Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use oljike/jackson_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use oljike/jackson_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("oljike/jackson_model", dtype=torch.bfloat16, device_map="cuda") prompt = "jacksondavis person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- a61dd6ab57c797b1624abfdb3ded24f8a80eda2b0c0a853ce9825170f4c388cd
- Size of remote file:
- 246 MB
- SHA256:
- 9ab754067ad03cb25a851efd84d6843756b5182df2da870d73e3173d190114ef
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