Text-to-Image
Diffusers
OpenVINO
English
StableDiffusionXLPipeline
stable-diffusion
stable-diffusion-diffusers
stable-diffusion-xl
stable-diffusion-xl-turbo
art
artistic
anime
dreamshaper
turbo
lcm
openvino-export
Instructions to use samabogbog/dreamshaper-xl-v2-turbo-openvino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use samabogbog/dreamshaper-xl-v2-turbo-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("samabogbog/dreamshaper-xl-v2-turbo-openvino", 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:
- c96f4010b4266571a4166f52e7d2618313f6a258c665193644631900ad5b5ef4
- Size of remote file:
- 198 MB
- SHA256:
- 812e2d45aea6f0b2b5046fc8df496d70df5ddc684b18c58a55db414d04cb1b92
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