Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
diffusion
sd-turbo
quantization
pruning
distillation
edge-ai
mixed-precision
Instructions to use ChenHe727/EdgeDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChenHe727/EdgeDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ChenHe727/EdgeDiffusion", 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:
- 066499910661c273c42d4b4dbad3f54fe2207cf070d29b2459b29f5e2b2bfc9b
- Size of remote file:
- 9.33 MB
- SHA256:
- 1039966094ed016a769bad09e65a9b9c19f8a6593f2e1d8cac0b5ccc6ecc5779
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