fofr / sd3-explorer
A model for experimenting with all the SD3 settings. Non-commercial use only, unless you have a Stability AI Self Hosted License.
Prediction
fofr/sd3-explorer:7c48d3a1f9e16683c3f1e546056becfe31b963a872384458703f7aa6a40a2c69IDz78h5v1dwxrgp0cg5cvrpgs2fcStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedby @fofrInput
- model
- sd3_medium_incl_clips_t5xxlfp16.safetensors
- shift
- 3
- steps
- 28
- width
- 1024
- height
- 1024
- prompt
- a man and woman are standing together against a backdrop, the backdrop is divided equally in half down the middle, left side is red, right side is gold, the woman is wearing a t-shirt with a yoda motif, she has a long skirt with birds on it, the man is wearing a three piece purple suit, he has spiky blue hair
- sampler
- dpmpp_2m
- scheduler
- sgm_uniform
- output_format
- webp
- guidance_scale
- 4.5
- output_quality
- 80
- negative_prompt
- number_of_images
- 1
- triple_prompt_t5
- use_triple_prompt
- triple_prompt_clip_g
- triple_prompt_clip_l
- negative_conditioning_end
- 0
- triple_prompt_empty_padding
{ "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors", "shift": 3, "steps": 28, "width": 1024, "height": 1024, "prompt": "a man and woman are standing together against a backdrop, the backdrop is divided equally in half down the middle, left side is red, right side is gold, the woman is wearing a t-shirt with a yoda motif, she has a long skirt with birds on it, the man is wearing a three piece purple suit, he has spiky blue hair", "sampler": "dpmpp_2m", "scheduler": "sgm_uniform", "output_format": "webp", "guidance_scale": 4.5, "output_quality": 80, "negative_prompt": "", "number_of_images": 1, "triple_prompt_t5": "", "use_triple_prompt": false, "triple_prompt_clip_g": "", "triple_prompt_clip_l": "", "negative_conditioning_end": 0, "triple_prompt_empty_padding": true }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 fofr/sd3-explorer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/sd3-explorer:7c48d3a1f9e16683c3f1e546056becfe31b963a872384458703f7aa6a40a2c69", { input: { model: "sd3_medium_incl_clips_t5xxlfp16.safetensors", shift: 3, steps: 28, width: 1024, height: 1024, prompt: "a man and woman are standing together against a backdrop, the backdrop is divided equally in half down the middle, left side is red, right side is gold, the woman is wearing a t-shirt with a yoda motif, she has a long skirt with birds on it, the man is wearing a three piece purple suit, he has spiky blue hair", sampler: "dpmpp_2m", scheduler: "sgm_uniform", output_format: "webp", guidance_scale: 4.5, output_quality: 80, negative_prompt: "", number_of_images: 1, triple_prompt_t5: "", use_triple_prompt: false, triple_prompt_clip_g: "", triple_prompt_clip_l: "", negative_conditioning_end: 0, triple_prompt_empty_padding: true } } ); // 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 fofr/sd3-explorer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/sd3-explorer:7c48d3a1f9e16683c3f1e546056becfe31b963a872384458703f7aa6a40a2c69", input={ "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors", "shift": 3, "steps": 28, "width": 1024, "height": 1024, "prompt": "a man and woman are standing together against a backdrop, the backdrop is divided equally in half down the middle, left side is red, right side is gold, the woman is wearing a t-shirt with a yoda motif, she has a long skirt with birds on it, the man is wearing a three piece purple suit, he has spiky blue hair", "sampler": "dpmpp_2m", "scheduler": "sgm_uniform", "output_format": "webp", "guidance_scale": 4.5, "output_quality": 80, "negative_prompt": "", "number_of_images": 1, "triple_prompt_t5": "", "use_triple_prompt": False, "triple_prompt_clip_g": "", "triple_prompt_clip_l": "", "negative_conditioning_end": 0, "triple_prompt_empty_padding": True } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run fofr/sd3-explorer 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": "fofr/sd3-explorer:7c48d3a1f9e16683c3f1e546056becfe31b963a872384458703f7aa6a40a2c69", "input": { "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors", "shift": 3, "steps": 28, "width": 1024, "height": 1024, "prompt": "a man and woman are standing together against a backdrop, the backdrop is divided equally in half down the middle, left side is red, right side is gold, the woman is wearing a t-shirt with a yoda motif, she has a long skirt with birds on it, the man is wearing a three piece purple suit, he has spiky blue hair", "sampler": "dpmpp_2m", "scheduler": "sgm_uniform", "output_format": "webp", "guidance_scale": 4.5, "output_quality": 80, "negative_prompt": "", "number_of_images": 1, "triple_prompt_t5": "", "use_triple_prompt": false, "triple_prompt_clip_g": "", "triple_prompt_clip_l": "", "negative_conditioning_end": 0, "triple_prompt_empty_padding": true } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-06-18T11:59:23.602030Z", "created_at": "2024-06-18T11:59:14.919000Z", "data_removed": false, "error": null, "id": "z78h5v1dwxrgp0cg5cvrpgs2fc", "input": { "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors", "shift": 3, "steps": 28, "width": 1024, "height": 1024, "prompt": "a man and woman are standing together against a backdrop, the backdrop is divided equally in half down the middle, left side is red, right side is gold, the woman is wearing a t-shirt with a yoda motif, she has a long skirt with birds on it, the man is wearing a three piece purple suit, he has spiky blue hair", "sampler": "dpmpp_2m", "scheduler": "sgm_uniform", "output_format": "webp", "guidance_scale": 4.5, "output_quality": 80, "negative_prompt": "", "number_of_images": 1, "triple_prompt_t5": "", "use_triple_prompt": false, "triple_prompt_clip_g": "", "triple_prompt_clip_l": "", "negative_conditioning_end": 0, "triple_prompt_empty_padding": true }, "logs": "Random seed set to: 2483966773\nRunning workflow\ngot prompt\nExecuting node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 271, title: KSampler, class type: KSampler\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:04, 5.89it/s]\n 7%|▋ | 2/28 [00:00<00:06, 3.93it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.09it/s]\n 14%|█▍ | 4/28 [00:00<00:05, 4.15it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 4.18it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 4.22it/s]\n 25%|██▌ | 7/28 [00:01<00:04, 4.24it/s]\n 29%|██▊ | 8/28 [00:01<00:04, 4.25it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 4.25it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 4.26it/s]\n 39%|███▉ | 11/28 [00:02<00:03, 4.26it/s]\n 43%|████▎ | 12/28 [00:02<00:03, 4.26it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 4.26it/s]\n 50%|█████ | 14/28 [00:03<00:03, 4.26it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 4.26it/s]\n 57%|█████▋ | 16/28 [00:03<00:02, 4.26it/s]\n 61%|██████ | 17/28 [00:03<00:02, 4.26it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 4.26it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 4.25it/s]\n 71%|███████▏ | 20/28 [00:04<00:01, 4.26it/s]\n 75%|███████▌ | 21/28 [00:04<00:01, 4.26it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 4.25it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 4.25it/s]\n 86%|████████▌ | 24/28 [00:05<00:00, 4.25it/s]\n 89%|████████▉ | 25/28 [00:05<00:00, 4.25it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 4.25it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 