Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/XRYCJ_RealisticModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/XRYCJ_RealisticModel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("digiplay/XRYCJ_RealisticModel", 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:
- edf195bdb30b53f48fcff938f0aa29840928f47982d20fd81f7ffbf7de2b5342
- Size of remote file:
- 492 MB
- SHA256:
- e72d4c842dd09d25e0c7635d9a113c3389a6284bc9aa19e764f498c71f952d70
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