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-140000/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-140000/optimizer.bin
- Command line
-
hf download hf://mozci/typestablediff/checkpoint-140000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/mozci/typestablediff/resolve/main/checkpoint-140000/optimizer.bin
6.85 MB
- Xet hash:
- 4ed865162164453cbcdad90c3a82cda863014bea0562e8777b47b7c30cfc92f3
- Size of remote file:
- 6.85 MB
- SHA256:
- 0d04f8748f914ef2b56215abfa6ff77667a7c786d7397fa3c71e76892b79c3bb
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