Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use preetham/rpanda2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use preetham/rpanda2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("preetham/rpanda2", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks panda" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c7d24c9e116a4453caf489f52614409f1aedb8cead4e1582dba3bc0f6c3ad644
- Size of remote file:
- 1.73 GB
- SHA256:
- d1e3f66ab1e01a4330a49f301d687ebcccfbc27f8b84bec92c6f47537c1403f0
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