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.gitattributes

@@ -35,3 +35,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 LICENSE.pdf filter=lfs diff=lfs merge=lfs -text
 tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+comparison_bf16_vs_sdnq.png filter=lfs diff=lfs merge=lfs -text
+sample_benchmark.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -18,8 +18,44 @@ library_name: diffusers
 
 This is an int4 quantized version of [krea/Krea-2-Turbo](https://huggingface.co/krea/Krea-2-Turbo) using [SDNQ](https://github.com/Disty0/sdnq) (SD.Next Quantization) with the dynamic option and Hadamard Rotation.
 
-Note: You need SDNQ v0.2.0 or superior
+Note: You need SDNQ v0.2.0 or v0.2.2 and above (v0.2.1 is incompatible)
 
 ## Usage
 
-You can find ready-to-use scripts in the [diffusers-recipes](https://github.com/asomoza/diffusers-recipes/blob/main/models/krea2_turbo/README.md) repository.
+You can find ready-to-use scripts in the [diffusers-recipes](https://github.com/asomoza/diffusers-recipes/blob/main/models/krea2_turbo/README.md) repository.
+
+## Sample image
+
+![Sample generation](sample_benchmark.png)
+
+The sample above was generated with the following prompt and settings (seed `7`):
+
+```python
+import sdnq  # register the SDNQ backend before loading
+import torch
+from diffusers import DiffusionPipeline
+
+pipe = DiffusionPipeline.from_pretrained("OzzyGT/Krea_2_Turbo_sdnq_dynamic_4bit", torch_dtype=torch.bfloat16)
+pipe.to("cuda")
+
+prompt = (
+    "A cozy corner bookstore-cafe on a rainy evening, cinematic wide shot. "
+    'A large hand-lettered chalkboard sign in the window reads "FRESH COFFEE & OLD BOOKS" '
+    "and below it in smaller chalk letters \"open 'til late\". "
+    "Warm golden light spills onto wet cobblestones that mirror pink and blue neon reflections. "
+    "Inside, tall mahogany shelves are packed with hundreds of colorful book spines with tiny legible titles, "
+    "a barista in a striped apron pours delicate latte art, steam curling upward, "
+    "a tabby cat sleeps on a windowsill beside a stack of paperbacks. "
+    "Intricate detail, sharp focus, shallow depth of field, photorealistic, rich color grading."
+)
+
+image = pipe(
+    prompt,
+    num_inference_steps=8,
+    guidance_scale=0.0,
+    height=1024,
+    width=1024,
+    generator=torch.Generator("cuda").manual_seed(7),
+).images[0]
+image.save("sample.png")
+```