Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use LH18/Train1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LH18/Train1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LH18/Train1", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from LH18/Train1: direct link, hf CLI and curl.
- Browser
- Download file 1.73 GB
-
https://huggingface.co/LH18/Train1/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://LH18/Train1/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/LH18/Train1/resolve/main/checkpoint-500/optimizer.bin
1.73 GB
- Xet hash:
- df7ed0249a00e8544bde43f864c06044b5f5feb77bdf468ab9961767882a6a2f
- Size of remote file:
- 1.73 GB
- SHA256:
- 2a44acf5bdfbf4747cd0eff5f51baeb55aa22dcfdc0618bcf060cd8cd212c3cd
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