Fix scheduler type mismatch #3041
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When doing generation manually and using guidance_scale as a static argument.
pcuenca
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Apr 10, 2023
| context = jnp.concatenate([negative_prompt_embeds, prompt_embeds]) | ||
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| # Ensure model output will be `float32` before going into the scheduler | ||
| guidance_scale = jnp.array([guidance_scale], dtype=jnp.float32) |
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An alternative would be to simply cast to the correct type before invoking the step function. I did it this way for symmetry with what happens here: https://github.com/huggingface/diffusers/blob/main/src/diffusers/pipelines/stable_diffusion/pipeline_flax_stable_diffusion.py#L369
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The documentation is not available anymore as the PR was closed or merged. |
w4ffl35
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Apr 14, 2023
When doing generation manually and using guidance_scale as a static argument.
dg845
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May 6, 2023
When doing generation manually and using guidance_scale as a static argument.
yoonseokjin
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Dec 25, 2023
When doing generation manually and using guidance_scale as a static argument.
AmericanPresidentJimmyCarter
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Apr 26, 2024
When doing generation manually and using guidance_scale as a static argument.
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When doing generation manually instead of using
__call__, and using guidance_scale as a static argument.See #3039 for a discussion.