Text-to-Image
Diffusers
Safetensors
DDMPipeline
diffusion
multi-expert
dit
laion
distributed
decentralized
flow-matching
Instructions to use bageldotcom/paris with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bageldotcom/paris with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bageldotcom/paris", 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:
- bb1f5ccdd34447c9c02eddf92d81106d84b309d5d0407da0c9e50490bd5ad7a9
- Size of remote file:
- 2.46 MB
- SHA256:
- d1ccbd5a554519c8c3e0356afc2b14637cd43aaee3d5b96877ce1b2fc8856c93
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