Text-to-Image
Diffusers
TensorBoard
stable-diffusion
diffusion
distillation
flow-matching
geometric-deep-learning
research
Instructions to use AbstractPhil/sd15-flow-matching with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AbstractPhil/sd15-flow-matching with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AbstractPhil/sd15-flow-matching", 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
Epoch 46 - samples
Browse files
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samples/e45_p3_a_portrait_of_a_person.png filter=lfs diff=lfs merge=lfs -text
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samples/e46_p1_a_mountain_landscape_with_tree.png filter=lfs diff=lfs merge=lfs -text
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samples/e46_p0_a_castle_at_sunset.png
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Git LFS Details
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samples/e46_p1_a_mountain_landscape_with_tree.png
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Git LFS Details
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samples/e46_p2_a_city_street_at_night.png
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Git LFS Details
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samples/e46_p3_a_portrait_of_a_person.png
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samples/e46_p4_abstract_geometric_shapes.png
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Git LFS Details
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