Instructions to use MrPio/Texture-Anything_CNet-SD15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MrPio/Texture-Anything_CNet-SD15 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MrPio/Texture-Anything_CNet-SD15", 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
- Xet hash:
- 203f5349ddc508449f428dc983c4da0f132fdefe9fd528a51aef79d51581f592
- Size of remote file:
- 723 MB
- SHA256:
- 3aa78efa9be29b20a3957cb90f69af9ba75d654587e9eb5db438e9a2508da871
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