Safetensors
katuni4ka commited on
Commit
77ec9d1
·
verified ·
1 Parent(s): 5fdbaed

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +7 -4
README.md CHANGED
@@ -1,5 +1,8 @@
1
  ---
2
  license: creativeml-openrail-m
 
 
 
3
  ---
4
 
5
  # stable-diffusion-v1-5-int8-ov
@@ -26,8 +29,8 @@ For more information on quantization, check the [OpenVINO model optimization gui
26
 
27
  The provided OpenVINO™ IR model is compatible with:
28
 
29
- * OpenVINO version 2024.6.0 and higher
30
- * Optimum Intel 1.21.0 and higher
31
 
32
  ## Running Model Inference with [Optimum Intel](https://huggingface.co/docs/optimum/intel/index)
33
 
@@ -46,7 +49,7 @@ model_id = "OpenVINO/stable-diffusion-v1-5-int8-ov"
46
  pipeline = OVDiffusionPipeline.from_pretrained(model_id)
47
 
48
  prompt = "sailing ship in storm by Rembrandt"
49
- images = pipeline(prompt, num_inference_steps=4).images
50
  ```
51
 
52
  ## Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)
@@ -79,7 +82,7 @@ device = "CPU"
79
  pipe = ov_genai.Text2ImagePipeline(model_path, device)
80
 
81
  prompt = "sailing ship in storm by Rembrandt"
82
- image_tensor = pipe.generate(prompt, num_inference_steps=4)
83
  image = Image.fromarray(image_tensor.data[0])
84
 
85
  ```
 
1
  ---
2
  license: creativeml-openrail-m
3
+ base_model:
4
+ - stable-diffusion-v1-5/stable-diffusion-v1-5
5
+ base_model_relation: quantized
6
  ---
7
 
8
  # stable-diffusion-v1-5-int8-ov
 
29
 
30
  The provided OpenVINO™ IR model is compatible with:
31
 
32
+ * OpenVINO version 2025.0.0 and higher
33
+ * Optimum Intel 1.22.0 and higher
34
 
35
  ## Running Model Inference with [Optimum Intel](https://huggingface.co/docs/optimum/intel/index)
36
 
 
49
  pipeline = OVDiffusionPipeline.from_pretrained(model_id)
50
 
51
  prompt = "sailing ship in storm by Rembrandt"
52
+ images = pipeline(prompt, num_inference_steps=20).images
53
  ```
54
 
55
  ## Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)
 
82
  pipe = ov_genai.Text2ImagePipeline(model_path, device)
83
 
84
  prompt = "sailing ship in storm by Rembrandt"
85
+ image_tensor = pipe.generate(prompt, num_inference_steps=20)
86
  image = Image.fromarray(image_tensor.data[0])
87
 
88
  ```