diff --git a/gen_compare_guess_mode/README.md b/gen_compare_guess_mode/README.md new file mode 100644 index 0000000000000000000000000000000000000000..82ce5f52b0ab89a307a48f1675c265ec5556abab --- /dev/null +++ b/gen_compare_guess_mode/README.md @@ -0,0 +1,162 @@ +# ControlNet Generation Comparison + +## ControlNet canny + +|seed|ref|diffusers|ref guess_mode|diffusers guess_mode| +|---|---|---|---|---|---| +|0||||| +|1||||| +|2||||| +|3||||| +|0||||| +|1||||| +|2||||| +|3||||| +|0||||| +|1||||| +|2||||| +|3||||| +|0||||| +|1||||| +|2||||| +|3||||| +## ControlNet normal + +|seed|ref|diffusers|ref guess_mode|diffusers guess_mode| +|---|---|---|---|---|---| +|0||||| +|1||||| +|2||||| +|3||||| +|0||||| +|1||||| +|2||||| +|3||||| +|0||||| +|1||||| +|2||||| +|3||||| +|0||||| +|1||||| +|2||||| +|3||||| +## ControlNet depth + +|seed|ref|diffusers|ref guess_mode|diffusers guess_mode| +|---|---|---|---|---|---| +|0||||| +|1||||| +|2||||| +|3||||| +|0||||| +|1||||| +|2||||| +|3||||| +|0||||| +|1||||| +|2||||| +|3||||| +|0||||| +|1||||| +|2||||| +|3||||| +## ControlNet openpose + +|seed|ref|diffusers|ref guess_mode|diffusers guess_mode| +|---|---|---|---|---|---| +|0||||| +|1||||| +|2||||| +|3||||| +|0||||| +|1||||| +|2||||| +|3||||| +|0||||| +|1||||| +|2||||| +|3||||| +|0||||| +|1||||| +|2||||| +|3||||| +## ControlNet hed + +|seed|ref|diffusers|ref guess_mode|diffusers guess_mode| +|---|---|---|---|---|---| +|0||||| +|1||||| +|2||||| +|3||||| +|0||||| +|1||||| +|2||||| +|3||||| +|0||||| +|1||||| +|2||||| +|3||||| +|0||||| +|1||||| +|2||||| +|3||||| +## ControlNet scribble + +|seed|ref|diffusers|ref guess_mode|diffusers guess_mode| +|---|---|---|---|---|---| +|0||||| +|1||||| +|2||||| +|3||||| +|0||||| +|1||||| +|2||||| +|3||||| +|0||||| +|1||||| +|2||||| +|3||||| +|0||||| +|1||||| +|2||||| +|3||||| +## ControlNet mlsd + +|seed|ref|diffusers|ref guess_mode|diffusers guess_mode| +|---|---|---|---|---|---| +|0||||| +|1||||| +|2||||| +|3||||| +|0||||| +|1||||| +|2||||| +|3||||| +|0||||| +|1||||| +|2||||| +|3||||| +|0||||| +|1||||| +|2||||| +|3||||| +## ControlNet seg + +|seed|ref|diffusers|ref guess_mode|diffusers guess_mode| +|---|---|---|---|---|---| +|0||||| +|1||||| +|2||||| +|3||||| +|0||||| +|1||||| +|2||||| +|3||||| +|0||||| +|1||||| +|2||||| +|3||||| +|0||||| +|1||||| +|2||||| +|3||||| diff --git a/gen_compare_guess_mode/gen_diffusers_image.py b/gen_compare_guess_mode/gen_diffusers_image.py new file mode 100644 index 0000000000000000000000000000000000000000..c4a9be04c8c74686dbd69e2181b7dec002d13529 --- /dev/null +++ b/gen_compare_guess_mode/gen_diffusers_image.py @@ -0,0 +1,72 @@ +# Diffusers' ControlNet Implementation Subjective Evaluation +# https://github.com/takuma104/diffusers/tree/controlnet + +import einops +import numpy as np +import torch +import sys +import os + +from diffusers import StableDiffusionControlNetPipeline, ControlNetModel + +from PIL import Image + +test_prompt = "best quality, extremely detailed" +test_negative_prompt = "lowres, bad anatomy, worst quality, low quality" + +def generate_image(seed, prompt, negative_prompt, control, guess_mode=False): + latent = torch.randn((1,4,64,64), device="cpu", generator=torch.Generator(device="cpu").manual_seed(seed)).cuda() + image = pipe( + prompt=prompt, + negative_prompt=negative_prompt, + guidance_scale=9.0, + num_inference_steps=20, + latents=latent, + #generator=torch.Generator(device="cuda").manual_seed(seed), + image=control, + guess_mode=guess_mode, + ).images[0] + return image + +if __name__ == '__main__': + model_name = sys.argv[1] + control_image_folder = '../gen_compare/control_images/converted/' + output_image_folder = './output_images/diffusers/' + os.makedirs(output_image_folder, exist_ok=True) + + model_id = f'lllyasviel/sd-controlnet-{model_name}' + + controlnet = ControlNetModel.from_pretrained(model_id) + pipe = StableDiffusionControlNetPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", + revision="non-ema", + controlnet=controlnet, + safety_checker=None).to("cuda") + #pipe.enable_attention_slicing(1) + + image_types = {'bird', 'human', 'room', 'vermeer'} + + for image_type in image_types: + control_image = Image.open(f'{control_image_folder}control_{image_type}_{model_name}.png') + control = np.array(control_image)[:,:,::-1].copy() + control = torch.from_numpy(control).float().cuda() / 255.0 + control = torch.stack([control for _ in range(1)], dim=0) + control = einops.rearrange(control, 'b h w c -> b c h w').clone() + + for seed in range(4): + image = generate_image(seed=seed, + prompt=test_prompt, + negative_prompt=test_negative_prompt, + control=control) + image.save(f'{output_image_folder}output_{image_type}_{model_name}_{seed}.png') + image = generate_image(seed=seed, + prompt="", + negative_prompt="", + control=control, + guess_mode=True) + image.save(f'{output_image_folder}output_{image_type}_{model_name}_{seed}_gm.png') + # image = generate_image(seed=seed, + # prompt=test_prompt, + # negative_prompt=test_negative_prompt, + # control=control, + # guess_mode=True) + # image.save(f'{output_image_folder}output_{image_type}_{model_name}_{seed}_gm_wp.png') \ No newline at end of file diff --git a/gen_compare_guess_mode/gen_diffusers_image.sh b/gen_compare_guess_mode/gen_diffusers_image.sh new file mode 100755 index 0000000000000000000000000000000000000000..10363253d42648d1bf732106db7348838dbdeeec --- /dev/null +++ b/gen_compare_guess_mode/gen_diffusers_image.sh @@ -0,0 +1,9 @@ +#!/bin/bash + +models=("canny" "normal" "depth" "openpose" "hed" "scribble" "mlsd" "seg") + +for model in "${models[@]}" +do + echo $model + python gen_diffusers_image.py $model +done \ No newline at end of file diff --git a/gen_compare_guess_mode/gen_markdown.py b/gen_compare_guess_mode/gen_markdown.py new file mode 100644 index 0000000000000000000000000000000000000000..c68fe834b8a2017ad933d42203b2b7786b7fc222 --- /dev/null +++ b/gen_compare_guess_mode/gen_markdown.py @@ -0,0 +1,45 @@ +import sys + +cnet_models = ["canny", "normal", "depth", "openpose", "hed", "scribble", "mlsd", "seg"] +processors = ["ref", "diffusers"] +image_types = ['bird', 'human', 'room', 'vermeer'] + +print(f"# ControlNet Generation Comparison") +print("") + +def print_header(): + print("|seed|", end="") + for proc in processors: + print(f"{proc} with prompt|", end="") + for proc in processors: + print(f"{proc} guess_mode|", end="") + print("") + + print("|", end="") + for _ in range((len(processors) + 1) * 2): + print("---|", end="") + print("") + +def get_url(path): + url = "./output_images/" + # url = 'https://huggingface.co/takuma104/controlnet_dev/resolve/main/gen_compare_guess_mode/output_images/' + return url + path +for cnet in cnet_models: + print(f"## ControlNet {cnet}") + print("") + print_header() + + for image_type in image_types: + for seed in range(4): + print(f"|{seed}|", end="") + for proc in processors: + url = get_url(path=f"{proc}/output_{image_type}_{cnet}_{seed:01d}.png") + print(f'|', end="") + + for proc in processors: + url = get_url(path=f"{proc}/output_{image_type}_{cnet}_{seed:01d}_gm.png") + print(f'|', end="") + + # url = get_url(path=f"{proc}/output_{image_type}_{cnet}_{seed:01d}_gm_wp.png") + # print(f'|', end="") + print("") diff --git a/gen_compare_guess_mode/gen_markdowns.sh b/gen_compare_guess_mode/gen_markdowns.sh new file mode 100755 index 0000000000000000000000000000000000000000..077da3381dad3df721f9fe3be217815fa6f6a924 --- /dev/null +++ b/gen_compare_guess_mode/gen_markdowns.sh @@ -0,0 +1,4 @@ +#!