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
Download vae_encoder/openvino_model.xml from common-canvas/CommonCanvas-XL-C: direct link, hf CLI and curl.
- Browser
- Download file 850 kB
-
https://huggingface.co/common-canvas/CommonCanvas-XL-C/resolve/main/vae_encoder/openvino_model.xml
- Command line
-
hf download hf://common-canvas/CommonCanvas-XL-C/vae_encoder/openvino_model.xml
-
curl -L -o openvino_model.xml https://huggingface.co/common-canvas/CommonCanvas-XL-C/resolve/main/vae_encoder/openvino_model.xml
850 kB
- Xet hash:
- 6c44a52542664dee106a92b3638ab781ea68e3859df52de4585c3fc1339b5bfe
- Size of remote file:
- 850 kB
- SHA256:
- a3ec36b6f3f74d0cb2b005b7c0a1e5426c5ef1e7163b33e463ea57fa049c5996
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