4.25it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.24it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.25it/s]\nExecuting node 231, title: VAE Decode, class type: VAEDecode\nExecuting node 273, title: Save Image, class type: SaveImage\nPrompt executed in 7.17 seconds\noutputs: {'273': {'images': [{'filename': 'SD3_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nSD3_00001_.png", "metrics": { "predict_time": 8.645392249, "total_time": 8.68303 }, "output": [ "https://replicate.delivery/pbxt/BnkJxF51oYZsBdGsgn6vGIkeQUO17GgTPloJCuM0LpQNR5fSA/SD3_00001_.webp" ], "started_at": "2024-06-18T11:59:14.956637Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/z78h5v1dwxrgp0cg5cvrpgs2fc", "cancel": "https://api.replicate.com/v1/predictions/z78h5v1dwxrgp0cg5cvrpgs2fc/cancel" }, "version": "7c48d3a1f9e16683c3f1e546056becfe31b963a872384458703f7aa6a40a2c69" }Generated inRandom seed set to: 2483966773 Running workflow got prompt Executing node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode Executing node 271, title: KSampler, class type: KSampler 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:04, 5.89it/s] 7%|▋ | 2/28 [00:00<00:06, 3.93it/s] 11%|█ | 3/28 [00:00<00:06, 4.09it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.15it/s] 18%|█▊ | 5/28 [00:01<00:05, 4.18it/s] 21%|██▏ | 6/28 [00:01<00:05, 4.22it/s] 25%|██▌ | 7/28 [00:01<00:04, 4.24it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.25it/s] 32%|███▏ | 9/28 [00:02<00:04, 4.25it/s] 36%|███▌ | 10/28 [00:02<00:04, 4.26it/s] 39%|███▉ | 11/28 [00:02<00:03, 4.26it/s] 43%|████▎ | 12/28 [00:02<00:03, 4.26it/s] 46%|████▋ | 13/28 [00:03<00:03, 4.26it/s] 50%|█████ | 14/28 [00:03<00:03, 4.26it/s] 54%|█████▎ | 15/28 [00:03<00:03, 4.26it/s] 57%|█████▋ | 16/28 [00:03<00:02, 4.26it/s] 61%|██████ | 17/28 [00:03<00:02, 4.26it/s] 64%|██████▍ | 18/28 [00:04<00:02, 4.26it/s] 68%|██████▊ | 19/28 [00:04<00:02, 4.25it/s] 71%|███████▏ | 20/28 [00:04<00:01, 4.26it/s] 75%|███████▌ | 21/28 [00:04<00:01, 4.26it/s] 79%|███████▊ | 22/28 [00:05<00:01, 4.25it/s] 82%|████████▏ | 23/28 [00:05<00:01, 4.25it/s] 86%|████████▌ | 24/28 [00:05<00:00, 4.25it/s] 89%|████████▉ | 25/28 [00:05<00:00, 4.25it/s] 93%|█████████▎| 26/28 [00:06<00:00, 4.25it/s] 96%|█████████▋| 27/28 [00:06<00:00, 4.25it/s] 100%|██████████| 28/28 [00:06<00:00, 4.24it/s] 100%|██████████| 28/28 [00:06<00:00, 4.25it/s] Executing node 231, title: VAE Decode, class type: VAEDecode Executing node 273, title: Save Image, class type: SaveImage Prompt executed in 7.17 seconds outputs: {'273': {'images': [{'filename': 'SD3_00001_.png', 'subfolder': '', 'type': 'output'}]}} ==================================== SD3_00001_.pngPrediction
fofr/sd3-explorer:7c48d3a1f9e16683c3f1e546056becfe31b963a872384458703f7aa6a40a2c69IDrmyej7edp9rgj0cg5cxtb6c52gStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedby @fofrInput
- model
- sd3_medium_incl_clips_t5xxlfp16.safetensors
- shift
- 1.5
- steps
- 28
- width
- 1024
- height
- 1024
- prompt
- a man and woman are standing together against a backdrop, the backdrop is divided equally in half down the middle, left side is blue, right side is orange, the woman is wearing a t-shirt with the word "wow" written on it, she has pink denim shorts, the man is wearing a three piece pinstriped white suit, he has a red afro and a long red beard
- sampler
- dpmpp_2m
- scheduler
- sgm_uniform
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- negative_prompt
- number_of_images
- 1
- triple_prompt_t5
- use_triple_prompt
- triple_prompt_clip_g
- triple_prompt_clip_l
- negative_conditioning_end
- 0
- triple_prompt_empty_padding
{ "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors", "shift": 1.5, "steps": 28, "width": 1024, "height": 1024, "prompt": "a man and woman are standing together against a backdrop, the backdrop is divided equally in half down the middle, left side is blue, right side is orange, the woman is wearing a t-shirt with the word \"wow\" written on it, she has pink denim shorts, the man is wearing a three piece pinstriped white suit, he has a red afro and a long red beard", "sampler": "dpmpp_2m", "scheduler": "sgm_uniform", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "negative_prompt": "", "number_of_images": 1, "triple_prompt_t5": "", "use_triple_prompt": false, "triple_prompt_clip_g": "", "triple_prompt_clip_l": "", "negative_conditioning_end": 0, "triple_prompt_empty_padding": true }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 fofr/sd3-explorer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/sd3-explorer:7c48d3a1f9e16683c3f1e546056becfe31b963a872384458703f7aa6a40a2c69", { input: { model: "sd3_medium_incl_clips_t5xxlfp16.safetensors", shift: 1.5, steps: 28, width: 1024, height: 1024, prompt: "a man and woman are standing together against a backdrop, the backdrop is divided equally in half down the middle, left side is blue, right side is orange, the woman is wearing a t-shirt with the word \"wow\" written on it, she has pink denim shorts, the man is wearing a three piece pinstriped white suit, he has a red afro and a long red beard", sampler: "dpmpp_2m", scheduler: "sgm_uniform", output_format: "webp", guidance_scale: 3.5, output_quality: 80, negative_prompt: "", number_of_images: 1, triple_prompt_t5: "", use_triple_prompt: false, triple_prompt_clip_g: "", triple_prompt_clip_l: "", negative_conditioning_end: 0, triple_prompt_empty_padding: true } } ); // 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 fofr/sd3-explorer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/sd3-explorer:7c48d3a1f9e16683c3f1e546056becfe31b963a872384458703f7aa6a40a2c69", input={ "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors", "shift": 1.5, "steps": 28, "width": 1024, "height": 1024, "prompt": "a man and woman are standing together against a backdrop, the backdrop is divided equally in half down the middle, left side is blue, right side is orange, the woman is wearing a t-shirt with the word \"wow\" written on it, she has pink denim shorts, the man is wearing a three piece pinstriped white suit, he has a red afro and a long red beard", "sampler": "dpmpp_2m", "scheduler": "sgm_uniform", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "negative_prompt": "", "number_of_images": 1, "triple_prompt_t5": "", "use_triple_prompt": False, "triple_prompt_clip_g": "", "triple_prompt_clip_l": "", "negative_conditioning_end": 0, "triple_prompt_empty_padding": True } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run fofr/sd3-explorer 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": "fofr/sd3-explorer:7c48d3a1f9e16683c3f1e546056becfe31b963a872384458703f7aa6a40a2c69", "input": { "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors", "shift": 1.5, "steps": 28, "width": 1024, "height": 1024, "prompt": "a man and woman are standing together against a backdrop, the backdrop is divided equally in half down the middle, left side is blue, right side is orange, the woman is wearing a t-shirt with the word \\"wow\\" written on it, she has pink denim shorts, the man is wearing a three piece pinstriped white suit, he has a red afro and a long red beard", "sampler": "dpmpp_2m", "scheduler": "sgm_uniform", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "negative_prompt": "", "number_of_images": 1, "triple_prompt_t5": "", "use_triple_prompt": false, "triple_prompt_clip_g": "", "triple_prompt_clip_l": "", "negative_conditioning_end": 0, "triple_prompt_empty_padding": true } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-06-18T12:04:26.373980Z", "created_at": "2024-06-18T12:04:17.970000Z", "data_removed": false, "error": null, "id": "rmyej7edp9rgj0cg5cxtb6c52g", "input": { "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors", "shift": 1.5, "steps": 28, "width": 1024, "height": 1024, "prompt": "a man and woman are standing together against a backdrop, the backdrop is divided equally in half down the middle, left side is blue, right side is orange, the woman is wearing a t-shirt with the word \"wow\" written on it, she has pink denim shorts, the man is wearing a three piece pinstriped white suit, he has a red afro and a long red beard", "sampler": "dpmpp_2m", "scheduler": "sgm_uniform", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "negative_prompt": "", "number_of_images": 1, "triple_prompt_t5": "", "use_triple_prompt": false, "triple_prompt_clip_g": "", "triple_prompt_clip_l": "", "negative_conditioning_end": 0, "triple_prompt_empty_padding": true }, "logs": "Random seed set to: 445009278\nRunning workflow\ngot prompt\nExecuting node 271, title: KSampler, class type: KSampler\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:04, 6.68it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.01it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.12it/s]\n 14%|█▍ | 4/28 [00:00<00:05, 4.16it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 4.19it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 4.21it/s]\n 25%|██▌ | 7/28 [00:01<00:04, 4.22it/s]\n 29%|██▊ | 8/28 [00:01<00:04, 4.22it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 4.22it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 4.23it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 4.23it/s]\n 43%|████▎ | 12/28 [00:02<00:03, 4.23it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 4.22it/s]\n 50%|█████ | 14/28 [00:03<00:03, 4.21it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 4.22it/s]\n 57%|█████▋ | 16/28 [00:03<00:02, 4.23it/s]\n 61%|██████ | 17/28 [00:04<00:02, 4.22it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 4.22it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 4.22it/s]\n 71%|███████▏ | 20/28 [00:04<00:01, 4.22it/s]\n 75%|███████▌ | 21/28 [00:04<00:01, 4.22it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 4.22it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 4.22it/s]\n 86%|████████▌ | 24/28 [00:05<00:00, 4.21it/s]\n 89%|████████▉ | 25/28 [00:05<00:00, 4.21it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 4.21it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 4.20it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.21it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.23it/s]\nExecuting node 231, title: VAE Decode, class type: VAEDecode\nExecuting node 273, title: Save Image, class type: SaveImage\nPrompt executed in 7.03 seconds\noutputs: {'273': {'images': [{'filename': 'SD3_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nSD3_00001_.png", "metrics": { "predict_time": 8.367438317, "total_time": 8.40398 }, "output": [ "https://replicate.delivery/pbxt/EZjY6eacb9yCTadulBb29AuaBBenu7oTmlpJsF0wV4gJnyflA/SD3_00001_.webp" ], "started_at": "2024-06-18T12:04:18.006542Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/rmyej7edp9rgj0cg5cxtb6c52g", "cancel": "https://api.replicate.com/v1/predictions/rmyej7edp9rgj0cg5cxtb6c52g/cancel" }, "version": "7c48d3a1f9e16683c3f1e546056becfe31b963a872384458703f7aa6a40a2c69" }Generated inRandom seed set to: 445009278 Running workflow got prompt Executing node 271, title: KSampler, class type: KSampler 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:04, 6.68it/s] 7%|▋ | 2/28 [00:00<00:06, 4.01it/s] 11%|█ | 3/28 [00:00<00:06, 4.12it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.16it/s] 18%|█▊ | 5/28 [00:01<00:05, 4.19it/s] 21%|██▏ | 6/28 [00:01<00:05, 4.21it/s] 25%|██▌ | 7/28 [00:01<00:04, 4.22it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.22it/s] 32%|███▏ | 9/28 [00:02<00:04, 4.22it/s] 36%|███▌ | 10/28 [00:02<00:04, 4.23it/s] 39%|███▉ | 11/28 [00:02<00:04, 4.23it/s] 43%|████▎ | 12/28 [00:02<00:03, 4.23it/s] 46%|████▋ | 13/28 [00:03<00:03, 4.22it/s] 50%|█████ | 14/28 [00:03<00:03, 4.21it/s] 54%|█████▎ | 15/28 [00:03<00:03, 4.22it/s] 57%|█████▋ | 16/28 [00:03<00:02, 4.23it/s] 61%|██████ | 17/28 [00:04<00:02, 4.22it/s] 64%|██████▍ | 18/28 [00:04<00:02, 4.22it/s] 68%|██████▊ | 19/28 [00:04<00:02, 4.22it/s] 71%|███████▏ | 20/28 [00:04<00:01, 4.22it/s] 75%|███████▌ | 21/28 [00:04<00:01, 4.22it/s] 79%|███████▊ | 22/28 [00:05<00:01, 4.22it/s] 82%|████████▏ | 23/28 [00:05<00:01, 4.22it/s] 86%|████████▌ | 24/28 [00:05<00:00, 4.21it/s] 89%|████████▉ | 25/28 [00:05<00:00, 4.21it/s] 93%|█████████▎| 26/28 [00:06<00:00, 4.21it/s] 96%|█████████▋| 27/28 [00:06<00:00, 4.20it/s] 100%|██████████| 28/28 [00:06<00:00, 4.21it/s] 100%|██████████| 28/28 [00:06<00:00, 4.23it/s] Executing node 231, title: VAE Decode, class type: VAEDecode Executing node 273, title: Save Image, class type: SaveImage Prompt executed in 7.03 seconds outputs: {'273': {'images': [{'filename': 'SD3_00001_.png', 'subfolder': '', 'type': 'output'}]}} ==================================== SD3_00001_.pngPrediction
fofr/sd3-explorer:7c48d3a1f9e16683c3f1e546056becfe31b963a872384458703f7aa6a40a2c69IDgbfaehpz51rgg0cg5d0a87tk4cStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- model
- sd3_medium_incl_clips_t5xxlfp16.safetensors
- shift
- 2
- steps
- 32
- width
- 1024
- height
- 1024
- prompt
- a man and woman are standing together against a backdrop, the backdrop is divided equally in half down the middle, left side is blue, right side is orange, on the backdrop is written "FOFR", the woman is wearing pink glasses, a t-shirt with the word "wow" written on it, she has pink denim shorts, the man is wearing a three piece pinstriped white suit, the man is wearing a green VR headset
- sampler
- dpmpp_2m
- scheduler
- sgm_uniform
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- negative_prompt
- number_of_images
- 1
- triple_prompt_t5
- use_triple_prompt
- triple_prompt_clip_g
- triple_prompt_clip_l
- negative_conditioning_end
- 0
- triple_prompt_empty_padding
{ "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors", "shift": 2, "steps": 32, "width": 1024, "height": 1024, "prompt": "a man and woman are standing together against a backdrop, the backdrop is divided equally in half down the middle, left side is blue, right side is orange, on the backdrop is written \"FOFR\", the woman is wearing pink glasses, a t-shirt with the word \"wow\" written on it, she has pink denim shorts, the man is wearing a three piece pinstriped white suit, the man is wearing a green VR headset", "sampler": "dpmpp_2m", "scheduler": "sgm_uniform", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "negative_prompt": "", "number_of_images": 1, "triple_prompt_t5": "", "use_triple_prompt": false, "triple_prompt_clip_g": "", "triple_prompt_clip_l": "", "negative_conditioning_end": 0, "triple_prompt_empty_padding": true }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 fofr/sd3-explorer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/sd3-explorer:7c48d3a1f9e16683c3f1e546056becfe31b963a872384458703f7aa6a40a2c69", { input: { model: "sd3_medium_incl_clips_t5xxlfp16.safetensors", shift: 2, steps: 32, width: 1024, height: 1024, prompt: "a man and woman are standing together against a backdrop, the backdrop is divided equally in half down the middle, left side is blue, right side is orange, on the backdrop is written \"FOFR\", the woman is wearing pink