/bin/bash + +python gen_markdown.py > README.md + diff --git a/gen_compare_guess_mode/gen_reference_image.py b/gen_compare_guess_mode/gen_reference_image.py new file mode 100644 index 0000000000000000000000000000000000000000..b50671748014ca3632cd8613e666839567f2bcff --- /dev/null +++ b/gen_compare_guess_mode/gen_reference_image.py @@ -0,0 +1,67 @@ +# from https://github.com/lllyasviel/ControlNet/blob/main/gradio_canny2image.py + +import einops +import numpy as np +import torch +from PIL import Image +import sys +import os + +sys.path.append('../../../ControlNet') + +from share import * +from pytorch_lightning import seed_everything +from cldm.model import create_model, load_state_dict +from cldm.ddim_hacked import DDIMSampler +from diffusers.utils import load_image + +test_prompt = "best quality, extremely detailed" +test_negative_prompt = "lowres, bad anatomy, worst quality, low quality" + +@torch.no_grad() +def generate(prompt, n_prompt, seed, control, ddim_steps=20, eta=0.0, scale=9.0, H=512, W=512, strength = 1.0, guess_mode=False): + seed_everything(seed) + + cond = {"c_concat": [control], "c_crossattn": [model.get_learned_conditioning([prompt] * num_samples)]} + un_cond = {"c_concat": None if guess_mode else [control], "c_crossattn": [model.get_learned_conditioning([n_prompt] * num_samples)]} + shape = (4, H // 8, W // 8) + + model.control_scales = [strength * (0.825 ** float(12 - i)) for i in range(13)] if guess_mode else ([strength] * 13) # Magic number. IDK why. Perhaps because 0.825**12<0.01 but 0.826**12>0.01 + latent = torch.randn((1,) + shape, device="cpu", generator=torch.Generator(device="cpu").manual_seed(seed)).cuda() + samples, intermediates = ddim_sampler.sample(ddim_steps, num_samples, + shape, cond, x_T=latent, + verbose=False, eta=eta, + unconditional_guidance_scale=scale, + unconditional_conditioning=un_cond) + x_samples = model.decode_first_stage(samples) + x_samples = (einops.rearrange(x_samples, 'b c h w -> b h w c') * 127.5 + 127.5).cpu().numpy().clip(0, 255).astype(np.uint8) + + return Image.fromarray(x_samples[0]) + +if __name__ == '__main__': + model_name = sys.argv[1] + + control_image_folder = '../gen_compare/control_images/converted/' + output_image_folder = 'output_images/ref/' + os.makedirs(output_image_folder, exist_ok=True) + + num_samples = 1 + model = create_model('../../../ControlNet/models/cldm_v15.yaml').cpu() + model.load_state_dict(load_state_dict(f'../../ControlNet/models/control_sd15_{model_name}.pth', location='cpu')) + model = model.cuda() + ddim_sampler = DDIMSampler(model) + + image_types = {'bird', 'human', 'room', 'vermeer'} + + for image_type in image_types: + control_image = Image.open(f'{control_image_folder}control_{image_type}_{model_name}.png') + control = np.array(control_image)[:,:,::-1].copy() + control = torch.from_numpy(control).float().cuda() / 255.0 + control = torch.stack([control for _ in range(num_samples)], dim=0) + control = einops.rearrange(control, 'b h w c -> b c h w').clone() + + for seed in range(4): + image = generate(test_prompt, test_negative_prompt, seed=seed, control=control) + image.save(f'{output_image_folder}output_{image_type}_{model_name}_{seed}.png') + image = generate("", "", seed=seed, control=control, guess_mode=True) + image.save(f'{output_image_folder}output_{image_type}_{model_name}_{seed}_gm.png') \ No newline at end of file diff --git a/gen_compare_guess_mode/gen_reference_image.sh b/gen_compare_guess_mode/gen_reference_image.sh new 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