Instructions to use PonyMeng/TPSO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PonyMeng/TPSO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("PonyMeng/TPSO", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download sd15_kappa0.8_lambda1.pt from PonyMeng/TPSO: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/PonyMeng/TPSO/resolve/main/sd15_kappa0.8_lambda1.pt
- Command line
-
hf download hf://PonyMeng/TPSO/sd15_kappa0.8_lambda1.pt
-
curl -L -o sd15_kappa0.8_lambda1.pt https://huggingface.co/PonyMeng/TPSO/resolve/main/sd15_kappa0.8_lambda1.pt
168 MB
- Xet hash:
- 9bdeaa52829f5bb90c271b2a89a88e8460adf39ecc193fabf3d5569bcf4c5a96
- Size of remote file:
- 168 MB
- SHA256:
- 8e0c7c1f87daa6a19da8e7ab06600138cbc35a61bd897a972fc37a6621aadb5e
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