glasses, a t-shirt with the word \"wow\" written on it, she has pink denim shorts, the man is wearing a three piece pinstriped white suit, the man is wearing a green VR headset", sampler: "dpmpp_2m", scheduler: "sgm_uniform", output_format: "webp", guidance_scale: 3.5, output_quality: 80, negative_prompt: "", number_of_images: 1, triple_prompt_t5: "", use_triple_prompt: false, triple_prompt_clip_g: "", triple_prompt_clip_l: "", negative_conditioning_end: 0, triple_prompt_empty_padding: true } } ); // 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 fofr/sd3-explorer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/sd3-explorer:7c48d3a1f9e16683c3f1e546056becfe31b963a872384458703f7aa6a40a2c69", input={ "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors", "shift": 2, "steps": 32, "width": 1024, "height": 1024, "prompt": "a man and woman are standing together against a backdrop, the backdrop is divided equally in half down the middle, left side is blue, right side is orange, on the backdrop is written \"FOFR\", the woman is wearing pink glasses, a t-shirt with the word \"wow\" written on it, she has pink denim shorts, the man is wearing a three piece pinstriped white suit, the man is wearing a green VR headset", "sampler": "dpmpp_2m", "scheduler": "sgm_uniform", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "negative_prompt": "", "number_of_images": 1, "triple_prompt_t5": "", "use_triple_prompt": False, "triple_prompt_clip_g": "", "triple_prompt_clip_l": "", "negative_conditioning_end": 0, "triple_prompt_empty_padding": True } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run fofr/sd3-explorer 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": "fofr/sd3-explorer:7c48d3a1f9e16683c3f1e546056becfe31b963a872384458703f7aa6a40a2c69", "input": { "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors", "shift": 2, "steps": 32, "width": 1024, "height": 1024, "prompt": "a man and woman are standing together against a backdrop, the backdrop is divided equally in half down the middle, left side is blue, right side is orange, on the backdrop is written \\"FOFR\\", the woman is wearing pink glasses, a t-shirt with the word \\"wow\\" written on it, she has pink denim shorts, the man is wearing a three piece pinstriped white suit, the man is wearing a green VR headset", "sampler": "dpmpp_2m", "scheduler": "sgm_uniform", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "negative_prompt": "", "number_of_images": 1, "triple_prompt_t5": "", "use_triple_prompt": false, "triple_prompt_clip_g": "", "triple_prompt_clip_l": "", "negative_conditioning_end": 0, "triple_prompt_empty_padding": true } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-06-18T12:09:59.800774Z", "created_at": "2024-06-18T12:09:50.120000Z", "data_removed": false, "error": null, "id": "gbfaehpz51rgg0cg5d0a87tk4c", "input": { "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors", "shift": 2, "steps": 32, "width": 1024, "height": 1024, "prompt": "a man and woman are standing together against a backdrop, the backdrop is divided equally in half down the middle, left side is blue, right side is orange, on the backdrop is written \"FOFR\", the woman is wearing pink glasses, a t-shirt with the word \"wow\" written on it, she has pink denim shorts, the man is wearing a three piece pinstriped white suit, the man is wearing a green VR headset", "sampler": "dpmpp_2m", "scheduler": "sgm_uniform", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "negative_prompt": "", "number_of_images": 1, "triple_prompt_t5": "", "use_triple_prompt": false, "triple_prompt_clip_g": "", "triple_prompt_clip_l": "", "negative_conditioning_end": 0, "triple_prompt_empty_padding": true }, "logs": "Random seed set to: 615199750\nRunning workflow\ngot prompt\nExecuting node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 271, title: KSampler, class type: KSampler\n 0%| | 0/32 [00:00<?, ?it/s]\n 3%|▎ | 1/32 [00:00<00:04, 6.87it/s]\n 6%|▋ | 2/32 [00:00<00:07, 4.00it/s]\n 9%|▉ | 3/32 [00:00<00:07, 4.11it/s]\n 12%|█▎ | 4/32 [00:00<00:06, 4.13it/s]\n 16%|█▌ | 5/32 [00:01<00:06, 4.17it/s]\n 19%|█▉ | 6/32 [00:01<00:06, 4.19it/s]\n 22%|██▏ | 7/32 [00:01<00:05, 4.20it/s]\n 25%|██▌ | 8/32 [00:01<00:05, 4.21it/s]\n 28%|██▊ | 9/32 [00:02<00:05, 4.21it/s]\n 31%|███▏ | 10/32 [00:02<00:05, 4.22it/s]\n 34%|███▍ | 11/32 [00:02<00:04, 4.22it/s]\n 38%|███▊ | 12/32 [00:02<00:04, 4.22it/s]\n 41%|████ | 13/32 [00:03<00:04, 4.22it/s]\n 44%|████▍ | 14/32 [00:03<00:04, 4.22it/s]\n 47%|████▋ | 15/32 [00:03<00:04, 4.22it/s]\n 50%|█████ | 16/32 [00:03<00:03, 4.22it/s]\n 53%|█████▎ | 17/32 [00:04<00:03, 4.21it/s]\n 56%|█████▋ | 18/32 [00:04<00:03, 4.22it/s]\n 59%|█████▉ | 19/32 [00:04<00:03, 4.22it/s]\n 62%|██████▎ | 20/32 [00:04<00:02, 4.22it/s]\n 66%|██████▌ | 21/32 [00:04<00:02, 4.23it/s]\n 69%|██████▉ | 22/32 [00:05<00:02, 4.22it/s]\n 72%|███████▏ | 23/32 [00:05<00:02, 4.22it/s]\n 75%|███████▌ | 24/32 [00:05<00:01, 4.22it/s]\n 78%|███████▊ | 25/32 [00:05<00:01, 4.23it/s]\n 81%|████████▏ | 26/32 [00:06<00:01, 4.22it/s]\n 84%|████████▍ | 27/32 [00:06<00:01, 4.22it/s]\n 88%|████████▊ | 28/32 [00:06<00:00, 4.22it/s]\n 91%|█████████ | 29/32 [00:06<00:00, 4.22it/s]\n 94%|█████████▍| 30/32 [00:07<00:00, 4.22it/s]\n 97%|█████████▋| 31/32 [00:07<00:00, 4.22it/s]\n100%|██████████| 32/32 [00:07<00:00, 4.22it/s]\n100%|██████████| 32/32 [00:07<00:00, 4.22it/s]\nExecuting node 231, title: VAE Decode, class type: VAEDecode\nExecuting node 273, title: Save Image, class type: SaveImage\nPrompt executed in 8.17 seconds\noutputs: {'273': {'images': [{'filename': 'SD3_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nSD3_00001_.png", "metrics": { "predict_time": 9.643940773, "total_time": 9.680774 }, "output": [ "https://replicate.delivery/pbxt/v3Bf81mnHc1HFa5h3k2q0rcoMIdaHLP15hwC4CBronNLW5fSA/SD3_00001_.webp" ], "started_at": "2024-06-18T12:09:50.156833Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/gbfaehpz51rgg0cg5d0a87tk4c", "cancel": "https://api.replicate.com/v1/predictions/gbfaehpz51rgg0cg5d0a87tk4c/cancel" }, "version": "7c48d3a1f9e16683c3f1e546056becfe31b963a872384458703f7aa6a40a2c69" }Generated inRandom seed set to: 615199750 Running workflow got prompt Executing node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode Executing node 271, title: KSampler, class type: KSampler 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:04, 6.87it/s] 6%|▋ | 2/32 [00:00<00:07, 4.00it/s] 9%|▉ | 3/32 [00:00<00:07, 4.11it/s] 12%|█▎ | 4/32 [00:00<00:06, 4.13it/s] 16%|█▌ | 5/32 [00:01<00:06, 4.17it/s] 19%|█▉ | 6/32 [00:01<00:06, 4.19it/s] 22%|██▏ | 7/32 [00:01<00:05, 4.20it/s] 25%|██▌ | 8/32 [00:01<00:05, 4.21it/s] 28%|██▊ | 9/32 [00:02<00:05, 4.21it/s] 31%|███▏ | 10/32 [00:02<00:05, 4.22it/s] 34%|███▍ | 11/32 [00:02<00:04, 4.22it/s] 38%|███▊ | 12/32 [00:02<00:04, 4.22it/s] 41%|████ | 13/32 [00:03<00:04, 4.22it/s] 44%|████▍ | 14/32 [00:03<00:04, 4.22it/s] 47%|████▋ | 15/32 [00:03<00:04, 4.22it/s] 50%|█████ | 16/32 [00:03<00:03, 4.22it/s] 53%|█████▎ | 17/32 [00:04<00:03, 4.21it/s] 56%|█████▋ | 18/32 [00:04<00:03, 4.22it/s] 59%|█████▉ | 19/32 [00:04<00:03, 4.22it/s] 62%|██████▎ | 20/32 [00:04<00:02, 4.22it/s] 66%|██████▌ | 21/32 [00:04<00:02, 4.23it/s] 69%|██████▉ | 22/32 [00:05<00:02, 4.22it/s] 72%|███████▏ | 23/32 [00:05<00:02, 4.22it/s] 75%|███████▌ | 24/32 [00:05<00:01, 4.22it/s] 78%|███████▊ | 25/32 [00:05<00:01, 4.23it/s] 81%|████████▏ | 26/32 [00:06<00:01, 4.22it/s] 84%|████████▍ | 27/32 [00:06<00:01, 4.22it/s] 88%|████████▊ | 28/32 [00:06<00:00, 4.22it/s] 91%|█████████ | 29/32 [00:06<00:00, 4.22it/s] 94%|█████████▍| 30/32 [00:07<00:00, 4.22it/s] 97%|█████████▋| 31/32 [00:07<00:00, 4.22it/s] 100%|██████████| 32/32 [00:07<00:00, 4.22it/s] 100%|██████████| 32/32 [00:07<00:00, 4.22it/s] Executing node 231, title: VAE Decode, class type: VAEDecode Executing node 273, title: Save Image, class type: SaveImage Prompt executed in 8.17 seconds outputs: {'273': {'images': [{'filename': 'SD3_00001_.png', 'subfolder': '', 'type': 'output'}]}} ==================================== SD3_00001_.pngPrediction
