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Onlyfakes HuggingFace

Free

Create lifelike images from text prompts using Realistic-Vision-v4.

Image GeneratorsFreeFree tier
#AI#image generation#text-to-image#Diffusers#StableDiffusionPipeline
Inputs: textOutputs: image
Type
Saas
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Onlyfakes HuggingFace screenshot

About Onlyfakes HuggingFace

Realistic-Vision-v4 is a fine-tuned Stable Diffusion model hosted on Hugging Face by the user 'Onlyfake'. It is designed to generate highly realistic images from text prompts, with a strong emphasis on avoiding common artifacts through comprehensive negative prompt recommendations and specific generation parameters. The model supports safetensors, integrates with Diffusers and StableDiffusionPipeline, and is licensed under CreativeML Open RAIL-M. While not deployed on any inference provider, it is available for download and can be used with Hugging Face Spaces or locally. The model page includes detailed guidance on negative prompts (e.g., deformed iris, mutated hands) and optimal parameters (e.g., Euler A sampler, CFG scale 3.5-15, Hires fix).

Key Features

Text-to-Image generation
Safetensors support
Advanced Diffusers technology
StableDiffusionPipeline
High customization with negative prompts
Optimized for high-quality images
Suitable for both creative and professional use
Supports various generation parameters
CreativeML-openrail-m license
Inference Endpoints available

Pros & Cons

Pros
  • Highly realistic outputs when prompts and negative prompts are carefully crafted.
  • Detailed negative prompt list helps reduce common artifacts like deformed hands and faces.
  • Open-source model with permissive CreativeML Open RAIL-M license.
  • Free to download and use on Hugging Face, no subscription required.
  • Integrates with popular diffusion pipelines (Diffusers, StableDiffusionPipeline).
  • Active community with shared Spaces and usage examples.
Cons
  • Requires careful prompt engineering and use of negative prompts to avoid artifacts.
  • Not deployed on any inference provider, so users must host the model themselves or use Hugging Face Spaces.
  • Primarily designed for text-to-image; no built-in support for other modalities like image-to-image or inpainting (though possible with custom code).
  • Model may produce inconsistent results if parameters (CFG, sampler, hires fix) are not tuned.
  • Documentation is limited to the model card; no official support or tutorials from the developer.

Best For

Graphic Designers: Generate high-quality images for design projects.Content Creators: Create visually appealing images for blogs, social media, and other content platforms.Marketing Teams: Produce realistic images for marketing campaigns and advertisements.Artists: Experiment with AI-generated art to find inspiration and new ideas.Educators: Develop educational materials that include realistic images to enhance learning.Researchers: Utilize AI-generated images for research in various fields like computer vision and AI.Small Businesses: Create professional-quality images without the need for a dedicated graphic designer.Game Developers: Generate assets and concept art for video games.Publishing Industry: Produce high-quality illustrations for books, articles, and other media.E-commerce: Generate product images for online stores to attract customers.

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