Instructions to use jadechoghari/mar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jadechoghari/mar with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jadechoghari/mar", 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
Update pipeline.py
Browse files- pipeline.py +2 -0
pipeline.py
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from diffusers import DiffusionPipeline
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import torch
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import numpy as np
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from huggingface_hub import hf_hub_download
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from safetensors.torch import load_file
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import os
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from diffusers import DiffusionPipeline
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import torch
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import numpy as np
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import importlib.util
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import sys
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from huggingface_hub import hf_hub_download
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from safetensors.torch import load_file
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import os
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