fofr/sd3-explorer:ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9ID7hn6qf5a19rgj0cg5d3ssd6hhrStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- model
- sd3_medium_incl_clips_t5xxlfp16.safetensors
- shift
- 3
- steps
- 28
- width
- 1156
- height
- 768
- sampler
- dpmpp_2m
- scheduler
- sgm_uniform
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- negative_prompt
- number_of_images
- 1
- triple_prompt_t5
- a man and woman are standing together against a backdrop, the backdrop is divided equally in half down the middle, left side is red, right side is gold, the woman is wearing a t-shirt with a yoda motif, she has a long skirt with birds on it, the man is wearing a three piece purple suit, he has spiky blue hair
- use_triple_prompt
- triple_prompt_clip_g
- an ethereal dreamlike scene, cartoon, animated, dreamy, soft
- triple_prompt_clip_l
- an ethereal dreamlike scene, cartoon, animated, dreamy, soft
- negative_conditioning_end
- 0
- triple_prompt_empty_padding
{ "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors", "shift": 3, "steps": 28, "width": 1156, "height": 768, "sampler": "dpmpp_2m", "scheduler": "sgm_uniform", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "negative_prompt": "", "number_of_images": 1, "triple_prompt_t5": "a man and woman are standing together against a backdrop, the backdrop is divided equally in half down the middle, left side is red, right side is gold, the woman is wearing a t-shirt with a yoda motif, she has a long skirt with birds on it, the man is wearing a three piece purple suit, he has spiky blue hair", "use_triple_prompt": true, "triple_prompt_clip_g": "an ethereal dreamlike scene, cartoon, animated, dreamy, soft", "triple_prompt_clip_l": "an ethereal dreamlike scene, cartoon, animated, dreamy, soft", "negative_conditioning_end": 0, "triple_prompt_empty_padding": true }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 fofr/sd3-explorer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/sd3-explorer:ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9", { input: { model: "sd3_medium_incl_clips_t5xxlfp16.safetensors", shift: 3, steps: 28, width: 1156, height: 768, sampler: "dpmpp_2m", scheduler: "sgm_uniform", output_format: "webp", guidance_scale: 3.5, output_quality: 80, negative_prompt: "", number_of_images: 1, triple_prompt_t5: "a man and woman are standing together against a backdrop, the backdrop is divided equally in half down the middle, left side is red, right side is gold, the woman is wearing a t-shirt with a yoda motif, she has a long skirt with birds on it, the man is wearing a three piece purple suit, he has spiky blue hair", use_triple_prompt: true, triple_prompt_clip_g: "an ethereal dreamlike scene, cartoon, animated, dreamy, soft", triple_prompt_clip_l: "an ethereal dreamlike scene, cartoon, animated, dreamy, soft", negative_conditioning_end: 0, triple_prompt_empty_padding: true } } ); // 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 fofr/sd3-explorer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/sd3-explorer:ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9", input={ "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors", "shift": 3, "steps": 28, "width": 1156, "height": 768, "sampler": "dpmpp_2m", "scheduler": "sgm_uniform", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "negative_prompt": "", "number_of_images": 1, "triple_prompt_t5": "a man and woman are standing together against a backdrop, the backdrop is divided equally in half down the middle, left side is red, right side is gold, the woman is wearing a t-shirt with a yoda motif, she has a long skirt with birds on it, the man is wearing a three piece purple suit, he has spiky blue hair", "use_triple_prompt": True, "triple_prompt_clip_g": "an ethereal dreamlike scene, cartoon, animated, dreamy, soft", "triple_prompt_clip_l": "an ethereal dreamlike scene, cartoon, animated, dreamy, soft", "negative_conditioning_end": 0, "triple_prompt_empty_padding": True } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run fofr/sd3-explorer 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": "fofr/sd3-explorer:ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9", "input": { "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors", "shift": 3, "steps": 28, "width": 1156, "height": 768, "sampler": "dpmpp_2m", "scheduler": "sgm_uniform", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "negative_prompt": "", "number_of_images": 1, "triple_prompt_t5": "a man and woman are standing together against a backdrop, the backdrop is divided equally in half down the middle, left side is red, right side is gold, the woman is wearing a t-shirt with a yoda motif, she has a long skirt with birds on it, the man is wearing a three piece purple suit, he has spiky blue hair", "use_triple_prompt": true, "triple_prompt_clip_g": "an ethereal dreamlike scene, cartoon, animated, dreamy, soft", "triple_prompt_clip_l": "an ethereal dreamlike scene, cartoon, animated, dreamy, soft", "negative_conditioning_end": 0, "triple_prompt_empty_padding": true } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-06-18T12:17:22.274268Z", "created_at": "2024-06-18T12:17:15.274000Z", "data_removed": false, "error": null, "id": "7hn6qf5a19rgj0cg5d3ssd6hhr", "input": { "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors", "shift": 3, "steps": 28, "width": 1156, "height": 768, "sampler": "dpmpp_2m", "scheduler": "sgm_uniform", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "negative_prompt": "", "number_of_images": 1, "triple_prompt_t5": "a man and woman are standing together against a backdrop, the backdrop is divided equally in half down the middle, left side is red, right side is gold, the woman is wearing a t-shirt with a yoda motif, she has a long skirt with birds on it, the man is wearing a three piece purple suit, he has spiky blue hair", "use_triple_prompt": true, "triple_prompt_clip_g": "an ethereal dreamlike scene, cartoon, animated, dreamy, soft", "triple_prompt_clip_l": "an ethereal dreamlike scene, cartoon, animated, dreamy, soft", "negative_conditioning_end": 0, "triple_prompt_empty_padding": true }, "logs": "Random seed set to: 3447770546\nChecking weights\n✅ sd3_medium_incl_clips_t5xxlfp16.safetensors exists in ComfyUI/models/checkpoints\n====================================\nRunning workflow\ngot prompt\nExecuting node 271, title: KSampler, class type: KSampler\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:03, 8.12it/s]\n 7%|▋ | 2/28 [00:00<00:05, 4.95it/s]\n 11%|█ | 3/28 [00:00<00:04, 5.08it/s]\n 14%|█▍ | 4/28 [00:00<00:04, 5.13it/s]\n 18%|█▊ | 5/28 [00:00<00:04, 5.12it/s]\n 21%|██▏ | 6/28 [00:01<00:04, 5.13it/s]\n 25%|██▌ | 7/28 [00:01<00:04, 5.15it/s]\n 29%|██▊ | 8/28 [00:01<00:03, 5.16it/s]\n 32%|███▏ | 9/28 [00:01<00:03, 5.18it/s]\n 36%|███▌ | 10/28 [00:01<00:03, 5.18it/s]\n 39%|███▉ | 11/28 [00:02<00:03, 