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Preservable Stable Diffusion

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Henk
2023-09-10 14:24:12 +02:00
parent 66d1ee11c7
commit d66bb6bc6a
1 changed files with 5 additions and 2 deletions
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7
aiserver.py
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@@ -7356,7 +7356,7 @@ def generate_image(prompt: str) -> Optional[Image.Image]:
if koboldai_vars.img_gen_priority == 4:
# Check if stable-diffusion-webui API option selected and use that if found.
return text2img_api(prompt)
elif ((not koboldai_vars.hascuda or not os.path.exists("functional_models/stable-diffusion")) and koboldai_vars.img_gen_priority != 0) or koboldai_vars.img_gen_priority == 3:
elif ((not koboldai_vars.hascuda or not os.path.exists("functional_models/stable-diffusion/model_index.json")) and koboldai_vars.img_gen_priority != 0) or koboldai_vars.img_gen_priority == 3:
# If we don't have a GPU, use horde if we're allowed to
return text2img_horde(prompt)
@@ -7382,7 +7382,10 @@ def text2img_local(prompt: str) -> Optional[Image.Image]:
logger.debug("Generating Image")
from diffusers import StableDiffusionPipeline
if koboldai_vars.image_pipeline is None:
pipe = tpool.execute(StableDiffusionPipeline.from_pretrained, "XpucT/Deliberate", safety_checker=None, torch_dtype=torch.float16, cache="functional_models/stable-diffusion").to("cuda")
if not os.path.exists("functional_models/stable-diffusion/model_index.json"):
from huggingface_hub import snapshot_download
snapshot_download("XpucT/Deliberate", local_dir="functional_models/stable-diffusion", local_dir_use_symlinks=False, cache_dir="cache/", ignore_patterns=["*.safetensors"])
pipe = tpool.execute(StableDiffusionPipeline.from_pretrained, "functional_models/stable-diffusion", safety_checker=None, torch_dtype=torch.float16).to("cuda")
else:
pipe = koboldai_vars.image_pipeline.to("cuda")
logger.debug("time to load: {}".format(time.time() - start_time))