Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use Chris7777777/path-to-save-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Chris7777777/path-to-save-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Chris7777777/path-to-save-model", 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
- Xet hash:
- 40865c90753d7c297b5d9dbc3f0f57c1423cced52f481373c52cb66e4762cbb9
- Size of remote file:
- 1.97 GB
- SHA256:
- 91cbcf72ad8e6d0a89ca39bbf581c325099d2cfdd43bb159fc26b03796f7bec6
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