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
tinydit-256: pretraining run 1 (v1-pretrain)
Browse files- model.safetensors +3 -0
- stats.json +70 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:39e441230ffffe5ac623b1259a6c17a5606c4d3ce0bad50d0b812fa433000ff0
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size 417691816
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stats.json
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{
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"mean": [
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],
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"std": [
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]
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}
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