Instructions to use NightOcean/logo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NightOcean/logo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("NightOcean/logo") 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 checkpoint-5000/optimizer.bin from NightOcean/logo: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/NightOcean/logo/resolve/main/checkpoint-5000/optimizer.bin
- Command line
-
hf download hf://NightOcean/logo/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/NightOcean/logo/resolve/main/checkpoint-5000/optimizer.bin
6.59 MB
- Xet hash:
- 87f3c764c7851f984f9fc7aa203aabcb7354f9c95562a8de6bc3c46dfd928285
- Size of remote file:
- 6.59 MB
- SHA256:
- da68c6277fcf1380d83262a6ce375ae6b6bf1bc24245c834715ddfe36957ee65
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