Instructions to use ValouF-pimento/ControlNet_SDXL_tile_upscale with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ValouF-pimento/ControlNet_SDXL_tile_upscale with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ValouF-pimento/ControlNet_SDXL_tile_upscale", 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
To use it
from diffusers import ControlNetModel
import torch
model = ControlNetModel.from_pretrained(
"ValouF-pimento/ControlNet_SDXL_tile_upscale",
torch_dtype=torch.float16,
use_safetensors=True,
variant="fp16",
)
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