Image-to-Image
Diffusers
Safetensors
StableDiffusionControlNetCCSRPipeline
image-super-resolution
controlnet
stable-diffusion
ccsr
Instructions to use kharma1/ccsr_v2_repost with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kharma1/ccsr_v2_repost with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("kharma1/ccsr_v2_repost") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base,isometricneko/stable-diffusion-v2.1-clone", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
File size: 341 Bytes
df16905 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"crop_size": 224,
"do_center_crop": true,
"do_convert_rgb": true,
"do_normalize": true,
"do_resize": true,
"feature_extractor_type": "CLIPFeatureExtractor",
"image_mean": [
0.48145466,
0.4578275,
0.40821073
],
"image_std": [
0.26862954,
0.26130258,
0.27577711
],
"resample": 3,
"size": 224
} |