Diffusers ControlNet Impl. & Reference Impl. generated image comparison
Implementation Source Code & versions
- Diffusers (in development version): https://github.com/takuma104/diffusers/tree/e758682c00a7d23e271fd8c9fb7a48912838045c
- Reference Impl.: https://github.com/lllyasviel/ControlNet/tree/2f77609bf6a8a2243d9faa198365fc6222c5435f
Environment
- OS: Ubuntu 22.04
- GPU: Nvidia RTX3060 (12GB)
Scripts to generate plots:
- Create control image: create_control_images.py
- Diffusers generated image: gen_diffusers_image.py
- Reference generated image: gen_reference_image.py
- Create Plots: create_plots.py
Original image for control image:
- All images from test_imgs excepts vermeer image. Croped and resized to 512x512px.
Generate Settings:
Control Images:
Converted above original images by controlnet_hinter.
Prompts:
All images were generated with the same prompt.
- Prompt:
best quality, extremely detailed, illustration, looking at viewer - Negative Prompt:
monochrome, lowres, bad anatomy, worst quality, low quality
Ohter setting (both common):
- sampler: DDIM
- guidance_scale: 9.0
- num_inference_steps: 20
- initial random latents: created on CPU using seed
Results:
