End of training

README.md

@@ -8,22 +8,30 @@ tags:
 - lora
 - template:sd-lora
 widget:
-- text: photo of a <s0><s1> knight riding a horse
-  output:
-    url: images/example_ihuywhsq8.png
-- text: photo of a <s0><s1> knight riding a horse
-  output:
-    url: images/example_o1fd4aaie.png
-- text: photo of a <s0><s1> knight riding a horse
-  output:
-    url: images/example_b1n3m3aqo.png
-- text: photo of a <s0><s1> knight riding a horse
-  output:
-    url: images/example_x2vfydv3b.png
+
+        - text: 'photo of a <s0><s1> knight riding a horse'
+          output:
+            url:
+                "image_0.png"
+        
+        - text: 'photo of a <s0><s1> knight riding a horse'
+          output:
+            url:
+                "image_1.png"
+        
+        - text: 'photo of a <s0><s1> knight riding a horse'
+          output:
+            url:
+                "image_2.png"
+        
+        - text: 'photo of a <s0><s1> knight riding a horse'
+          output:
+            url:
+                "image_3.png"
+        
 base_model: stabilityai/stable-diffusion-xl-base-1.0
-instance_prompt: photo of a <s0><s1>
+instance_prompt: photo of a <s0><s1> knight riding a horse
 license: openrail++
-
 ---
 
 # SDXL LoRA DreamBooth - thliang01/medieval-knight-sdxl-lora-r8-v0-1
@@ -43,7 +51,7 @@ license: openrail++
     - On AUTOMATIC1111, load the LoRA by adding `<lora:medieval-knight-sdxl-lora-r8-v0-1:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/).
 - *Embeddings*: download **[`medieval-knight-sdxl-lora-r8-v0-1_emb.safetensors` here 💾](/thliang01/medieval-knight-sdxl-lora-r8-v0-1/blob/main/medieval-knight-sdxl-lora-r8-v0-1_emb.safetensors)**.
     - Place it on it on your `embeddings` folder
-    - Use it by adding `medieval-knight-sdxl-lora-r8-v0-1_emb` to your prompt. For example, `photo of a medieval-knight-sdxl-lora-r8-v0-1_emb`
+    - Use it by adding `medieval-knight-sdxl-lora-r8-v0-1_emb` to your prompt. For example, `photo of a medieval-knight-sdxl-lora-r8-v0-1_emb knight riding a horse`
     (you need both the LoRA and the embeddings as they were trained together for this LoRA)
     
 
@@ -62,7 +70,7 @@ state_dict = load_file(embedding_path)
 pipeline.load_textual_inversion(state_dict["clip_l"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder, tokenizer=pipeline.tokenizer)
 pipeline.load_textual_inversion(state_dict["clip_g"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder_2, tokenizer=pipeline.tokenizer_2)
         
-image = pipeline('photo of a <s0><s1> riding a horse').images[0]
+image = pipeline('photo of a <s0><s1> knight riding a horse').images[0]
 ```
 
 For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)

medieval-knight-sdxl-lora-r8-v0-1.safetensors

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medieval-knight-sdxl-lora-r8-v0-1_emb.safetensors

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 size 16536

pytorch_lora_weights.safetensors

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