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
| license: apache-2.0 | |
| library_name: diffusers | |
| To use it | |
| ```python | |
| 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", | |
| ) | |
| ``` |