Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use PricedAsh/tomato-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PricedAsh/tomato-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("PricedAsh/tomato-model", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of a 00_21 tomato plant" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
b5889a56a8a6c064a988e0b768208b339ede6f6d5bd5842358c40fe979ab7de0
Browse files
checkpoint-500/unet/diffusion_pytorch_model.safetensors
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