Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use juliajoanna/sd-runwayml-pororo-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use juliajoanna/sd-runwayml-pororo-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("juliajoanna/sd-runwayml-pororo-model", 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:
- 97266a8a2e48d44aec05a9418d5531e146e3382af90b41c0eef5f380eb50177c
- Size of remote file:
- 6.88 GB
- SHA256:
- a7549c3e641560c32907f05887b26a6a878019b6b4b670b3e6744afe20f5b9c8
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