Comments (4)
Maybe we can use a smaller cache_interval like 3 or 4, and choose a deeper layer for caching by increasing the cache_block_id & cache_layer_id. cache_layer_id=0 & cache_block_id=0
uses the very first skip connection for caching.
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Code:
outputv0 = pipe(
prompt,
image=image,
mask_image=mask,
num_inference_steps=35,
guidance_scale=5.0,
strength=1.0,
num_images_per_prompt=1,
cache_interval=5,
cache_layer_id=0,
cache_block_id=0,
uniform=True,
output_type='pil',
return_dict=True
).images
from deepcache.
Hi @kadirnar, please tune the cache_interval, cache_layer_id & cache_block_id. Caching in a deeper layer can improve the quality yet reduce the speedup.
from deepcache.
Hi @kadirnar, please tune the cache_interval, cache_layer_id & cache_block_id. Caching in a deeper layer can improve the quality yet reduce the speedup.
Can you suggest sample values? I don't know what values I should give.
from deepcache.
Related Issues (20)
- Even more loss-less HOT 1
- is it compatible with Faster-Diffusion?
- Is it useful in the LCM model OpenVino? Can image to image accelerate on CPU
- Base
- It is not work when using the base model in safetensors format. HOT 5
- How much GPU memory is needed to complete the SVD experiment? HOT 3
- deepcache support DPM \DPM etc ?
- Controlnet support?
- pipe.enable_model_cpu_offload() makes every image after first distorted HOT 1
- No Speed Gains HOT 1
- Diffusers 0.26.3 HOT 5
- [issue] Compatibility with torch.compile() if torch >= 2.0 HOT 4
- When i enable Deep Cache my image start being generated as siginficantly more distorted HOT 2
- DeepCache is enabled on model base on SD 1.5 trained by diffusers? HOT 1
- Examples of feature maps in the up-sampling block U2 in Stable Diffusion HOT 4
- Issue: Colab example doesn't work HOT 1
- DeepCache for DDPM HOT 1
- Question about caching implementation HOT 2
- Technical report or paper for Video-DeepCache HOT 1
- Running Stable Diffusion on M1 Mac locally HOT 1
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