Instructions to use segmind/tiny-sd-mxfinetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use segmind/tiny-sd-mxfinetune with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("segmind/tiny-sd-mxfinetune", 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
- Draw Things
- DiffusionBee
- Xet hash:
- e9423c1ea5ef18d8c2271f58c6992286f7a822cccbbbb4fd947b5d4550c7f1f8
- Size of remote file:
- 492 MB
- SHA256:
- 45b98140a05cd7eb4ab1a7a702d439d6528576718100fabbb42c41293636290b
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