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panoromic_view

https://github.com/onkarsus13/panoromic_view

Science Score: 44.0%

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Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: Onkarsus13
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 7.46 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme Contributing License Code of conduct Citation

README.md

This repo is inharited form the huggingface diffusers its having more customized implimentation of controlnet, diT and Pixart-alpha

Installation

cd Panoromic_view pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 pip install transformers pandas accelerate safetensors huggingface_hub pip install -e .[all,dev,notebooks] python3 setup.py install

To Run the test_pano.py and test_controlnet.py install cog_sdxl

installation for cog_sdxl

git clone https://github.com/replicate/cog-sdxl cog_sdxl

Then Run the following command to get the inference

``` CUDAVISIBLEDEVICES=0 python3 test_controlnet.py

CUDAVISIBLEDEVICES=0 python3 test_sdxlpano.py ```

You can find the visual results in the visual_results directory

Owner

  • Name: ONKAR Susladkar
  • Login: Onkarsus13
  • Kind: user

Artifitial Inteegence | Deep learning | Computer Vision | Natural language Prosessing |

Citation (CITATION.cff) 

cff-version: 1.2.0
title: 'Diffusers: State-of-the-art diffusion models'
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Patrick
    family-names: von Platen
  - given-names: Suraj
    family-names: Patil
  - given-names: Anton
    family-names: Lozhkov
  - given-names: Pedro
    family-names: Cuenca
  - given-names: Nathan
    family-names: Lambert
  - given-names: Kashif
    family-names: Rasul
  - given-names: Mishig
    family-names: Davaadorj
  - given-names: Thomas
    family-names: Wolf
repository-code: 'https://github.com/huggingface/diffusers'
abstract: >-
  Diffusers provides pretrained diffusion models across
  multiple modalities, such as vision and audio, and serves
  as a modular toolbox for inference and training of
  diffusion models.
keywords:
  - deep-learning
  - pytorch
  - image-generation
  - diffusion
  - text2image
  - image2image
  - score-based-generative-modeling
  - stable-diffusion
license: Apache-2.0
version: 0.12.1

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Dependencies

docker/diffusers-flax-cpu/Dockerfile docker
  • ubuntu 20.04 build
docker/diffusers-flax-tpu/Dockerfile docker
  • ubuntu 20.04 build
docker/diffusers-onnxruntime-cpu/Dockerfile docker
  • ubuntu 20.04 build
docker/diffusers-onnxruntime-cuda/Dockerfile docker
  • nvidia/cuda 11.6.2-cudnn8-devel-ubuntu20.04 build
docker/diffusers-pytorch-cpu/Dockerfile docker
  • ubuntu 20.04 build
docker/diffusers-pytorch-cuda/Dockerfile docker
  • nvidia/cuda 11.7.1-cudnn8-runtime-ubuntu20.04 build
examples/controlnet/requirements.txt pypi
  • accelerate >=0.16.0
  • datasets *
  • ftfy *
  • tensorboard *
  • torchvision *
  • transformers >=4.25.1
examples/controlnet/requirements_flax.txt pypi
  • Jinja2 *
  • datasets *
  • flax *
  • ftfy *
  • optax *
  • tensorboard *
  • torch *
  • torchvision *
  • transformers >=4.25.1
examples/controlnet/requirements_sdxl.txt pypi
  • Jinja2 *
  • accelerate >=0.16.0
  • datasets *
  • ftfy *
  • tensorboard *
  • torchvision *
  • transformers >=4.25.1
  • wandb *
examples/custom_diffusion/requirements.txt pypi
  • Jinja2 *
  • accelerate *
  • ftfy *
  • tensorboard *
  • torchvision *
  • transformers >=4.25.1
examples/dreambooth/requirements.txt pypi
  • Jinja2 *
  • accelerate >=0.16.0
  • ftfy *
  • tensorboard *
  • torchvision *
  • transformers >=4.25.1
examples/dreambooth/requirements_flax.txt pypi
  • Jinja2 *
  • flax *
  • ftfy *
  • optax *
  • tensorboard *
  • torch *
  • torchvision *
  • transformers >=4.25.1
examples/dreambooth/requirements_sdxl.txt pypi
  • Jinja2 *
  • accelerate >=0.16.0
