Instructions to use hohs/SiTH-diffusion-1K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hohs/SiTH-diffusion-1K with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hohs/SiTH-diffusion-1K", 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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
controlnet/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8773298b2a3245668e2f509e2a6af37171eab045047db85dcb93581c6b552581
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size 1445206080
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image_encoder/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e58ac58ff5110a60ce6a3ce28f89dc94dfb74ed88dd8a95fb72c7e3e80f2f780
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size 1215914880
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projection/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5874ce43b78724c71496b78fa0ecb632c1b6dff580ec5117db4d8afe3452a310
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size 3145856
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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 sha256:7735721828764e41a89c3cfba8b74b813d33a4e809e2335b579eca83236231ef
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size 3438213624
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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 sha256:2aa1f43011b553a4cba7f37456465cdbd48aab7b54b9348b890e8058ea7683ec
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size 334643268
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