xueyao
commited on
Commit
·
5ff0f12
1
Parent(s):
682c673
Initial commit
Browse files- .gitattributes +2 -0
- README.md +78 -0
- bokeh_cn_workflow.json +869 -0
- comfy.png +3 -0
- config.json +33 -0
- diffusion_pytorch_model.safetensors +3 -0
- images/001.png +3 -0
- images/001_depth.png +3 -0
- images/002.png +3 -0
- images/002_depth.png +3 -0
- images/003.png +3 -0
- images/003_depth.png +3 -0
- images/004.png +3 -0
- images/004_depth.png +3 -0
- show.jpg +3 -0
.gitattributes
CHANGED
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@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.png filter=lfs diff=lfs merge=lfs -text
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*.jpg filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
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@@ -0,0 +1,78 @@
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+
---
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+
license: other
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license_name: stabilityai-ai-community
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license_link: LICENSE.md
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language:
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- en
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base_model:
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- stabilityai/stable-diffusion-3.5-medium
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pipeline_tag: text-to-image
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---
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<div align="center">
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**Bokeh_Depth_Control**
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<img src="show.jpg"/>
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</div>
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## Description
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- Input Image: Depth information map generated by depth estimation model
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- Output Image: Base model integrates depth information for control, generating more realistic depth-of-field effects and spatial structure control.
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The depth map enables the model to better understand spatial relationships within images, achieving more precise depth-of-field control and three-dimensional effect generation.
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## Example
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| input | output | Prompt |
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|---|---|---|
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|  |  | a old man |
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|  |  | A lone astronaut in a white suit and helmet, with a backpack, strolls on a rocky, red landscape under a star galaxy |
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|  |  | a eagle , black background |
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|  |  | A crystal heart sits on a gnarly, moss-covered log, with a galaxy background. |
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## Use
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We recommend using ComfyUI for local inference
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# With Bokeh
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```python
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import torch
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from diffusers import StableDiffusion3ControlNetPipeline
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from diffusers import SD3ControlNetModel
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from diffusers.utils import load_image
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controlnet = SD3ControlNetModel.from_pretrained("tensorart/Bokeh_Depth_Control")
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pipe = StableDiffusion3ControlNetPipeline.from_pretrained(
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"tensorart/bokeh_3.5_medium",
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controlnet=controlnet
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)
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pipe.to("cuda", torch.float16)
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control_image = load_image("https://huggingface.co/tensorart/Bokeh_Depth_Control/resolve/main/images/001_depth.png")
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prompt = "A old man talking"
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negative_prompt ="anime,render,cartoon,3d"
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negative_prompt_3=""
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image = pipe(
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prompt,
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num_inference_steps=30,
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negative_prompt=negative_prompt,
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control_image=control_image,
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height=1440,
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width=1440,
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guidance_scale=4,
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controlnet_conditioning_scale=0.8
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).images[0]
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image.save('image.jpg')
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```
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## Contact
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* Website: https://tensor.art https://tusiart.com
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* Developed by: TensorArt
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* Api: https://tams.tensor.art/
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bokeh_cn_workflow.json
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comfy.png
ADDED
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Git LFS Details
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config.json
ADDED
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@@ -0,0 +1,33 @@
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|
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{
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"_class_name": "SD3ControlNetModel",
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"_diffusers_version": "0.32.0.dev0",
|
| 4 |
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"_name_or_path": "tensorart/bokeh_3.5_medium",
|
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|
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|
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|
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"joint_attention_dim": 4096,
|
| 25 |
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|
| 26 |
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"num_layers": 23,
|
| 27 |
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"out_channels": 16,
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| 28 |
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"patch_size": 2,
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"pooled_projection_dim": 2048,
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"pos_embed_max_size": 384,
|
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"qk_norm": "rms_norm",
|
| 32 |
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"sample_size": 128
|
| 33 |
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}
|
diffusion_pytorch_model.safetensors
ADDED
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@@ -0,0 +1,3 @@
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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size 4930003400
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images/001.png
ADDED
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Git LFS Details
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images/001_depth.png
ADDED
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Git LFS Details
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images/002.png
ADDED
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Git LFS Details
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images/002_depth.png
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Git LFS Details
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images/003.png
ADDED
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Git LFS Details
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images/003_depth.png
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Git LFS Details
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images/004.png
ADDED
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Git LFS Details
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images/004_depth.png
ADDED
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Git LFS Details
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show.jpg
ADDED
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Git LFS Details
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