Text-to-Image
Diffusers
OpenVINO
English
OVStableDiffusionPipeline
stable-diffusion
image-to-image
openvino-export
Instructions to use HelloSun/EimisAnimeDiffusion_1.0v-openvino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HelloSun/EimisAnimeDiffusion_1.0v-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("HelloSun/EimisAnimeDiffusion_1.0v-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:
- b2c9636bb0d4c62af333e729d6457130aab3caf9547acc490638bdb1110bc1a8
- Size of remote file:
- 137 MB
- SHA256:
- 1257d09ce2d33a4c20f44cc36f1fec0d584a653de7ba59c896c37fa1c5a6938d
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