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Merge pull request #1276 from ogmaresca/ddpm_deis_samplers

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Add DDPM and DEIS samplers for diffusers
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cmdr2 2023-05-19 18:21:09 +05:30 committed by GitHub
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3 changed files with 25 additions and 14 deletions
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2
README.md
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@ -58,7 +58,7 @@ Just delete the `EasyDiffusion` folder to uninstall all the downloaded packages.
### Image generation
- **Supports**: "*Text to Image*" and "*Image to Image*".
- **19 Samplers**: `ddim`, `plms`, `heun`, `euler`, `euler_a`, `dpm2`, `dpm2_a`, `lms`, `dpm_solver_stability`, `dpmpp_2s_a`, `dpmpp_2m`, `dpmpp_sde`, `dpm_fast`, `dpm_adaptive`, `unipc_snr`, `unipc_tu`, `unipc_tq`, `unipc_snr_2`, `unipc_tu_2`.
- **21 Samplers**: `ddim`, `plms`, `heun`, `euler`, `euler_a`, `dpm2`, `dpm2_a`, `lms`, `dpm_solver_stability`, `dpmpp_2s_a`, `dpmpp_2m`, `dpmpp_sde`, `dpm_fast`, `dpm_adaptive`, `ddpm`, `deis`, `unipc_snr`, `unipc_tu`, `unipc_tq`, `unipc_snr_2`, `unipc_tu_2`.
- **In-Painting**: Specify areas of your image to paint into.
- **Simple Drawing Tool**: Draw basic images to guide the AI, without needing an external drawing program.
- **Face Correction (GFPGAN)**

16
ui/index.html
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@ -157,16 +157,18 @@
<option value="dpm2_a">DPM2 Ancestral</option>
<option value="lms">LMS</option>
<option value="dpm_solver_stability">DPM Solver (Stability AI)</option>
<option value="dpmpp_2s_a">DPM++ 2s Ancestral (Karras)</option>
<option value="dpmpp_2s_a" class="k_diffusion-only">DPM++ 2s Ancestral (Karras)</option>
<option value="dpmpp_2m">DPM++ 2m (Karras)</option>
<option value="dpmpp_sde">DPM++ SDE (Karras)</option>
<option value="dpm_fast">DPM Fast (Karras)</option>
<option value="dpm_adaptive">DPM Adaptive (Karras)</option>
<option value="unipc_snr">UniPC SNR</option>
<option value="dpmpp_sde" class="k_diffusion-only">DPM++ SDE (Karras)</option>
<option value="dpm_fast" class="k_diffusion-only">DPM Fast (Karras)</option>
<option value="dpm_adaptive" class="k_diffusion-only">DPM Adaptive (Karras)</option>
<option value="ddpm" class="diffusers-only">DDPM</option>
<option value="deis" class="diffusers-only">DEIS</option>
<option value="unipc_snr" class="k_diffusion-only">UniPC SNR</option>
<option value="unipc_tu">UniPC TU</option>
<option value="unipc_snr_2">UniPC SNR 2</option>
<option value="unipc_snr_2" class="k_diffusion-only">UniPC SNR 2</option>
<option value="unipc_tu_2">UniPC TU 2</option>
<option value="unipc_tq">UniPC TQ</option>
<option value="unipc_tq" class="k_diffusion-only">UniPC TQ</option>
</select>
<a href="https://github.com/cmdr2/stable-diffusion-ui/wiki/How-to-Use#samplers" target="_blank"><i class="fa-solid fa-circle-question help-btn"><span class="simple-tooltip top-left">Click to learn more about samplers</span></i></a>
</td></tr>

21
ui/media/js/parameters.js
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@ -388,15 +388,24 @@ async function getAppConfig() {
if (config.net && config.net.listen_port !== undefined) {
listenPortField.value = config.net.listen_port
}
if (config.test_diffusers === undefined || config.update_branch === "main") {
testDiffusers.checked = false
const testDiffusersEnabled = config.test_diffusers && config.update_branch !== "main"
testDiffusers.checked = testDiffusersEnabled
if (!testDiffusersEnabled) {
document.querySelector("#lora_model_container").style.display = "none"
document.querySelector("#lora_alpha_container").style.display = "none"
document.querySelectorAll("#sampler_name option.diffusers-only").forEach(option => {
option.style.display = "none"
})
} else {
testDiffusers.checked = config.test_diffusers && config.update_branch !== "main"
document.querySelector("#lora_model_container").style.display = testDiffusers.checked ? "" : "none"
document.querySelector("#lora_alpha_container").style.display =
testDiffusers.checked && loraModelField.value !== "" ? "" : "none"
document.querySelector("#lora_model_container").style.display = ""
document.querySelector("#lora_alpha_container").style.display = loraModelField.value ? "" : "none"
document.querySelectorAll("#sampler_name option.k_diffusion-only").forEach(option => {
option.disabled = true
})
document.querySelector("#clip_skip_config").classList.remove("displayNone")
}