Instructions to use iamprabhanjan/Mini-Project-ttv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use iamprabhanjan/Mini-Project-ttv with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("iamprabhanjan/Mini-Project-ttv", 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 vae files
Browse files
vae/diffusion_pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:36bb8e1b54aba3a0914eb35fba13dcb107e9f18d379d1df2158732cd4bf56a94
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size 334711857
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vae/diffusion_pytorch_model.fp16.bin
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oid sha256:c13979094c6566d9aa5936879055457022f34a747eeba12542504853385077c8
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size 167405395
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vae/diffusion_pytorch_model.fp16.safetensors
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oid sha256:c8b011e5a18c53888d51a81aa28223ddec87b450c14dc9650d9c3ebbcd17624e
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size 167335350
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vae/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a1d993488569e928462932c8c38a0760b874d166399b14414135bd9c42df5815
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size 334643276
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