Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
lora
Instructions to use moobastresh/path-to-save-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use moobastresh/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("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("moobastresh/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-200/optimizer.bin from moobastresh/path-to-save-model: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/moobastresh/path-to-save-model/resolve/main/checkpoint-200/optimizer.bin
- Command line
-
hf download hf://moobastresh/path-to-save-model/checkpoint-200/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/moobastresh/path-to-save-model/resolve/main/checkpoint-200/optimizer.bin
6.59 MB
- Xet hash:
- 03dab16ed84cc3ab88aaab13eff8fededc1a78c2e97d2644536eb20fb448c0b2
- Size of remote file:
- 6.59 MB
- SHA256:
- 2b689f7b615733d07b91506e4a91584de758ac5a399fde3f113cb7d41cef6ffd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.