Instructions to use Iratze/image_generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Iratze/image_generator with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Iratze/image_generator", 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 Settings
- Draw Things
- DiffusionBee
Upload config.json
Browse files- config.json +8 -0
config.json
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{
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"_class_name": "StableDiffusionPipeline",
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"model_type": "stable-diffusion",
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"framework": "diffusers",
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"task": "text-to-image",
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"pretrained_model_name_or_path": "CompVis/stable-diffusion-v1-4"
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}
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