Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
lora
poralus
enchanted
asmr
ethereal
artistic
Instructions to use Below-Image/Poralus-Image-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Below-Image/Poralus-Image-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Below-Image/Poralus-Image-1") prompt = "a professional, high enchanted forest, asmr style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Sayana commited on
Add files using upload-large-folder tool
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model_index.json
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"vae": [
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"_class_name": "StableDiffusionPipeline",
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"_diffusers_version": "0.21.0",
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"feature_extractor": [
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"transformers",
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"ViTFeatureExtractor"
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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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"transformers",
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"CLIPTextModel"
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"tokenizer": [
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"transformers",
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"CLIPTokenizer"
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"transformer": [
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"diffusers",
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"Transformer2DModel"
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],
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"vae": [
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"diffusers",
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"AutoencoderKL"
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}
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