Update README.md

README.md

@@ -4,54 +4,85 @@ tags:
 - common-canvas
 - stable-diffusion
 - sdxl
+- nsfw
+- en
+- 7GB
+- commercial
+- commoncanvas
+- stabilityai
+- mosaicml
+- multimodalart
+- wauplin
+- lhoestq
+- western-bias
+- legibility
+- complexity
+- faces
+- language
+- vae
+- research
+- deployment
+- examination
+- art
+- education
+- creative
+- https://arxiv.org/abs/2310.16825
+- flickr100m
+- fp16
+- pag
 datasets:
 - common-canvas/commoncatalog-cc-by-sa
 - common-canvas/commoncatalog-cc-by
+- common-canvas/commoncatalog-cc-by-nc-sa
+- common-canvas/commoncatalog-cc-by-nc
 language:
 - en
+size:
+- 7.28
 ---
-# CommonCanvas-XL-C 0.1 Mirror - trim
-
-## Specifications
-**Total Size:** 7.28GB
-**Model Size:** 6.94GB  
-**Input:** CommonCatalog Text Captions  
-**Output:** CommonCatalog Images  
-**Architecture:** Stable Diffusion XL  
-**Credit:** CommonCanvas, StabilityAI, mosaicML, @multimodalart, @Wauplin, @lhoestq  
-**NSFW:** Yes  
-**Text:** https://arxiv.org/abs/2310.16825  
-**LICENSE:**
-This work is licensed under <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/?ref=chooser-v1" target="_blank" rel="license noopener noreferrer" style="display:inline-block;">CC BY-SA 4.0<img style="height:33px!important;margin-left:3px;" src="https://mirrors.creativecommons.org/presskit/buttons/88x31/png/by-sa.png" label="creative commons license logo" alt="creative commons license cc-by-sa">
-## Details
-* training data :  Flickr100M dataset
-* bias : internet connected Western countries
-* limitations : text generation, complex composition, faces, non-English languages, VAE
-* use : research, deployment, examination, art, education, creative use
-* prohibited : commercial use
-* suggested training : mosaicML  https://github.com/mosaicml/diffusion.
 
-* 
-* ## Citation
 ```
-@article{gokaslan2023commoncanvas,
-  title={CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images},
-  author={Gokaslan, Aaron and Cooper, A Feder and Collins, Jasmine and Seguin, Landan and Jacobson, Austin and Patel, Mihir and Frankle, Jonathan and Stephenson, Cory and Kuleshov, Volodymyr},
-  journal={arXiv preprint arXiv:2310.16825},
-  year={2023}
-}
+license: cc-by-sa-4.0
+tags:
+- common-canvas
+- stable-diffusion
+- sdxl
+- nsfw
+- en
+- 7GB
+- commercial
+- commoncanvas
+- stabilityai
+- mosaicml
+- multimodalart
+- wauplin
+- lhoestq
+- western-bias
+- legibility
+- complexity
+- faces
+- language
+- vae
+- research
+- deployment
+- examination
+- art
+- education
+- creative
+- https://arxiv.org/abs/2310.16825
+- flickr100m
+- fp16
+- pag
+datasets:
+- common-canvas/commoncatalog-cc-by-sa
+- common-canvas/commoncatalog-cc-by
+- common-canvas/commoncatalog-cc-by-nc-sa
+- common-canvas/commoncatalog-cc-by-nc
+language:
+- en
+size:
+- 7.28
 ```
+<img style="height:33px!important;margin-left:3px;" src="https://mirrors.creativecommons.org/presskit/buttons/88x31/png/by-sa.png" label="creative commons license logo" alt="creative commons license cc-by-sa">
 
-### Code
-
-```py
-from diffusers import StableDiffusionXLPipeline
-pipe = StableDiffusionXLPipeline.from_pretrained(
-    "common-canvas/CommonCanvas-XL-C", 
-    custom_pipeline="multimodalart/sdxl_perturbed_attention_guidance", #read more at https://huggingface.co/multimodalart/sdxl_perturbed_attention_guidance
-    torch_dtype=torch.float16
-).to(device)
 
-prompt = "a cat sitting in a car seat"
-image = pipe(prompt, num_inference_steps=25).images[0]    
-```