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inpaint model progress

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- working with plain prompts, weighted prompts and merge prompts
- not tested with prompt2prompt
This commit is contained in:
Lincoln Stein
2022-10-26 22:40:01 -04:00
parent 2daf187bdb
commit 0d0481ce75
4 changed files with 16 additions and 11 deletions
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9
ldm/models/diffusion/ksampler.py
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@ -43,14 +43,7 @@ class CFGDenoiser(nn.Module):
def forward(self, x, sigma, uncond, cond, cond_scale):
if isinstance(cond,dict): # hybrid model
x_in = torch.cat([x] * 2)
sigma_in = torch.cat([sigma] * 2)
cond_in = self.sampler.make_cond_in(uncond,cond)
uncond, cond = self.inner_model(x_in, sigma_in, cond=cond_in).chunk(2)
next_x = uncond + (cond - uncond) * cond_scale
else: # cross attention model
next_x = self.invokeai_diffuser.do_diffusion_step(x, sigma, uncond, cond, cond_scale)
next_x = self.invokeai_diffuser.do_diffusion_step(x, sigma, uncond, cond, cond_scale)
if self.warmup < self.warmup_max:
thresh = max(1, 1 + (self.threshold - 1) * (self.warmup / self.warmup_max))
self.warmup += 1