Instructions to use Smoden/wizard_of_oz_diff_lora_1500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Smoden/wizard_of_oz_diff_lora_1500 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("Smoden/wizard_of_oz_diff_lora_1500") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-1000/pytorch_model.bin from Smoden/wizard_of_oz_diff_lora_1500: direct link, hf CLI and curl.
- Browser
- Download file 3.29 MB
-
https://huggingface.co/Smoden/wizard_of_oz_diff_lora_1500/resolve/main/checkpoint-1000/pytorch_model.bin
- Command line
-
hf download hf://Smoden/wizard_of_oz_diff_lora_1500/checkpoint-1000/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Smoden/wizard_of_oz_diff_lora_1500/resolve/main/checkpoint-1000/pytorch_model.bin
3.29 MB
- Xet hash:
- f5ac06d344a4a2688dc2ab26028836cac5a68c1123735c5fecb1ade3155d77c9
- Size of remote file:
- 3.29 MB
- SHA256:
- 4796865278b0f9e4bdeef820bc3e0773169894e348e7ae28ccd43b99f419d03b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.