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-2000/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-2000/optimizer.bin
- Command line
-
hf download hf://NightOcean/logo/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/NightOcean/logo/resolve/main/checkpoint-2000/optimizer.bin
6.59 MB
- Xet hash:
- 1d6b14b72c06f5fd06d466a2dba63de0df6c08bbddb658928f0fa6be37ef63fb
- Size of remote file:
- 6.59 MB
- SHA256:
- c7ed200b2bad4f8b888ce8a80aca42ac6ae481df2a78ac35e29e1fe45e22136c
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