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: 613 Bytes
e84ea04 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | {
"_name_or_path": "stabilityai/stable-diffusion-2",
"architectures": [
"CLIPTextModel"
],
"attention_dropout": 0.0,
"bos_token_id": 0,
"dropout": 0.0,
"eos_token_id": 2,
"hidden_act": "gelu",
"hidden_size": 1024,
"initializer_factor": 1.0,
"initializer_range": 0.02,
"intermediate_size": 4096,
"layer_norm_eps": 1e-05,
"max_position_embeddings": 77,
"model_type": "clip_text_model",
"num_attention_heads": 16,
"num_hidden_layers": 23,
"pad_token_id": 1,
"projection_dim": 512,
"torch_dtype": "float32",
"transformers_version": "4.25.0.dev0",
"vocab_size": 49408
}
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