Instructions to use jyoung105/stable-diffusion-v2-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jyoung105/stable-diffusion-v2-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jyoung105/stable-diffusion-v2-1", 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:
- da1a35fa9d968b5c4966f2cb08bb3401be8f783ae4e1d3721c0c485e4340f1ff
- Size of remote file:
- 167 MB
- SHA256:
- 3990dd555e196524f62e3f922b3b0f7ef04c109acd34466efd9f802163263fba
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