Instructions to use future-technologies/Floral-High-Dynamic-Range with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use future-technologies/Floral-High-Dynamic-Range with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("future-technologies/Floral-High-Dynamic-Range", 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
- Draw Things
- DiffusionBee
Revlon Carter commited on
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README.md
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<img src="./floral-hdr-generation-output-example5.png" alt="Floral HDR Image 3" width="150" height="150">
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**Floral High Dynamic Range (LIGM):**
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Created by: Future Technologies Limited
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<img src="./floral-hdr-generation-output-example5.png" alt="Floral HDR Image 3" width="150" height="150">
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**Floral High Dynamic Range (LIGM):**
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> **If you appreciate this model's contribution to open-source AI, please consider liking it and following [Lambda Go](https://huggingface.co/future-technologies) for future updates.**
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A Large Image Generation Model (LIGM) celebrated for its exceptional accuracy in generating high-quality, highly detailed scenes like never seen before! Derived from the groundbreaking Floral AI Model—renowned for its use in film generation—this model marks a milestone in image synthesis technology.
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Created by: Future Technologies Limited
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