End of training
Browse files- .gitattributes +17 -0
- README.md +77 -0
- config.json +20 -0
- diffusion_pytorch_model.safetensors +3 -0
- image_control.png +3 -0
- images_0.png +3 -0
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- images_7.png +3 -0
- images_8.png +3 -0
- images_9.png +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model: black-forest-labs/FLUX.1-dev
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library_name: diffusers
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license: other
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inference: true
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tags:
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- flux
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- flux-diffusers
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- text-to-image
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- diffusers
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- control
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- diffusers-training
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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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# flux-control-sayakpaul/omniflux-lr_5e-5-wd_1e-6-gs_30.0-cd_0.0-scheduler_constant-simplied_flow
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These are Control weights trained on black-forest-labs/FLUX.1-dev and [TIGER-Lab/OmniEdit-Filtered-1.2M](https://huggingface.co/datasets/TIGER-Lab/OmniEdit-Filtered-1.2M).
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You can find some example images below.
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prompt: Give this the look of a traditional Japanese woodblock print.
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![images_0)](./images_0.png)
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prompt: Give this the look of a traditional Japanese woodblock print.
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![images_1)](./images_1.png)
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prompt: Give this the look of a traditional Japanese woodblock print.
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![images_2)](./images_2.png)
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prompt: Give this the look of a traditional Japanese woodblock print.
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![images_3)](./images_3.png)
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prompt: transform the setting to a winter scene
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![images_4)](./images_4.png)
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prompt: transform the setting to a winter scene
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![images_5)](./images_5.png)
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prompt: transform the setting to a winter scene
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![images_6)](./images_6.png)
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prompt: transform the setting to a winter scene
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![images_7)](./images_7.png)
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prompt: Change it to look like it's in the style of an impasto painting.
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![images_8)](./images_8.png)
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prompt: Change it to look like it's in the style of an impasto painting.
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![images_9)](./images_9.png)
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prompt: Change it to look like it's in the style of an impasto painting.
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![images_10)](./images_10.png)
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prompt: Change it to look like it's in the style of an impasto painting.
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![images_11)](./images_11.png)
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prompt: turn the color of mushroom to gray
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![images_12)](./images_12.png)
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prompt: turn the color of mushroom to gray
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![images_13)](./images_13.png)
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prompt: turn the color of mushroom to gray
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![images_14)](./images_14.png)
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prompt: turn the color of mushroom to gray
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![images_15)](./images_15.png)
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## License
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Please adhere to the licensing terms as described [here](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md)
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## Intended uses & limitations
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#### How to use
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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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#### Limitations and bias
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[TODO: provide examples of latent issues and potential remediations]
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## Training details
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[TODO: describe the data used to train the model]
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config.json
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{
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"_class_name": "FluxTransformer2DModel",
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"_diffusers_version": "0.33.0.dev0",
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"_name_or_path": "black-forest-labs/FLUX.1-dev",
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"attention_head_dim": 128,
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"axes_dims_rope": [
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16,
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56,
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56
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],
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"guidance_embeds": true,
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"in_channels": 128,
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"joint_attention_dim": 4096,
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"num_attention_heads": 24,
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"num_layers": 19,
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"num_single_layers": 38,
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"out_channels": 64,
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"patch_size": 1,
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"pooled_projection_dim": 768
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}
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diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b48435d7cd6639d1ed7ff5c2608fdbc12dbbdb42f589d7b014a2e292dbde7aae
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size 23803348832
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