biguloff/vin-diesel πΌοΈπ’βπβ β πΌοΈ
About

Example Output
"
Vin Diesel, with a powerful, bodybuilder physique, stands confidently in the middle of the AMRT sports nutrition store, wearing a fitted white t-shirt that accentuates his muscular build. His face is lit up with a genuine, happy smile, adding a warm and approachable vibe to his otherwise strong and intense presence. His arms and shoulders appear exceptionally defined under the t-shirt, showcasing his athletic form in ultra-realistic detail. The soft, professional lighting highlights his skin tone and the contours of his muscles, enhancing the realism of his appearance. VDSL
The AMRT store background is sharp and fully in focus, displaying neatly organized shelves filled with sports supplements, protein powders, and energy drinks, each item clearly labeled and arranged to reflect a professional environment. The vivid colors and textures of the products add depth to the scene, contrasting with Dieselβs white t-shirt. The details, from the fabric of his shirt to the items on the shelves, are captured in extreme clarity, rendered in a high-resolution, lifelike quality. The scene has the feel of a cinematic still shot taken with a Canon EOS or an iPhone Pro in cinematic mode, blending elements of editorial magazine cover style with a friendly, approachable energy. The overall composition highlights Vin Dieselβs strength and charisma, making him the focus within the vibrant, professional setting of the AMRT store.
"Output

Performance Metrics
All Input Parameters
{ "model": "dev", "prompt": "Vin Diesel, with a powerful, bodybuilder physique, stands confidently in the middle of the AMRT sports nutrition store, wearing a fitted white t-shirt that accentuates his muscular build. His face is lit up with a genuine, happy smile, adding a warm and approachable vibe to his otherwise strong and intense presence. His arms and shoulders appear exceptionally defined under the t-shirt, showcasing his athletic form in ultra-realistic detail. The soft, professional lighting highlights his skin tone and the contours of his muscles, enhancing the realism of his appearance. VDSL\n\nThe AMRT store background is sharp and fully in focus, displaying neatly organized shelves filled with sports supplements, protein powders, and energy drinks, each item clearly labeled and arranged to reflect a professional environment. The vivid colors and textures of the products add depth to the scene, contrasting with Dieselβs white t-shirt. The details, from the fabric of his shirt to the items on the shelves, are captured in extreme clarity, rendered in a high-resolution, lifelike quality. The scene has the feel of a cinematic still shot taken with a Canon EOS or an iPhone Pro in cinematic mode, blending elements of editorial magazine cover style with a friendly, approachable energy. The overall composition highlights Vin Dieselβs strength and charisma, making him the focus within the vibrant, professional setting of the AMRT store.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }
Input Parameters
- mask
- Image mask for image inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.
- seed
- Random seed. Set for reproducible generation
- image
- Input image for image to image or inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.
- model
- Which model to run inference with. The dev model performs best with around 28 inference steps but the schnell model only needs 4 steps.
- width
- Width of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation
- height
- Height of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation
- prompt (required)
- Prompt for generated image. If you include the `trigger_word` used in the training process you are more likely to activate the trained object, style, or concept in the resulting image.
- go_fast
- Run faster predictions with model optimized for speed (currently fp8 quantized); disable to run in original bf16
- extra_lora
- Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'
- lora_scale
- Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.
- megapixels
- Approximate number of megapixels for generated image
- num_outputs
- Number of outputs to generate
- aspect_ratio
- Aspect ratio for the generated image. If custom is selected, uses height and width below & will run in bf16 mode
- output_format
- Format of the output images
- guidance_scale
- Guidance scale for the diffusion process. Lower values can give more realistic images. Good values to try are 2, 2.5, 3 and 3.5
- output_quality
- Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs
- prompt_strength
- Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image
- extra_lora_scale
- Determines how strongly the extra LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.
- replicate_weights
- Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'
- num_inference_steps
- Number of denoising steps. More steps can give more detailed images, but take longer.
- disable_safety_checker
- Disable safety checker for generated images.
