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:
- c855848a50115c1f6621029887a52a9e7aa4b56eeeb871f1c6395dc825133e1d
- Size of remote file:
- 1.74 GB
- SHA256:
- 7421d7be4afec990c5674b50e1e04910bbe0f06fc0e240a695d6f54cf2976cf3
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