  • ftfy *
  • tensorboard *
  • torchvision *
  • transformers >=4.25.1
examples/instruct_pix2pix/requirements.txt pypi
  • accelerate >=0.16.0
  • datasets *
  • ftfy *
  • tensorboard *
  • torchvision *
  • transformers >=4.25.1
examples/research_projects/colossalai/requirement.txt pypi
  • Jinja2 *
  • diffusers *
  • ftfy *
  • tensorboard *
  • torch *
  • torchvision *
  • transformers *
examples/research_projects/dreambooth_inpaint/requirements.txt pypi
  • Jinja2 *
  • accelerate >=0.16.0
  • diffusers ==0.9.0
  • ftfy *
  • tensorboard *
  • torchvision *
  • transformers >=4.21.0
examples/research_projects/intel_opts/textual_inversion/requirements.txt pypi
  • Jinja2 *
  • accelerate >=0.16.0
  • ftfy *
  • intel_extension_for_pytorch >=1.13
  • tensorboard *
  • torchvision *
  • transformers >=4.21.0
examples/research_projects/intel_opts/textual_inversion_dfq/requirements.txt pypi
  • accelerate *
  • ftfy *
  • modelcards *
  • neural-compressor *
  • tensorboard *
  • torchvision *
  • transformers >=4.25.0
examples/research_projects/lora/requirements.txt pypi
  • Jinja2 *
  • accelerate >=0.16.0
  • datasets *
  • ftfy *
  • tensorboard *
  • torchvision *
  • transformers >=4.25.1
examples/research_projects/mulit_token_textual_inversion/requirements.txt pypi
  • Jinja2 *
  • accelerate >=0.16.0
  • ftfy *
  • tensorboard *
  • torchvision *
  • transformers >=4.25.1
examples/research_projects/mulit_token_textual_inversion/requirements_flax.txt pypi
  • Jinja2 *
  • flax *
  • ftfy *
  • optax *
  • tensorboard *
  • torch *
  • torchvision *
  • transformers >=4.25.1
examples/research_projects/multi_subject_dreambooth/requirements.txt pypi
  • Jinja2 *
  • accelerate >=0.16.0
  • ftfy *
  • tensorboard *
  • torchvision *
  • transformers >=4.25.1
examples/research_projects/onnxruntime/text_to_image/requirements.txt pypi
  • accelerate >=0.16.0
  • datasets *
  • ftfy *
  • modelcards *
  • tensorboard *
  • torchvision *
  • transformers >=4.25.1
examples/research_projects/onnxruntime/textual_inversion/requirements.txt pypi
  • accelerate >=0.16.0
  • ftfy *
  • modelcards *
  • tensorboard *
  • torchvision *
  • transformers >=4.25.1
examples/research_projects/onnxruntime/unconditional_image_generation/requirements.txt pypi
  • accelerate >=0.16.0
  • datasets *
  • tensorboard *
  • torchvision *
examples/text_to_image/requirements.txt pypi
  • Jinja2 *
  • accelerate >=0.16.0
  • datasets *
  • ftfy *
  • tensorboard *
  • torchvision *
  • transformers >=4.25.1
examples/text_to_image/requirements_flax.txt pypi
  • Jinja2 *
  • datasets *
  • flax *
  • ftfy *
  • optax *
  • tensorboard *
  • torch *
  • torchvision *
  • transformers >=4.25.1
examples/textual_inversion/requirements.txt pypi
  • Jinja2 *
  • accelerate >=0.16.0
  • ftfy *
  • tensorboard *
  • torchvision *
  • transformers >=4.25.1
examples/textual_inversion/requirements_flax.txt pypi
  • Jinja2 *
  • flax *
  • ftfy *
  • optax *
  • tensorboard *
  • torch *
  • torchvision *
  • transformers >=4.25.1
examples/unconditional_image_generation/requirements.txt pypi
  • accelerate >=0.16.0
  • datasets *
  • torchvision *
pyproject.toml pypi
setup.py pypi
  • deps *
src/diffusers.egg-info/requires.txt pypi
  • Jinja2 *
  • Pillow *
  • accelerate >=0.11.0
  • black *
  • compel ==0.1.8
  • datasets *
  • filelock *
  • flax >=0.4.1
  • hf-doc-builder >=0.3.0
  • huggingface-hub >=0.13.2
  • importlib_metadata *
  • invisible-watermark >=0.2.0
  • isort >=5.5.4
  • jax *
  • jaxlib >=0.1.65
  • k-diffusion >=0.0.12
  • librosa *
  • numpy *
  • omegaconf *
  • parameterized *
  • protobuf <4,>=3.20.3
  • pytest *
  • pytest-timeout *
  • pytest-xdist *
  • regex *
  • requests *
  • requests-mock ==1.10.0
  • ruff >=0.0.241
  • safetensors >=0.3.1
  • scipy *
  • sentencepiece *
  • tensorboard *
  • torch >=1.4
  • torchvision *
  • transformers >=4.25.1
  • urllib3 <=2.0.0