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The CLIP Interrogator is a prompt engineering tool that combines OpenAI's CLIP and Salesforce's BLIP to optimize text prompts to match a given image. Use the resulting prompts with text-to-image models like Stable Diffusion to create cool art! A large, stereo MusicGen that acts as a useful tool for music producers.
recraft-ai / recraft-v3. Recraft V3 (code-named red_panda) is a text-to-image model with the ability to generate long texts, and images in a wide list of styles. As of today, it is SOTA in image generation, proven by the Text-to-Image Benchmark by Artificial Analysis. 71.7K runs.
These models restore and improve images by fixing defects like blur, noise, and low resolution. Key capabilities: Deblurring - Sharpen blurry images by reversing blur effects. Useful for old photos. Denoising - Remove grain and artifacts by learning noise patterns. Colorization - Add realistic color to black and white photos. Face restoration ...
Public. 11.4M runs. A40 (Large) GitHub. License. Run with an API. Playground API Examples README Versions. You can try this model for free on playground.com 👉. Run on Playground.
You’ll find estimates for how much they cost under "Run time and cost" on the model’s page. For example, for stability-ai/sdxl: This model costs approximately $0.012 to run on Replicate, but this varies depending on your inputs. Predictions run on Nvidia A40 (Large) GPU hardware, which costs $0.000725 per second.
Replicate demo for GFPGAN （You may need to login in to upload images~） GFPGAN aims at developing Practical Algorithm for Real-world Face Restoration. If GFPGAN is helpful, please help to ⭐ the Github Repo and recommend it to your friends 😊. 📧Contact. If you have any question, please email xintao.wang@outlook.com or xintaowang ...
FLUX.1 [pro] is the best of FLUX.1, offering state-of-the-art performance image generation with top of the line prompt following, visual quality, image detail and output diversity. All FLUX.1 model variants support a diverse range of aspect ratios and resolutions in 0.1 and 2.0 megapixels.
FLUX1.1 [pro] provides six times faster generation than its predecessor FLUX.1 [pro] while also improving image quality, prompt adherence, and diversity. Superior Speed and Efficiency: Faster generation times and reduced latency, enabling more efficient workflows. FLUX1.1 [pro] provides an ideal tradeoff between image quality and inference speed.
Run time and cost. This model costs approximately $0.00052 to run on Replicate, or 1923 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker. This model runs on Nvidia T4 (High-memory) GPU hardware. Predictions typically complete within 3 seconds.
Here are some good places to start: Fine-tune FLUX with faces. Fine-tune FLUX with an API. Using synthetic data to improve fine-tunes. Questions? Join us on Discord. Run FLUX models with one line of code. Try Pro for commercial projects, Dev for experiments, or Schnell for speed. Fine-tune models with your own data.
