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  FluffyRock Unbound is a finetune of [Fluffyrock Unleashed v1.0](https://huggingface.co/RedRocket/Fluffyrock-Unleashed) trained on an expanded, curated <a href="https://e621.net/">e621</a> dataset and with training changes adapted from Nvidia Labs <a href="https://arxiv.org/abs/2312.02696">EDM2</a>.
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  This model can produce detailed sexually explicit content and is not suitable for use by minors.
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- The model can produce non-photorealistic images of underage indivduals, animals, and non-consensual sex, but its capability to do so is more limted than other models.
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- It has not been found to produce such content unless prompted to do so, and will generally not produce sexually explicit content at all unless so prompted.
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  ## Downloads
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  <a href="https://huggingface.co/RedRocket/Fluffyrock-Unbound/resolve/main/Fluffyrock-Unbound-v1-1.yaml?download=true">Fluffyrock-Unbound-v1-1.yaml</a> - YAML file for A1111 Stable Diffusion WebUI. Place this in the same folder as the model.<br>
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  <a href="https://huggingface.co/RedRocket/Fluffyrock-Unbound/resolve/main/fluffyrock-unbound-tag-strength-v1.1.csv?download=true">fluffyrock-unbound-tag-strength-v1.1.csv</a> - Recommended tag completion file, representing the strength of each concept in the model. (<a href="fluffyrock-unbound-tag-strength-v1.1.csv
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  ">Raw Counts</a>, <a href="https://huggingface.co/RedRocket/Fluffyrock-Unbound/resolve/main/fluffyrock-unbound-tag-metadata-v1.1.csv?download=true">Metadata</a>)<br>
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- <a href="https://huggingface.co/RedRocket/Fluffyrock-Unbound/resolve/main/boring_e621_unbound_plus.safetensors?download=true">boring_e621_unbound_plus.safetensors</a> - Boring-E621 style negative embeddings to improve quality. Use in the negative prompt. (<a href="https://huggingface.co/RedRocket/Fluffyrock-Unbound/resolve/main/boring_e621_unbound_lite.safetensors?download=true">Lite Version</a>)
 
 
 
 
 
 
 
 
 
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  ## Prompting Guide
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  ## Automatic1111 Stable Diffusion WebUI Instructions
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- ### TODO
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  ## ComfyUI Instructions
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  ## Dataset Changes
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  - A sizeable overhaul of E621 tagging was done, removing several useless tags and renaming others. We are including new tag files that represent the current state of the dataset.
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- - The dataset was currated to remove hamful content, and content which was previously found to negatively impact generation quality for adjacent concepts.
 
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  FluffyRock Unbound is a finetune of [Fluffyrock Unleashed v1.0](https://huggingface.co/RedRocket/Fluffyrock-Unleashed) trained on an expanded, curated <a href="https://e621.net/">e621</a> dataset and with training changes adapted from Nvidia Labs <a href="https://arxiv.org/abs/2312.02696">EDM2</a>.
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  This model can produce detailed sexually explicit content and is not suitable for use by minors.
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+ It will generally not produce sexually explicit content at all unless prompted.
 
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  ## Downloads
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  <a href="https://huggingface.co/RedRocket/Fluffyrock-Unbound/resolve/main/Fluffyrock-Unbound-v1-1.yaml?download=true">Fluffyrock-Unbound-v1-1.yaml</a> - YAML file for A1111 Stable Diffusion WebUI. Place this in the same folder as the model.<br>
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  <a href="https://huggingface.co/RedRocket/Fluffyrock-Unbound/resolve/main/fluffyrock-unbound-tag-strength-v1.1.csv?download=true">fluffyrock-unbound-tag-strength-v1.1.csv</a> - Recommended tag completion file, representing the strength of each concept in the model. (<a href="fluffyrock-unbound-tag-strength-v1.1.csv
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  ">Raw Counts</a>, <a href="https://huggingface.co/RedRocket/Fluffyrock-Unbound/resolve/main/fluffyrock-unbound-tag-metadata-v1.1.csv?download=true">Metadata</a>)<br>
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+
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+ ### TI Embeddings
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+ <a href="https://huggingface.co/RedRocket/Fluffyrock-Unbound/resolve/main/boring_e621_unbound_lite.safetensors?download=true">boring_e621_unbound_lite</a>
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+ <a href="https://huggingface.co/RedRocket/Fluffyrock-Unbound/resolve/main/boring_e621_unbound_plus.safetensors?download=true">boring_e621_unbound_plus</a>
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+ Currently experimental textual inversion embeddings in a similar vein to the [Boring Embeddings](https://huggingface.co/FoodDesert/Boring_Embeddings). Intended to improve quality while not drastically altering image content. Intended to be used as part of a negative prompt (although using them in the positive prompt will work and may be even more fun).
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+ The "lite" version is 6 tokens wide and is initialized on the values of ``by <|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|>``, which is very close to a "blank slate
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+ The "plus" version is trained on the same dataset, is 8 tokens wide, and is initialized on an average vector of 100 low-scoring artists. Currently, the "lite" version is recommended.
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  ## Prompting Guide
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  ## Automatic1111 Stable Diffusion WebUI Instructions
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+ Place the model and the corresponding .yaml file in the ``models/Stable-diffusion/`` folder. The model will not work properly without the .yaml file. You should also go to Settings -> Sampler Parameters and choose Zero Terminal SNR as the "Noise schedule for sampling" for ideal results.
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  ## ComfyUI Instructions
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  ## Dataset Changes
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  - A sizeable overhaul of E621 tagging was done, removing several useless tags and renaming others. We are including new tag files that represent the current state of the dataset.
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+ - The dataset was curated to remove harmful content that was discovered in the prior dataset, and content which was previously found to negatively impact generation quality for adjacent concepts.