papercut
#4
by
marcieno1
- opened
- PaperCut_v1.safetensors +0 -3
- README.md +2 -33
- feature_extractor/preprocessor_config.json +0 -20
- model_index.json +0 -32
- safety_checker/config.json +0 -179
- safety_checker/model.safetensors +0 -3
- safety_checker/pytorch_model.bin +0 -3
- scheduler/scheduler_config.json +0 -13
- text_encoder/config.json +0 -25
- text_encoder/model.safetensors +0 -3
- text_encoder/pytorch_model.bin +0 -3
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +0 -24
- tokenizer/tokenizer_config.json +0 -34
- tokenizer/vocab.json +0 -0
- unet/config.json +0 -36
- unet/diffusion_pytorch_model.bin +0 -3
- unet/diffusion_pytorch_model.safetensors +0 -3
- vae/config.json +0 -30
- vae/diffusion_pytorch_model.bin +0 -3
- vae/diffusion_pytorch_model.safetensors +0 -3
PaperCut_v1.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c1d09e3b773a4c273219892c83755bea9c747f5eefb9d2e18a58633572d18b33
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size 4265152488
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README.md
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---
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license: creativeml-openrail-m
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tags:
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- text-to-image
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---
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#
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This is the fine-tuned Stable Diffusion model trained on Paper Cut images.
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Use **PaperCut** in your prompts.
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### Sample images:
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![PaperCut.jpg](https://s3.amazonaws.com/moonup/production/uploads/1667910351389-635749860725c2f190a76e88.jpeg)
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![PaperCut.jpg](https://s3.amazonaws.com/moonup/production/uploads/1667912285222-635749860725c2f190a76e88.jpeg)
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Based on StableDiffusion 1.5 model
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### 🧨 Diffusers
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This model can be used just like any other Stable Diffusion model. For more information,
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please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).
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You can also export the model to [ONNX](https://huggingface.co/docs/diffusers/optimization/onnx), [MPS](https://huggingface.co/docs/diffusers/optimization/mps) and/or [FLAX/JAX]().
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```python
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from diffusers import StableDiffusionPipeline
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import torch
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model_id = "Fictiverse/Stable_Diffusion_PaperCut_Model"
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pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
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pipe = pipe.to("cuda")
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prompt = "PaperCut R2-D2"
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image = pipe(prompt).images[0]
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image.save("./R2-D2.png")
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```
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### ✨ Community spotlight :
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@PiyarSquare :
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[![PiyarSquare video](https://img.youtube.com/vi/wQWHnZlxFj8/0.jpg)](https://www.youtube.com/watch?v=wQWHnZlxFj8)
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@MrPlasm0 :
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[![MrPlasm0 video](https://img.youtube.com/vi/J68hZ_-L6w4/0.jpg)](https://www.youtube.com/watch?v=J68hZ_-L6w4)
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@omsk13 :
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[![Omsk Music video](https://img.youtube.com/vi/BCZOD2AQCFg/0.jpg)](https://www.youtube.com/watch?v=BCZOD2AQCFg)
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---
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license: creativeml-openrail-m
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---
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# Paper Cut model V1
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This is the fine-tuned Stable Diffusion model trained on Paper Cut images.
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Use **PaperCut** in your prompts.
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### Sample images:
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![PaperCut.jpg](https://s3.amazonaws.com/moonup/production/uploads/1667910351389-635749860725c2f190a76e88.jpeg)
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![PaperCut.jpg](https://s3.amazonaws.com/moonup/production/uploads/1667912285222-635749860725c2f190a76e88.jpeg)
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Based on StableDiffusion 1.5 model
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feature_extractor/preprocessor_config.json
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model_index.json
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{
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"_class_name": "StableDiffusionPipeline",
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safety_checker/config.json
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safety_checker/model.safetensors
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