Instructions to use jinofcoolnes/syntheticcmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jinofcoolnes/syntheticcmodel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jinofcoolnes/syntheticcmodel", 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
#3
by SFconvertbot - opened
comodel2.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fa131dc21c5bf772c1868310920c5dd11303c405c31623a708f000265e7c2a44
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size 2607359952
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text_encoder/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8a936839b20f8e74d43b9ac4b17eeb2ec9b32c1908e77ab2e7449433fc0a1eaf
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size 1361597016
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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 sha256:72ccf96033152767b15d0f464721da3ddd2fe5156e9eb1e8d707841eb3627209
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size 3463726504
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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 sha256:55ad9628530430eed28c01dcf3c971a29ffe5d657856cb054728b6c956da3037
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size 334643276
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