Instructions to use Mitsua/mitsua-diffusion-one with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mitsua/mitsua-diffusion-one with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Mitsua/mitsua-diffusion-one", 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
- Draw Things
- DiffusionBee
Swap pipeline type
#1
by multimodalart HF Staff - opened
- model_index.json +1 -1
model_index.json
CHANGED
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@@ -1,5 +1,5 @@
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{
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-
"_class_name": "
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"_diffusers_version": "0.11.1",
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"feature_extractor": [
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"transformers",
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{
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+
"_class_name": "StableDiffusionPipeline",
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"_diffusers_version": "0.11.1",
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"feature_extractor": [
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"transformers",
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