Text-to-Image
Diffusers
OpenVINO
English
OVStableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
art
artistic
anime
dreamshaper
lcm
openvino-export
Instructions to use plane0654/dreamshaper-8-lcm-openvino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use plane0654/dreamshaper-8-lcm-openvino with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("plane0654/dreamshaper-8-lcm-openvino", torch_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
- Xet hash:
- c81a7ab8d0c73b364163b9750b401f9b3718aa5e4c36e62114f16ca77e9fae61
- Size of remote file:
- 198 MB
- SHA256:
- 303f9cf26b47b83777360fa6c8b61e980e606452d322a939e94c4a71b9e15c50
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