Output Schema
Output
Example Execution Logs
Using seed: 791 Prompt: Vin Diesel, with a powerful, bodybuilder physique, stands confidently in the middle of the AMRT sports nutrition store, wearing a fitted white t-shirt that accentuates his muscular build. His face is lit up with a genuine, happy smile, adding a warm and approachable vibe to his otherwise strong and intense presence. His arms and shoulders appear exceptionally defined under the t-shirt, showcasing his athletic form in ultra-realistic detail. The soft, professional lighting highlights his skin tone and the contours of his muscles, enhancing the realism of his appearance. VDSL The AMRT store background is sharp and fully in focus, displaying neatly organized shelves filled with sports supplements, protein powders, and energy drinks, each item clearly labeled and arranged to reflect a professional environment. The vivid colors and textures of the products add depth to the scene, contrasting with Dieselβs white t-shirt. The details, from the fabric of his shirt to the items on the shelves, are captured in extreme clarity, rendered in a high-resolution, lifelike quality. The scene has the feel of a cinematic still shot taken with a Canon EOS or an iPhone Pro in cinematic mode, blending elements of editorial magazine cover style with a friendly, approachable energy. The overall composition highlights Vin Dieselβs strength and charisma, making him the focus within the vibrant, professional setting of the AMRT store. [!] txt2img mode Using dev model free=6505625649152 Downloading weights 2024-11-11T10:44:27Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmph3ww9vbh/weights url=https://replicate.delivery/xezq/unLAkb62Gt5QKlwsBfo23EraoqqnsIskUvkFkxikErZPh83JA/trained_model.tar 2024-11-11T10:44:31Z | INFO | [ Complete ] dest=/tmp/tmph3ww9vbh/weights size="344 MB" total_elapsed=3.765s url=https://replicate.delivery/xezq/unLAkb62Gt5QKlwsBfo23EraoqqnsIskUvkFkxikErZPh83JA/trained_model.tar Downloaded weights in 3.80s Loaded LoRAs in 4.28s 0%| | 0/28 [00:00<?, ?it/s] 4%|β | 1/28 [00:00<00:08, 3.07it/s] 7%|β | 2/28 [00:00<00:07, 3.43it/s] 11%|β | 3/28 [00:00<00:07, 3.26it/s] 14%|ββ | 4/28 [00:01<00:07, 3.18it/s] 18%|ββ | 5/28 [00:01<00:07, 3.14it/s] 21%|βββ | 6/28 [00:01<00:07, 3.12it/s] 25%|βββ | 7/28 [00:02<00:06, 3.10it/s] 29%|βββ | 8/28 [00:02<00:06, 3.09it/s] 32%|ββββ | 9/28 [00:02<00:06, 3.08it/s] 36%|ββββ | 10/28 [00:03<00:05, 3.08it/s] 39%|ββββ | 11/28 [00:03<00:05, 3.08it/s] 43%|βββββ | 12/28 [00:03<00:05, 3.08it/s] 46%|βββββ | 13/28 [00:04<00:04, 3.07it/s] 50%|βββββ | 14/28 [00:04<00:04, 3.07it/s] 54%|ββββββ | 15/28 [00:04<00:04, 3.07it/s] 57%|ββββββ | 16/28 [00:05<00:03, 3.07it/s] 61%|ββββββ | 17/28 [00:05<00:03, 3.07it/s] 64%|βββββββ | 18/28 [00:05<00:03, 3.07it/s] 68%|βββββββ | 19/28 [00:06<00:02, 3.07it/s] 71%|ββββββββ | 20/28 [00:06<00:02, 3.07it/s] 75%|ββββββββ | 21/28 [00:06<00:02, 3.07it/s] 79%|ββββββββ | 22/28 [00:07<00:01, 3.07it/s] 82%|βββββββββ | 23/28 [00:07<00:01, 3.07it/s] 86%|βββββββββ | 24/28 [00:07<00:01, 3.07it/s] 89%|βββββββββ | 25/28 [00:08<00:00, 3.07it/s] 93%|ββββββββββ| 26/28 [00:08<00:00, 3.07it/s] 96%|ββββββββββ| 27/28 [00:08<00:00, 3.07it/s] 100%|ββββββββββ| 28/28 [00:09<00:00, 3.07it/s] 100%|ββββββββββ| 28/28 [00:09<00:00, 3.09it/s]
Version Details
- Version ID
f50356c018c253a06d57f1f4b18cb1b47af893ac48d13c7367aaac68fa0310b9
- Version Created
- November 11, 2024