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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pipeline_tag: text-to-image
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library_name:
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tags:
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datasets:
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- Rapidata/Flux_SD3_MJ_Dalle_Human_Coherence_Dataset
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---
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# Floral High Dynamic Range | Large Image Generation Model
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<div style="display: flex; justify-content: center;">
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- stabilityai/stable-diffusion-3.5-large
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- Jovie/Midjourney
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pipeline_tag: text-to-image
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library_name: transformers
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tags:
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- text-to-image
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- image-generation
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- 22th-Generation-Model
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- Large-Image-Generation-Model
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datasets:
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- future-technologies/Universal-Transformers-Dataset
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---
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# Floral High Dynamic Range | Large Image Generation Model
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<div style="display: flex; justify-content: center;">
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