Instructions to use dpwm/path-to-save-model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dpwm/path-to-save-model2 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("dpwm/path-to-save-model2") prompt = "a photo of a 34-year-old man called David Mallows" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-800/optimizer.bin from dpwm/path-to-save-model2: direct link, hf CLI and curl.
- Browser
- Download file 4 MB
-
https://huggingface.co/dpwm/path-to-save-model2/resolve/main/checkpoint-800/optimizer.bin
- Command line
-
hf download hf://dpwm/path-to-save-model2/checkpoint-800/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/dpwm/path-to-save-model2/resolve/main/checkpoint-800/optimizer.bin
4 MB
- Xet hash:
- 9e5355801ec09222f15d5ea4f7c6ef9d49bb8ef7db6cd1e12c8c96e96c6c62ab
- Size of remote file:
- 4 MB
- SHA256:
- a9bae76c6c80cfefa98a6aea39c9c387995fc4272ea63e66618d7cb8ae2f68d5
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