Text-to-Image
Diffusers
Trained with AutoTrain
stable-diffusion
stable-diffusion-diffusers
lora
template:sd-lora
Instructions to use stablediffusionapi/my-stablediffusion-lora-7591 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/my-stablediffusion-lora-7591 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/dreamshaperv8", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("stablediffusionapi/my-stablediffusion-lora-7591") prompt = "photo of sruthi" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from stablediffusionapi/my-stablediffusion-lora-7591: direct link, hf CLI and curl.
- Browser
- Download file 25.7 MB
-
https://huggingface.co/stablediffusionapi/my-stablediffusion-lora-7591/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://stablediffusionapi/my-stablediffusion-lora-7591/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/stablediffusionapi/my-stablediffusion-lora-7591/resolve/main/checkpoint-500/optimizer.bin
25.7 MB
- Xet hash:
- 353cabd5c1b61fb7cb08b939bf6334ad25e137be017bdc957d33aaba1a4be512
- Size of remote file:
- 25.7 MB
- SHA256:
- c3c0425663a42acea44d13e40d0bb207a3414d373dbe7e3a81d49bdeabd2028d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.