Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use marsfu2009/XXMeagStickerYY with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use marsfu2009/XXMeagStickerYY with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("marsfu2009/XXMeagStickerYY", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of XXMeagStickerYY car" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6556b9798cc16ad62639e728cfe9b7e4afcfda271e8056e3541d58e98d9b596e
- Size of remote file:
- 6.88 GB
- SHA256:
- 1917b7b2d4c6f36269135fa5639589717f04ada01304f2917c32c2464e847f9d
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