controlnet-union-sdxl-1.0

README.md

@@ -9,7 +9,6 @@ pipeline_tag: text-to-image
 ---
 
 # **ControlNet++: All-in-one ControlNet for image generations and editing!**
-## **ProMax Model has released!! 12 control + 5 advanced editing, just try it!!!**
 ![images_display](./images/masonry.webp)
 
 ## Network Arichitecture
@@ -37,55 +36,6 @@ Inference scripts and more details can found: https://github.com/xinsir6/Control
 
 **If you find it useful, please give me a star, thank you very much**
 
-**SDXL ProMax version has been released!!!，Enjoy it!!!**  
-
-**I am sorry that because of the project's revenue and expenditure are difficult to balance, the GPU resources are assigned to other projects that are more likely to be profitable, the SD3 trainging is stopped until I find enough GPU supprt, I will try my best to find GPUs to continue training. If this brings you inconvenience, I sincerely apologize for that. I want to thank everyone who likes this project, your support is what keeps me going**
-
-Note: we put the promax model with a promax suffix in the same [huggingface model repo](https://huggingface.co/xinsir/controlnet-union-sdxl-1.0), detailed instructions will be added later. 
-## Advanced editing features in Promax Model
-### Tile Deblur
-![blur0](./images/100000_tile_blur_concat.webp)
-![blur1](./images/100001_tile_blur_concat.webp)
-![blur2](./images/100002_tile_blur_concat.webp)
-![blur3](./images/100003_tile_blur_concat.webp)
-![blur4](./images/100004_tile_blur_concat.webp)
-![blur5](./images/100005_tile_blur_concat.webp)
-### Tile variation
-![var0](./images/100006_tile_var_concat.webp)
-![var1](./images/100007_tile_var_concat.webp)
-![var2](./images/100008_tile_var_concat.webp)
-![var3](./images/100009_tile_var_concat.webp)
-![var4](./images/100010_tile_var_concat.webp)
-![var5](./images/100011_tile_var_concat.webp)
-
-### Tile Super Resolution
-Following example show from 1M resolution --> 9M resolution
-<div style="display: flex; justify-content: space-between;">
-  <img src="./images/tile_super1.webp" alt="Image 1" style="width: 49%; margin: 1%;">
-  <img src="./images/tile_super1_9upscale.webp" alt="Image 2" style="width: 49%; margin: 1%;">
-</div>
-
-<div style="display: flex; justify-content: space-between;">
-  <img src="./images/tile_super2.webp" alt="Image 1" style="width: 49%; margin: 1%;">
-  <img src="./images/tile_super2_9upscale.webp" alt="Image 2" style="width: 49%; margin: 1%;">
-</div>
-
-### Image Inpainting
-![inp0](./images/100018_inpainting_concat.webp)
-![inp1](./images/100019_inpainting_concat.webp)
-![inp2](./images/100020_inpainting_concat.webp)
-![inp3](./images/100021_inpainting_concat.webp)
-![inp4](./images/100022_inpainting_concat.webp)
-![inp5](./images/100023_inpainting_concat.webp)
-
-### Image Outpainting
-![oup0](./images/100012_outpainting_concat.webp)
-![oup1](./images/100013_outpainting_concat.webp)
-![oup2](./images/100014_outpainting_concat.webp)
-![oup3](./images/100015_outpainting_concat.webp)
-![oup4](./images/100016_outpainting_concat.webp)
-![oup5](./images/100017_outpainting_concat.webp)
-
 
 ## Visual Examples
 ### Openpose

config_promax.json

@@ -1,57 +0,0 @@
-{
-  "_class_name": "ControlNetModel",
-  "_diffusers_version": "0.20.0.dev0",
-  "act_fn": "silu",
-  "addition_embed_type": "text_time",
-  "addition_embed_type_num_heads": 64,
-  "addition_time_embed_dim": 256,
-  "attention_head_dim": [
-    5,
-    10,
-    20
-  ],
-  "block_out_channels": [
-    320,
-    640,
-    1280
-  ],
-  "class_embed_type": null,
-  "conditioning_channels": 3,
-  "conditioning_embedding_out_channels": [
-    16,
-    32,
-    96,
-    256
-  ],
-  "controlnet_conditioning_channel_order": "rgb",
-  "cross_attention_dim": 2048,
-  "down_block_types": [
-    "DownBlock2D",
-    "CrossAttnDownBlock2D",
-    "CrossAttnDownBlock2D"
-  ],
-  "downsample_padding": 1,
-  "encoder_hid_dim": null,
-  "encoder_hid_dim_type": null,
-  "flip_sin_to_cos": true,
-  "freq_shift": 0,
-  "global_pool_conditions": false,
-  "in_channels": 4,
-  "layers_per_block": 2,
-  "mid_block_scale_factor": 1,
-  "norm_eps": 1e-05,
-  "norm_num_groups": 32,
-  "num_attention_heads": null,
-  "num_class_embeds": null,
-  "only_cross_attention": false,
-  "projection_class_embeddings_input_dim": 2816,
-  "resnet_time_scale_shift": "default",
-  "transformer_layers_per_block": [
-    1,
-    2,
-    10
-  ],
-  "upcast_attention": null,
-  "use_linear_projection": true,
-  "num_control_type": 8
-}

diffusion_pytorch_model_promax.safetensors

@@ -1,3 +0,0 @@
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