Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use eduardoprea44/multiview-controlnet-nullcond with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use eduardoprea44/multiview-controlnet-nullcond with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("eduardoprea44/multiview-controlnet-nullcond") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stable-diffusion-v1-5/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from eduardoprea44/multiview-controlnet-nullcond: direct link, hf CLI and curl.
- Browser
- Download file 735 MB
-
https://huggingface.co/eduardoprea44/multiview-controlnet-nullcond/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://eduardoprea44/multiview-controlnet-nullcond/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/eduardoprea44/multiview-controlnet-nullcond/resolve/main/checkpoint-2000/optimizer.bin
735 MB
- Xet hash:
- 1924f917890ab018f02db83cf5b185ce19ba90c21beaae3d0087cc770290a2e7
- Size of remote file:
- 735 MB
- SHA256:
- efaec3883490d328adaabda7907adcac28d74859a8e9438ce4f8945de1a941c3
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