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
Delete inference.json
Browse files- inference.json +0 -25
inference.json
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{
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"version": 1,
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"command": "python3 app.py",
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"hardware": "auto",
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"framework": "diffusers",
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"enable_inference": true,
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"enable_gradio": true,
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"gradio_ui": {
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"title": "Floral High Dynamic Range - Image Generation",
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"description": "Generate high-quality images using the Floral High Dynamic Range model.",
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"inputs": [
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{
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"type": "text",
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"label": "Enter your prompt"
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}
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],
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"outputs": [
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{
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"type": "image",
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"label": "Generated Image"
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}
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],
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"button_text": "Compute"
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}
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}
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