I am going to add various emotion sliders here so they will all be in one place. In general, the weights will be -5 to 5, but each one may be more or less. Check versions at the top. Each one will be labeled with the emotion it affects.
Download model
Weights for this model are available in Safetensors format.
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('ostris/emotion-sliders', weight_name='emotion_happy_slider_v1.safetensors')
image = pipeline('close up photo of a woman with dirty blonde hair, soft box photography in a dark room, straight hair, centered in frame').images[0]
emotion-sliders huggingface.co is an AI model on huggingface.co that provides emotion-sliders's model effect (), which can be used instantly with this ostris emotion-sliders model. huggingface.co supports a free trial of the emotion-sliders model, and also provides paid use of the emotion-sliders. Support call emotion-sliders model through api, including Node.js, Python, http.
emotion-sliders huggingface.co is an online trial and call api platform, which integrates emotion-sliders's modeling effects, including api services, and provides a free online trial of emotion-sliders, you can try emotion-sliders online for free by clicking the link below.
ostris emotion-sliders online free url in huggingface.co:
emotion-sliders is an open source model from GitHub that offers a free installation service, and any user can find emotion-sliders on GitHub to install. At the same time, huggingface.co provides the effect of emotion-sliders install, users can directly use emotion-sliders installed effect in huggingface.co for debugging and trial. It also supports api for free installation.