Counterfeit-V3 on CivitAI vs Drag Your GAN
When comparing Counterfeit-V3 on CivitAI vs Drag Your GAN, which AI Image Generation Model tool shines brighter? We look at pricing, alternatives, upvotes, features, reviews, and more.
In a comparison between Counterfeit-V3 on CivitAI and Drag Your GAN, which one comes out on top?
When we put Counterfeit-V3 on CivitAI and Drag Your GAN side by side, both being AI-powered image generation model tools, The users have made their preference clear, Drag Your GAN leads in upvotes. Drag Your GAN has been upvoted 8 times by aitools.fyi users, and Counterfeit-V3 on CivitAI has been upvoted 6 times.
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Counterfeit-V3 on CivitAI
What is Counterfeit-V3 on CivitAI?
Counterfeit-V3.0 is a Stable Diffusion 1.x checkpoint on Civitai tuned for high-quality anime-style images. Download Counterfeit-V3.0_fp16.safetensors or the fp32 build directly from the model card and load it in any SD 1.x compatible UI.
Anime checkpoints on Civitai compete on character consistency, line quality, and prompt flexibility. Counterfeit-V3.0 builds on earlier Counterfeit V2.0 and V2.5 releases with Hugging Face links and an EasyNegative companion dataset from the same creator.
AI artists, anime illustrators, and Stable Diffusion hobbyists pick Counterfeit-V3.0 when they want a community-tested anime base model with published weight files and Civitai gallery examples rather than training from scratch.
Drag Your GAN
What is Drag Your GAN?
Drag Your GAN lets you reshape a generated image by dragging handle points to target spots on the canvas. Instead of training on labeled pose data or 3D priors, DragGAN moves pixels inside a pretrained GAN's image manifold so edits stay photorealistic even when occluded regions get hallucinated. The project page hosts the SIGGRAPH 2023 paper, demo clips, and links to open source code.
Most GAN editors rely on fixed training annotations or 3D meshes, which limits what you can deform. DragGAN pairs feature-based motion supervision with discriminative point tracking so handle points follow your cursor while staying on the object surface. That makes it useful for nudging animal poses, facial expressions, car angles, and landscape layouts without retraining the generator.
Researchers, graphics students, and computer vision engineers use it to prototype interactive image editing workflows. The Max Planck Institute page distributes the paper PDF and GitHub repo under a non-commercial Creative Commons license, with contact details for the lead author.
Counterfeit-V3 on CivitAI Upvotes
Drag Your GAN Upvotes
Counterfeit-V3 on CivitAI Top Features
Counterfeit-V3.0 Stable Diffusion 1.x checkpoint hosted on Civitai model ID 4468
Download Counterfeit-V3.0_fp16.safetensors or Counterfeit-V3.0_fp32.safetensors from the model card
Creator description labels it a high quality anime style model with Ko-fi support link
Links to Hugging Face Counterfeit V2.0, V2.5, and V3.0 checkpoints plus EasyNegative dataset
Civitai tags include anime base model v3.0 with community rating and download buttons
Works with standard Stable Diffusion 1.x pipelines and trigger words listed on Civitai
Drag Your GAN Top Features
Drag handle points to target positions for precise pixel-level control
Feature-based motion supervision drives handles without 3D priors
Point tracking uses discriminative GAN features to localize handles
Deforms animals, cars, humans, landscapes, and inverted real photos
Open source code published at github.com/XingangPan/DragGAN
Paper and demo videos from SIGGRAPH 2023 Conference Proceedings
Counterfeit-V3 on CivitAI Category
- Image Generation Model
Drag Your GAN Category
- Image Generation Model
Counterfeit-V3 on CivitAI Pricing Type
- Free
Drag Your GAN Pricing Type
- Free