Instructions to use 8glabs/dream_shaper_v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 8glabs/dream_shaper_v6 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("8glabs/dream_shaper_v6", 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
- Draw Things
- DiffusionBee
Add Diffusers weights
#2
by 8glabs - opened
Add Diffusers weights converted from checkpoint dreamshaper_331BakedVae.ckpt in revision 8228aa5bf1867180be1dfccb59db785aae6fe352
8glabs changed pull request status to merged