Instructions to use mozci/typestablediff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mozci/typestablediff with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mozci/typestablediff") 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-105000/optimizer.bin from mozci/typestablediff: direct link, hf CLI and curl.
- Browser
- Download file 6.85 MB
-
https://huggingface.co/mozci/typestablediff/resolve/main/checkpoint-105000/optimizer.bin
- Command line
-
hf download hf://mozci/typestablediff/checkpoint-105000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/mozci/typestablediff/resolve/main/checkpoint-105000/optimizer.bin
6.85 MB
- Xet hash:
- c6b7be30b1e5616fe3f0f26995ef72b38cb5bdbbc49b6dfa8063abbd259566a9
- Size of remote file:
- 6.85 MB
- SHA256:
- b89af8337f6d98e7a781928017b6f9d1b06a74b7ac293b7c80109a5c1fecbed1
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