Instructions to use tolgadev/tolgadreamsinbooth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tolgadev/tolgadreamsinbooth with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tolgadev/tolgadreamsinbooth", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Add `scale_factor` to vae config. (#1)
Tolga +1: valhalla - Add `scale_factor` to vae config. (53b393d4ae5aef233e1fd1d9a3e65af322938ad7) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>147c895
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Upload vae with huggingface_hub
Tolgaed4fd35