Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
clover-image
diffusion
stable-diffusion
knowledge-distillation
compact
local-inference
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", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| accelerate==1.14.0 | |
| diffusers==0.39.0 | |
| ftfy==6.3.1 | |
| huggingface-hub==0.36.2 | |
| numpy==2.2.6 | |
| pillow==12.3.0 | |
| safetensors==0.8.0 | |
| tokenizers==0.22.2 | |
| torch==2.7.0 | |
| torchvision==0.22.0 | |
| transformers==4.57.6 | |