[ImageGeneration] EulerAncestralDiscreteScheduler #1407
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category: text to image
| // while return patched ones by 'strength' parameter | ||
| m_timesteps = std::vector<int64_t>(m_timesteps.begin() + t_start, m_timesteps.end()); | ||
| m_begin_index = t_start; | ||
| } |
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have you tried that image2image works the same as in diffusers? when strength parameter < 1
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Input image:
prompt = "robotic racoon with wings"
strength=0.8
num_inference_steps=20
Result:
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category: llm_bench
ilya-lavrenov
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Dec 18, 2024
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