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
Upload TTPLANET_Controlnet_Tile_realistic_v2_rank256.safetensors
Browse filesupload rank256 version for better VRAM optimization for low VRAM users.
TTPLANET_Controlnet_Tile_realistic_v2_rank256.safetensors
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version https://git-lfs.github.com/spec/v1
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size 774423024
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