Update README.md

README.md

@@ -2,7 +2,7 @@
 language:
 - en
 license: creativeml-openrail-m
-thumbnail: "https://huggingface.co/Guizmus/AnimeChanStyle/resolve/main/showcase_AnimeChan.jpg"
+thumbnail: "https://huggingface.co/Guizmus/SD_DreamerCommunities_Collection/resolve/main/showcase_AnimeChan.jpg"
 tags:
 - stable-diffusion
 - text-to-image
@@ -15,7 +15,7 @@ inference: false
 
 # AnimeChan Style
 <p>
-	<img alt="Showcase" src="https://huggingface.co/Guizmus/AnimeChanStyle/resolve/main/showcase_AnimeChan.jpg"/><br/>
+	<img alt="Showcase" src="https://huggingface.co/Guizmus/SD_DreamerCommunities_Collection/resolve/main/showcase_AnimeChan.jpg"/><br/>
 	This model was based on <a href="https://huggingface.co/naclbit/trinart_stable_diffusion_v2">Trinart</a> model.<br/>
 	The dataset was a collaborative effort of the Stable Diffusion #anime channel, made of pictures from the users themselves using their different techniques.<br/>
 	100 total pictures in the dataset, 300 repeats total each, over 6 Epoch on LR1e-6.<br/>
@@ -26,38 +26,18 @@ inference: false
 	To access this model, you can download the CKPT file below, or use the <a href="https://huggingface.co/Guizmus/AnimeChanStyle/tree/main">diffusers</a>
 </p>
 
-[current v2 download link](https://huggingface.co/Guizmus/AnimeChanStyle/resolve/main/AnimeChanStyle-v2.ckpt)
+[current v2 download link](https://huggingface.co/Guizmus/SD_DreamerCommunities_Collection/resolve/main/AnimeChanStyle-v2.ckpt)
 
 [dataset for the second version](https://huggingface.co/datasets/Guizmus/AnimeChanStyle)
 
 ## First version
 
-![first version showcase](https://huggingface.co/Guizmus/AnimeChanStyle/resolve/main/showcase.jpg)
+![first version showcase](https://huggingface.co/Guizmus/SD_DreamerCommunities_Collection/resolve/main/showcase.jpg)
 
-[first version download link](https://huggingface.co/Guizmus/AnimeChanStyle/resolve/main/AnimeChanStyle_v1.ckpt)
+[first version download link](https://huggingface.co/Guizmus/SD_DreamerCommunities_Collection/resolve/main/AnimeChanStyle_v1.ckpt)
 
-[dataset for the first version](https://huggingface.co/Guizmus/AnimeChanStyle/resolve/main/AnimeChan%20Style.zip)
+[dataset for the first version](https://huggingface.co/Guizmus/SD_DreamerCommunities_Collection/resolve/main/AnimeChan%20Style.zip)
 
-## 🧨 Diffusers
-
-This model can be used just like any other Stable Diffusion model. For more information,
-please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).
-
-You can also export the model to [ONNX](https://huggingface.co/docs/diffusers/optimization/onnx), [MPS](https://huggingface.co/docs/diffusers/optimization/mps) and/or [FLAX/JAX]().
-
-```python
-from diffusers import StableDiffusionPipeline
-import torch
-
-model_id = "Guizmus/AnimeChanStyle"
-pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
-pipe = pipe.to("cuda")
-
-prompt = "A beautiful slime girl, AnimeChan Style"
-image = pipe(prompt).images[0]
-
-image.save("./AnimeChanStyle.png")
-```
 
 ## License