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: 'spiral wave flower by <s0><s1>,minimalism,white_background,abstract,photoshop generated abstract object mesh colorful with white background'
+          output:
+            url:
+                "image_0.png"
+        
+        - text: 'spiral wave flower by <s0><s1>,minimalism,white_background,abstract,photoshop generated abstract object mesh colorful with white background'
+          output:
+            url:
+                "image_1.png"
+        
+        - text: 'spiral wave flower by <s0><s1>,minimalism,white_background,abstract,photoshop generated abstract object mesh colorful with white background'
+          output:
+            url:
+                "image_2.png"
+        
+        - text: 'spiral wave flower by <s0><s1>,minimalism,white_background,abstract,photoshop generated abstract object mesh colorful with white background'
+          output:
+            url:
+                "image_3.png"
+        
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+instance_prompt: something by <s0><s1>,minimalism,white_background,abstract,photoshop generated abstract object mesh colorful with white background
+license: openrail++
+---
+
+# SDXL LoRA DreamBooth - backnotprop/np_cr_model
+
+<Gallery />
+
+## Model description
+
+### These are backnotprop/np_cr_model 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 **[`np_cr_model.safetensors` here 💾](/backnotprop/np_cr_model/blob/main/np_cr_model.safetensors)**.
+    - Place it on your `models/Lora` folder.
+    - On AUTOMATIC1111, load the LoRA by adding `<lora:np_cr_model:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/).
+- *Embeddings*: download **[`np_cr_model_emb.safetensors` here 💾](/backnotprop/np_cr_model/blob/main/np_cr_model_emb.safetensors)**.
+    - Place it on it on your `embeddings` folder
+    - Use it by adding `np_cr_model_emb` to your prompt. For example, `something by np_cr_model_emb,minimalism,white_background,abstract,photoshop generated abstract object mesh colorful with white background`
+    (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('backnotprop/np_cr_model', weight_name='pytorch_lora_weights.safetensors')
+embedding_path = hf_hub_download(repo_id='backnotprop/np_cr_model', filename='np_cr_model_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('spiral wave flower by <s0><s1>,minimalism,white_background,abstract,photoshop generated abstract object mesh colorful with white background').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 `TOK` → use `<s0><s1>` in your prompt 
+
+
+
+## Details
+All [Files & versions](/backnotprop/np_cr_model/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-2000/np_cr_model_emb.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4a706839b53b7fe8f175fadd6c652224bc46560bf8a20de446e54eb0fa81fbe7
+size 16536

checkpoint-2000/optimizer.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9cbb056ad9365df705f43a215b515f445a5244303333e6234586fc44a5eb59d0
+size 4593115694

checkpoint-2000/pytorch_lora_weights.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:34769df3de127f677c9370342b4bc4ce6bf6e10013d67be1174d44b48bf427e6
+size 743350672

checkpoint-2000/random_states_0.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9837a745608a7c5a2ee9d1dbc263145fa96749dc4f7e1e7015ae6a71eb380eb5
+size 14280

checkpoint-2000/scheduler.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:22dbf40978352fc68dc380c1bb84d309ac1fe1989fe5819be6b1e3309ded4c83
+size 1064

checkpoint-4000/np_cr_model_emb.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9d157bca912002485a82408158b154445899d1d7a33487cac4c517fca360b1bd
+size 16536

checkpoint-4000/optimizer.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:12728700fa0ebe51177013a5261704a83ab7a7d956b0cd1b4488513a7bd3a808
+size 4593115694

checkpoint-4000/pytorch_lora_weights.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8f5f80462975afd3e7af5e9ecdf7a69f9dd83138edb7872547ffe32280a1310f
+size 743350672

checkpoint-4000/random_states_0.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:57d08e4b8a98644bd2a8c7bae694924008aca20751b0a9e7e139e6b29adf57b3
+size 14280

checkpoint-4000/scheduler.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8ecffa90bc24d1a21c7daf8ad27bba41b27204d411256766b9450f059e7c1c24
+size 1064

np_cr_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1ef1a14526961a2c81f6edd32866ac1eda53e12ae73dbd73e16625d650d7f45c
+size 1486611528

np_cr_model_emb.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4189e22491e71d5476cc595f711b65dd8e42c89623848ccd177d8ec30f9de889
+size 16536

pytorch_lora_weights.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dee1fe52713996d2580301c623ebb73a3f2d32c9bd540f4b6fad8be377c1d29a
+size 1486528728