Hi all, I have pushed the weights of my Dreambooth model to Huggingface (I used LoRa model). I confirm that pytorch_lora_weights.safetensors is indeed on Huggingface. When I want to get inference from the model,
install conda-forge and diffusers conda install -c conda-forge diffusers run python testSD.py llm (use microsoft/phi-2) Update your local transformers to the development version pip uninstall -y transformers && pip install git+https://github.com/huggingface/transformers run python testPhi2...
Dreambooth is now supported in HuggingFace Diffusers for training with Stable Diffusion. Try it out here:
python -m pip install git+https://github.com/huggingface/optimum.git For the accelerator-specific features, appendoptimum[accelerator_type]to the above command: python -m pip install optimum[onnxruntime]@git+https://github.com/huggingface/optimum.git Accelerated Inference 🤗 Optimum provides multi...
import os import torch import torch.nn as nn from PIL import Image from diffusers import AutoencoderKL, StableDiffusionXLPipeline,DPMSolverMultistepScheduler from diffusers.image_processor import VaeImageProcessor from diffusers.models.attention_processor import ( AttnProcessor2_0, LoRAAttnProcessor2_0,...
huggingface/diffusers ximinng/DiffSketcher THUDM/ImageReward ximinng/PyTorch-SVGRender We gratefully thank the authors for their wonderful works. If you use this code for your research, please cite the following work: @InProceedings{svgdreamer_xing_2023, author = {Xing, Ximing and Zhou, Haitao ...
UCSC-VLAA/HQ-Edit Quick Start Make sure to install the libraries first: pip install accelerate transformers pip install git+https://github.com/huggingface/diffusers import torch from diffusers import StableDiffusionXLInstructPix2PixPipeline from diffusers.utils import load_image resolution = 768 image...
apt-get install git-lfs gitclonehttps://github.com/Kwai-Kolors/KolorscdKolors conda create --name kolors python=3.8 conda activate kolors pip install -r requirements.txt python3 setup.py install Weights download(link): huggingface-cli download --resume-download Kwai-Kolors/Kolors --local-dir we...
huggingface/diffusers We gratefully thank the authors for their wonderful works. If you use this code for your research, please cite the following work: @inproceedings{xing2023diffsketcher, title={DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models}, author={XiMing Xing ...
Using Diffusers Diffusers docs Gradio Demo We construct an online demo inHuggingface. For the local gradio demo, you need to installpip install gradio spaces, and then you can run: pipinstallgradiospacespythonapp.py Use Google Colab To use with Google Colab, please use the following command: ...