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-260000/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-260000/optimizer.bin
- Command line
-
hf download hf://mozci/logostablediff/checkpoint-260000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/mozci/logostablediff/resolve/main/checkpoint-260000/optimizer.bin
6.59 MB
- Xet hash:
- 45dc400b340b54a398dfd6b47cd28953339d14256e72f334845ee026333ff706
- Size of remote file:
- 6.59 MB
- SHA256:
- f6bb9b0efef7c4e9bd02a90910d1856115571a105d9ee5365b7aa9acc9d47925
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