Instructions to use FloydianSound/WLOP_Diffusion_v1-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FloydianSound/WLOP_Diffusion_v1-5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FloydianSound/WLOP_Diffusion_v1-5", 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
- Draw Things
- DiffusionBee
Adding `safetensors` variant of this model
#3
by abruptlyaverage - opened
safety_checker/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4666d0f9b718a6ed165ce95b8aac0d3d78031b8906fdc88ca8e735af5261788c
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size 1215981833
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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 sha256:5a929006ba6210244fe2690e01c5fc0e3acc0f29f145980a541179ba0f547e5f
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size 492265879
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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 sha256:9a9c89ca546ded60bb7fe553f0e9abb44f37e0030579640eb3a32c9e8c09bea4
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size 3438167534
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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 sha256:8b74a590396464cc3a0aef27849573f58da94fbf5a39bafb6067842bf266a329
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size 334643276
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wlop_artstyle_768_e7.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6f341e8b61b3c49a788b89f418ae47163b515250a25457c2f2715ed80715eabf
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size 2132674738
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