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
what is the base model to reproduce the results in readme?
#4
by wx44wx - opened
I tried to reproduced the image restoration results in the readme page but failed. Is there any details or suggestions to reproduce the results like base model choice? Thanks in advance.
any realistic model will do, please check my preprocessor for comfyui
wx44wx changed discussion status to closed