Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
image-to-image
anime
Instructions to use VuDucQuang/anime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VuDucQuang/anime with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("VuDucQuang/anime", 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:
- 805a7e52767544a0fe73cbdecb07de1482b21b2f4c814437e2ca0d60e59c195f
- Size of remote file:
- 101 MB
- SHA256:
- 36428847496c581a42d27bdf0edd0063de64403284757cf13ab1054b7698117c
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