Unconditional Image Generation
Diffusers
French
English
Haitian
music
art
text-generation-inference
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---
datasets:
- Falah/image_generation_prompts_SDXL
- pszemraj/text2image-multi-prompt
- Doohae/modern_music_re
- ProGamerGov/StableDiffusion-v1-5-Regularization-Images
- lansinuote/diffusion.1.unconditional
- daspartho/stable-diffusion-prompts
- templates/dataset-card-example
- mariosasko/test_imagefolder_with_metadata
- fka/awesome-chatgpt-prompts
- vicgalle/alpaca-gpt4
- nomic-ai/gpt4all_prompt_generations
- teknium/GPT4-LLM-Cleaned
- Photolens/oasst1-langchain-llama-2-formatted
- open-llm-leaderboard/details_mistralai__Mistral-7B-v0.1
language:
- fr
- en
- ht
metrics:
- accuracy
- character
- code_eval
- bertscore
library_name: diffusers
pipeline_tag: unconditional-image-generation
tags:
- music
- art
- text-generation-inference
---
# Model Card for Model ID
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This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Model Details
### Model Description
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## Uses
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
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## Training Details
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#### Summary
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## Environmental Impact
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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## Technical Specifications [optional]
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