Instructions to use Osama03/Finetuned_diffusion_interiordesign with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Osama03/Finetuned_diffusion_interiordesign with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Osama03/Finetuned_diffusion_interiordesign") prompt = "Design a modern home office with a large wooden desk facing a window, a comfortable ergonomic chair, and shelves filled with books and decorative items. Include a laptop on the desk, a small indoor plant, and a motivational quote framed on the wall. The color scheme should be calm and professional, with light gray walls and blue accents." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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model_index.json
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"_class_name": "StableDiffusionPipeline",
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"_diffusers_version": "0.2.2",
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"feature_extractor": [
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"transformers",
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"CLIPImageProcessor"
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],
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"safety_checker": [
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"stable_diffusion",
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"StableDiffusionSafetyChecker"
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],
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"scheduler": [
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"diffusers",
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"PNDMScheduler"
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"text_encoder": [
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"CLIPTextModel"
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"tokenizer": [
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"transformers",
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"CLIPTokenizer"
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],
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"unet": [
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"diffusers",
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"UNet2DConditionModel"
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],
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"vae": [
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"diffusers",
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"AutoencoderKL"
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