Instructions to use OzzyGT/SDXL_Controlnet_Tile_Realistic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OzzyGT/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("OzzyGT/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
This is just a renamed copy of the original controlnet https://huggingface.co/TTPlanet/TTPLanet_SDXL_Controlnet_Tile_Realistic_V1 that works out of the box with diffusers in fp16 mode.
controlnet = ControlNetModel.from_pretrained(
"OzzyGT/SDXL_Controlnet_Tile_Realistic", torch_dtype=torch.float16, variant="fp16"
)
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