Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use DJMOON/lora_01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DJMOON/lora_01 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("DJMOON/lora_01") 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-2/optimizer.bin from DJMOON/lora_01: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/DJMOON/lora_01/resolve/main/checkpoint-2/optimizer.bin
- Command line
-
hf download hf://DJMOON/lora_01/checkpoint-2/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/DJMOON/lora_01/resolve/main/checkpoint-2/optimizer.bin
6.59 MB
- Xet hash:
- 7bd0c42625fa02505541291a91dc2c35524e369d60d370f70279a105781fb42c
- Size of remote file:
- 6.59 MB
- SHA256:
- e04ab515452642a8485a1b2184c83eaad607d56d28d083068a6352efa63e426d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.