Instructions to use fdong05/path-to-save-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fdong05/path-to-save-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("fdong05/path-to-save-model") prompt = "a photo of person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-100/optimizer.bin from fdong05/path-to-save-model: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/fdong05/path-to-save-model/resolve/main/checkpoint-100/optimizer.bin
- Command line
-
hf download hf://fdong05/path-to-save-model/checkpoint-100/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/fdong05/path-to-save-model/resolve/main/checkpoint-100/optimizer.bin
6.59 MB
- Xet hash:
- 9f8ab1d2d533c765ad62c7df79ac66ac774cb36d73dc524c0d9af5dca0166f0b
- Size of remote file:
- 6.59 MB
- SHA256:
- 286b19e5fca32408f4689488f11e8585bbb72acf72e9855bda48d8046203ce98
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