patrickvonplaten
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Duplicate from ControlNet-1-1-preview/control_v11p_sd15_inpaint
Browse files- .gitattributes +34 -0
- README.md +13 -0
- config.json +42 -0
- control_net_inpaint.py +55 -0
- diffusion_pytorch_model.bin +3 -0
- diffusion_pytorch_model.fp16.bin +3 -0
- diffusion_pytorch_model.fp16.safetensors +3 -0
- diffusion_pytorch_model.safetensors +3 -0
.gitattributes
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README.md
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---
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license: openrail
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base_model: runwayml/stable-diffusion-v1-5
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tags:
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- art
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- controlnet
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- stable-diffusion
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duplicated_from: ControlNet-1-1-preview/control_v11p_sd15_inpaint
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---
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# Controlnet - v1.1 - *InPaint Version*
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TODO
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config.json
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{
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"_class_name": "ControlNetModel",
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"_diffusers_version": "0.16.0.dev0",
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"_name_or_path": "/home/patrick/controlnet_v1_1/control_v11p_sd15_inpaint",
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"act_fn": "silu",
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"attention_head_dim": 8,
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"block_out_channels": [
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320,
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640,
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1280,
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1280
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],
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"class_embed_type": null,
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"conditioning_embedding_out_channels": [
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16,
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32,
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96,
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256
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],
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"controlnet_conditioning_channel_order": "rgb",
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"cross_attention_dim": 768,
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"down_block_types": [
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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],
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"downsample_padding": 1,
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"flip_sin_to_cos": true,
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"freq_shift": 0,
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"in_channels": 4,
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"layers_per_block": 2,
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"mid_block_scale_factor": 1,
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"norm_eps": 1e-05,
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"norm_num_groups": 32,
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"num_class_embeds": null,
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"only_cross_attention": false,
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"projection_class_embeddings_input_dim": null,
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"resnet_time_scale_shift": "default",
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"upcast_attention": false,
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"use_linear_projection": false
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}
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control_net_inpaint.py
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#!/usr/bin/env python3
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import torch
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import os
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from huggingface_hub import HfApi
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from pathlib import Path
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from diffusers.utils import load_image
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from PIL import Image
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import numpy as np
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from diffusers import (
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ControlNetModel,
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StableDiffusionControlNetPipeline,
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DDIMScheduler,
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)
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import sys
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checkpoint = sys.argv[1]
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# pre-process image and mask
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image = load_image("https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png").convert('RGB')
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mask_image = load_image("https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo_mask.png").convert("L")
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# convert to float32
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image = np.asarray(image, dtype=np.float32)
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mask_image = np.asarray(mask_image, dtype=np.float32)
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image[mask_image > 127] = -255.0
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image = torch.from_numpy(image)[None].permute(0, 3, 1, 2) / 255.0
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prompt = "A blue cat sitting on a park bench"
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controlnet = ControlNetModel.from_pretrained(checkpoint, torch_dtype=torch.float16)
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pipe = StableDiffusionControlNetPipeline.from_pretrained(
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"runwayml/stable-diffusion-v1-5", controlnet=controlnet, torch_dtype=torch.float16
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)
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pipe.scheduler = DDIMScheduler.from_config(pipe.scheduler.config)
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pipe.enable_model_cpu_offload()
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generator = torch.manual_seed(0)
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out_image = pipe(prompt, num_inference_steps=20, generator=generator, image=image, guidance_scale=9.0).images[0]
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path = os.path.join(Path.home(), "images", "aa.png")
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out_image.save(path)
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api = HfApi()
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api.upload_file(
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path_or_fileobj=path,
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path_in_repo=path.split("/")[-1],
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repo_id="patrickvonplaten/images",
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repo_type="dataset",
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)
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print("https://huggingface.co/datasets/patrickvonplaten/images/blob/main/aa.png")
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diffusion_pytorch_model.bin
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size 1445254969
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diffusion_pytorch_model.fp16.bin
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size 722698343
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diffusion_pytorch_model.fp16.safetensors
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diffusion_pytorch_model.safetensors
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