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
- Draw Things
- DiffusionBee
- Xet hash:
- 57e1069bd4ac324beba0a8d6adce8b1d9d2e14f2f06ed65689cf7ea67a93a946
- Size of remote file:
- 3.29 MB
- SHA256:
- ca04a0896db2298c83311355789c4519134e3278a5c4be57405d23ca6510bbc8
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