Instructions to use dg845/diffusers-lcm-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dg845/diffusers-lcm-dev with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dg845/diffusers-lcm-dev", 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:
- 3ab824994fbd75b64cc202128e25b498ddaef007f67efb236bfd9c8330a9bd6b
- Size of remote file:
- 3.44 GB
- SHA256:
- 7be468469c513f8614a73423aa009581295fbd8c903703450632b2275c0145a9
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