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-275000/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-275000/optimizer.bin
- Command line
-
hf download hf://mozci/typestablediff/checkpoint-275000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/mozci/typestablediff/resolve/main/checkpoint-275000/optimizer.bin
6.85 MB
- Xet hash:
- 34f219eb2f4c3e7ee9e1b1c67ec9c3b130a7fcfc608ebbe6ec6239c008cf3900
- Size of remote file:
- 6.85 MB
- SHA256:
- 47fba5e4e427e3d502612debef12940f8eb7f2593707384fe22a82914c311f20
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