Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use drdiffusion/StDiffClo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use drdiffusion/StDiffClo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("drdiffusion/StDiffClo", 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:
- 2558d026adbe2b6c76e4435ed15561471840e37b80a25c8fc2875a42dc693b0e
- Size of remote file:
- 7.95 GB
- SHA256:
- 94f9c6b53cd21e7ae910fcac0ed4870704665fa59173aae25808b5d173a8a4ca
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