Text-to-Image
Diffusers
TensorBoard
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
diffusers-training
lora
template:sd-lora
sd3
sd3-diffusers
Instructions to use SidXXD/New_Realism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/New_Realism with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("SidXXD/New_Realism") prompt = "photo of a <v1*> painting" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download pytorch_custom_diffusion_weights.bin from SidXXD/New_Realism: direct link, hf CLI and curl.
- Browser
- Download file 76.7 MB
-
https://huggingface.co/SidXXD/New_Realism/resolve/main/pytorch_custom_diffusion_weights.bin
- Command line
-
hf download hf://SidXXD/New_Realism/pytorch_custom_diffusion_weights.bin
-
curl -L -o pytorch_custom_diffusion_weights.bin https://huggingface.co/SidXXD/New_Realism/resolve/main/pytorch_custom_diffusion_weights.bin
76.7 MB
- Xet hash:
- 0fbb981239f09ad9b1f10dd041af5cf960e05fff3c213441aeee8dca4a02566f
- Size of remote file:
- 76.7 MB
- SHA256:
- 6c02a62d49444a462e30b0d21000a2fd17510a728d7444bb64952bc2757ec6e0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.