5.18it/s]\n 43%|████▎ | 12/28 [00:02<00:03, 5.18it/s]\n 46%|████▋ | 13/28 [00:02<00:02, 5.19it/s]\n 50%|█████ | 14/28 [00:02<00:02, 5.19it/s]\n 54%|█████▎ | 15/28 [00:02<00:02, 5.19it/s]\n 57%|█████▋ | 16/28 [00:03<00:02, 5.18it/s]\n 61%|██████ | 17/28 [00:03<00:02, 5.18it/s]\n 64%|██████▍ | 18/28 [00:03<00:01, 5.19it/s]\n 68%|██████▊ | 19/28 [00:03<00:01, 5.18it/s]\n 71%|███████▏ | 20/28 [00:03<00:01, 5.18it/s]\n 75%|███████▌ | 21/28 [00:04<00:01, 5.18it/s]\n 79%|███████▊ | 22/28 [00:04<00:01, 5.17it/s]\n 82%|████████▏ | 23/28 [00:04<00:00, 5.18it/s]\n 86%|████████▌ | 24/28 [00:04<00:00, 5.18it/s]\n 89%|████████▉ | 25/28 [00:04<00:00, 5.11it/s]\n 93%|█████████▎| 26/28 [00:05<00:00, 5.13it/s]\n 96%|█████████▋| 27/28 [00:05<00:00, 5.14it/s]\n100%|██████████| 28/28 [00:05<00:00, 5.16it/s]\n100%|██████████| 28/28 [00:05<00:00, 5.18it/s]\nExecuting node 231, title: VAE Decode, class type: VAEDecode\nExecuting node 273, title: Save Image, class type: SaveImage\nPrompt executed in 5.78 seconds\noutputs: {'273': {'images': [{'filename': 'SD3_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nSD3_00001_.png", "metrics": { "predict_time": 6.962824302, "total_time": 7.000268 }, "output": [ "https://replicate.delivery/pbxt/h3JdCecTq70raqbgYM9YmO4LwxU1Lx9XD1P4cuRNzOpoZ5fSA/SD3_00001_.webp" ], "started_at": "2024-06-18T12:17:15.311444Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/7hn6qf5a19rgj0cg5d3ssd6hhr", "cancel": "https://api.replicate.com/v1/predictions/7hn6qf5a19rgj0cg5d3ssd6hhr/cancel" }, "version": "ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9" }Generated inRandom seed set to: 3447770546 Checking weights ✅ sd3_medium_incl_clips_t5xxlfp16.safetensors exists in ComfyUI/models/checkpoints ==================================== Running workflow got prompt Executing node 271, title: KSampler, class type: KSampler 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:03, 8.12it/s] 7%|▋ | 2/28 [00:00<00:05, 4.95it/s] 11%|█ | 3/28 [00:00<00:04, 5.08it/s] 14%|█▍ | 4/28 [00:00<00:04, 5.13it/s] 18%|█▊ | 5/28 [00:00<00:04, 5.12it/s] 21%|██▏ | 6/28 [00:01<00:04, 5.13it/s] 25%|██▌ | 7/28 [00:01<00:04, 5.15it/s] 29%|██▊ | 8/28 [00:01<00:03, 5.16it/s] 32%|███▏ | 9/28 [00:01<00:03, 5.18it/s] 36%|███▌ | 10/28 [00:01<00:03, 5.18it/s] 39%|███▉ | 11/28 [00:02<00:03, 5.18it/s] 43%|████▎ | 12/28 [00:02<00:03, 5.18it/s] 46%|████▋ | 13/28 [00:02<00:02, 5.19it/s] 50%|█████ | 14/28 [00:02<00:02, 5.19it/s] 54%|█████▎ | 15/28 [00:02<00:02, 5.19it/s] 57%|█████▋ | 16/28 [00:03<00:02, 5.18it/s] 61%|██████ | 17/28 [00:03<00:02, 5.18it/s] 64%|██████▍ | 18/28 [00:03<00:01, 5.19it/s] 68%|██████▊ | 19/28 [00:03<00:01, 5.18it/s] 71%|███████▏ | 20/28 [00:03<00:01, 5.18it/s] 75%|███████▌ | 21/28 [00:04<00:01, 5.18it/s] 79%|███████▊ | 22/28 [00:04<00:01, 5.17it/s] 82%|████████▏ | 23/28 [00:04<00:00, 5.18it/s] 86%|████████▌ | 24/28 [00:04<00:00, 5.18it/s] 89%|████████▉ | 25/28 [00:04<00:00, 5.11it/s] 93%|█████████▎| 26/28 [00:05<00:00, 5.13it/s] 96%|█████████▋| 27/28 [00:05<00:00, 5.14it/s] 100%|██████████| 28/28 [00:05<00:00, 5.16it/s] 100%|██████████| 28/28 [00:05<00:00, 5.18it/s] Executing node 231, title: VAE Decode, class type: VAEDecode Executing node 273, title: Save Image, class type: SaveImage Prompt executed in 5.78 seconds outputs: {'273': {'images': [{'filename': 'SD3_00001_.png', 'subfolder': '', 'type': 'output'}]}} ==================================== SD3_00001_.pngPrediction
fofr/sd3-explorer:ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9IDvmp5h000c9rgj0cg5d6813mmnrStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedby @fofrInput
- model
- sd3_medium_incl_clips_t5xxlfp16.safetensors
- shift
- 6
- steps
- 32
- width
- 1156
- height
- 768
- sampler
- dpmpp_2m
- scheduler
- sgm_uniform
- output_format
- webp
- guidance_scale
- 4
- output_quality
- 80
- negative_prompt
- number_of_images
- 1
- triple_prompt_t5
- the words written across the sky say "hello world", written in clouds from a plane, above the dog
- use_triple_prompt
- triple_prompt_clip_g
- a cartoon, dreamy anime background, a photo of a dog
- triple_prompt_clip_l
- a cartoon, dreamy anime background, a photo of a dog
- negative_conditioning_end
- 0
- triple_prompt_empty_padding
{ "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors", "shift": 6, "steps": 32, "width": 1156, "height": 768, "sampler": "dpmpp_2m", "scheduler": "sgm_uniform", "output_format": "webp", "guidance_scale": 4, "output_quality": 80, "negative_prompt": "", "number_of_images": 1, "triple_prompt_t5": "the words written across the sky say \"hello world\", written in clouds from a plane, above the dog", "use_triple_prompt": true, "triple_prompt_clip_g": "a cartoon, dreamy anime background, a photo of a dog", "triple_prompt_clip_l": "a cartoon, dreamy anime background, a photo of a dog", "negative_conditioning_end": 0, "triple_prompt_empty_padding": true }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 fofr/sd3-explorer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/sd3-explorer:ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9", { input: { model: "sd3_medium_incl_clips_t5xxlfp16.safetensors", shift: 6, steps: 32, width: 1156, height: 768, sampler: "dpmpp_2m", scheduler: "sgm_uniform", output_format: "webp", guidance_scale: 4, output_quality: 80, negative_prompt: "", number_of_images: 1, triple_prompt_t5: "the words written across the sky say \"hello world\", written in clouds from a plane, above the dog", use_triple_prompt: true, triple_prompt_clip_g: "a cartoon, dreamy anime background, a photo of a dog", triple_prompt_clip_l: "a cartoon, dreamy anime background, a photo of a dog", negative_conditioning_end: 0, triple_prompt_empty_padding: true } } ); // 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 fofr/sd3-explorer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/sd3-explorer:ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9", input={ "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors", "shift": 6, "steps": 32, "width": 1156, "height": 768, "sampler": "dpmpp_2m", "scheduler": "sgm_uniform", "output_format": "webp", "guidance_scale": 4, "output_quality": 80, "negative_prompt": "", "number_of_images": 1, "triple_prompt_t5": "the words written across the sky say \"hello world\", written in clouds from a plane, above the dog", "use_triple_prompt": True, "triple_prompt_clip_g": "a cartoon, dreamy anime background, a photo of a dog", "triple_prompt_clip_l": "a cartoon, dreamy anime background, a photo of a dog", "negative_conditioning_end": 0, "triple_prompt_empty_padding": True } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run fofr/sd3-explorer 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": "fofr/sd3-explorer:ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9", "input": { "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors", "shift": 6, "steps": 32, "width": 1156, "height": 768, "sampler": "dpmpp_2m", "scheduler": "sgm_uniform", "output_format": "webp", "guidance_scale": 4, "output_quality": 80, "negative_prompt": "", "number_of_images": 1, "triple_prompt_t5": "the words written across the sky say \\"hello world\\", written in clouds from a plane, above the dog", "use_triple_prompt": true, "triple_prompt_clip_g": "a cartoon, dreamy anime background, a photo of a dog", "triple_prompt_clip_l": "a cartoon, dreamy anime background, a photo of a dog", "negative_conditioning_end": 0, "triple_prompt_empty_padding": true } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-06-18T12:22:07.365400Z", "created_at": "2024-06-18T12:21:59.522000Z", "data_removed": false, "error": null, "id": "vmp5h000c9rgj0cg5d6813mmnr", "input": { "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors", "shift": 6, "steps": 32, "width": 1156, "height": 768, "sampler": "dpmpp_2m", "scheduler": "sgm_uniform", "output_format": "webp", "guidance_scale": 4, "output_quality": 80, "negative_prompt": "", "number_of_images": 1, "triple_prompt_t5": "the words written across the sky say \"hello world\", written in clouds from a plane, above the dog", "use_triple_prompt": true, "triple_prompt_clip_g": "a cartoon, dreamy anime background, a photo of a dog", "triple_prompt_clip_l": "a cartoon, dreamy anime background, a photo of a dog", "negative_conditioning_end": 0, "triple_prompt_empty_padding": true }, "logs": "Random seed set to: 2283277244\nChecking weights\n✅ sd3_medium_incl_clips_t5xxlfp16.safetensors exists in ComfyUI/models/checkpoints\n====================================\nRunning workflow\ngot prompt\nExecuting node 291, title: CLIPTextEncodeSD3, class type: CLIPTextEncodeSD3\nExecuting node 271, title: KSampler, class type: KSampler\n 0%| | 0/32 [00:00<?, ?it/s]\n 6%|▋ | 2/32 [00:00<00:05, 5.25it/s]\n 9%|▉ | 3/32 [00:00<00:05, 5.23it/s]\n 12%|█▎ | 4/32 [00:00<00:05, 5.22it/s]\n 16%|█▌ | 5/32 [00:00<00:05, 5.20it/s]\n 19%|█▉ | 6/32 [00:01<00:04, 5.20it/s]\n 22%|██▏ | 7/32 [00:01<00:04, 5.20it/s]\n 25%|██▌ | 8/32 [00:01<00:04, 5.20it/s]\n 28%|██▊ | 9/32 [00:01<00:04, 5.19it/s]\n 31%|███▏ | 10/32 [00:01<00:04, 5.18it/s]\n 34%|███▍ | 11/32 [00:02<00:04, 5.18it/s]\n 38%|███▊ | 12/32 [00:02<00:03, 5.18it/s]\n 41%|████ | 13/32 [00:02<00:03, 5.19it/s]\n 44%|████▍ | 14/32 [00:02<00:03, 5.20it/s]\n 47%|████▋ | 15/32 [00:02<00:03, 5.19it/s]\n 50%|█████ | 16/32 [00:03<00:03, 5.19it/s]\n 53%|█████▎ | 17/32 [00:03<00:02, 5.19it/s]\n 56%|█████▋ | 18/32 [00:03<00:02, 5.19it/s]\n 59%|█████▉ | 19/32 [00:03<00:02, 5.19it/s]\n 62%|██████▎ | 20/32 [00:03<00:02, 5.19it/s]\n 66%|██████▌ | 21/32 [00:04<00:02, 5.18it/s]\n 69%|██████▉ | 22/32 [00:04<00:01, 5.18it/s]\n 72%|███████▏ | 23/32 [00:04<00:01, 5.18it/s]\n 75%|███████▌ | 24/32 [00:04<00:01, 5.17it/s]\n 78%|███████▊ | 25/32 [00:04<00:01, 5.17it/s]\n 81%|████████▏ | 26/32 [00:05<00:01, 5.17it/s]\n 84%|████████▍ | 27/32 [00:05<00:00, 5.16it/s]\n 88%|████████▊ | 28/32 [00:05<00:00, 5.16it/s]\n 91%|█████████ | 29/32 [00:05<00:00, 5.17it/s]\n 94%|█████████▍| 30/32 [00:05<00:00, 5.17it/s]\n 97%|█████████▋| 31/32 [00:05<00:00, 5.17it/s]\n100%|██████████| 32/32 [00:06<00:00, 5.18it/s]\n100%|██████████| 32/32 [00:06<00:00, 5.19it/s]\nExecuting node 231, title: VAE Decode, class type: VAEDecode\nExecuting node 273, title: Save Image, class type: SaveImage\nPrompt executed in 6.63 seconds\noutputs: {'273': {'images': [{'filename': 'SD3_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nSD3_00001_.png", "metrics": { "predict_time": 7.806549779, "total_time": 7.8434 }, "output": [ "https://replicate.delivery/pbxt/MJb55kWPbaIxF1DQfb3IMhYD1P6M5BuMZb3hdUnwPKQ3b5fSA/SD3_00001_.webp" ], "started_at": "2024-06-18T12:21:59.558850Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/vmp5h000c9rgj0cg5d6813mmnr", "cancel": "https://api.replicate.com/v1/predictions/vmp5h000c9rgj0cg5d6813mmnr/cancel" }, "version": "ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9" }Generated inRandom seed set to: 2283277244 Checking weights ✅ sd3_medium_incl_clips_t5xxlfp16.safetensors exists in ComfyUI/models/checkpoints ==================================== Running workflow got prompt Executing node 291, title: CLIPTextEncodeSD3, class type: CLIPTextEncodeSD3 Executing node 271, title: KSampler, class type: KSampler 0%| | 0/32 [00:00<?, ?it/s] 6%|▋ | 2/32 [00:00<00:05, 5.25it/s] 9%|▉ | 3/32 [00:00<00:05, 5.23it/s] 12%|█▎ | 4/32 [00:00<00:05, 5.22it/s] 16%|█▌ | 5/32 [00:00<00:05, 5.20it/s] 19%|█▉ | 6/32 [00:01<00:04, 5.20it/s] 22%|██▏ | 7/32 [00:01<00:04, 5.20it/s] 25%|██▌ | 8/32 [00:01<00:04, 5.20it/s] 28%|██▊ | 9/32 [00:01<00:04, 5.19it/s] 31%|███▏ | 10/32 [00:01<00:04, 5.18it/s] 34%|███▍ | 11/32 [00:02<00:04, 5.18it/s] 38%|███▊ | 12/32 [00:02<00:03, 5.18it/s] 41%|████ | 13/32 [00:02<00:03, 5.19it/s] 44%|████▍ | 14/32 [00:02<00:03, 5.20it/s] 47%|████▋ | 15/32 [00:02<00:03, 5.19it/s] 50%|█████ | 16/32 [00:03<00:03, 5.19it/s] 53%|█████▎ | 17/32 [00:03<00:02, 5.19it/s] 56%|█████▋ | 18/32 [00:03<00:02, 5.19it/s] 59%|█████▉ | 19/32 [00:03<00:02, 5.19it/s] 62%|██████▎ | 20/32 [00:03<00:02, 5.19it/s] 66%|██████▌ | 21/32 [00:04<00:02, 5.18it/s] 69%|██████▉ | 22/32 [00:04<00:01, 5.18it/s] 72%|███████▏ | 23/32 [00:04<00:01, 5.18it/s] 75%|███████▌ | 24/32 [00:04<00:01, 5.17it/s] 78%|███████▊ | 25/32 [00:04<00:01, 5.17it/s] 81%|████████▏ | 26/32 [00:05<00:01, 5.17it/s] 84%|████████▍ | 27/32 [00:05<00:00, 5.16it/s] 88%|████████▊ | 28/32 [00:05<00:00, 5.16it/s] 91%|█████████ | 29/32 [00:05<00:00, 5.17it/s] 94%|█████████▍| 30/32 [00:05<00:00, 5.17it/s] 97%|█████████▋| 31/32 [00:05<00:00, 5.17it/s] 100%|██████████| 32/32 [00:06<00:00, 5.18it/s] 100%|██████████| 32/32 [00:06<00:00, 5.19it/s] Executing node 231, title: VAE Decode, class type: VAEDecode Executing node 273, title: Save Image, class type: SaveImage Prompt executed in 6.63 seconds outputs: {'273': {'images': [{'filename': 'SD3_00001_.png', 'subfolder': '', 'type': 'output'}]}} ==================================== SD3_00001_.pngPrediction
fofr/sd3-explorer:ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9IDnts3c16qhnrgj0cg5dqv31jjm0StatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedby @replicateInput
- model
- sd3_medium_incl_clips_t5xxlfp16.safetensors
- shift
- 3
- steps
- 28
- width
- 1156
- height
- 768
- prompt
- a close-up half-portrait photo of a woman wearing a sleek blue and white summer dress with a monstera plant motif, has square white glasses, green braided hair, she is on a pebble beach in Brighton UK, very early in the morning, twilight sunrise
- sampler
- dpmpp_2m
- scheduler
- sgm_uniform
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- negative_prompt
- number_of_images
- 1
- triple_prompt_t5
- use_triple_prompt
- triple_prompt_clip_g
- triple_prompt_clip_l
- negative_conditioning_end
- 0
- triple_prompt_empty_padding
{ "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors", "shift": 3, "steps": 28, "width": 1156, "height": 768, "prompt": "a close-up half-portrait photo of a woman wearing a sleek blue and white summer dress with a monstera plant motif, has square white glasses, green braided hair, she is on a pebble beach in Brighton UK, very early in the morning, twilight sunrise", "sampler": "dpmpp_2m", "scheduler": "sgm_uniform", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "negative_prompt": "", "number_of_images": 1, "triple_prompt_t5": "", "use_triple_prompt": false, "triple_prompt_clip_g": "", "triple_prompt_clip_l": "", "negative_conditioning_end": 0, "triple_prompt_empty_padding": true }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 fofr/sd3-explorer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/sd3-explorer:ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9", { input: { model: "sd3_medium_incl_clips_t5xxlfp16.safetensors", shift: 3, steps: 28, width: 1156, height: 768, prompt: "a close-up half-portrait photo of a woman wearing a sleek blue and white summer dress with a monstera plant motif, has square white glasses, green braided hair, she is on a pebble beach in Brighton UK, very early in the morning, twilight