Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
wildcard
Instructions to use Someman/sitar-psych with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Someman/sitar-psych with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Someman/sitar-psych", dtype=torch.bfloat16, device_map="cuda") prompt = "Paint a sitar surrounded by objects and symbols that reflect the cultural and artistic influences of Salvador Dali" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Add `scale_factor` to vae config. (#1)
- Add `scale_factor` to vae config. (910306e09ff06be8c7bb3e9e28fd715c3c00bb42) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>75fd5bd
-
Upload README.md with huggingface_hub
67d2172 -
Upload with huggingface_hub
abb3e23 -
initial commit
f8a0877