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
398d1eab647e5244855e41c1197623c5e58a1a5673b18c015e5d6a4eb1dc31bb
Browse files
checkpoint-1500/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:81dff8dc52a9a533d94c310abca92c839b13e4ab58f21561ecc50ad5183dd4ed
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size 9651298479
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