Instructions to use syaimu/7th_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use syaimu/7th_test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("syaimu/7th_test", 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
Adding `safetensors` variant of this model
#6
by SFconvertbot - opened
text_encoder/model.safetensors
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oid sha256:ad7383976857821ea6fa1f0716fcd8f615e1e307e04aa65dd4ea9e1a07d2fdd2
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size 492265880
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unet/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:855b6a4aa50e7f9548f70da01d8459b74e3031c1851d9c2f7b84b70533a1f4bd
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size 3438167536
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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 sha256:28d9cc793a3a2efaa9b6eacf0b9716f86dcc02afd75720e8aceef4e40c030ecb
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size 334643276
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