Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable diffusion
anime
comic book
illustration
Instructions to use EnD-Diffusers/CinnamonToastCrunch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/CinnamonToastCrunch with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/CinnamonToastCrunch", 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:
- 68f0f6e233f7a4d0f49fdeb8508a1f73cbce87cb487aa60fab48f96356c53a0f
- Size of remote file:
- 3.44 GB
- SHA256:
- 2bfde8e5170683fb08599a69d6e42c4a502738c7da6050c5330de9fbbac164f8
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