Update all files for BitDance-14B-16x-diffusers

README.md

@@ -23,11 +23,11 @@ Diffusers-converted checkpoint for BitDance-14B-16x with bundled custom pipeline
 import torch
 from diffusers import DiffusionPipeline
 
-repo_id = "BiliSakura/BitDance-14B-16x-diffusers"
-
+# Local path (recommended - no trust_remote_code needed)
+model_path = "path/to/BitDance-14B-16x-diffusers"
 pipe = DiffusionPipeline.from_pretrained(
-    repo_id,
-    trust_remote_code=True,
+    model_path,
+    custom_pipeline=model_path,
     torch_dtype=torch.bfloat16,
 ).to("cuda")
 
@@ -41,6 +41,32 @@ result = pipe(
 result.images[0].save("bitdance_14b_16x.png")
 ```
 
+## Test Running
+
+Run tests from the model directory in your active Python environment:
+
+```bash
+python test_bitdance.py
+```
+
+## VRAM Usage by Resolution
+
+Measured on `NVIDIA A100-SXM4-80GB` using:
+
+- `dtype=torch.bfloat16`
+- `num_inference_steps=30`
+- `guidance_scale=7.5`
+- prompt: `A cinematic landscape photo of snowy mountains at sunrise.`
+
+| Resolution | Peak Allocated VRAM (GiB) | Peak Reserved VRAM (GiB) | Time (s) | Status |
+| --- | ---: | ---: | ---: | --- |
+| 512x512 | 32.67 | 33.47 | 13.71 | ok |
+| 1024x1024 | 35.51 | 38.76 | 54.47 | ok |
+| 1280x768 | 35.28 | 38.34 | 50.97 | ok |
+| 768x1280 | 35.28 | 38.34 | 51.22 | ok |
+| 1536x640 | 35.28 | 38.34 | 51.29 | ok |
+| 2048x512 | 35.51 | 38.76 | 54.61 | ok |
+
 ## Model Metadata
 
 - Pipeline class: `BitDanceDiffusionPipeline`