Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
clover-image
diffusion
stable-diffusion
knowledge-distillation
compact
small-model
local-inference
edge-inference
mobile-inference
core-ml
iphone
sd-1.4-class
Instructions to use neonforestmist/Clover-Image-Tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use neonforestmist/Clover-Image-Tiny with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("neonforestmist/Clover-Image-Tiny", dtype=torch.bfloat16, device_map="cuda") prompt = "a glass of red wine" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K
- assets
- benchmarks
- coreml-tools
- evidence
- examples
- feature_extractor
- inpainting
- release
- safety_checker
- scheduler
- text_encoder
- tokenizer
- training
- unet
- vae
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