Instructions to use fusing/rdm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fusing/rdm with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fusing/rdm", 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
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`.
#1
by patrickvonplaten - opened
- model_index.json +1 -1
model_index.json
CHANGED
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@@ -7,7 +7,7 @@
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],
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"feature_extractor": [
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"transformers",
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-
"
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],
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"scheduler": [
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"diffusers",
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],
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"feature_extractor": [
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"transformers",
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+
"CLIPImageProcessor"
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],
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"scheduler": [
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"diffusers",
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