End of training

.gitattributes

@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+image_0.png filter=lfs diff=lfs merge=lfs -text
+image_1.png filter=lfs diff=lfs merge=lfs -text
+image_2.png filter=lfs diff=lfs merge=lfs -text
+image_3.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,95 @@
+---
+tags:
+- stable-diffusion-xl
+- stable-diffusion-xl-diffusers
+- text-to-image
+- diffusers
+- lora
+- template:sd-lora
+widget:
+
+        - text: 'None'
+          output:
+            url:
+                "image_0.png"
+        
+        - text: 'None'
+          output:
+            url:
+                "image_1.png"
+        
+        - text: 'None'
+          output:
+            url:
+                "image_2.png"
+        
+        - text: 'None'
+          output:
+            url:
+                "image_3.png"
+        
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+instance_prompt: In the style of <s0><s1>
+license: openrail++
+---
+
+# SDXL LoRA DreamBooth - nived2/frozen_mountains_final
+
+<Gallery />
+
+## Model description
+
+### These are nived2/frozen_mountains_final LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
+
+## Download model
+
+### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
+
+- **LoRA**: download **[`frozen_mountains_final.safetensors` here 💾](/nived2/frozen_mountains_final/blob/main/frozen_mountains_final.safetensors)**.
+    - Place it on your `models/Lora` folder.
+    - On AUTOMATIC1111, load the LoRA by adding `<lora:frozen_mountains_final:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/).
+- *Embeddings*: download **[`frozen_mountains_final_emb.safetensors` here 💾](/nived2/frozen_mountains_final/blob/main/frozen_mountains_final_emb.safetensors)**.
+    - Place it on it on your `embeddings` folder
+    - Use it by adding `frozen_mountains_final_emb` to your prompt. For example, `In the style of frozen_mountains_final_emb`
+    (you need both the LoRA and the embeddings as they were trained together for this LoRA)
+    
+
+## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
+
+```py
+from diffusers import AutoPipelineForText2Image
+import torch
+from huggingface_hub import hf_hub_download
+from safetensors.torch import load_file
+        
+pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
+pipeline.load_lora_weights('nived2/frozen_mountains_final', weight_name='pytorch_lora_weights.safetensors')
+embedding_path = hf_hub_download(repo_id='nived2/frozen_mountains_final', filename='frozen_mountains_final_emb.safetensors', repo_type="model")
+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('None').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)
+
+## Trigger words
+
+To trigger image generation of trained concept(or concepts) replace each concept identifier in you prompt with the new inserted tokens:
+
+to trigger concept `TST` → use `<s0><s1>` in your prompt 
+
+
+
+## Details
+All [Files & versions](/nived2/frozen_mountains_final/tree/main).
+
+The weights were trained using [🧨 diffusers Advanced Dreambooth Training Script](https://github.com/huggingface/diffusers/blob/main/examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py).
+
+LoRA for the text encoder was enabled. False.
+
+Pivotal tuning was enabled: True.
+
+Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
+

checkpoint-3150/optimizer.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:72bf5c13f808ce125c49bd623ec766b08e203dd8cee6c643cc0c9681e0593a4f
+size 1182072760

checkpoint-3150/output_dir_emb.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dcd5aca03ce895e5011b0da0ada590125782f17b42260c2a4a6076da07063ae9
+size 16536

checkpoint-3150/pytorch_lora_weights.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d6b4b73e23d69d9e97297d04c5ebeaff8906359d01720438802d12d890a6e8fd
+size 185964888

checkpoint-3150/random_states_0.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fb8b54aa90c1bc942247531bd8cab1fd58d5e9ca282b6c3c70c7b9a0c0f2c49b
+size 14280

checkpoint-3150/scheduler.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:87259695e189e462c5450d7aaace8a3e287b5a68964778748807efc86ce5ea19
+size 1064

frozen_mountains_final.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3749088921b98acc6c559320c873676732ae33d16473e117edb4088bcbd51a6c
+size 371841776

frozen_mountains_final_emb.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dcd5aca03ce895e5011b0da0ada590125782f17b42260c2a4a6076da07063ae9
+size 16536

pytorch_lora_weights.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c3140494c92cae14e9ce0ebe39eab9c64100c0b2200e40eb38c5c75c40aa55e5
+size 371758976