Add everything else from SDXL base.

model_index scheduler changed to default to LCMScheduler

.gitattributes

@@ -33,3 +33,4 @@ 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
+*.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,6 +1,30 @@
 ---
-license: openrail
+license: openrail++
+tags:
+- text-to-image
+- stable-diffusion
 ---
 
-This is a copy of the sdxl base (stabilityai/stable-diffusion-xl-base-1.0)  with the unet replaced
-with the LCM distilled unet (latent-consistency/lcm-sdxl) .
+This is a copy of the sdxl base (stabilityai/stable-diffusion-xl-base-1.0) with the unet replaced
+with the LCM distilled unet (latent-consistency/lcm-sdxl) and scheduler config set to default to the LCM Scheduler.
+
+This makes LCM SDXL run as a standard Diffusion Pipeline
+
+```py
+from diffusers import DiffusionPipeline
+import torch
+
+pipe = DiffusionPipeline.from_pretrained(
+    "Vargol/lcm_sdxl_full_model", variant='fp16', torch_dtype=torch.float16
+).to("mps")
+
+prompt = "Self-portrait oil painting, a beautiful cyborg with golden hair, 8k"
+generator = torch.manual_seed(0)
+
+image = pipe(
+    prompt=prompt, num_inference_steps=4, generator=generator, guidance_scale=8.0
+).images[0]
+
+image.save('distilled.png')
+
+```