, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.53, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-29T00:19:50.062363Z", "created_at": "2024-08-29T00:19:21.564000Z", "data_removed": false, "error": null, "id": "n43swtj9bhrm40chke0awwvqsr", "input": { "model": "dev", "width": 640, "height": 640, "prompt": "A scene from a YSLCM movie, a man in a white undershirt and shorts sits on a radiator to the right, looking away. A woman in black lingerie is seated at a desk on the left, typing on a typewriter. The room features floral wallpaper and a mirrored wall, in the distinct style of a YSLCM movie", "lora_scale": 0.95, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.53, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 14971\nPrompt: A scene from a YSLCM movie, a man in a white undershirt and shorts sits on a radiator to the right, looking away. A woman in black lingerie is seated at a desk on the left, typing on a typewriter. The room features floral wallpaper and a mirrored wall, in the distinct style of a YSLCM movie\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 12.90s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:14, 1.91it/s]\n 7%|▋ | 2/28 [00:00<00:12, 2.15it/s]\n 11%|█ | 3/28 [00:01<00:12, 2.03it/s]\n 14%|█▍ | 4/28 [00:02<00:12, 1.98it/s]\n 18%|█▊ | 5/28 [00:02<00:11, 1.95it/s]\n 21%|██▏ | 6/28 [00:03<00:11, 1.93it/s]\n 25%|██▌ | 7/28 [00:03<00:10, 1.92it/s]\n 29%|██▊ | 8/28 [00:04<00:10, 1.91it/s]\n 32%|███▏ | 9/28 [00:04<00:09, 1.91it/s]\n 36%|███▌ | 10/28 [00:05<00:09, 1.91it/s]\n 39%|███▉ | 11/28 [00:05<00:08, 1.90it/s]\n 43%|████▎ | 12/28 [00:06<00:08, 1.90it/s]\n 46%|████▋ | 13/28 [00:06<00:07, 1.90it/s]\n 50%|█████ | 14/28 [00:07<00:07, 1.90it/s]\n 54%|█████▎ | 15/28 [00:07<00:06, 1.90it/s]\n 57%|█████▋ | 16/28 [00:08<00:06, 1.90it/s]\n 61%|██████ | 17/28 [00:08<00:05, 1.90it/s]\n 64%|██████▍ | 18/28 [00:09<00:05, 1.90it/s]\n 68%|██████▊ | 19/28 [00:09<00:04, 1.90it/s]\n 71%|███████▏ | 20/28 [00:10<00:04, 1.90it/s]\n 75%|███████▌ | 21/28 [00:10<00:03, 1.90it/s]\n 79%|███████▊ | 22/28 [00:11<00:03, 1.90it/s]\n 82%|████████▏ | 23/28 [00:12<00:02, 1.90it/s]\n 86%|████████▌ | 24/28 [00:12<00:02, 1.90it/s]\n 89%|████████▉ | 25/28 [00:13<00:01, 1.90it/s]\n 93%|█████████▎| 26/28 [00:13<00:01, 1.90it/s]\n 96%|█████████▋| 27/28 [00:14<00:00, 1.90it/s]\n100%|██████████| 28/28 [00:14<00:00, 1.90it/s]\n100%|██████████| 28/28 [00:14<00:00, 1.91it/s]", "metrics": { "predict_time": 28.49191286, "total_time": 28.498363 }, "output": [ "https://replicate.delivery/yhqm/fGrRUej2m3vM00eBt6cwHziuGtW6Nkjwz9OP6QevoQEVKcdNB/out-0.webp", "https://replicate.delivery/yhqm/NZTuoz3j2FKJEd9IfOxZkbs5kssgeDpntuc9VfKFLC6LFuumA/out-1.webp" ], "started_at": "2024-08-29T00:19:21.570450Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/n43swtj9bhrm40chke0awwvqsr", "cancel": "https://api.replicate.com/v1/predictions/n43swtj9bhrm40chke0awwvqsr/cancel" }, "version": "ef30bb6872905ae91cc14c517cc8e8f146d604a22343f63f2599530f44b30c04" }Generated inUsing seed: 14971 Prompt: A scene from a YSLCM movie, a man in a white undershirt and shorts sits on a radiator to the right, looking away. A woman in black lingerie is seated at a desk on the left, typing on a typewriter. The room features floral wallpaper and a mirrored wall, in the distinct style of a YSLCM movie txt2img mode Using dev model Loaded LoRAs in 12.90s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:14, 1.91it/s] 7%|▋ | 2/28 [00:00<00:12, 2.15it/s] 11%|█ | 3/28 [00:01<00:12, 2.03it/s] 14%|█▍ | 4/28 [00:02<00:12, 1.98it/s] 18%|█▊ | 5/28 [00:02<00:11, 1.95it/s] 21%|██▏ | 6/28 [00:03<00:11, 1.93it/s] 25%|██▌ | 7/28 [00:03<00:10, 1.92it/s] 29%|██▊ | 8/28 [00:04<00:10, 1.91it/s] 32%|███▏ | 9/28 [00:04<00:09, 1.91it/s] 36%|███▌ | 10/28 [00:05<00:09, 1.91it/s] 39%|███▉ | 11/28 [00:05<00:08, 1.90it/s] 43%|████▎ | 12/28 [00:06<00:08, 1.90it/s] 46%|████▋ | 13/28 [00:06<00:07, 1.90it/s] 50%|█████ | 14/28 [00:07<00:07, 1.90it/s] 54%|█████▎ | 15/28 [00:07<00:06, 1.90it/s] 57%|█████▋ | 16/28 [00:08<00:06, 1.90it/s] 61%|██████ | 17/28 [00:08<00:05, 1.90it/s] 64%|██████▍ | 18/28 [00:09<00:05, 1.90it/s] 68%|██████▊ | 19/28 [00:09<00:04, 1.90it/s] 71%|███████▏ | 20/28 [00:10<00:04, 1.90it/s] 75%|███████▌ | 21/28 [00:10<00:03, 1.90it/s] 79%|███████▊ | 22/28 [00:11<00:03, 1.90it/s] 82%|████████▏ | 23/28 [00:12<00:02, 1.90it/s] 86%|████████▌ | 24/28 [00:12<00:02, 1.90it/s] 89%|████████▉ | 25/28 [00:13<00:01, 1.90it/s] 93%|█████████▎| 26/28 [00:13<00:01, 1.90it/s] 96%|█████████▋| 27/28 [00:14<00:00, 1.90it/s] 100%|██████████| 28/28 [00:14<00:00, 1.90it/s] 100%|██████████| 28/28 [00:14<00:00, 1.91it/s]
Want to make some of these yourself?
Run this model