Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
science
trypophobia
Instructions to use nazianafis/tryp22-pattern with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nazianafis/tryp22-pattern with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nazianafis/tryp22-pattern", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "a zoomed out photo of a daffodil, with tryp22 pattern in the background, HD" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4cc24abead26b7e51aaf88770e47e79e171af06eebad37d6a0f9c83dd712503a
- Size of remote file:
- 3.44 GB
- SHA256:
- 61e1f7ead0aa6d5186ece1665ecdcf126980d847817138094cae6b72325867bb
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