Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use jkcarney/romcom-diffusion-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jkcarney/romcom-diffusion-1.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jkcarney/romcom-diffusion-1.0", torch_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:
- 3ef96e35f46e41dedbf46ca6f90b233dc140527a6166f527ad364cf06dcb8516
- Size of remote file:
- 4.27 GB
- SHA256:
- fb245708c0c154a2752143e0c34db93c8cc03df6dfc21f71ffba27ad29d12f45
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