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:
- 57a8f6b047b4d36015075ebc4f4fecacb381e2e8b7119c19c177170dc3ee67ae
- Size of remote file:
- 462 kB
- SHA256:
- a8ff5f814d3ae1688ba31b2cee77135c0401d46574f480745d17856fb3da467f
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