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-140000/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-140000/optimizer.bin
- Command line
-
hf download hf://mozci/logostablediff/checkpoint-140000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/mozci/logostablediff/resolve/main/checkpoint-140000/optimizer.bin
6.59 MB
- Xet hash:
- 1385698d3e249ae9a6784f5c0d9604d8539f336ada8399427badabbf8474ca03
- Size of remote file:
- 6.59 MB
- SHA256:
- 1e4851baffbf87872cf02f7cba613d89609fdbc810b0981ece0f2a3ea4f6209a
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