Instructions to use tmklein/path-to-save-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tmklein/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("tmklein/path-to-save-model") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-400/optimizer.bin from tmklein/path-to-save-model: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/tmklein/path-to-save-model/resolve/main/checkpoint-400/optimizer.bin
- Command line
-
hf download hf://tmklein/path-to-save-model/checkpoint-400/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/tmklein/path-to-save-model/resolve/main/checkpoint-400/optimizer.bin
6.59 MB
- Xet hash:
- 87be5f4c331b089f2dc9a524a214cc800558ddae7ccc9ef04643737984a2060c
- Size of remote file:
- 6.59 MB
- SHA256:
- 56ea40fe2e7b1f51fd0361c293cd4b230bd62e5590a39ab70bb2c5ffacf616aa
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