Instructions to use YiYiXu/modular-diffdiff-0704 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YiYiXu/modular-diffdiff-0704 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("YiYiXu/modular-diffdiff-0704", 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 block.py
Browse files
block.py
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@@ -14,7 +14,7 @@ from diffusers.schedulers import EulerDiscreteScheduler
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from diffusers.models import AutoencoderKL
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from diffusers.configuration_utils import FrozenDict
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from diffusers.modular_pipelines.stable_diffusion_xl.before_denoise import prepare_latents_img2img
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from diffusers.modular_pipelines.stable_diffusion_xl.encoders import StableDiffusionXLAutoIPAdapterStep
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from diffusers.modular_pipelines.stable_diffusion_xl.denoise import (
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StableDiffusionXLDenoiseLoopWrapper,
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from diffusers.models import AutoencoderKL
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from diffusers.configuration_utils import FrozenDict
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from diffusers.modular_pipelines.stable_diffusion_xl.before_denoise import prepare_latents_img2img, StableDiffusionXLControlNetAutoInput
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from diffusers.modular_pipelines.stable_diffusion_xl.encoders import StableDiffusionXLAutoIPAdapterStep
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from diffusers.modular_pipelines.stable_diffusion_xl.denoise import (
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StableDiffusionXLDenoiseLoopWrapper,
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