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:
- f5b595536f281f8db4ab9ae93ee2dc80b1326db30a0422f1858b7e8fad2f310f
- Size of remote file:
- 1 kB
- SHA256:
- 292da4efc7a8f738c6def66954da40f3297d0ce66bc7f39bf63dc452f2047773
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