Update diffusers usage docs: model is at repo root, drop subfolder= arg

README.md

@@ -131,13 +131,13 @@ Cleaner structural lines and more coherent material rendering.
 | `Juggernaut_Z_V1_by_RunDiffusion_q5_k_s-005.gguf` | GGUF · q5_k_s | |
 | `Juggernaut_Z_V1_by_RunDiffusion_q4_k_m-002.gguf` | GGUF · q4_k_m | |
 | `Juggernaut_Z_V1_by_RunDiffusion_q4_k_s-001.gguf` | GGUF · q4_k_s | Smallest footprint |
-| `diffusers/` (subfolder) | 🤗 Diffusers format | Load with `DiffusionPipeline.from_pretrained(..., subfolder="diffusers")` |
+| `model_index.json` + `transformer/`, `text_encoder/`, `tokenizer/`, `vae/`, `scheduler/` | 🤗 Diffusers format | Loaded by `DiffusionPipeline.from_pretrained("RunDiffusion/Juggernaut-Z-Image")` |
 
-Use the `.safetensors` variants with the workflow that matches your local inference stack. Use the `.gguf` variants with a GGUF-compatible runtime. Use the `diffusers/` subfolder with the 🤗 Diffusers library — see below.
+Use the `.safetensors` variants with the workflow that matches your local inference stack. Use the `.gguf` variants with a GGUF-compatible runtime. Use the Diffusers component layout with the 🤗 Diffusers library — see below.
 
 ## Use with 🤗 Diffusers
 
-The `diffusers/` subfolder contains the model in standard 🤗 Diffusers format (`ZImagePipeline`) and can be loaded directly:
+The repo includes `model_index.json` and the standard 🤗 Diffusers component directories (`transformer/`, `text_encoder/`, `tokenizer/`, `vae/`, `scheduler/`) at the root, exported as a `ZImagePipeline`. Load it with:
 
 ```python
 from diffusers import DiffusionPipeline
@@ -145,7 +145,6 @@ import torch
 
 pipe = DiffusionPipeline.from_pretrained(
     "RunDiffusion/Juggernaut-Z-Image",
-    subfolder="diffusers",
     torch_dtype=torch.bfloat16,
 ).to("cuda")
 
@@ -157,7 +156,7 @@ image = pipe(
 image.save("output.png")
 ```
 
-Requires a version of `diffusers` that includes `ZImagePipeline` support (the format was exported against `diffusers` 0.37.1). Commercial use of the model and its outputs is restricted under CC BY-NC 4.0 — see [License & Commercial Use](#license--commercial-use) below.
+`from_pretrained` only downloads files declared in `model_index.json`, so it will not pull the standalone `.safetensors` / `.gguf` variants at the repo root. Requires a version of `diffusers` that includes `ZImagePipeline` support (verified against `diffusers` 0.37.1 and 0.38.0). Commercial use of the model and its outputs is restricted under CC BY-NC 4.0 — see [License & Commercial Use](#license--commercial-use) below.
 
 ## Links