Instructions to use mozci/logostablediff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mozci/logostablediff with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mozci/logostablediff") 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-230000/optimizer.bin from mozci/logostablediff: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/mozci/logostablediff/resolve/main/checkpoint-230000/optimizer.bin
- Command line
-
hf download hf://mozci/logostablediff/checkpoint-230000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/mozci/logostablediff/resolve/main/checkpoint-230000/optimizer.bin
6.59 MB
- Xet hash:
- 2de9b65b027f90558e3e8219807903f6466b8135e4f45c7a843b259b1d84d637
- Size of remote file:
- 6.59 MB
- SHA256:
- 4979859d3459b9f2a74c4f3aa026d7955e1cf9df11f5e62f239ac8d23a527a79
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