Instructions to use bulwaith/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bulwaith/output with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bulwaith/output") prompt = "a photo of sks antonio" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-100/optimizer.bin from bulwaith/output: direct link, hf CLI and curl.
- Browser
- Download file 6.58 MB
-
https://huggingface.co/bulwaith/output/resolve/main/checkpoint-100/optimizer.bin
- Command line
-
hf download hf://bulwaith/output/checkpoint-100/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/bulwaith/output/resolve/main/checkpoint-100/optimizer.bin
6.58 MB
- Xet hash:
- 2f5c6e45a4261515bfb8b9f1f1ae0437d9c8fbfef53d32800e70c851abf1f25a
- Size of remote file:
- 6.58 MB
- SHA256:
- e0af8eeb5e1517df393566bb781e76d0ad5cfe96c069440f41e7dfaff1898da9
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