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https://github.com/cloneofsimo/lora_dreambooth_replicate

https://github.com/cloneofsimo/lora_dreambooth_replicate

Science Score: 26.0%

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Last synced: 11 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: cloneofsimo
  • Language: Jupyter Notebook
  • Default Branch: master
  • Size: 3.64 MB
Statistics
  • Stars: 4
  • Watchers: 2
  • Forks: 4
  • Open Issues: 1
  • Releases: 0
Created over 3 years ago · Last pushed over 3 years ago
Metadata Files
Readme

readme.md

Use LoRA PTI Cog

First, download the pre-trained weights with your Hugging Face auth token:

cog run script/download-weights <your-hugging-face-auth-token>

Then, you can run train your dreambooth:

cog predict -i instance_data=@quo.zip

Resulting file will contain LoRAs that can be used with patch_pipe function:

```python from diffusers import StableDiffusionPipeline from loradiffusion import patchpipe, tunelorascale, image_grid import torch

model_id = "runwayml/stable-diffusion-v1-5"

pipe = StableDiffusionPipeline.frompretrained(modelid, torch_dtype=torch.float16).to( "cuda:1" )

patchpipe(pipe, "./step1000.safetensors") prompt = "detailed photo of , detailed face, a brown cloak, brown steampunk corset, belt, virtual youtuber, cowboy shot, feathers in hair, feather hair ornament, white shirt, brown gloves, shooting arrows"

tunelorascale(pipe.unet, 0.8) tunelorascale(pipe.text_encoder, 0.8)

imgs = pipe( [prompt], numinferencesteps=50, guidance_scale=4.5, height=640, width=512, ).images ...

```

Example Doc on running safetensor PTI outputs at inference_example.ipynb

Owner

  • Name: Simo Ryu
  • Login: cloneofsimo
  • Kind: user
  • Company: Corca AI

Cats are Turing machines cloneofsimo@gmail.com

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SimoRyu c****o@k****r 6
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  • anotherjesse (1)
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