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 +1,25 @@
+
+---
+license: creativeml-openrail-m
+base_model: stabilityai/stable-diffusion-xl-base-0.9
+instance_prompt: a photo of sks dog
+tags:
+- stable-diffusion-xl
+- stable-diffusion-xl-diffusers
+- text-to-image
+- diffusers
+- lora
+inference: true
+---
+    
+# LoRA DreamBooth - nikad/lora-trained-xl
+
+These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-0.9. The weights were trained on a photo of sks dog using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following. 
+
+![img_0](./image_0.png)
+![img_1](./image_1.png)
+![img_2](./image_2.png)
+![img_3](./image_3.png)
+
+
+LoRA for the text encoder was enabled: False.

checkpoint-500/optimizer.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1a0815cc0a43a19d932ad20f259e83a5c04884e5d03ecd434528313f01fe7df8
+size 47392445

checkpoint-500/pytorch_lora_weights.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:31bc0ee66a9b3e8c7c5c4c9db3d0d001222ea8d607cecd1fa073ae59dd690321
+size 23664755

checkpoint-500/random_states_0.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9af32e2f52b0b7904650c23d3f3945dadf834d825854e188e76c0a47de4b2dbc
+size 14599

checkpoint-500/scaler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a3f196a54202bb4ba1220e8c59f42f9cda0702d68ea83147d814c2fb2f36b8f2
+size 557

checkpoint-500/scheduler.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:62783ff6f0ae2c2ccc177b097e430c03940c5e70c38a191df273c5cf7ab1227c
+size 563

inference.py

@@ -0,0 +1,13 @@
+from huggingface_hub.repocard import RepoCard
+from diffusers import DiffusionPipeline
+import torch
+
+lora_model_id = <"lora-sdxl-dreambooth-id">
+card = RepoCard.load(lora_model_id)
+base_model_id = card.data.to_dict()["base_model"]
+
+pipe = DiffusionPipeline.from_pretrained(base_model_id, torch_dtype=torch.float16)
+pipe = pipe.to("cuda")
+pipe.load_lora_weights(lora_model_id)
+image = pipe("A picture of a sks dog in a bucket", num_inference_steps=25).images[0]
+image.save("sks_dog.png")

pytorch_lora_weights.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:31bc0ee66a9b3e8c7c5c4c9db3d0d001222ea8d607cecd1fa073ae59dd690321
+size 23664755