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-600/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-600/optimizer.bin
- Command line
-
hf download hf://dpwm/path-to-save-model2/checkpoint-600/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/dpwm/path-to-save-model2/resolve/main/checkpoint-600/optimizer.bin
4 MB
- Xet hash:
- c2e5e568ea018b1697edbe4501c51aaa37605f6cb288c424a298c8c43e392762
- Size of remote file:
- 4 MB
- SHA256:
- 81b5be19af3da3c5276cab8450891279e94ba15ca225bf759134a1628586c104
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