Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use AaAsr/weight with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AaAsr/weight with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AaAsr/weight", 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-1/optimizer.bin from AaAsr/weight: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/AaAsr/weight/resolve/main/checkpoint-1/optimizer.bin
- Command line
-
hf download hf://AaAsr/weight/checkpoint-1/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/AaAsr/weight/resolve/main/checkpoint-1/optimizer.bin
6.88 GB
- Xet hash:
- 7c48b3c3c8265872e665cfd71fd988be51b399e32fae79131c04586932345810
- Size of remote file:
- 6.88 GB
- SHA256:
- 72dcd06af2c72480cd1fd1da5e18a4e81cb01b2675417b33857016a94eec5d53
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