Instructions to use nmkd/stable-diffusion-1.5-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nmkd/stable-diffusion-1.5-fp16 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nmkd/stable-diffusion-1.5-fp16", 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
- Draw Things
- DiffusionBee
- Xet hash:
- f3b768b9a2d7b00a8073c4f9b56c6a4ebc42949c95330ab8758ef6cacd4d82ac
- Size of remote file:
- 1.72 GB
- SHA256:
- 5b4303e6848c23b68c5be9e7312ef26acaabac10d013b3b1dee284974f9f5cdc
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