Update README.md

README.md

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-license: creativeml-openrail-m
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+# Model Card for ranma_diffusion
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+<!-- Provide a quick summary of what the model is/does. [Optional] -->
+A fine tuned diffusion model that attempts to imitate the style of late &#39;80s early 90&#39;s anime specifically, the Ranma 1/2 anime.
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+This model was trained using  TheLastBen&#39;s fast-stable-diffusion for dreambooth. Model was trained on  121 screenshots from Ranma 1/2, with 3000* steps, and Anything-V3.0 as the base model. 
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+*3250 for ver2. 
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+# Model Details
+
+## Model Description
+
+<!-- Provide a longer summary of what this model is/does. -->
+A fine tuned diffusion model that attempts to imitate the style of late &#39;80s early 90&#39;s anime specifically, the Ranma 1/2 anime. Use &#34;80sanimestyle&#34; in your prompt.  This model benefits a lot from playing around with different sampling methods, but I feel like DPM2, DPM2 a, DPM++ 2S a, DPM++ 2M, DPM2 Karras, DPM2 a Karras, DPM++ 2S a Karras, DPM++ 2M Karras, work the best with this model. 
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+This model was trained using  TheLastBen&#39;s fast-stable-diffusion for dreambooth. Model was trained on  121 screenshots from Ranma 1/2, with 3000* steps, and Anything-V3.0 as the base model. 
+
+*3250 for ver2. 
+
+
+- **Developed by:** More information needed
+- **Shared by [Optional]:** More information needed
+- **Model type:** Language model
+- **Language(s) (NLP):** en
+- **License:** creativeml-openrail-m
+- **Parent Model:** More information needed
+- **Resources for more information:** More information needed
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+# Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+## Direct Use
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+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+<!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info needed." -->
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+# Bias, Risks, and Limitations
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+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups.
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+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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