add diffusers weights

README.md

@@ -91,6 +91,36 @@ Which should give you an image like below:
 
 ![A duck riding a tidal wave](sample_result.png)
 
+### Using Controlnets in Diffusers
+
+Make sure you upgrade to the latest version of diffusers: `pip install -U diffusers`. And then you can run:
+
+```python
+import torch
+from diffusers import StableDiffusion3ControlNetPipeline,SD3ControlNetModel
+from diffusers.utils import load_image
+
+controlnet = SD3ControlNetModel.from_pretrained("stabilityai/stable-diffusion-3.5-large-controlnet-blur", torch_dtype=torch.float16)
+pipe = StableDiffusion3ControlNetPipeline.from_pretrained(
+    "stabilityai/stable-diffusion-3.5-large",
+    controlnet=controlnet,
+    torch_dtype=torch.float16
+).to("cuda")
+
+control_image = load_image("https://huggingface.co/datasets/diffusers/diffusers-images-docs/resolve/main/blur.png")
+prompt = "generated ai art, a tiny, lost rubber ducky in an action shot close-up, surfing the humongous waves, inside the tube, in the style of Kelly Slater"
+
+generator = torch.Generator(device="cpu").manual_seed(0)
+image = pipe(
+    prompt, 
+    control_image=control_image, 
+    guidance_scale=3.5,
+    num_inference_steps=60,
+    generator=generator,
+    max_sequence_length=77,
+).images[0]
+image.save('blur-8b.jpg')
+```
 
 ### Preprocessing
 

config.json

@@ -0,0 +1,21 @@
+{
+  "_class_name": "SD3ControlNetModel",
+  "_diffusers_version": "0.32.0.dev0",
+  "attention_head_dim": 64,
+  "caption_projection_dim": 2048,
+  "dual_attention_layers": [],
+  "extra_conditioning_channels": 0,
+  "force_zeros_for_pooled_projection": false,
+  "in_channels": 16,
+  "joint_attention_dim": null,
+  "num_attention_heads": 38,
+  "num_layers": 19,
+  "out_channels": 16,
+  "patch_size": 2,
+  "pooled_projection_dim": 2048,
+  "pos_embed_max_size": null,
+  "pos_embed_type": null,
+  "qk_norm": null,
+  "sample_size": 128,
+  "use_pos_embed": false
+}

diffusion_pytorch_model.safetensors

@@ -0,0 +1,3 @@
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+size 8614110992