Text-to-Image
Diffusers
ONNX
Safetensors
English
StableDiffusionXLPipeline
common-canvas
stable-diffusion
sdxl
Instructions to use common-canvas/CommonCanvas-XL-C with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use common-canvas/CommonCanvas-XL-C with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("common-canvas/CommonCanvas-XL-C", 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:
- 6916277aa2cd209954ab0aece33ae37026812b64eb7182154f3237cb5e9e0b09
- Size of remote file:
- 6.94 GB
- SHA256:
- 727c0895273b9cc5d338d96cdce9812a4b1708ba0c7aa0a6f2a1b26658e10967
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