Instructions to use mozci/nonstablediff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mozci/nonstablediff 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/nonstablediff") 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-100000/optimizer.bin from mozci/nonstablediff: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/mozci/nonstablediff/resolve/main/checkpoint-100000/optimizer.bin
- Command line
-
hf download hf://mozci/nonstablediff/checkpoint-100000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/mozci/nonstablediff/resolve/main/checkpoint-100000/optimizer.bin
6.59 MB
- Xet hash:
- f475bf6a47759d6bcb40fd9816720de417eebf24a7ed5099c46d13e10fe023e0
- Size of remote file:
- 6.59 MB
- SHA256:
- 776138953cf4b97ac0487f65242d1213a91af838a282a919219f0ffe55fbd20a
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