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MAK007
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sdxl_seg_controlnet

Text-to-Image
Diffusers
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
controlnet
diffusers-training
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End of training

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  1. .gitattributes +4 -0
  2. README.md +49 -0
  3. checkpoint-10000/controlnet/config.json +57 -0
  4. checkpoint-10000/controlnet/diffusion_pytorch_model.safetensors +3 -0
  5. checkpoint-10000/optimizer.bin +3 -0
  6. checkpoint-10000/random_states_0.pkl +3 -0
  7. checkpoint-10000/scaler.pt +3 -0
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  9. checkpoint-15000/controlnet/config.json +57 -0
  10. checkpoint-15000/controlnet/diffusion_pytorch_model.safetensors +3 -0
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  33. checkpoint-35000/controlnet/config.json +57 -0
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.gitattributes CHANGED
@@ -33,3 +33,7 @@ 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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+ images_1.png filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ base_model: SG161222/RealVisXL_V4.0
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+ library_name: diffusers
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+ license: openrail++
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+ inference: true
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+ tags:
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+ - stable-diffusion-xl
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+ - stable-diffusion-xl-diffusers
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+ - text-to-image
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+ - diffusers
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+ - controlnet
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+ - diffusers-training
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the training script had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+
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+ # controlnet-MAK007/sdxl_seg_controlnet
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+
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+ These are controlnet weights trained on SG161222/RealVisXL_V4.0 with new type of conditioning.
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+ You can find some example images below.
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+
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+ prompt: The image showcases a spacious and well-lit living room with a large window that allows natural light to flood the space. The room features a comfortable couch situated in the center, surrounded by several chairs placed around the room. A dining table is also present, accompanied by a few chairs.In addition to the seating arrangements, the living room is adorned with various decorative elements. There are multiple potted plants placed throughout the room, adding a touch of greenery and life to the space. A vase can be seen on a surface, and a bowl is placed nearby. A clock is mounted on the wall, and a book is resting on a surface, indicating that the room is not only for relaxation but also for reading and other leisure activities.
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+ ![images_0)](./images_0.png)
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+ prompt: The image features a large bathroom with a double sink vanity. The vanity is made of wood and has a marble countertop. The sinks are positioned side by side, with one on the left and the other on the right. Above the sinks, there are two mirrors, reflecting the bathroom's interior. In addition to the sinks, there are two toothbrush holders, one on the left side and the other on the right side of the vanity. A towel is also visible, hanging on the wall above the sinks. The bathroom appears to be well-maintained and organized, providing a comfortable space for daily routines.
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+ ![images_1)](./images_1.png)
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+ prompt: The image features a large, clean, and well-organized kitchen with white cabinets and a marble countertop. The kitchen is equipped with a sink, an oven, and a stove. There is a window in the kitchen, allowing natural light to enter the space. Various items can be seen throughout the kitchen, including a bowl, a vase, and a potted plant. There are also several bottles placed on the countertop, and a spoon is visible near the sink. The kitchen is well-stocked with essential items, making it a functional and inviting space.
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+ ![images_2)](./images_2.png)
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+ prompt: The image features a bedroom with a large bed occupying a significant portion of the space. The bed is positioned against a wall, and there is a wooden door nearby. The room also contains a potted plant, which is placed close to the bed, adding a touch of greenery to the space. In addition to the bed and plant, there is a book on the left side of the room, possibly for reading or decoration. The room appears to be well-lit, creating a comfortable and inviting atmosphere.
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+ ![images_3)](./images_3.png)
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+
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+
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+
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+ ## Intended uses & limitations
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+
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+ #### How to use
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+
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+ ```python
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+ # TODO: add an example code snippet for running this diffusion pipeline
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+ ```
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+
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+ #### Limitations and bias
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+
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+ [TODO: provide examples of latent issues and potential remediations]
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+
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+ ## Training details
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+
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+ [TODO: describe the data used to train the model]
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