Instructions to use ivanmikhnenkov/tinydit-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ivanmikhnenkov/tinydit-256 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ivanmikhnenkov/tinydit-256", 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
Commit History
6 days ago
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Add diffusers format: TinyDiTPipeline + TinyDiTTransformer2DModel (remote code), bundled T5 and FLUX.2 VAE
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model card: link to the write-up
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model card: link to the demo Space
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Update README.md
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model card: README.md
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model card: drop demo link until the Space exists
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add README.md
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