Instructions to use ImNoOne/f222-inpainting-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ImNoOne/f222-inpainting-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ImNoOne/f222-inpainting-diffusers", 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
#1
by SFconvertbot - opened
safety_checker/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:11cfe53105625af8c00faac32a430626641cce686454f3c39d837f14397d858b
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size 1215981832
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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 sha256:9819a1a550685e4f5018b62ada6837f509827ae068394928d5070ba79d3b8419
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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 sha256:3a4eb300189b387ee932396bc126beee27c917b440f790083b7ab907e719a4c8
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size 3438225152
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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 sha256:720a3c859f2b0c0977dcad23a7e509869cc1e0c83e4ecbdcd7540eece5de6250
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size 334643276
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