Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
anime
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Citrus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Citrus with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/Citrus", 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:
- e005735330c316af36f25a206fc4c461f799b2c0fad5db2339bdb194d41dce25
- Size of remote file:
- 335 MB
- SHA256:
- 03f2c5e266bbb67d547ed3b0b356e0e0ef03e99a2a1f1d1fca2ab86f06ef1b69
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