Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use evatan/alvan_dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use evatan/alvan_dog with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("evatan/alvan_dog", 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 evatan/alvan_dog: direct link, hf CLI and curl.
- Browser
- Download file 1.73 GB
-
https://huggingface.co/evatan/alvan_dog/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://evatan/alvan_dog/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/evatan/alvan_dog/resolve/main/checkpoint-500/optimizer.bin
1.73 GB
- Xet hash:
- 997c218ee8de187b7b5c6c4749b3779560e7f41802d8a233fd5c78e63bd83bb7
- Size of remote file:
- 1.73 GB
- SHA256:
- adeba0df598b9eea835aec6f46d0549f995429a52096910f9d228d5d06ef2652
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