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:
- 132252c1e63a718a99155b84b1044d776ad7b34e3f55ddfed19a95b925961ee6
- Size of remote file:
- 305 kB
- SHA256:
- b1306739ef8a36f1cc722ba688dfda297a351e56b7dd1f3d1cd883aaf42b955b
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