Instructions to use InvokeAI/TTPLanet_SDXL_Controlnet_Tile_Realistic_V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use InvokeAI/TTPLanet_SDXL_Controlnet_Tile_Realistic_V1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("InvokeAI/TTPLanet_SDXL_Controlnet_Tile_Realistic_V1", 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
This model is a copy of https://huggingface.co/TTPlanet/TTPLanet_SDXL_Controlnet_Tile_Realistic_V1/tree/d2eb689806cf15cd47b397dc131fab74611615fc. It is hosted here (with files renamed) for compatibility with InvokeAI.
The Community Edition of Invoke AI can be found at invoke.ai or on GitHub at https://github.com/invoke-ai/InvokeAI
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