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", 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:
- be31b9fe7fa4bda1064a9496a0322836a467dd66f40d7b7aac8f1bcd8a6e2030
- Size of remote file:
- 4.13 MB
- SHA256:
- aab7200fa16b1e19e20a95b99a146771e3f6b15e0282a7cca5f68ee8dfdb2b2e
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