Instructions to use TTPlanet/TTPLanet_SDXL_Controlnet_Tile_Realistic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TTPlanet/TTPLanet_SDXL_Controlnet_Tile_Realistic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TTPlanet/TTPLanet_SDXL_Controlnet_Tile_Realistic", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Does it work for anime?
#3
by Winnougan - opened
I read your model card description and you mentioned that you created it for realism. Seeing as there aren't any tiled controlnet models for SDXL, can this handle anime? Thanks
The answer is yes, it works great for anime. Thank you.
Hi, for anime, which model and how is the KSampler parameter setting? I can not get good reuslt.