Instructions to use deepgoyal19/mysd1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use deepgoyal19/mysd1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("deepgoyal19/mysd1", 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
Commit ·
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Parent(s): 253415d
Update model_index.json
Browse files- model_index.json +1 -1
model_index.json
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{
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"_class_name": "StableDiffusionPipeline",
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"_diffusers_version": "0.
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"feature_extractor": [
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"transformers",
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"CLIPImageProcessor"
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{
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"_class_name": "StableDiffusionPipeline",
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"_diffusers_version": "0.6.0",
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"feature_extractor": [
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"transformers",
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"CLIPImageProcessor"
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