Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Photo
Versatile
Realistic
Art
Sexy
Pinups
Girls
Seeker70
iamxenos
RIXYN
Barons
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/PopCorn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/PopCorn with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/PopCorn", 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:
- 9da6cdde3b3fa884eb646f2cfe660a86f4226a3bb4ad5dcde3a94b710c7d4e6a
- Size of remote file:
- 2.95 GB
- SHA256:
- 6b72e19d3a724ad043d36252a5d8eb3e3278b183af9dd2dd6d631e5eb68ad111
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