Instructions to use jadechoghari/mar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jadechoghari/mar with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jadechoghari/mar", 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
add safetensor base models vae + mae
Browse files- checkpoint-last.safetensors +3 -0
- kl16.safetensors +3 -0
checkpoint-last.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d8735425f563a88bd7aabc5ff8ac43d2b3dbb0777b8dc4e0dbcb1abfb6c5cb07
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size 831736456
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kl16.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ae6e66b66cce64248cace5aa6cf8bdb3e834947801cbf7e059028592e2b1de31
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size 265856244
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