sunrise", sampler: "dpmpp_2m", scheduler: "sgm_uniform", output_format: "webp", guidance_scale: 3.5, output_quality: 80, negative_prompt: "", number_of_images: 1, triple_prompt_t5: "", use_triple_prompt: false, triple_prompt_clip_g: "", triple_prompt_clip_l: "", negative_conditioning_end: 0, triple_prompt_empty_padding: true } } ); // 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 fofr/sd3-explorer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/sd3-explorer:ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9", input={ "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors", "shift": 3, "steps": 28, "width": 1156, "height": 768, "prompt": "a close-up half-portrait photo of a woman wearing a sleek blue and white summer dress with a monstera plant motif, has square white glasses, green braided hair, she is on a pebble beach in Brighton UK, very early in the morning, twilight sunrise", "sampler": "dpmpp_2m", "scheduler": "sgm_uniform", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "negative_prompt": "", "number_of_images": 1, "triple_prompt_t5": "", "use_triple_prompt": False, "triple_prompt_clip_g": "", "triple_prompt_clip_l": "", "negative_conditioning_end": 0, "triple_prompt_empty_padding": True } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run fofr/sd3-explorer 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": "fofr/sd3-explorer:ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9", "input": { "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors", "shift": 3, "steps": 28, "width": 1156, "height": 768, "prompt": "a close-up half-portrait photo of a woman wearing a sleek blue and white summer dress with a monstera plant motif, has square white glasses, green braided hair, she is on a pebble beach in Brighton UK, very early in the morning, twilight sunrise", "sampler": "dpmpp_2m", "scheduler": "sgm_uniform", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "negative_prompt": "", "number_of_images": 1, "triple_prompt_t5": "", "use_triple_prompt": false, "triple_prompt_clip_g": "", "triple_prompt_clip_l": "", "negative_conditioning_end": 0, "triple_prompt_empty_padding": true } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-06-18T13:01:15.076019Z", "created_at": "2024-06-18T13:01:08.365000Z", "data_removed": false, "error": null, "id": "nts3c16qhnrgj0cg5dqv31jjm0", "input": { "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors", "shift": 3, "steps": 28, "width": 1156, "height": 768, "prompt": "a close-up half-portrait photo of a woman wearing a sleek blue and white summer dress with a monstera plant motif, has square white glasses, green braided hair, she is on a pebble beach in Brighton UK, very early in the morning, twilight sunrise", "sampler": "dpmpp_2m", "scheduler": "sgm_uniform", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "negative_prompt": "", "number_of_images": 1, "triple_prompt_t5": "", "use_triple_prompt": false, "triple_prompt_clip_g": "", "triple_prompt_clip_l": "", "negative_conditioning_end": 0, "triple_prompt_empty_padding": true }, "logs": "Random seed set to: 384961957\nChecking weights\n✅ sd3_medium_incl_clips_t5xxlfp16.safetensors exists in ComfyUI/models/checkpoints\n====================================\nRunning workflow\ngot prompt\nExecuting node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 275, title: Empty SD3 Latent Image, class type: EmptySD3LatentImage\nExecuting node 271, title: KSampler, class type: KSampler\n 0%| | 0/28 [00:00<?, ?it/s]\n 7%|▋ | 2/28 [00:00<00:05, 5.19it/s]\n 11%|█ | 3/28 [00:00<00:04, 5.18it/s]\n 14%|█▍ | 4/28 [00:00<00:04, 5.18it/s]\n 18%|█▊ | 5/28 [00:00<00:04, 5.17it/s]\n 21%|██▏ | 6/28 [00:01<00:04, 5.16it/s]\n 25%|██▌ | 7/28 [00:01<00:04, 5.17it/s]\n 29%|██▊ | 8/28 [00:01<00:03, 5.16it/s]\n 32%|███▏ | 9/28 [00:01<00:03, 5.16it/s]\n 36%|███▌ | 10/28 [00:01<00:03, 5.16it/s]\n 39%|███▉ | 11/28 [00:02<00:03, 5.17it/s]\n 43%|████▎ | 12/28 [00:02<00:03, 5.16it/s]\n 46%|████▋ | 13/28 [00:02<00:02, 5.16it/s]\n 50%|█████ | 14/28 [00:02<00:02, 5.16it/s]\n 54%|█████▎ | 15/28 [00:02<00:02, 5.15it/s]\n 57%|█████▋ | 16/28 [00:03<00:02, 5.15it/s]\n 61%|██████ | 17/28 [00:03<00:02, 5.15it/s]\n 64%|██████▍ | 18/28 [00:03<00:01, 5.16it/s]\n 68%|██████▊ | 19/28 [00:03<00:01, 5.16it/s]\n 71%|███████▏ | 20/28 [00:03<00:01, 5.16it/s]\n 75%|███████▌ | 21/28 [00:04<00:01, 5.15it/s]\n 79%|███████▊ | 22/28 [00:04<00:01, 5.14it/s]\n 82%|████████▏ | 23/28 [00:04<00:00, 5.13it/s]\n 86%|████████▌ | 24/28 [00:04<00:00, 5.13it/s]\n 89%|████████▉ | 25/28 [00:04<00:00, 5.14it/s]\n 93%|█████████▎| 26/28 [00:05<00:00, 5.14it/s]\n 96%|█████████▋| 27/28 [00:05<00:00, 5.13it/s]\n100%|██████████| 28/28 [00:05<00:00, 5.13it/s]\n100%|██████████| 28/28 [00:05<00:00, 5.15it/s]\nExecuting node 231, title: VAE Decode, class type: VAEDecode\nExecuting node 273, title: Save Image, class type: SaveImage\nPrompt executed in 6.01 seconds\noutputs: {'273': {'images': [{'filename': 'SD3_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nSD3_00001_.png", "metrics": { "predict_time": 6.704906576, "total_time": 6.711019 }, "output": [ "https://replicate.delivery/pbxt/vfff0jqqfz6ajTCDMK9fTLJfYLesxGLIbftgeMzU9GwE04mfLB/SD3_00001_.webp" ], "started_at": "2024-06-18T13:01:08.371113Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/nts3c16qhnrgj0cg5dqv31jjm0", "cancel": "https://api.replicate.com/v1/predictions/nts3c16qhnrgj0cg5dqv31jjm0/cancel" }, "version": "ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9" }Generated inRandom seed set to: 384961957 Checking weights ✅ sd3_medium_incl_clips_t5xxlfp16.safetensors exists in ComfyUI/models/checkpoints ==================================== Running workflow got prompt Executing node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode Executing node 275, title: Empty SD3 Latent Image, class type: EmptySD3LatentImage Executing node 271, title: KSampler, class type: KSampler 0%| | 0/28 [00:00<?, ?it/s] 7%|▋ | 2/28 [00:00<00:05, 5.19it/s] 11%|█ | 3/28 [00:00<00:04, 5.18it/s] 14%|█▍ | 4/28 [00:00<00:04, 5.18it/s] 18%|█▊ | 5/28 [00:00<00:04, 5.17it/s] 21%|██▏ | 6/28 [00:01<00:04, 5.16it/s] 25%|██▌ | 7/28 [00:01<00:04, 5.17it/s] 29%|██▊ | 8/28 [00:01<00:03, 5.16it/s] 32%|███▏ | 9/28 [00:01<00:03, 5.16it/s] 36%|███▌ | 10/28 [00:01<00:03, 5.16it/s] 39%|███▉ | 11/28 [00:02<00:03, 5.17it/s] 43%|████▎ | 12/28 [00:02<00:03, 5.16it/s] 46%|████▋ | 13/28 [00:02<00:02, 5.16it/s] 50%|█████ | 14/28 [00:02<00:02, 5.16it/s] 54%|█████▎ | 15/28 [00:02<00:02, 5.15it/s] 57%|█████▋ | 16/28 [00:03<00:02, 5.15it/s] 61%|██████ | 17/28 [00:03<00:02, 5.15it/s] 64%|██████▍ | 18/28 [00:03<00:01, 5.16it/s] 68%|██████▊ | 19/28 [00:03<00:01, 5.16it/s] 71%|███████▏ | 20/28 [00:03<00:01, 5.16it/s] 75%|███████▌ | 21/28 [00:04<00:01, 5.15it/s] 79%|███████▊ | 22/28 [00:04<00:01, 5.14it/s] 82%|████████▏ | 23/28 [00:04<00:00, 5.13it/s] 86%|████████▌ | 24/28 [00:04<00:00, 5.13it/s] 89%|████████▉ | 25/28 [00:04<00:00, 5.14it/s] 93%|█████████▎| 26/28 [00:05<00:00, 5.14it/s] 96%|█████████▋| 27/28 [00:05<00:00, 5.13it/s] 100%|██████████| 28/28 [00:05<00:00, 5.13it/s] 100%|██████████| 28/28 [00:05<00:00, 5.15it/s] Executing node 231, title: VAE Decode, class type: VAEDecode Executing node 273, title: Save Image, class type: SaveImage Prompt executed in 6.01 seconds outputs: {'273': {'images': [{'filename': 'SD3_00001_.png', 'subfolder': '', 'type': 'output'}]}} ==================================== SD3_00001_.png
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