Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use 8eomio/models-moved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 8eomio/models-moved with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("8eomio/models-moved", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks backpack" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- c7682e4475a3305609276896139e74b44fa4f047c0f4af27bcbaeb3edc2d1b15
- Size of remote file:
- 335 MB
- SHA256:
- 7c5cef2a0f410dea412810e1e7dc92b2f6797785c8c0447008ff6e07b99e20f3
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