Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use Jayseon/meoggu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jayseon/meoggu with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Jayseon/meoggu", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of meoggu dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 9da3e3200a93e0429dd8ad1da3630c6537f4f30ca52035a99ee14f99207a1717
- Size of remote file:
- 6.88 GB
- SHA256:
- c2989c10c1788e24addf5cc0d4076f3a6a0d6892dfb5f8b45e5d9cbf57da545f
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