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
add AIBOM
#11 opened 9 months ago
by
sabato-nocera
how to improve the issue of color offset
#10 opened over 1 year ago
by
woshin
definition of apply_low_pass_filter?
➕ 1
#9 opened over 1 year ago
by
alanyhan
super resolution use python
#8 opened almost 2 years ago
by
Vladislav-ml
Need more detailed instructions on how to use with USDU
#7 opened almost 2 years ago
by
MysticDaedra
This works amazing!
🤝 2
#6 opened almost 2 years ago
by
dicksondickson
How to use it with stable diffusion?
1
#5 opened about 2 years ago
by
Hans-Peter-Gustaf
Does it work for anime?
2
#3 opened about 2 years ago
by
Winnougan
how to compitable with diffusers sdxl controlnet pipeline?
10
#2 opened over 2 years ago
by
tanghengjian