Instructions to use roshanVarghese/TextToImageShoe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use roshanVarghese/TextToImageShoe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("roshanVarghese/TextToImageShoe", 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
Update model_index.json
Browse files- model_index.json +0 -8
model_index.json
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{
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"_class_name": "diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline",
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"_diffusers_version": "0.21.4",
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"feature_extractor": [
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"feature_extractor",
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"preprocessor_config.json"
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],
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"safety_checker": [
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"safety_checker",
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"model.safetensors"
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],
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"scheduler": [
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"scheduler",
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"scheduler_config.json"
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{
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"_class_name": "diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline",
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"_diffusers_version": "0.21.4",
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"scheduler": [
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"scheduler",
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"scheduler_config.json"
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