Text-to-Image
Diffusers
ONNX
Safetensors
English
StableDiffusionXLPipeline
common-canvas
stable-diffusion
sdxl
Inference Endpoints
multimodalart HF staff commited on
Commit
5694b26
1 Parent(s): 51864e3

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +22 -1
README.md CHANGED
@@ -50,7 +50,28 @@ Note: The non-commercial variants of this model are explicitly not intended to b
50
  * Research on generative models.
51
 
52
  ## Usage
53
- We recommend using the MosaicML Diffusion Repo to finetune / train the model: https://github.com/mosaicml/diffusion . Example finetuning code coming soon. See the Gradio Demo [Here](https://github.com/mosaicml/diffusion/blob/main/scripts/gradio_demo.py)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
54
 
55
  ## Evaluation/Validation
56
  We validated the model against Stability AI’s SD2 model and compared human user study
 
50
  * Research on generative models.
51
 
52
  ## Usage
53
+ We recommend using the MosaicML Diffusion Repo to finetune / train the model: https://github.com/mosaicml/diffusion.
54
+ Example finetuning code coming soon.
55
+
56
+ ### Spaces demo
57
+ Try the model demo on [Hugging Face Spaces](https://huggingface.co/spaces/common-canvas/CommonCanvas)
58
+
59
+ ### Inference with 🧨 diffusers
60
+
61
+ ```py
62
+ from diffusers import StableDiffusionXLPipeline
63
+ pipe = StableDiffusionXLPipeline.from_pretrained(
64
+ "common-canvas/CommonCanvas-XLC",
65
+ custom_pipeline="multimodalart/sdxl_perturbed_attention_guidance", #read more at https://huggingface.co/multimodalart/sdxl_perturbed_attention_guidance
66
+ torch_dtype=torch.float16
67
+ ).to(device)
68
+
69
+ prompt = "a cat sitting in a car seat"
70
+ image = pipe(prompt, num_inference_steps=25).images[0]
71
+ ```
72
+ ### Inference with ComfyUI / AUTOMATIC1111
73
+
74
+ [Download safetensors ⬇️](https://huggingface.co/common-canvas/CommonCanvas-XLC/resolve/main/commoncanvas_xl_c.safetensors?download=true)
75
 
76
  ## Evaluation/Validation
77
  We validated the model against Stability AI’s SD2 model and compared human user study