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-1500/optimizer.bin from Smoden/wizard_of_oz_diff_lora_1500: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/Smoden/wizard_of_oz_diff_lora_1500/resolve/main/checkpoint-1500/optimizer.bin
- Command line
-
hf download hf://Smoden/wizard_of_oz_diff_lora_1500/checkpoint-1500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Smoden/wizard_of_oz_diff_lora_1500/resolve/main/checkpoint-1500/optimizer.bin
6.59 MB
- Xet hash:
- e123e01f04ddcab69a1189e69260d650fbeeb2ab53a233b90a864e47b245f309
- Size of remote file:
- 6.59 MB
- SHA256:
- 00f0bfd2e60484e3c2e5a08bab8b3402fb7012ec77f44ed344e48ad936042e2f
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