Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use HediAmine/ChairModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HediAmine/ChairModel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HediAmine/ChairModel", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of vks chair " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from HediAmine/ChairModel: direct link, hf CLI and curl.
- Browser
- Download file 1.73 GB
-
https://huggingface.co/HediAmine/ChairModel/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://HediAmine/ChairModel/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/HediAmine/ChairModel/resolve/main/checkpoint-500/optimizer.bin
1.73 GB
- Xet hash:
- bcc44d20cc990c2ddeac9299ddb96b72a3d8b224f571deb84463cb552d049471
- Size of remote file:
- 1.73 GB
- SHA256:
- f2700ba155598d22c83a76fc6086d87c1cc4e9b98c401ea1420d9c000a57caf3
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