Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use Royal/stable_diffusionv1-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Royal/stable_diffusionv1-5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Royal/stable_diffusionv1-5", 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:
- 05aff14967667c888545eec4ba474b60e02c30e3b49fcd08d3019dd06470011b
- Size of remote file:
- 134 Bytes
- SHA256:
- 56e5a85ae92f4fb8ecd3ae06ac40a93fd4066dcecf60d2a3cb4f6a32b83795d6
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