Instructions to use emilianJR/majicMIX_realistic_v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use emilianJR/majicMIX_realistic_v6 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("emilianJR/majicMIX_realistic_v6", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from emilianJR/majicMIX_realistic_v6: direct link, hf CLI and curl.
- Browser
- Download file 1.99 kB
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https://huggingface.co/emilianJR/majicMIX_realistic_v6/resolve/main/README.md
- Command line
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hf download hf://emilianJR/majicMIX_realistic_v6/README.md
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curl -L -o README.md https://huggingface.co/emilianJR/majicMIX_realistic_v6/resolve/main/README.md
1.99 kB
| language: | |
| - en | |
| license: creativeml-openrail-m | |
| tags: | |
| - stable-diffusion | |
| - stable-diffusion-diffusers | |
| - text-to-image | |
| - diffusers | |
| inference: true | |
| Diffuser model for this SD checkpoint: | |
| https://civitai.com/models/43331/majicmix-realistic | |
| **emilianJR/majicMIX_realistic_v6** is the HuggingFace diffuser that you can use with **diffusers.StableDiffusionPipeline()**. | |
| Examples | Examples | Examples | |
| ---- | ---- | ---- | |
|  |  |  | |
|  |  |  | |
| ------- | |
| ## 🧨 Diffusers | |
| This model can be used just like any other Stable Diffusion model. For more information, | |
| please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion). | |
| ```python | |
| from diffusers import StableDiffusionPipeline | |
| import torch | |
| model_id = "emilianJR/majicMIX_realistic_v6" | |
| pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16) | |
| pipe = pipe.to("cuda") | |
| prompt = "YOUR PROMPT" | |
| image = pipe(prompt).images[0] | |
| image.save("image.png") | |
| ``` | |
| ## License | |
| This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage. | |
| The CreativeML OpenRAIL License specifies: | |
| [Please read the full license here](https://huggingface.co/spaces/CompVis/stable-diffusion-license) |